fix: dup line

.pre-commit-config.yaml

@@ -0,0 +1,7 @@
+repos:
+- repo: https://github.com/psf/black
+  rev: 24.2.0
+  hooks:
+  - id: black
+    language_version: python
+    args: [--line-length=88, --quiet]

README.md

@@ -37,8 +37,9 @@ jobs = scrape_jobs(
     search_term="software engineer",
     location="Dallas, TX",
     results_wanted=20,
-    hours_old=72, # (only linkedin is hour specific, others round up to days old)
-    country_indeed='USA'  # only needed for indeed / glassdoor
+    hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old)
+    country_indeed='USA',  # only needed for indeed / glassdoor
+    # linkedin_fetch_description=True # get full description and direct job url for linkedin (slower)
 )
 print(f"Found {len(jobs)} jobs")
 print(jobs.head())
@@ -48,7 +49,7 @@ jobs.to_csv("jobs.csv", quoting=csv.QUOTE_NONNUMERIC, escapechar="\\", index=Fal
 ### Output
 
 ```
-SITE           TITLE                             COMPANY_NAME      CITY          STATE  JOB_TYPE  INTERVAL  MIN_AMOUNT  MAX_AMOUNT  JOB_URL                                            DESCRIPTION
+SITE           TITLE                             COMPANY           CITY          STATE  JOB_TYPE  INTERVAL  MIN_AMOUNT  MAX_AMOUNT  JOB_URL                                            DESCRIPTION
 indeed         Software Engineer                 AMERICAN SYSTEMS  Arlington     VA     None      yearly    200000      150000      https://www.indeed.com/viewjob?jk=5e409e577046...  THIS POSITION COMES WITH A 10K SIGNING BONUS!...
 indeed         Senior Software Engineer          TherapyNotes.com  Philadelphia  PA     fulltime  yearly    135000      110000      https://www.indeed.com/viewjob?jk=da39574a40cb...  About Us TherapyNotes is the national leader i...
 linkedin       Software Engineer - Early Career  Lockheed Martin   Sunnyvale     CA     fulltime  yearly    None        None        https://www.linkedin.com/jobs/view/3693012711      Description:By bringing together people that u...
@@ -60,23 +61,24 @@ zip_recruiter Software Developer                 TEKsystems        Phoenix
 ### Parameters for `scrape_jobs()`
 
 ```plaintext
-Required
-├── site_type (List[enum]): linkedin, zip_recruiter, indeed, glassdoor
-└── search_term (str)
 Optional
+├── site_name (list|str): linkedin, zip_recruiter, indeed, glassdoor (default is all four)
+├── search_term (str)
 ├── location (str)
 ├── distance (int): in miles, default 50
-├── job_type (enum): fulltime, parttime, internship, contract
+├── job_type (str): fulltime, parttime, internship, contract
 ├── proxy (str): in format 'http://user:pass@host:port'
 ├── is_remote (bool)
-├── linkedin_fetch_description (bool): fetches full description for LinkedIn (slower)
-├── results_wanted (int): number of job results to retrieve for each site specified in 'site_type'
-├── easy_apply (bool): filters for jobs that are hosted on the job board site
-├── linkedin_company_ids (list[int): searches for linkedin jobs with specific company ids
-├── description_format (enum): markdown, html (format type of the job descriptions)
-├── country_indeed (enum): filters the country on Indeed (see below for correct spelling)
-├── offset (num): starts the search from an offset (e.g. 25 will start the search from the 25th result)
-├── hours_old (int): filters jobs by the number of hours since the job was posted (ZipRecruiter and Glassdoor round up to next day. If you use this on Indeed, it will not filter by job_type or is_remote)
+├── results_wanted (int): number of job results to retrieve for each site specified in 'site_name'
+├── easy_apply (bool): filters for jobs that are hosted on the job board site (LinkedIn & Indeed do not allow pairing this with hours_old)
+├── linkedin_fetch_description (bool): fetches full description and direct job url for LinkedIn (slower)
+├── linkedin_company_ids (list[int]): searches for linkedin jobs with specific company ids
+├── description_format (str): markdown, html (Format type of the job descriptions. Default is markdown.)
+├── country_indeed (str): filters the country on Indeed (see below for correct spelling)
+├── offset (int): starts the search from an offset (e.g. 25 will start the search from the 25th result)
+├── hours_old (int): filters jobs by the number of hours since the job was posted (ZipRecruiter and Glassdoor round up to next day. If you use this on Indeed, it will not filter by job_type/is_remote/easy_apply)
+├── verbose (int) {0, 1, 2}: Controls the verbosity of the runtime printouts (0 prints only errors, 1 is errors+warnings, 2 is all logs. Default is 2.)
+├── hyperlinks (bool): Whether to turn `job_url`s into hyperlinks. Default is false.
 ```
 
 ### JobPost Schema
@@ -119,7 +121,7 @@ Indeed specific
 
 ### **LinkedIn**
 
-LinkedIn searches globally & uses only the `location` parameter. You can only fetch 1000 jobs max from the LinkedIn endpoint we are using
+LinkedIn searches globally & uses only the `location` parameter. 
 
 ### **ZipRecruiter**
 
@@ -154,9 +156,9 @@ You can specify the following countries when searching on Indeed (use the exact
 
 ## Notes
 * Indeed is the best scraper currently with no rate limiting.  
-* Glassdoor can only fetch 900 jobs from the endpoint we're using on a given search.  
-* LinkedIn is the most restrictive and usually rate limits on around the 10th page  
-* ZipRecruiter is okay but has a 5 second delay in between each page to avoid rate limiting.
+* All the job board endpoints are capped at around 1000 jobs on a given search.  
+* LinkedIn is the most restrictive and usually rate limits around the 10th page.
+
 ## Frequently Asked Questions
 
 ---

examples/JobSpy_LongScrape.py

@@ -32,17 +32,18 @@ while len(all_jobs) < results_wanted:
                 search_term="software engineer",
                 # New York, NY
                 # Dallas, TX
-
                 # Los Angeles, CA
                 location="Los Angeles, CA",
-                results_wanted=min(results_in_each_iteration, results_wanted - len(all_jobs)),
+                results_wanted=min(
+                    results_in_each_iteration, results_wanted - len(all_jobs)
+                ),
                 country_indeed="USA",
                 offset=offset,
                 # proxy="http://jobspy:5a4vpWtj8EeJ2hoYzk@ca.smartproxy.com:20001",
             )
 
             # Add the scraped jobs to the list
-            all_jobs.extend(jobs.to_dict('records'))
+            all_jobs.extend(jobs.to_dict("records"))
 
             # Increment the offset for the next page of results
             offset += results_in_each_iteration

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "python-jobspy"
-version = "1.1.48"
+version = "1.1.52"
 description = "Job scraper for LinkedIn, Indeed, Glassdoor & ZipRecruiter"
 authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
 homepage = "https://github.com/Bunsly/JobSpy"
@@ -19,12 +19,18 @@ NUMPY = "1.24.2"
 pydantic = "^2.3.0"
 tls-client = "^1.0.1"
 markdownify = "^0.11.6"
+regex = "^2024.4.28"
 
 
 [tool.poetry.group.dev.dependencies]
 pytest = "^7.4.1"
 jupyter = "^1.0.0"
+black = "*"
+pre-commit = "*"
 
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"
+
+[tool.black]
+line-length = 88

src/jobspy/__init__.py

@@ -1,9 +1,11 @@
+from __future__ import annotations
+
 import pandas as pd
 from typing import Tuple
 from concurrent.futures import ThreadPoolExecutor, as_completed
 
 from .jobs import JobType, Location
-from .scrapers.utils import logger
+from .scrapers.utils import logger, set_logger_level
 from .scrapers.indeed import IndeedScraper
 from .scrapers.ziprecruiter import ZipRecruiterScraper
 from .scrapers.glassdoor import GlassdoorScraper
@@ -34,11 +36,12 @@ def scrape_jobs(
     linkedin_company_ids: list[int] | None = None,
     offset: int | None = 0,
     hours_old: int = None,
+    verbose: int = 2,
     **kwargs,
 ) -> pd.DataFrame:
     """
     Simultaneously scrapes job data from multiple job sites.
