fix: job type param bug

* add proxy support

* return as data frame

JobSpy_Demo.ipynb

@@ -9,7 +9,7 @@
    "source": [
     "from jobspy import scrape_jobs\n",
     "import pandas as pd\n",
-    "from IPython.display import display, HTML\n"
+    "from IPython.display import display, HTML"
    ]
   },
   {
@@ -33,15 +33,18 @@
    "outputs": [],
    "source": [
     "# example 1 (no hyperlinks, USA)\n",
-    "result = scrape_jobs(\n",
-    "    site_name=[\"linkedin\", \"zip_recruiter\"],\n",
+    "jobs = scrape_jobs(\n",
+    "    site_name=[\"linkedin\"],\n",
     "    location='san francisco',\n",
     "    search_term=\"engineer\",\n",
     "    results_wanted=5,\n",
-    ")\n",
     "\n",
-    "display(result.jobs)\n",
-    "display(result.errors)"
+    "    # use if you want to use a proxy\n",
+    "    # proxy=\"socks5://jobspy:5a4vpWtj4EeJ2hoYzk@us.smartproxy.com:10001\",\n",
+    "    proxy=\"http://jobspy:5a4vpWtj4EeJ2hoYzk@us.smartproxy.com:10001\",\n",
+    "    #proxy=\"https://jobspy:5a4vpWtj4EeJ2hoYzk@us.smartproxy.com:10001\",\n",
+    ")\n",
+    "display(jobs)"
    ]
   },
   {
@@ -52,7 +55,7 @@
    "outputs": [],
    "source": [
     "# example 2 - remote USA & hyperlinks\n",
-    "result = scrape_jobs(\n",
+    "jobs = scrape_jobs(\n",
     "    site_name=[\"linkedin\", \"zip_recruiter\", \"indeed\"],\n",
     "    # location='san francisco',\n",
     "    search_term=\"software engineer\",\n",
@@ -71,11 +74,10 @@
    "outputs": [],
    "source": [
     "# use if hyperlinks=True\n",
-    "html = result.jobs.to_html(escape=False)\n",
+    "html = jobs.to_html(escape=False)\n",
     "# change max-width: 200px to show more or less of the content\n",
     "truncate_width = f'<style>.dataframe td {{ max-width: 200px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }}</style>{html}'\n",
-    "display(HTML(truncate_width))\n",
-    "display(result.errors)"
+    "display(HTML(truncate_width))"
    ]
   },
   {
@@ -86,7 +88,7 @@
    "outputs": [],
    "source": [
     "# example 3 - with hyperlinks, international - linkedin (no zip_recruiter)\n",
-    "result = scrape_jobs(\n",
+    "jobs = scrape_jobs(\n",
     "    site_name=[\"linkedin\"],\n",
     "    location='berlin',\n",
     "    search_term=\"engineer\",\n",
@@ -104,11 +106,10 @@
    "outputs": [],
    "source": [
     "# use if hyperlinks=True\n",
-    "html = result.jobs.to_html(escape=False)\n",
+    "html = jobs.to_html(escape=False)\n",
     "# change max-width: 200px to show more or less of the content\n",
     "truncate_width = f'<style>.dataframe td {{ max-width: 200px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }}</style>{html}'\n",
-    "display(HTML(truncate_width))\n",
-    "display(result.errors)"
+    "display(HTML(truncate_width))"
    ]
   },
   {
@@ -119,11 +120,10 @@
    "outputs": [],
    "source": [
     "# example 4 - international indeed (no zip_recruiter)\n",
-    "result = scrape_jobs(\n",
+    "jobs = scrape_jobs(\n",
     "    site_name=[\"indeed\"],\n",
-    "    location='berlin',\n",
     "    search_term=\"engineer\",\n",
-    "    country_indeed = \"Germany\",\n",
+    "    country_indeed = \"China\",\n",
     "    hyperlinks=True\n",
     ")"
    ]
@@ -136,11 +136,10 @@
    "outputs": [],
    "source": [
     "# use if hyperlinks=True\n",
-    "html = result.jobs.to_html(escape=False)\n",
+    "html = jobs.to_html(escape=False)\n",
     "# change max-width: 200px to show more or less of the content\n",
     "truncate_width = f'<style>.dataframe td {{ max-width: 200px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; }}</style>{html}'\n",
-    "display(HTML(truncate_width))\n",
-    "display(result.errors)"
+    "display(HTML(truncate_width))"
    ]
   }
  ],
@@ -160,7 +159,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.11"
+   "version": "3.11.5"
   }
  },
  "nbformat": 4,

README.md

@@ -1,21 +1,24 @@
 <img src="https://github.com/cullenwatson/JobSpy/assets/78247585/ae185b7e-e444-4712-8bb9-fa97f53e896b" width="400">
 