-    :return: results_wanted: pandas dataframe containing job data
+    :return: pandas dataframe containing job data
     """
     SCRAPER_MAPPING = {
         Site.LINKEDIN: LinkedInScraper,
@@ -46,6 +49,7 @@ def scrape_jobs(
         Site.ZIP_RECRUITER: ZipRecruiterScraper,
         Site.GLASSDOOR: GlassdoorScraper,
     }
+    set_logger_level(verbose)
 
     def map_str_to_site(site_name: str) -> Site:
         return Site[site_name.upper()]
@@ -70,6 +74,7 @@ def scrape_jobs(
                 for site in site_name
             ]
         return site_types
+
     country_enum = Country.from_string(country_indeed)
 
     scraper_input = ScraperInput(
@@ -86,14 +91,15 @@ def scrape_jobs(
         results_wanted=results_wanted,
         linkedin_company_ids=linkedin_company_ids,
         offset=offset,
-        hours_old=hours_old
+        hours_old=hours_old,
     )
 
     def scrape_site(site: Site) -> Tuple[str, JobResponse]:
         scraper_class = SCRAPER_MAPPING[site]
         scraper = scraper_class(proxy=proxy)
         scraped_data: JobResponse = scraper.scrape(scraper_input)
-        site_name = 'ZipRecruiter' if site.value.capitalize() == 'Zip_recruiter' else site.value.capitalize()
+        cap_name = site.value.capitalize()
+        site_name = "ZipRecruiter" if cap_name == "Zip_recruiter" else cap_name
         logger.info(f"{site_name} finished scraping")
         return site.value, scraped_data
 
@@ -117,9 +123,8 @@ def scrape_jobs(
     for site, job_response in site_to_jobs_dict.items():
         for job in job_response.jobs:
             job_data = job.dict()
-            job_data[
-                "job_url_hyper"
-            ] = f'<a href="{job_data["job_url"]}">{job_data["job_url"]}</a>'
+            job_url = job_data["job_url"]
+            job_data["job_url_hyper"] = f'<a href="{job_url}">{job_url}</a>'
             job_data["site"] = site
             job_data["company"] = job_data["company_name"]
             job_data["job_type"] = (
@@ -156,7 +161,7 @@ def scrape_jobs(
 
     if jobs_dfs:
         # Step 1: Filter out all-NA columns from each DataFrame before concatenation
-        filtered_dfs = [df.dropna(axis=1, how='all') for df in jobs_dfs]
+        filtered_dfs = [df.dropna(axis=1, how="all") for df in jobs_dfs]
 
         # Step 2: Concatenate the filtered DataFrames
         jobs_df = pd.concat(filtered_dfs, ignore_index=True)
@@ -178,7 +183,6 @@ def scrape_jobs(
             "is_remote",
             "emails",
             "description",
-
             "company_url",
             "company_url_direct",
             "company_addresses",
@@ -201,6 +205,6 @@ def scrape_jobs(
         jobs_df = jobs_df[desired_order]
 
         # Step 4: Sort the DataFrame as required
-        return jobs_df.sort_values(by=['site', 'date_posted'], ascending=[True, False])
+        return jobs_df.sort_values(by=["site", "date_posted"], ascending=[True, False])
     else:
         return pd.DataFrame()

src/jobspy/jobs/__init__.py

@@ -1,3 +1,5 @@
+from __future__ import annotations
+
 from typing import Optional
 from datetime import date
 from enum import Enum
@@ -156,7 +158,7 @@ class Country(Enum):
         """Convert a string to the corresponding Country enum."""
         country_str = country_str.strip().lower()
         for country in cls:
-            country_names = country.value[0].split(',')
+            country_names = country.value[0].split(",")
             if country_str in country_names:
                 return country
         valid_countries = [country.value for country in cls]
@@ -178,7 +180,10 @@ class Location(BaseModel):
             location_parts.append(self.state)
         if isinstance(self.country, str):
             location_parts.append(self.country)
-        elif self.country and self.country not in (Country.US_CANADA, Country.WORLDWIDE):
+        elif self.country and self.country not in (
+            Country.US_CANADA,
+            Country.WORLDWIDE,
+        ):
             country_name = self.country.value[0]
             if "," in country_name:
                 country_name = country_name.split(",")[0]

src/jobspy/scrapers/__init__.py

@@ -1,10 +1,14 @@
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+
 from ..jobs import (
     Enum,
     BaseModel,
     JobType,
     JobResponse,
     Country,
-    DescriptionFormat
+    DescriptionFormat,
 )
 
 
@@ -34,9 +38,10 @@ class ScraperInput(BaseModel):
     hours_old: int | None = None
 
 
-class Scraper:
+class Scraper(ABC):
     def __init__(self, site: Site, proxy: list[str] | None = None):
         self.site = site
         self.proxy = (lambda p: {"http": p, "https": p} if p else None)(proxy)
 
+    @abstractmethod
     def scrape(self, scraper_input: ScraperInput) -> JobResponse: ...

src/jobspy/scrapers/glassdoor/__init__.py

@@ -4,21 +4,23 @@ jobspy.scrapers.glassdoor
 
 This module contains routines to scrape Glassdoor.