 **JobSpy** is a simple, yet comprehensive, job scraping library.
+
+*Looking to build a data-focused software product?* **[Book a call](https://calendly.com/zachary-products/15min)** *to work with us.*  
+\
+Check out another project we wrote: ***[HomeHarvest](https://github.com/ZacharyHampton/HomeHarvest)** – a Python package for real estate scraping*
 ## Features
 
 
 - Scrapes job postings from **LinkedIn**, **Indeed** & **ZipRecruiter** simultaneously
 - Aggregates the job postings in a Pandas DataFrame
+- Proxy support (HTTP/S, SOCKS)
   
-[Video Guide for JobSpy](https://www.youtube.com/watch?v=-yS3mgI5H-4)
-
-
+[Video Guide for JobSpy](https://www.youtube.com/watch?v=RuP1HrAZnxs&pp=ygUgam9icyBzY3JhcGVyIGJvdCBsaW5rZWRpbiBpbmRlZWQ%3D) - Updated for release v1.1.3
 
 ![jobspy](https://github.com/cullenwatson/JobSpy/assets/78247585/ec7ef355-05f6-4fd3-8161-a817e31c5c57)
   
 ### Installation
 ```
-pip install python-jobspy
+pip install --upgrade python-jobspy
 ```
   
   _Python version >= [3.10](https://www.python.org/downloads/release/python-3100/) required_ 
@@ -26,30 +29,34 @@ pip install python-jobspy
 from jobspy import scrape_jobs
 import pandas as pd
 
-result: pd.DataFrame = scrape_jobs(
+jobs: pd.DataFrame = scrape_jobs(
     site_name=["indeed", "linkedin", "zip_recruiter"],
     search_term="software engineer",
     location="Dallas, TX",
     results_wanted=10,
     
     country_indeed='USA' # only needed for indeed
+    
+    # use if you want to use a proxy (3 types)
+    # proxy="socks5://jobspy:5a4vpWtj8EeJ2hoYzk@ca.smartproxy.com:20001",
+    # proxy="http://jobspy:5a4vpWtj8EeJ2hoYzk@ca.smartproxy.com:20001",
+    # proxy="https://jobspy:5a4vpWtj8EeJ2hoYzk@ca.smartproxy.com:20001",
 )
 
+# formatting for pandas
 pd.set_option('display.max_columns', None)
 pd.set_option('display.max_rows', None)
 pd.set_option('display.width', None)
 pd.set_option('display.max_colwidth', 50)  # set to 0 to see full job url / desc
 
-#1 output
-print(result.jobs)
-print(result.errors)
+#1 display in Jupyter Notebook (1. pip install jupyter 2. jupyter notebook)
+display(jobs)
 
-#2 display in Jupyter Notebook
-#display(result.jobs)
-#display(result.errors)
+#2 output to console
+#print(jobs)
 
 #3 output to .csv
-#result.jobs.to_csv('result.jobs.csv', index=False)
+#jobs.to_csv('jobs.csv', index=False)
 ```
 
 ### Output
@@ -71,10 +78,11 @@ Optional
 ├── location (int)
 ├── distance (int): in miles
 ├── job_type (enum): fulltime, parttime, internship, contract
+├── proxy (str): in format 'http://user:pass@host:port' or [https, socks]
 ├── is_remote (bool)
 ├── 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 LinkedIn
-├── country_indeed (enum): filters the country on Indeed
+├── country_indeed (enum): filters the country on Indeed (see below for correct spelling)
 ```
 