 """
-import json
-import re
 
+from __future__ import annotations
+
+import re
+import json
 import requests
-from typing import Optional
+from typing import Optional, Tuple
 from datetime import datetime, timedelta
 from concurrent.futures import ThreadPoolExecutor, as_completed
-from ..utils import extract_emails_from_text
 
 from .. import Scraper, ScraperInput, Site
+from ..utils import extract_emails_from_text
 from ..exceptions import GlassdoorException
 from ..utils import (
     create_session,
     markdown_converter,
-    logger
+    logger,
 )
 from ...jobs import (
     JobPost,
@@ -27,7 +29,7 @@ from ...jobs import (
     Location,
     JobResponse,
     JobType,
-    DescriptionFormat
+    DescriptionFormat,
 )
 
 
@@ -59,25 +61,22 @@ class GlassdoorScraper(Scraper):
 
         self.session = create_session(self.proxy, is_tls=True, has_retry=True)
         token = self._get_csrf_token()
-        self.headers['gd-csrf-token'] = token if token else self.fallback_token
+        self.headers["gd-csrf-token"] = token if token else self.fallback_token
 
         location_id, location_type = self._get_location(
             scraper_input.location, scraper_input.is_remote
         )
         if location_type is None:
-            logger.error('Glassdoor: location not parsed')
+            logger.error("Glassdoor: location not parsed")
             return JobResponse(jobs=[])
         all_jobs: list[JobPost] = []
         cursor = None
 
-        for page in range(
-            1 + (scraper_input.offset // self.jobs_per_page),
-            min(
-                (scraper_input.results_wanted // self.jobs_per_page) + 2,
-                self.max_pages + 1,
-            ),
-        ):
-            logger.info(f'Glassdoor search page: {page}')
+        range_start = 1 + (scraper_input.offset // self.jobs_per_page)
+        tot_pages = (scraper_input.results_wanted // self.jobs_per_page) + 2
+        range_end = min(tot_pages, self.max_pages + 1)
+        for page in range(range_start, range_end):
+            logger.info(f"Glassdoor search page: {page}")
             try:
                 jobs, cursor = self._fetch_jobs_page(
                     scraper_input, location_id, location_type, page, cursor
@@ -87,7 +86,7 @@ class GlassdoorScraper(Scraper):
                     all_jobs = all_jobs[: scraper_input.results_wanted]
                     break
             except Exception as e:
-                logger.error(f'Glassdoor: {str(e)}')
+                logger.error(f"Glassdoor: {str(e)}")
                 break
         return JobResponse(jobs=all_jobs)
 
@@ -98,39 +97,48 @@ class GlassdoorScraper(Scraper):
         location_type: str,
         page_num: int,
         cursor: str | None,
-    ) -> (list[JobPost], str | None):
+    ) -> Tuple[list[JobPost], str | None]:
         """
         Scrapes a page of Glassdoor for jobs with scraper_input criteria
         """
         jobs = []
         self.scraper_input = scraper_input
         try:
-            payload = self._add_payload(
-                location_id, location_type, page_num, cursor
-            )
+            payload = self._add_payload(location_id, location_type, page_num, cursor)
             response = self.session.post(
-                f"{self.base_url}/graph", headers=self.headers, timeout_seconds=15, data=payload
+                f"{self.base_url}/graph",
+                headers=self.headers,
+                timeout_seconds=15,
+                data=payload,
             )
             if response.status_code != 200:
-                raise GlassdoorException(f"bad response status code: {response.status_code}")
+                exc_msg = f"bad response status code: {response.status_code}"
+                raise GlassdoorException(exc_msg)
             res_json = response.json()[0]
             if "errors" in res_json:
                 raise ValueError("Error encountered in API response")
-        except (requests.exceptions.ReadTimeout, GlassdoorException, ValueError, Exception) as e:
-            logger.error(f'Glassdoor: {str(e)}')
+        except (
+            requests.exceptions.ReadTimeout,
+            GlassdoorException,
+            ValueError,
+            Exception,
+        ) as e:
+            logger.error(f"Glassdoor: {str(e)}")
             return jobs, None
 
         jobs_data = res_json["data"]["jobListings"]["jobListings"]
 
         with ThreadPoolExecutor(max_workers=self.jobs_per_page) as executor:
-            future_to_job_data = {executor.submit(self._process_job, job): job for job in jobs_data}
+            future_to_job_data = {
+                executor.submit(self._process_job, job): job for job in jobs_data
+            }
             for future in as_completed(future_to_job_data):
                 try:
                     job_post = future.result()
                     if job_post:
                         jobs.append(job_post)
                 except Exception as exc:
-                    raise GlassdoorException(f'Glassdoor generated an exception: {exc}')
+                    raise GlassdoorException(f"Glassdoor generated an exception: {exc}")
 
         return jobs, self.get_cursor_for_page(
             res_json["data"]["jobListings"]["paginationCursors"], page_num + 1
@@ -140,7 +148,9 @@ class GlassdoorScraper(Scraper):
         """
         Fetches csrf token needed for API by visiting a generic page
         """
-        res = self.session.get(f'{self.base_url}/Job/computer-science-jobs.htm', headers=self.headers)
+        res = self.session.get(
+            f"{self.base_url}/Job/computer-science-jobs.htm", headers=self.headers
+        )
         pattern = r'"token":\s*"([^"]+)"'
         matches = re.findall(pattern, res.text)
         token = None
@@ -153,19 +163,20 @@ class GlassdoorScraper(Scraper):
         Processes a single job and fetches its description.
         """
         job_id = job_data["jobview"]["job"]["listingId"]
-        job_url = f'{self.base_url}job-listing/j?jl={job_id}'
+        job_url = f"{self.base_url}job-listing/j?jl={job_id}"
         if job_url in self.seen_urls:
             return None
         self.seen_urls.add(job_url)
         job = job_data["jobview"]
         title = job["job"]["jobTitleText"]
         company_name = job["header"]["employerNameFromSearch"]
-        company_id = job_data['jobview']['header']['employer']['id']
+        company_id = job_data["jobview"]["header"]["employer"]["id"]
         location_name = job["header"].get("locationName", "")
         location_type = job["header"].get("locationType", "")
         age_in_days = job["header"].get("ageInDays")
         is_remote, location = False, None
-        date_posted = (datetime.now() - timedelta(days=age_in_days)).date() if age_in_days is not None else None
+        date_diff = (datetime.now() - timedelta(days=age_in_days)).date()
+        date_posted = date_diff if age_in_days is not None else None
 
         if location_type == "S":
             is_remote = True
@@ -177,9 +188,10 @@ class GlassdoorScraper(Scraper):
             description = self._fetch_job_description(job_id)
         except:
             description = None
+        company_url = f"{self.base_url}Overview/W-EI_IE{company_id}.htm"
         return JobPost(
             title=title,
-            company_url=f"{self.base_url}Overview/W-EI_IE{company_id}.htm" if company_id else None,
+            company_url=company_url if company_id else None,
             company_name=company_name,
             date_posted=date_posted,
             job_url=job_url,
@@ -201,7 +213,7 @@ class GlassdoorScraper(Scraper):
                 "variables": {
                     "jl": job_id,
                     "queryString": "q",
-                    "pageTypeEnum": "SERP"
+                    "pageTypeEnum": "SERP",
                 },
                 "query": """
                 query JobDetailQuery($jl: Long!, $queryString: String, $pageTypeEnum: PageTypeEnum) {
@@ -216,15 +228,17 @@ class GlassdoorScraper(Scraper):
                         __typename
                     }
                 }
-                """
+                """,
             }
         ]
         res = requests.post(url, json=body, headers=self.headers)
         if res.status_code != 200:
             return None
         data = res.json()[0]
-        desc = data['data']['jobview']['job']['description']
-        return markdown_converter(desc) if self.scraper_input.description_format == DescriptionFormat.MARKDOWN else desc
+        desc = data["data"]["jobview"]["job"]["description"]
+        if self.scraper_input.description_format == DescriptionFormat.MARKDOWN:
+            desc = markdown_converter(desc)
+        return desc
 
     def _get_location(self, location: str, is_remote: bool) -> (int, str):
         if not location or is_remote:
@@ -234,10 +248,13 @@ class GlassdoorScraper(Scraper):
         res = self.session.get(url, headers=self.headers)
         if res.status_code != 200:
             if res.status_code == 429:
-                logger.error(f'429 Response - Blocked by Glassdoor for too many requests')
+                err = f"429 Response - Blocked by Glassdoor for too many requests"
+                logger.error(err)
                 return None, None
             else:
-                logger.error(f'Glassdoor response status code {res.status_code}')
+                err = f"Glassdoor response status code {res.status_code}"
+                err += f" - {res.text}"
+                logger.error(f"Glassdoor response status code {res.status_code}")
                 return None, None
         items = res.json()
 
@@ -248,7 +265,7 @@ class GlassdoorScraper(Scraper):
             location_type = "CITY"
         elif location_type == "S":
             location_type = "STATE"
-        elif location_type == 'N':
+        elif location_type == "N":
             location_type = "COUNTRY"
         return int(items[0]["locationId"]), location_type
 
@@ -259,7 +276,9 @@ class GlassdoorScraper(Scraper):
         page_num: int,
         cursor: str | None = None,
     ) -> str:
-        fromage = max(self.scraper_input.hours_old // 24, 1) if self.scraper_input.hours_old else None
+        fromage = None
+        if self.scraper_input.hours_old:
+            fromage = max(self.scraper_input.hours_old // 24, 1)
         filter_params = []
         if self.scraper_input.easy_apply:
             filter_params.append({"filterKey": "applicationType", "values": "1"})
@@ -278,9 +297,9 @@ class GlassdoorScraper(Scraper):
                 "pageNumber": page_num,
                 "pageCursor": cursor,
                 "fromage": fromage,
-                "sort": "date"
+                "sort": "date",
             },
-            "query": self.query_template
+            "query": self.query_template,
         }
         if self.scraper_input.job_type:
             payload["variables"]["filterParams"].append(

src/jobspy/scrapers/indeed/__init__.py

@@ -4,9 +4,13 @@ jobspy.scrapers.indeed
 
 This module contains routines to scrape Indeed.