  
@@ -98,20 +106,26 @@ JobPost
 └── date_posted (date)
 ```
 
+### Exceptions
+The following exceptions may be raised when using JobSpy:
+* `LinkedInException`
+* `IndeedException`
+* `ZipRecruiterException`
+
 ## Supported Countries for Job Searching
 
 
 ### **LinkedIn**
 
-LinkedIn searches globally & uses only the `location` parameter
+LinkedIn searches globally & uses only the `location` parameter.
 
 ### **ZipRecruiter**
 
-ZipRecruiter searches for jobs in US/Canada & uses only the `location` parameter
+ZipRecruiter searches for jobs in **US/Canada** & uses only the `location` parameter.
 
 
 ### **Indeed**
-For Indeed, the `country_indeed` parameter is required. Additionally, use the `location` parameter and include the city or state if necessary.
+Indeed supports most countries, but the `country_indeed` parameter is required. Additionally, use the `location` parameter to narrow down the location, e.g. city & state if necessary.
 
 You can specify the following countries when searching on Indeed (use the exact name): 
 
@@ -140,18 +154,22 @@ You can specify the following countries when searching on Indeed (use the exact
 ---
 
 **Q: Encountering issues with your queries?**  
-**A:** Try reducing the number of `results_wanted` and/or broadening the filters. If problems persist, [submit an issue](#).
+**A:** Try reducing the number of `results_wanted` and/or broadening the filters. If problems persist, [submit an issue](https://github.com/cullenwatson/JobSpy/issues).
 
 ---
 
 **Q: Received a response code 429?**  
-**A:** This indicates that you have been blocked by the job board site for sending too many requests. Currently, **ZipRecruiter** is particularly aggressive with blocking. We recommend:
+**A:** This indicates that you have been blocked by the job board site for sending too many requests. Currently, **LinkedIn** is particularly aggressive with blocking. We recommend:
 
 - Waiting a few seconds between requests.
-- Trying a VPN to change your IP address.
-
-**Note:** Proxy support is in development and coming soon!
+- Trying a VPN or proxy to change your IP address.
 
 ---
 
+**Q: Experiencing a "Segmentation fault: 11" on macOS Catalina?**  
+**A:** This is due to `tls_client` dependency not supporting your architecture. Solutions and workarounds include:
+- Upgrade to a newer version of MacOS
+- Reach out to the maintainers of [tls_client](https://github.com/bogdanfinn/tls-client) for fixes
+
+
   

pyproject.toml

@@ -1,8 +1,9 @@
 [tool.poetry]
 name = "python-jobspy"
-version = "1.1.2"
+version = "1.1.5"
 description = "Job scraper for LinkedIn, Indeed & ZipRecruiter"
 authors = ["Zachary Hampton <zachary@zacharysproducts.com>", "Cullen Watson <cullen@cullen.ai>"]
+homepage = "https://github.com/cullenwatson/JobSpy"
 readme = "README.md"
 
 packages = [

src/jobspy/__init__.py

@@ -1,13 +1,19 @@
 import pandas as pd
 import concurrent.futures
 from concurrent.futures import ThreadPoolExecutor
-from typing import List, Tuple, NamedTuple, Dict
+from typing import List, Tuple, NamedTuple, Dict, Optional
+import traceback
 
 from .jobs import JobType, Location
 from .scrapers.indeed import IndeedScraper
 from .scrapers.ziprecruiter import ZipRecruiterScraper
 from .scrapers.linkedin import LinkedInScraper
 from .scrapers import ScraperInput, Site, JobResponse, Country
+from .scrapers.exceptions import (
+    LinkedInException,
+    IndeedException,
+    ZipRecruiterException,
+)
 
 SCRAPER_MAPPING = {
     Site.LINKEDIN: LinkedInScraper,
@@ -16,11 +22,6 @@ SCRAPER_MAPPING = {
 }
 
 
-class ScrapeResults(NamedTuple):
-    jobs: pd.DataFrame
-    errors: pd.DataFrame
-
-
 def _map_str_to_site(site_name: str) -> Site:
     return Site[site_name.upper()]
 
@@ -31,21 +32,33 @@ def scrape_jobs(
     location: str = "",
     distance: int = None,
     is_remote: bool = False,
-    job_type: JobType = None,
+    job_type: str = None,
     easy_apply: bool = False,  # linkedin
     results_wanted: int = 15,
     country_indeed: str = "usa",
-    hyperlinks: bool = False
-) -> ScrapeResults:
+    hyperlinks: bool = False,
+    proxy: Optional[str] = None,
+) -> pd.DataFrame:
     """
-    Asynchronously scrapes job data from multiple job sites.
+    Simultaneously scrapes job data from multiple job sites.
     :return: results_wanted: pandas dataframe containing job data
     """
 
+    def get_enum_from_value(value_str):
+        for job_type in JobType:
+            if value_str in job_type.value:
+                return job_type
+        raise Exception(f"Invalid job type: {value_str}")
+    job_type = get_enum_from_value(job_type) if job_type else None
+
+
     if type(site_name) == str:
         site_type = [_map_str_to_site(site_name)]
     else:  #: if type(site_name) == list
-        site_type = [_map_str_to_site(site) if type(site) == str else site_name for site in site_name]
+        site_type = [
+            _map_str_to_site(site) if type(site) == str else site_name
+            for site in site_name
+        ]
 
     country_enum = Country.from_string(country_indeed)
 
@@ -62,99 +75,95 @@ def scrape_jobs(
     )
 
     def scrape_site(site: Site) -> Tuple[str, JobResponse]:
-        try:
         scraper_class = SCRAPER_MAPPING[site]
-            scraper = scraper_class()
+        scraper = scraper_class(proxy=proxy)
+