 """
+
+from __future__ import annotations
+
 import math
-from concurrent.futures import ThreadPoolExecutor, Future
+from typing import Tuple
 from datetime import datetime
+from concurrent.futures import ThreadPoolExecutor, Future
 
 import requests
 
@@ -15,7 +19,7 @@ from ..utils import (
     extract_emails_from_text,
     get_enum_from_job_type,
     markdown_converter,
-    logger
+    logger,
 )
 from ...jobs import (
     JobPost,
@@ -24,7 +28,7 @@ from ...jobs import (
     Location,
     JobResponse,
     JobType,
-    DescriptionFormat
+    DescriptionFormat,
 )
 
 
@@ -54,30 +58,30 @@ class IndeedScraper(Scraper):
         domain, self.api_country_code = self.scraper_input.country.indeed_domain_value
         self.base_url = f"https://{domain}.indeed.com"
         self.headers = self.api_headers.copy()
-        self.headers['indeed-co'] = self.scraper_input.country.indeed_domain_value
+        self.headers["indeed-co"] = self.scraper_input.country.indeed_domain_value
         job_list = []
         page = 1
 
         cursor = None
         offset_pages = math.ceil(self.scraper_input.offset / 100)
         for _ in range(offset_pages):
-            logger.info(f'Indeed skipping search page: {page}')
+            logger.info(f"Indeed skipping search page: {page}")
             __, cursor = self._scrape_page(cursor)
             if not __:
-                logger.info(f'Indeed found no jobs on page: {page}')
+                logger.info(f"Indeed found no jobs on page: {page}")
                 break
 
         while len(self.seen_urls) < scraper_input.results_wanted:
-            logger.info(f'Indeed search page: {page}')
+            logger.info(f"Indeed search page: {page}")
             jobs, cursor = self._scrape_page(cursor)
             if not jobs:
-                logger.info(f'Indeed found no jobs on page: {page}')
+                logger.info(f"Indeed found no jobs on page: {page}")
                 break
             job_list += jobs
             page += 1
-        return JobResponse(jobs=job_list[:scraper_input.results_wanted])
+        return JobResponse(jobs=job_list[: scraper_input.results_wanted])
 
-    def _scrape_page(self, cursor: str | None) -> (list[JobPost], str | None):
+    def _scrape_page(self, cursor: str | None) -> Tuple[list[JobPost], str | None]:
         """
         Scrapes a page of Indeed for jobs with scraper_input criteria
         :param cursor:
@@ -86,31 +90,47 @@ class IndeedScraper(Scraper):
         jobs = []
         new_cursor = None
         filters = self._build_filters()
+        search_term = self.scraper_input.search_term.replace('"', '\\"') if self.scraper_input.search_term else ""
         query = self.job_search_query.format(
-            what=self.scraper_input.search_term,
-            location=self.scraper_input.location if self.scraper_input.location else self.scraper_input.country.value[0].split(',')[-1],
-            radius=self.scraper_input.distance,
+            what=(
+                f'what: "{search_term}"'
+                if search_term
+                else ""
+            ),
+            location=(
+                f'location: {{where: "{self.scraper_input.location}", radius: {self.scraper_input.distance}, radiusUnit: MILES}}'
+                if self.scraper_input.location
+                else ""
+            ),
             dateOnIndeed=self.scraper_input.hours_old,
-            cursor=f'cursor: "{cursor}"' if cursor else '',
-            filters=filters
+            cursor=f'cursor: "{cursor}"' if cursor else "",
+            filters=filters,
         )
         payload = {
-            'query': query,
+            "query": query,
         }
         api_headers = self.api_headers.copy()
-        api_headers['indeed-co'] = self.api_country_code
-        response = requests.post(self.api_url, headers=api_headers, json=payload, proxies=self.proxy, timeout=10)
+        api_headers["indeed-co"] = self.api_country_code
+        response = requests.post(
+            self.api_url,
+            headers=api_headers,
+            json=payload,
+            proxies=self.proxy,
+            timeout=10,
+        )
         if response.status_code != 200:
-            logger.info(f'Indeed responded with status code: {response.status_code} (submit GitHub issue if this appears to be a beg)')
+            logger.info(
+                f"Indeed responded with status code: {response.status_code} (submit GitHub issue if this appears to be a bug)"
+            )
             return jobs, new_cursor
         data = response.json()
-        jobs = data['data']['jobSearch']['results']
-        new_cursor = data['data']['jobSearch']['pageInfo']['nextCursor']
+        jobs = data["data"]["jobSearch"]["results"]
+        new_cursor = data["data"]["jobSearch"]["pageInfo"]["nextCursor"]
 
         with ThreadPoolExecutor(max_workers=self.num_workers) as executor:
             job_results: list[Future] = [
-                executor.submit(self._process_job, job['job']) for job in jobs
-           ]
+                executor.submit(self._process_job, job["job"]) for job in jobs
+            ]
         job_list = [result.result() for result in job_results if result.result()]
         return job_list, new_cursor
 
@@ -128,7 +148,18 @@ class IndeedScraper(Scraper):
                   start: "{start}h"
                 }}
             }}
-            """.format(start=self.scraper_input.hours_old)
+            """.format(
+                start=self.scraper_input.hours_old
+            )
+        elif self.scraper_input.easy_apply:
+            filters_str = """
+            filters: {
+                keyword: {
+                  field: "indeedApplyScope",
+                  keys: ["DESKTOP"]
+                }
+            }
+            """
         elif self.scraper_input.job_type or self.scraper_input.is_remote:
             job_type_key_mapping = {
                 JobType.FULL_TIME: "CF3CP",
@@ -171,22 +202,24 @@ class IndeedScraper(Scraper):
         if job_url in self.seen_urls:
             return
         self.seen_urls.add(job_url)
-        description = job['description']['html']
-        description = markdown_converter(description) if self.scraper_input.description_format == DescriptionFormat.MARKDOWN else description
+        description = job["description"]["html"]
+        if self.scraper_input.description_format == DescriptionFormat.MARKDOWN:
+            description = markdown_converter(description)
 
-        job_type = self._get_job_type(job['attributes'])
+        job_type = self._get_job_type(job["attributes"])
         timestamp_seconds = job["datePublished"] / 1000
         date_posted = datetime.fromtimestamp(timestamp_seconds).strftime("%Y-%m-%d")
-        employer = job['employer'].get('dossier') if job['employer'] else None
-        employer_details = employer.get('employerDetails', {}) if employer else {}
+        employer = job["employer"].get("dossier") if job["employer"] else None
+        employer_details = employer.get("employerDetails", {}) if employer else {}
+        rel_url = job["employer"]["relativeCompanyPageUrl"] if job["employer"] else None
         return JobPost(
             title=job["title"],
             description=description,
-            company_name=job['employer'].get("name") if job.get('employer') else None,
-            company_url=f"{self.base_url}{job['employer']['relativeCompanyPageUrl']}" if job[
-                'employer'] else None,
-            company_url_direct=employer['links']['corporateWebsite'] if employer else None,
-
+            company_name=job["employer"].get("name") if job.get("employer") else None,
+            company_url=(f"{self.base_url}{rel_url}" if job["employer"] else None),
+            company_url_direct=(
+                employer["links"]["corporateWebsite"] if employer else None
+            ),
             location=Location(
                 city=job.get("location", {}).get("city"),
                 state=job.get("location", {}).get("admin1Code"),
@@ -196,20 +229,39 @@ class IndeedScraper(Scraper):
             compensation=self._get_compensation(job),
             date_posted=date_posted,
             job_url=job_url,
-            job_url_direct=job['recruit'].get('viewJobUrl') if job.get('recruit') else None,
+            job_url_direct=(
+                job["recruit"].get("viewJobUrl") if job.get("recruit") else None
+            ),
             emails=extract_emails_from_text(description) if description else None,
             is_remote=self._is_job_remote(job, description),
-
-            company_addresses=employer_details['addresses'][0] if employer_details.get('addresses') else None,
-            company_industry=employer_details['industry'].replace('Iv1', '').replace('_', ' ').title() if employer_details.get('industry') else None,
-            company_num_employees=employer_details.get('employeesLocalizedLabel'),
-            company_revenue=employer_details.get('revenueLocalizedLabel'),
-            company_description=employer_details.get('briefDescription'),
-            ceo_name=employer_details.get('ceoName'),
-            ceo_photo_url=employer_details.get('ceoPhotoUrl'),
-
-            logo_photo_url=employer['images'].get('squareLogoUrl') if employer and employer.get('images') else None,
-            banner_photo_url=employer['images'].get('headerImageUrl') if employer and employer.get('images') else None,
+            company_addresses=(
+                employer_details["addresses"][0]
+                if employer_details.get("addresses")
+                else None
+            ),
+            company_industry=(
+                employer_details["industry"]
+                .replace("Iv1", "")
+                .replace("_", " ")
+                .title()
+                if employer_details.get("industry")
+                else None
+            ),
+            company_num_employees=employer_details.get("employeesLocalizedLabel"),
+            company_revenue=employer_details.get("revenueLocalizedLabel"),
+            company_description=employer_details.get("briefDescription"),
+            ceo_name=employer_details.get("ceoName"),
+            ceo_photo_url=employer_details.get("ceoPhotoUrl"),
+            logo_photo_url=(
+                employer["images"].get("squareLogoUrl")
+                if employer and employer.get("images")
+                else None
+            ),
+            banner_photo_url=(
+                employer["images"].get("headerImageUrl")
+                if employer and employer.get("images")
+                else None
+            ),
         )
 
     @staticmethod
@@ -221,7 +273,7 @@ class IndeedScraper(Scraper):
         """
         job_types: list[JobType] = []
         for attribute in attributes:
-            job_type_str = attribute['label'].replace("-", "").replace(" ", "").lower()
+            job_type_str = attribute["label"].replace("-", "").replace(" ", "").lower()
             job_type = get_enum_from_job_type(job_type_str)
             if job_type:
                 job_types.append(job_type)
@@ -235,33 +287,41 @@ class IndeedScraper(Scraper):
         :param job:
         :return: compensation object
         """
-        comp = job['compensation']['baseSalary']
-        if comp:
-            interval = IndeedScraper._get_compensation_interval(comp['unitOfWork'])
-            if interval:
-                return Compensation(
-                    interval=interval,
-                    min_amount=round(comp['range'].get('min'), 2) if comp['range'].get('min') is not None else None,
-                    max_amount=round(comp['range'].get('max'), 2) if comp['range'].get('max') is not None else None,
-                    currency=job['compensation']['currencyCode']
-                )
+        comp = job["compensation"]["baseSalary"]
+        if not comp:
+            return None
+        interval = IndeedScraper._get_compensation_interval(comp["unitOfWork"])
+        if not interval:
+            return None
+        min_range = comp["range"].get("min")
+        max_range = comp["range"].get("max")
+        return Compensation(
+            interval=interval,
+            min_amount=round(min_range, 2) if min_range is not None else None,
+            max_amount=round(max_range, 2) if max_range is not None else None,
+            currency=job["compensation"]["currencyCode"],
+        )
 
     @staticmethod
     def _is_job_remote(job: dict, description: str) -> bool:
         """
         Searches the description, location, and attributes to check if job is remote
         """
-        remote_keywords = ['remote', 'work from home', 'wfh']
+        remote_keywords = ["remote", "work from home", "wfh"]
         is_remote_in_attributes = any(
-            any(keyword in attr['label'].lower() for keyword in remote_keywords)
-            for attr in job['attributes']
+            any(keyword in attr["label"].lower() for keyword in remote_keywords)
+            for attr in job["attributes"]
+        )
+        is_remote_in_description = any(
+            keyword in description.lower() for keyword in remote_keywords
         )
-        is_remote_in_description = any(keyword in description.lower() for keyword in remote_keywords)
         is_remote_in_location = any(
-            keyword in job['location']['formatted']['long'].lower()
+            keyword in job["location"]["formatted"]["long"].lower()
             for keyword in remote_keywords
         )
-        return is_remote_in_attributes or is_remote_in_description or is_remote_in_location
+        return (
+            is_remote_in_attributes or is_remote_in_description or is_remote_in_location
+        )
 
     @staticmethod
     def _get_compensation_interval(interval: str) -> CompensationInterval:
@@ -270,7 +330,7 @@ class IndeedScraper(Scraper):
             "YEAR": "YEARLY",
             "HOUR": "HOURLY",
             "WEEK": "WEEKLY",
-            "MONTH": "MONTHLY"
+            "MONTH": "MONTHLY",
         }
         mapped_interval = interval_mapping.get(interval.upper(), None)
         if mapped_interval and mapped_interval in CompensationInterval.__members__:
@@ -279,20 +339,20 @@ class IndeedScraper(Scraper):
             raise ValueError(f"Unsupported interval: {interval}")
 
     api_headers = {
-        'Host': 'apis.indeed.com',
-        'content-type': 'application/json',
-        'indeed-api-key': '161092c2017b5bbab13edb12461a62d5a833871e7cad6d9d475304573de67ac8',
-        'accept': 'application/json',
-        'indeed-locale': 'en-US',
-        'accept-language': 'en-US,en;q=0.9',
-        'user-agent': 'Mozilla/5.0 (iPhone; CPU iPhone OS 16_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 Indeed App 193.1',
-        'indeed-app-info': 'appv=193.1; appid=com.indeed.jobsearch; osv=16.6.1; os=ios; dtype=phone',
+        "Host": "apis.indeed.com",
+        "content-type": "application/json",
+        "indeed-api-key": "161092c2017b5bbab13edb12461a62d5a833871e7cad6d9d475304573de67ac8",
+        "accept": "application/json",
+        "indeed-locale": "en-US",
+        "accept-language": "en-US,en;q=0.9",
+        "user-agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 16_6_1 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Mobile/15E148 Indeed App 193.1",
+        "indeed-app-info": "appv=193.1; appid=com.indeed.jobsearch; osv=16.6.1; os=ios; dtype=phone",
     }
     job_search_query = """
         query GetJobData {{
           jobSearch(
-            what: "{what}"
-            location: {{ where: "{location}", radius: {radius}, radiusUnit: MILES }}
+            {what}
+            {location}
             includeSponsoredResults: NONE
             limit: 100
             sort: DATE

src/jobspy/scrapers/linkedin/__init__.py

@@ -4,8 +4,13 @@ jobspy.scrapers.linkedin
 
 This module contains routines to scrape LinkedIn.