+        try:
             scraped_data: JobResponse = scraper.scrape(scraper_input)
+        except (LinkedInException, IndeedException, ZipRecruiterException) as lie:
+            raise lie
         except Exception as e:
-            scraped_data = JobResponse(jobs=[], error=str(e), success=False)
+            # unhandled exceptions
+            if site == Site.LINKEDIN:
+                raise LinkedInException()
+            if site == Site.INDEED:
+                raise IndeedException()
+            if site == Site.ZIP_RECRUITER:
+                raise ZipRecruiterException()
+            else:
+                raise e
         return site.value, scraped_data
 
-    results, errors = {}, {}
+    site_to_jobs_dict = {}
 
     def worker(site):
         site_value, scraped_data = scrape_site(site)
         return site_value, scraped_data
 
     with ThreadPoolExecutor() as executor:
-        future_to_site = {executor.submit(worker, site): site for site in scraper_input.site_type}
+        future_to_site = {
+            executor.submit(worker, site): site for site in scraper_input.site_type
+        }
 
         for future in concurrent.futures.as_completed(future_to_site):
             site_value, scraped_data = future.result()
-            results[site_value] = scraped_data
-            if scraped_data.error:
-                errors[site_value] = scraped_data.error
+            site_to_jobs_dict[site_value] = scraped_data
 
-    dfs = []
+    jobs_dfs: List[pd.DataFrame] = []
 
-    for site, job_response in results.items():
+    for site, job_response in site_to_jobs_dict.items():
         for job in job_response.jobs:
-            data = job.dict()
-            data["job_url_hyper"] = f'<a href="{data["job_url"]}">{data["job_url"]}</a>'
-            data["site"] = site
-            data["company"] = data["company_name"]
-            if data["job_type"]:
+            job_data = job.dict()
+            job_data[
+                "job_url_hyper"
+            ] = f'<a href="{job_data["job_url"]}">{job_data["job_url"]}</a>'
+            job_data["site"] = site
+            job_data["company"] = job_data["company_name"]
+            if job_data["job_type"]:
                 # Take the first value from the job type tuple
-                data["job_type"] = data["job_type"].value[0]
+                job_data["job_type"] = job_data["job_type"].value[0]
             else:
-                data["job_type"] = None
+                job_data["job_type"] = None
 
-            data["location"] = Location(**data["location"]).display_location()
+            job_data["location"] = Location(**job_data["location"]).display_location()
 
-            compensation_obj = data.get("compensation")
+            compensation_obj = job_data.get("compensation")
             if compensation_obj and isinstance(compensation_obj, dict):
-                data["interval"] = (
+                job_data["interval"] = (
                     compensation_obj.get("interval").value
                     if compensation_obj.get("interval")
                     else None
                 )
-                data["min_amount"] = compensation_obj.get("min_amount")
-                data["max_amount"] = compensation_obj.get("max_amount")
-                data["currency"] = compensation_obj.get("currency", "USD")
+                job_data["min_amount"] = compensation_obj.get("min_amount")
+                job_data["max_amount"] = compensation_obj.get("max_amount")
+                job_data["currency"] = compensation_obj.get("currency", "USD")
             else:
-                data["interval"] = None
-                data["min_amount"] = None
-                data["max_amount"] = None
-                data["currency"] = None
+                job_data["interval"] = None
+                job_data["min_amount"] = None
+                job_data["max_amount"] = None
+                job_data["currency"] = None
 
-            job_df = pd.DataFrame([data])
-            dfs.append(job_df)
+            job_df = pd.DataFrame([job_data])
+            jobs_dfs.append(job_df)
 
-    errors_list = [(key, value) for key, value in errors.items()]
-    errors_df = pd.DataFrame(errors_list, columns=["Site", "Error"])
-
-    if dfs:
-        df = pd.concat(dfs, ignore_index=True)
-        if hyperlinks:
-            desired_order = [
+    if jobs_dfs:
+        jobs_df = pd.concat(jobs_dfs, ignore_index=True)
+        desired_order: List[str] = [
             "site",
             "title",
             "company",
             "location",
+            "date_posted",
             "job_type",
             "interval",
             "min_amount",
             "max_amount",
             "currency",
-                "job_url_hyper",
+            "job_url_hyper" if hyperlinks else "job_url",
             "description",
         ]
+        jobs_formatted_df = jobs_df[desired_order]
     else:
-            desired_order = [
-                "site",
-                "title",
-                "company",
-                "location",
-                "job_type",
-                "interval",
-                "min_amount",
-                "max_amount",
-                "currency",
-                "job_url",
-                "description",
-            ]
-        df = df[desired_order]
-    else:
-        df = pd.DataFrame()
+        jobs_formatted_df = pd.DataFrame()
 
-    return ScrapeResults(jobs=df, errors=errors_df)
+    return jobs_formatted_df

src/jobspy/jobs/__init__.py

@@ -189,22 +189,4 @@ class JobPost(BaseModel):
 
 
 class JobResponse(BaseModel):
-    success: bool
-    error: str = None
-
-    total_results: Optional[int] = None
-
     jobs: list[JobPost] = []
-
-    returned_results: int = None
-
-    @validator("returned_results", pre=True, always=True)
-    def set_returned_results(cls, v, values):
-        jobs_list = values.get("jobs")
-
-        if v is None:
-            if jobs_list is not None:
-                return len(jobs_list)
-            else:
-                return 0
-        return v

src/jobspy/scrapers/__init__.py

@@ -2,11 +2,6 @@ from ..jobs import Enum, BaseModel, JobType, JobResponse, Country
 from typing import List, Optional, Any
 
 
-class StatusException(Exception):
-    def __init__(self, status_code: int):
-        self.status_code = status_code
-
-
 class Site(Enum):
     LINKEDIN = "linkedin"
     INDEED = "indeed"
@@ -28,8 +23,9 @@ class ScraperInput(BaseModel):
 
 
 class Scraper:
-    def __init__(self, site: Site):
+    def __init__(self, site: Site, proxy: Optional[List[str]] = None):
         self.site = site
+        self.proxy = (lambda p: {"http": p, "https": p} if p else None)(proxy)
 
     def scrape(self, scraper_input: ScraperInput) -> JobResponse:
         ...

src/jobspy/scrapers/exceptions.py

@@ -0,0 +1,18 @@
+"""
+jobspy.scrapers.exceptions
+~~~~~~~~~~~~~~~~~~~
+
+This module contains the set of Scrapers' exceptions.
+"""
+
+
+class LinkedInException(Exception):
+    """Failed to scrape LinkedIn"""
+
+
+class IndeedException(Exception):
+    """Failed to scrape Indeed"""
+
+
+class ZipRecruiterException(Exception):
+    """Failed to scrape ZipRecruiter"""

src/jobspy/scrapers/indeed/__init__.py

@@ -1,3 +1,9 @@
+"""
+jobspy.scrapers.indeed
+~~~~~~~~~~~~~~~~~~~
+
+This module contains routines to scrape Indeed.
+"""
 import re
 import math
 import io
@@ -12,6 +18,7 @@ from bs4 import BeautifulSoup
 from bs4.element import Tag
 from concurrent.futures import ThreadPoolExecutor, Future
 
+from ..exceptions import IndeedException
 from ...jobs import (
     JobPost,
     Compensation,
@@ -20,20 +27,16 @@ from ...jobs import (
     JobResponse,
     JobType,
 )
-from .. import Scraper, ScraperInput, Site, Country, StatusException
-
-
-class ParsingException(Exception):
-    pass
+from .. import Scraper, ScraperInput, Site, Country
 
 
 class IndeedScraper(Scraper):
-    def __init__(self):
+    def __init__(self, proxy: Optional[str] = None):
         """
         Initializes IndeedScraper with the Indeed job search url
         """
         site = Site(Site.INDEED)
-        super().__init__(site)
+        super().__init__(site, proxy=proxy)
 
         self.jobs_per_page = 15
         self.seen_urls = set()
@@ -52,7 +55,7 @@ class IndeedScraper(Scraper):
         domain = self.country.domain_value
         self.url = f"https://{domain}.indeed.com"
 
-        job_list = []
+        job_list: list[JobPost] = []
 
         params = {
             "q": scraper_input.search_term,
@@ -71,15 +74,26 @@ class IndeedScraper(Scraper):
 
         if sc_values:
             params["sc"] = "0kf:" + "".join(sc_values) + ";"
-        response = session.get(self.url + "/jobs", params=params, allow_redirects=True)
-        # print(response.status_code)
-
+        try:
+            response = session.get(
+                self.url + "/jobs",
+                params=params,
+                allow_redirects=True,
+                proxy=self.proxy,
+                timeout_seconds=10,
+            )
             if response.status_code not in range(200, 400):
-            raise StatusException(response.status_code)
+                raise IndeedException(
+                    f"bad response with status code: {response.status_code}"
+                )
+        except Exception as e:
+            if "Proxy responded with" in str(e):
+                raise IndeedException("bad proxy")
+            raise IndeedException(str(e))
 
         soup = BeautifulSoup(response.content, "html.parser")
         if "did not match any jobs" in response.text:
-            raise ParsingException("Search did not match any jobs")
+            raise IndeedException("Parsing exception: Search did not match any jobs")
 
         jobs = IndeedScraper.parse_jobs(
             soup
@@ -91,7 +105,7 @@ class IndeedScraper(Scraper):
             .get("mosaicProviderJobCardsModel", {})
             .get("results")
         ):
-            raise Exception("No jobs found.")
+            raise IndeedException("No jobs found.")
 
         def process_job(job) -> Optional[JobPost]:
             job_url = f'{self.url}/jobs/viewjob?jk={job["jobkey"]}'
@@ -169,7 +183,6 @@ class IndeedScraper(Scraper):
             math.ceil(scraper_input.results_wanted / self.jobs_per_page) - 1
         )
 
-        try:
         #: get first page to initialize session
         job_list, total_results = self.scrape_page(scraper_input, 0, session)
 
@@ -183,28 +196,11 @@ class IndeedScraper(Scraper):
                 jobs, _ = future.result()
 
                 job_list += jobs
-        except StatusException as e:
-            return JobResponse(
-                success=False,