 """
+
+from __future__ import annotations
+
 import time
 import random
+import regex as re
+import urllib.parse
 from typing import Optional
 from datetime import datetime
 
@@ -24,14 +29,14 @@ from ...jobs import (
     JobType,
     Country,
     Compensation,
-    DescriptionFormat
+    DescriptionFormat,
 )
 from ..utils import (
     logger,
     extract_emails_from_text,
     get_enum_from_job_type,
     currency_parser,
-    markdown_converter
+    markdown_converter,
 )
 
 
@@ -48,6 +53,7 @@ class LinkedInScraper(Scraper):
         super().__init__(Site(Site.LINKEDIN), proxy=proxy)
         self.scraper_input = None
         self.country = "worldwide"
+        self.job_url_direct_regex = re.compile(r'(?<=\?url=)[^"]+')
 
     def scrape(self, scraper_input: ScraperInput) -> JobResponse:
         """
@@ -61,26 +67,32 @@ class LinkedInScraper(Scraper):
         url_lock = Lock()
         page = scraper_input.offset // 25 + 25 if scraper_input.offset else 0
         seconds_old = (
-            scraper_input.hours_old * 3600
-            if scraper_input.hours_old
-            else None
+            scraper_input.hours_old * 3600 if scraper_input.hours_old else None
+        )
+        continue_search = (
+            lambda: len(job_list) < scraper_input.results_wanted and page < 1000
         )
-        continue_search = lambda: len(job_list) < scraper_input.results_wanted and page < 1000
         while continue_search():
-            logger.info(f'LinkedIn search page: {page // 25 + 1}')
+            logger.info(f"LinkedIn search page: {page // 25 + 1}")
             session = create_session(is_tls=False, has_retry=True, delay=5)
             params = {
                 "keywords": scraper_input.search_term,
                 "location": scraper_input.location,
                 "distance": scraper_input.distance,
                 "f_WT": 2 if scraper_input.is_remote else None,
-                "f_JT": self.job_type_code(scraper_input.job_type)
-                if scraper_input.job_type
-                else None,
+                "f_JT": (
+                    self.job_type_code(scraper_input.job_type)
+                    if scraper_input.job_type
+                    else None
+                ),
                 "pageNum": 0,
                 "start": page + scraper_input.offset,
                 "f_AL": "true" if scraper_input.easy_apply else None,
-                "f_C": ','.join(map(str, scraper_input.linkedin_company_ids)) if scraper_input.linkedin_company_ids else None,
+                "f_C": (
+                    ",".join(map(str, scraper_input.linkedin_company_ids))
+                    if scraper_input.linkedin_company_ids
+                    else None
+                ),
             }
             if seconds_old is not None:
                 params["f_TPR"] = f"r{seconds_old}"
@@ -97,15 +109,19 @@ class LinkedInScraper(Scraper):
                 )
                 if response.status_code not in range(200, 400):
                     if response.status_code == 429:
-                        logger.error(f'429 Response - Blocked by LinkedIn for too many requests')
+                        err = (
+                            f"429 Response - Blocked by LinkedIn for too many requests"
+                        )
                     else:
-                        logger.error(f'LinkedIn response status code {response.status_code}')
+                        err = f"LinkedIn response status code {response.status_code}"
+                        err += f" - {response.text}"
+                    logger.error(err)
                     return JobResponse(jobs=job_list)
             except Exception as e:
                 if "Proxy responded with" in str(e):
-                    logger.error(f'LinkedIn: Bad proxy')
+                    logger.error(f"LinkedIn: Bad proxy")
                 else:
-                    logger.error(f'LinkedIn: {str(e)}')
+                    logger.error(f"LinkedIn: {str(e)}")
                 return JobResponse(jobs=job_list)
 
             soup = BeautifulSoup(response.text, "html.parser")
@@ -126,11 +142,12 @@ class LinkedInScraper(Scraper):
                         continue
                     seen_urls.add(job_url)
                 try:
-                    job_post = self._process_job(job_card, job_url, scraper_input.linkedin_fetch_description)
+                    fetch_desc = scraper_input.linkedin_fetch_description
+                    job_post = self._process_job(job_card, job_url, fetch_desc)
                     if job_post:
                         job_list.append(job_post)
                     if not continue_search():
-                       break
+                        break
                 except Exception as e:
                     raise LinkedInException(str(e))
 
@@ -141,8 +158,10 @@ class LinkedInScraper(Scraper):
         job_list = job_list[: scraper_input.results_wanted]
         return JobResponse(jobs=job_list)
 
-    def _process_job(self, job_card: Tag, job_url: str, full_descr: bool) -> Optional[JobPost]:
-        salary_tag = job_card.find('span', class_='job-search-card__salary-info')
+    def _process_job(
+        self, job_card: Tag, job_url: str, full_descr: bool
+    ) -> Optional[JobPost]:
+        salary_tag = job_card.find("span", class_="job-search-card__salary-info")
 
         compensation = None
         if salary_tag:
@@ -178,16 +197,16 @@ class LinkedInScraper(Scraper):
             if metadata_card
             else None
         )
-        date_posted = description = job_type = None
+        date_posted = None
         if datetime_tag and "datetime" in datetime_tag.attrs:
             datetime_str = datetime_tag["datetime"]
             try:
                 date_posted = datetime.strptime(datetime_str, "%Y-%m-%d")
             except:
                 date_posted = None
-        benefits_tag = job_card.find("span", class_="result-benefits__text")
+        job_details = {}
         if full_descr:
-            description, job_type = self._get_job_description(job_url)
+            job_details = self._get_job_details(job_url)
 
         return JobPost(
             title=title,
@@ -197,27 +216,29 @@ class LinkedInScraper(Scraper):
             date_posted=date_posted,
             job_url=job_url,
             compensation=compensation,
-            job_type=job_type,
-            description=description,
-            emails=extract_emails_from_text(description) if description else None,
+            job_type=job_details.get("job_type"),
+            description=job_details.get("description"),
+            job_url_direct=job_details.get("job_url_direct"),
+            emails=extract_emails_from_text(job_details.get("description")),
+            logo_photo_url=job_details.get("logo_photo_url"),
         )
 
-    def _get_job_description(
-        self, job_page_url: str