-                error=f"Indeed returned status code {e.status_code}",
-            )
-
-        except ParsingException as e:
-            return JobResponse(
-                success=False,
-                error=f"Indeed failed to parse response: {e}",
-            )
-        except Exception as e:
-            return JobResponse(
-                success=False,
-                error=f"Indeed failed to scrape: {e}",
-            )
 
         if len(job_list) > scraper_input.results_wanted:
             job_list = job_list[: scraper_input.results_wanted]
 
         job_response = JobResponse(
-            success=True,
             jobs=job_list,
             total_results=total_results,
         )
@@ -224,9 +220,9 @@ class IndeedScraper(Scraper):
 
         try:
             response = session.get(
-                formatted_url, allow_redirects=True, timeout_seconds=5
+                formatted_url, allow_redirects=True, timeout_seconds=5, proxy=self.proxy
             )
-        except requests.exceptions.Timeout:
+        except Exception as e:
             return None
 
         if response.status_code not in range(200, 400):
@@ -253,7 +249,6 @@ class IndeedScraper(Scraper):
                     label = taxonomy["attributes"][0].get("label")
                     if label:
                         job_type_str = label.replace("-", "").replace(" ", "").lower()
-                        # print(f"Debug: job_type_str = {job_type_str}")
                         return IndeedScraper.get_enum_from_value(job_type_str)
         return None
 
@@ -299,9 +294,9 @@ class IndeedScraper(Scraper):
                 jobs = json.loads(m.group(1).strip())
                 return jobs
             else:
-                raise ParsingException("Could not find mosaic provider job cards data")
+                raise IndeedException("Could not find mosaic provider job cards data")
         else:
-            raise ParsingException(
+            raise IndeedException(
                 "Could not find a script tag containing mosaic provider data"
             )
 

src/jobspy/scrapers/linkedin/__init__.py

@@ -1,13 +1,20 @@
+"""
+jobspy.scrapers.linkedin
+~~~~~~~~~~~~~~~~~~~
+
+This module contains routines to scrape LinkedIn.
+"""
 from typing import Optional, Tuple
 from datetime import datetime
 import traceback
 
 import requests
-from requests.exceptions import Timeout
+from requests.exceptions import Timeout, ProxyError
 from bs4 import BeautifulSoup
 from bs4.element import Tag
 
 from .. import Scraper, ScraperInput, Site
+from ..exceptions import LinkedInException
 from ...jobs import (
     JobPost,
     Location,
@@ -19,13 +26,13 @@ from ...jobs import (
 
 
 class LinkedInScraper(Scraper):
-    def __init__(self):
+    def __init__(self, proxy: Optional[str] = None):
         """
         Initializes LinkedInScraper with the LinkedIn job search url
         """
         site = Site(Site.LINKEDIN)
         self.url = "https://www.linkedin.com"
-        super().__init__(site)
+        super().__init__(site, proxy=proxy)
 
     def scrape(self, scraper_input: ScraperInput) -> JobResponse:
         """
@@ -64,18 +71,23 @@ class LinkedInScraper(Scraper):
                 }
 
                 params = {k: v for k, v in params.items() if v is not None}
+                try:
                     response = session.get(
-                    f"{self.url}/jobs/search", params=params, allow_redirects=True
+                        f"{self.url}/jobs/search",
+                        params=params,
+                        allow_redirects=True,
+                        proxies=self.proxy,
+                        timeout=10,
                     )
-
-                if response.status_code != 200:
-                    reason = ' (too many requests)' if response.status_code == 429 else ''
-                    return JobResponse(
-                        success=False,
-                        error=f"LinkedIn returned {response.status_code} {reason}",
-                        jobs=job_list,
-                        total_results=job_count,
+                    response.raise_for_status()
+                except requests.HTTPError as e:
+                    raise LinkedInException(
+                        f"bad response status code: {response.status_code}"
                     )
+                except ProxyError as e:
+                    raise LinkedInException("bad proxy")
+                except (ProxyError, Exception) as e:
+                    raise LinkedInException(str(e))
 
                 soup = BeautifulSoup(response.text, "html.parser")
 
@@ -115,7 +127,7 @@ class LinkedInScraper(Scraper):
                     datetime_tag = metadata_card.find(
                         "time", class_="job-search-card__listdate"
                     )
-                    description, job_type = LinkedInScraper.get_description(job_url)
+                    description, job_type = self.get_description(job_url)
                     if datetime_tag:
                         datetime_str = datetime_tag["datetime"]
                         try:
@@ -150,26 +162,18 @@ class LinkedInScraper(Scraper):
                 page += 1
 
         job_list = job_list[: scraper_input.results_wanted]
-        job_response = JobResponse(
-            success=True,
-            jobs=job_list,