-    ) -> tuple[None, None] | tuple[str | None, tuple[str | None, JobType | None]]:
+    def _get_job_details(self, job_page_url: str) -> dict:
         """
-        Retrieves job description by going to the job page url
+        Retrieves job description and other job details by going to the job page url
         :param job_page_url:
-        :return: description or None
+        :return: dict
         """
         try:
             session = create_session(is_tls=False, has_retry=True)
-            response = session.get(job_page_url, headers=self.headers, timeout=5, proxies=self.proxy)
+            response = session.get(
+                job_page_url, headers=self.headers, timeout=5, proxies=self.proxy
+            )
             response.raise_for_status()
         except:
-            return None, None
+            return {}
         if response.url == "https://www.linkedin.com/signup":
-            return None, None
+            return {}
 
         soup = BeautifulSoup(response.text, "html.parser")
         div_content = soup.find(
@@ -225,15 +246,24 @@ class LinkedInScraper(Scraper):
         )
         description = None
         if div_content is not None:
+
             def remove_attributes(tag):
                 for attr in list(tag.attrs):
                     del tag[attr]
                 return tag
+
             div_content = remove_attributes(div_content)
             description = div_content.prettify(formatter="html")
             if self.scraper_input.description_format == DescriptionFormat.MARKDOWN:
                 description = markdown_converter(description)
-        return description, self._parse_job_type(soup)
+        return {
+            "description": description,
+            "job_type": self._parse_job_type(soup),
+            "job_url_direct": self._parse_job_url_direct(soup),
+            "logo_photo_url": soup.find("img", {"class": "artdeco-entity-image"}).get(
+                "data-delayed-url"
+            ),
+        }
 
     def _get_location(self, metadata_card: Optional[Tag]) -> Location:
         """
@@ -257,11 +287,8 @@ class LinkedInScraper(Scraper):
                 )
             elif len(parts) == 3:
                 city, state, country = parts
-                location = Location(
-                    city=city,
-                    state=state,
-                    country=Country.from_string(country)
-                )
+                country = Country.from_string(country)
+                location = Location(city=city, state=state, country=country)
         return location
 
     @staticmethod
@@ -289,6 +316,23 @@ class LinkedInScraper(Scraper):
 
         return [get_enum_from_job_type(employment_type)] if employment_type else []
 
+    def _parse_job_url_direct(self, soup: BeautifulSoup) -> str | None:
+        """
+        Gets the job url direct from job page
+        :param soup:
+        :return: str
+        """
+        job_url_direct = None
+        job_url_direct_content = soup.find("code", id="applyUrl")
+        if job_url_direct_content:
+            job_url_direct_match = self.job_url_direct_regex.search(
+                job_url_direct_content.decode_contents().strip()
+            )
+            if job_url_direct_match:
+                job_url_direct = urllib.parse.unquote(job_url_direct_match.group())
+
+        return job_url_direct
+
     @staticmethod
     def job_type_code(job_type_enum: JobType) -> str:
         return {

src/jobspy/scrapers/utils.py

@@ -1,9 +1,10 @@
-import logging
-import re
+from __future__ import annotations
 
-import numpy as np
+import re
+import logging
 import requests
 import tls_client
+import numpy as np
 from markdownify import markdownify as md
 from requests.adapters import HTTPAdapter, Retry
 
@@ -14,11 +15,29 @@ logger.propagate = False
 if not logger.handlers:
     logger.setLevel(logging.INFO)
     console_handler = logging.StreamHandler()
-    formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+    format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+    formatter = logging.Formatter(format)
     console_handler.setFormatter(formatter)
     logger.addHandler(console_handler)
 
 
+def set_logger_level(verbose: int = 2):
+    """
+    Adjusts the logger's level. This function allows the logging level to be changed at runtime.
+
+    Parameters:
+    - verbose: int {0, 1, 2} (default=2, all logs)
+    """
+    if verbose is None:
+        return
+    level_name = {2: "INFO", 1: "WARNING", 0: "ERROR"}.get(verbose, "INFO")
+    level = getattr(logging, level_name.upper(), None)
+    if level is not None:
+        logger.setLevel(level)
+    else:
+        raise ValueError(f"Invalid log level: {level_name}")
+
+
 def markdown_converter(description_html: str):
     if description_html is None:
         return None
@@ -33,7 +52,12 @@ def extract_emails_from_text(text: str) -> list[str] | None:
     return email_regex.findall(text)
 
 
-def create_session(proxy: dict | None = None, is_tls: bool = True, has_retry: bool = False, delay: int = 1) -> requests.Session:
+def create_session(
+    proxy: dict | None = None,
+    is_tls: bool = True,
+    has_retry: bool = False,
+    delay: int = 1,
+) -> requests.Session:
     """
     Creates a requests session with optional tls, proxy, and retry settings.
     :return: A session object
@@ -47,15 +71,17 @@ def create_session(proxy: dict | None = None, is_tls: bool = True, has_retry: bo
         if proxy:
             session.proxies.update(proxy)
         if has_retry:
-            retries = Retry(total=3,
-                            connect=3,
-                            status=3,
-                            status_forcelist=[500, 502, 503, 504, 429],
-                            backoff_factor=delay)
+            retries = Retry(
+                total=3,
+                connect=3,
+                status=3,
+                status_forcelist=[500, 502, 503, 504, 429],
+                backoff_factor=delay,
+            )
             adapter = HTTPAdapter(max_retries=retries)
 
-            session.mount('http://', adapter)
-            session.mount('https://', adapter)
+            session.mount("http://", adapter)
+            session.mount("https://", adapter)
     return session
 
 
@@ -73,17 +99,15 @@ def get_enum_from_job_type(job_type_str: str) -> JobType | None:
 def currency_parser(cur_str):
     # Remove any non-numerical characters
     # except for ',' '.' or '-' (e.g. EUR)
-    cur_str = re.sub("[^-0-9.,]", '', cur_str)
+    cur_str = re.sub("[^-0-9.,]", "", cur_str)
     # Remove any 000s separators (either , or .)
-    cur_str = re.sub("[.,]", '', cur_str[:-3]) + cur_str[-3:]
+    cur_str = re.sub("[.,]", "", cur_str[:-3]) + cur_str[-3:]
 
-    if '.' in list(cur_str[-3:]):
+    if "." in list(cur_str[-3:]):
         num = float(cur_str)
-    elif ',' in list(cur_str[-3:]):
-        num = float(cur_str.replace(',', '.'))