-            total_results=job_count,
-        )
-        return job_response
+        return JobResponse(jobs=job_list)
 
-    @staticmethod
-    def get_description(job_page_url: str) -> Optional[str]:
+    def get_description(self, job_page_url: str) -> Optional[str]:
         """
         Retrieves job description by going to the job page url
         :param job_page_url:
         :return: description or None
         """
         try:
-            response = requests.get(job_page_url, timeout=5)
-        except Timeout:
-            return None, None
-
-        if response.status_code not in range(200, 400):
+            response = requests.get(job_page_url, timeout=5, proxies=self.proxy)
+            response.raise_for_status()
+        except Exception as e:
             return None, None
 
         soup = BeautifulSoup(response.text, "html.parser")

src/jobspy/scrapers/ziprecruiter/__init__.py

@@ -1,3 +1,9 @@
+"""
+jobspy.scrapers.ziprecruiter
+~~~~~~~~~~~~~~~~~~~
+
+This module contains routines to scrape ZipRecruiter.
+"""
 import math
 import json
 import re
@@ -7,11 +13,13 @@ from typing import Optional, Tuple
 from urllib.parse import urlparse, parse_qs
 
 import tls_client
+import requests
 from bs4 import BeautifulSoup
 from bs4.element import Tag
 from concurrent.futures import ThreadPoolExecutor, Future
 
-from .. import Scraper, ScraperInput, Site, StatusException
+from .. import Scraper, ScraperInput, Site
+from ..exceptions import ZipRecruiterException
 from ...jobs import (
     JobPost,
     Compensation,
@@ -24,13 +32,13 @@ from ...jobs import (
 
 
 class ZipRecruiterScraper(Scraper):
-    def __init__(self):
+    def __init__(self, proxy: Optional[str] = None):
         """
         Initializes LinkedInScraper with the ZipRecruiter job search url
         """
         site = Site(Site.ZIP_RECRUITER)
         self.url = "https://www.ziprecruiter.com"
-        super().__init__(site)
+        super().__init__(site, proxy=proxy)
 
         self.jobs_per_page = 20
         self.seen_urls = set()
@@ -38,7 +46,7 @@ class ZipRecruiterScraper(Scraper):
             client_identifier="chrome112", random_tls_extension_order=True
         )
 
-    def scrape_page(
+    def find_jobs_in_page(
         self, scraper_input: ScraperInput, page: int
     ) -> tuple[list[JobPost], int | None]:
         """
@@ -48,73 +56,62 @@ class ZipRecruiterScraper(Scraper):
         :param session:
         :return: jobs found on page, total number of jobs found for search
         """
-
-        job_list = []
-
-        job_type_value = None
-        if scraper_input.job_type:
-            if scraper_input.job_type.value == "fulltime":
-                job_type_value = "full_time"
-            elif scraper_input.job_type.value == "parttime":
-                job_type_value = "part_time"
-            else:
-                job_type_value = scraper_input.job_type.value
-
-        params = {
-            "search": scraper_input.search_term,
-            "location": scraper_input.location,
-            "page": page,
-            "form": "jobs-landing",
-        }
-
-        if scraper_input.is_remote:
-            params["refine_by_location_type"] = "only_remote"
-
-        if scraper_input.distance:
-            params["radius"] = scraper_input.distance
-
-        if job_type_value:
-            params[
-                "refine_by_employment"
-            ] = f"employment_type:employment_type:{job_type_value}"
-
+        job_list: list[JobPost] = []
+        try:
             response = self.session.get(
                 self.url + "/jobs-search",
                 headers=ZipRecruiterScraper.headers(),
-            params=params,
+                params=ZipRecruiterScraper.add_params(scraper_input, page),
                 allow_redirects=True,
+                proxy=self.proxy,
+                timeout_seconds=10,
             )
-
-        # print(response.status_code)
             if response.status_code != 200:
-            raise StatusException(response.status_code)
-
-        html_string = response.text
-        soup = BeautifulSoup(html_string, "html.parser")
-
-        script_tag = soup.find("script", {"id": "js_variables"})
-        data = json.loads(script_tag.string)
-
-        if page == 1:
-            job_count = int(data["totalJobCount"].replace(",", ""))
+                raise ZipRecruiterException(
+                    f"bad response status code: {response.status_code}"
+                )
+        except Exception as e:
+            if "Proxy responded with non 200 code" in str(e):
+                raise ZipRecruiterException("bad proxy")
+            raise ZipRecruiterException(str(e))
         else:
-            job_count = None
+            soup = BeautifulSoup(response.text, "html.parser")
+            js_tag = soup.find("script", {"id": "js_variables"})
+
+        if js_tag:
+            page_json = json.loads(js_tag.string)
+            jobs_list = page_json.get("jobList")
+            if jobs_list:
+                page_variant = "javascript"
+                # print('type javascript', len(jobs_list))
+            else:
+                page_variant = "html_2"
+                jobs_list = soup.find_all("div", {"class": "job_content"})
+                # print('type 2 html', len(jobs_list))
+        else:
+            page_variant = "html_1"
+            jobs_list = soup.find_all("li", {"class": "job-listing"})
+            # print('type 1 html', len(jobs_list))
+            # with open("zip_method_8.html", "w") as f:
+            #     f.write(soup.prettify())
 
         with ThreadPoolExecutor(max_workers=10) as executor:
-            if "jobList" in data and data["jobList"]:
-                jobs_js = data["jobList"]
+            if page_variant == "javascript":
                 job_results = [
-                    executor.submit(self.process_job_js, job) for job in jobs_js
+                    executor.submit(self.process_job_javascript, job)
+                    for job in jobs_list
                 ]
-            else:
-                jobs_html = soup.find_all("div", {"class": "job_content"})
+            elif page_variant == "html_1":
                 job_results = [
-                    executor.submit(self.process_job_html, job) for job in jobs_html
+                    executor.submit(self.process_job_html_1, job) for job in jobs_list
+                ]
+            elif page_variant == "html_2":
+                job_results = [
+                    executor.submit(self.process_job_html_2, job) for job in jobs_list
                 ]
 
         job_list = [result.result() for result in job_results if result.result()]
-
-        return job_list, job_count
+        return job_list
 
     def scrape(self, scraper_input: ScraperInput) -> JobResponse:
         """
@@ -122,50 +119,27 @@ class ZipRecruiterScraper(Scraper):
         :param scraper_input:
         :return: job_response
         """
-
+        #: get first page to initialize session
+        job_list: list[JobPost] = self.find_jobs_in_page(scraper_input, 1)
         pages_to_process = max(
             3, math.ceil(scraper_input.results_wanted / self.jobs_per_page)
         )
 
-        try:
-            #: get first page to initialize session
-            job_list, total_results = self.scrape_page(scraper_input, 1)
-
         with ThreadPoolExecutor(max_workers=10) as executor:
             futures: list[Future] = [
-                    executor.submit(self.scrape_page, scraper_input, page)
+                executor.submit(self.find_jobs_in_page, scraper_input, page)
                 for page in range(2, pages_to_process + 1)
             ]
 
             for future in futures:
-                    jobs, _ = future.result()
+                jobs = future.result()
 
                 job_list += jobs
 
-        except StatusException as e:
-            return JobResponse(
-                success=False,
-                error=f"ZipRecruiter returned status code {e.status_code}",
-            )
-        except Exception as e:
-            return JobResponse(
-                success=False,
-                error=f"ZipRecruiter failed to scrape: {e}",
-            )
-
-        #: note: this does not handle if the results are more or less than the results_wanted
-
-        if len(job_list) > scraper_input.results_wanted:
         job_list = job_list[: scraper_input.results_wanted]
+        return JobResponse(jobs=job_list)
 
-        job_response = JobResponse(
-            success=True,
-            jobs=job_list,
-            total_results=total_results,
-        )
-        return job_response
-
-    def process_job_html(self, job: Tag) -> Optional[JobPost]:
+    def process_job_html_1(self, job: Tag) -> Optional[JobPost]:
         """
         Parses a job from the job content tag
         :param job: BeautifulSoup Tag for one job post
@@ -179,8 +153,7 @@ class ZipRecruiterScraper(Scraper):
         company = job.find("a", {"class": "company_name"}).text.strip()
 
         description, updated_job_url = self.get_description(job_url)
-        if updated_job_url is not None:
-            job_url = updated_job_url
+        job_url = updated_job_url if updated_job_url else job_url
         if description is None:
             description = job.find("p", {"class": "job_snippet"}).text.strip()
 
@@ -188,7 +161,7 @@ class ZipRecruiterScraper(Scraper):
         job_type = None
         if job_type_element:
             job_type_text = (
-                job_type_element.text.strip().lower().replace("-", "").replace(" ", "")
+                job_type_element.text.strip().lower().replace("_", "").replace(" ", "")
             )
             job_type = ZipRecruiterScraper.get_job_type_enum(job_type_text)
 
@@ -206,8 +179,53 @@ class ZipRecruiterScraper(Scraper):
         )
         return job_post
 
-    def process_job_js(self, job: dict) -> JobPost:
+    def process_job_html_2(self, job: Tag) -> Optional[JobPost]:
+        """
+        Parses a job from the job content tag for a second variat of HTML that ZR uses
+        :param job: BeautifulSoup Tag for one job post
+        :return JobPost
+        """
+        job_url = job.find("a", class_="job_link")["href"]
+        title = job.find("h2", class_="title").text
+        company = job.find("a", class_="company_name").text.strip()
+
+        description, updated_job_url = self.get_description(job_url)
+        job_url = updated_job_url if updated_job_url else job_url
+        if description is None:
+            description = job.find("p", class_="job_snippet").get_text().strip()
+
+        job_type_text = job.find("li", class_="perk_item perk_type")
+        job