+    elif "," in list(cur_str[-3:]):
+        num = float(cur_str.replace(",", "."))
     else:
         num = float(cur_str)
 
     return np.round(num, 2)
-
-

src/jobspy/scrapers/ziprecruiter/__init__.py

@@ -4,6 +4,9 @@ jobspy.scrapers.ziprecruiter
 
 This module contains routines to scrape ZipRecruiter.
 """
+
+from __future__ import annotations
+
 import math
 import time
 from datetime import datetime
@@ -16,7 +19,7 @@ from ..utils import (
     logger,
     extract_emails_from_text,
     create_session,
-    markdown_converter
+    markdown_converter,
 )
 from ...jobs import (
     JobPost,
@@ -25,7 +28,7 @@ from ...jobs import (
     JobResponse,
     JobType,
     Country,
-    DescriptionFormat
+    DescriptionFormat,
 )
 
 
@@ -62,7 +65,7 @@ class ZipRecruiterScraper(Scraper):
                 break
             if page > 1:
                 time.sleep(self.delay)
-            logger.info(f'ZipRecruiter search page: {page}')
+            logger.info(f"ZipRecruiter search page: {page}")
             jobs_on_page, continue_token = self._find_jobs_in_page(
                 scraper_input, continue_token
             )
@@ -88,25 +91,24 @@ class ZipRecruiterScraper(Scraper):
         if continue_token:
             params["continue_from"] = continue_token
         try:
-            res= self.session.get(
-                f"{self.api_url}/jobs-app/jobs",
-                headers=self.headers,
-                params=params
+            res = self.session.get(
+                f"{self.api_url}/jobs-app/jobs", headers=self.headers, params=params
             )
             if res.status_code not in range(200, 400):
                 if res.status_code == 429:
-                    logger.error(f'429 Response - Blocked by ZipRecruiter for too many requests')
+                    err = "429 Response - Blocked by ZipRecruiter for too many requests"
                 else:
-                    logger.error(f'ZipRecruiter response status code {res.status_code}')
+                    err = f"ZipRecruiter response status code {res.status_code}"
+                    err += f" with response: {res.text}"  # ZipRecruiter likely not available in EU
+                logger.error(err)
                 return jobs_list, ""
         except Exception as e:
             if "Proxy responded with" in str(e):
-                logger.error(f'Indeed: Bad proxy')
+                logger.error(f"Indeed: Bad proxy")
             else:
-                logger.error(f'Indeed: {str(e)}')
+                logger.error(f"Indeed: {str(e)}")
             return jobs_list, ""
 
-
         res_data = res.json()
         jobs_list = res_data.get("jobs", [])
         next_continue_token = res_data.get("continue", None)
@@ -127,7 +129,11 @@ class ZipRecruiterScraper(Scraper):
         self.seen_urls.add(job_url)
 
         description = job.get("job_description", "").strip()
-        description = markdown_converter(description) if self.scraper_input.description_format == DescriptionFormat.MARKDOWN else description
+        description = (
+            markdown_converter(description)
+            if self.scraper_input.description_format == DescriptionFormat.MARKDOWN
+            else description
+        )
         company = job.get("hiring_company", {}).get("name")
         country_value = "usa" if job.get("job_country") == "US" else "canada"
         country_enum = Country.from_string(country_value)
@@ -138,23 +144,22 @@ class ZipRecruiterScraper(Scraper):
         job_type = self._get_job_type_enum(
             job.get("employment_type", "").replace("_", "").lower()
         )
-        date_posted = datetime.fromisoformat(job['posted_time'].rstrip("Z")).date()
+        date_posted = datetime.fromisoformat(job["posted_time"].rstrip("Z")).date()
+        comp_interval = job.get("compensation_interval")
+        comp_interval = "yearly" if comp_interval == "annual" else comp_interval
+        comp_min = int(job["compensation_min"]) if "compensation_min" in job else None
+        comp_max = int(job["compensation_max"]) if "compensation_max" in job else None
+        comp_currency = job.get("compensation_currency")
         return JobPost(
             title=title,
             company_name=company,
             location=location,
             job_type=job_type,
             compensation=Compensation(
-                interval="yearly"
-                if job.get("compensation_interval") == "annual"
-                else job.get("compensation_interval"),
-                min_amount=int(job["compensation_min"])
-                if "compensation_min" in job
-                else None,
-                max_amount=int(job["compensation_max"])
-                if "compensation_max" in job
-                else None,
-                currency=job.get("compensation_currency"),
+                interval=comp_interval,
+                min_amount=comp_min,
+                max_amount=comp_max,
+                currency=comp_currency,
             ),
             date_posted=date_posted,
             job_url=job_url,
@@ -163,8 +168,9 @@ class ZipRecruiterScraper(Scraper):
         )
 
     def _get_cookies(self):
-        data="event_type=session&logged_in=false&number_of_retry=1&property=model%3AiPhone&property=os%3AiOS&property=locale%3Aen_us&property=app_build_number%3A4734&property=app_version%3A91.0&property=manufacturer%3AApple&property=timestamp%3A2024-01-12T12%3A04%3A42-06%3A00&property=screen_height%3A852&property=os_version%3A16.6.1&property=source%3Ainstall&property=screen_width%3A393&property=device_model%3AiPhone%2014%20Pro&property=brand%3AApple"
-        self.session.post(f"{self.api_url}/jobs-app/event", data=data, headers=self.headers)
+        data = "event_type=session&logged_in=false&number_of_retry=1&property=model%3AiPhone&property=os%3AiOS&property=locale%3Aen_us&property=app_build_number%3A4734&property=app_version%3A91.0&property=manufacturer%3AApple&property=timestamp%3A2024-01-12T12%3A04%3A42-06%3A00&property=screen_height%3A852&property=os_version%3A16.6.1&property=source%3Ainstall&property=screen_width%3A393&property=device_model%3AiPhone%2014%20Pro&property=brand%3AApple"
+        url = f"{self.api_url}/jobs-app/event"
+        self.session.post(url, data=data, headers=self.headers)
 
     @staticmethod
     def _get_job_type_enum(job_type_str: str) -> list[JobType] | None:
@@ -180,16 +186,13 @@ class ZipRecruiterScraper(Scraper):
             "location": scraper_input.location,
         }
         if scraper_input.hours_old:
-            fromage = max(scraper_input.hours_old // 24, 1) if scraper_input.hours_old else None
-            params['days'] = fromage
-        job_type_map = {
-            JobType.FULL_TIME: 'full_time',
-            JobType.PART_TIME: 'part_time'
-        }
+            params["days"] = max(scraper_input.hours_old // 24, 1)
+        job_type_map = {JobType.FULL_TIME: "full_time", JobType.PART_TIME: "part_time"}
         if scraper_input.job_type:
-            params['employment_type'] = job_type_map[scraper_input.job_type] if scraper_input.job_type in job_type_map else scraper_input.job_type.value[0]
+            job_type = scraper_input.job_type
+            params["employment_type"] = job_type_map.get(job_type, job_type.value[0])
         if scraper_input.easy_apply:
-            params['zipapply'] = 1
+            params["zipapply"] = 1
         if scraper_input.is_remote:
             params["remote"] = 1
         if scraper_input.distance: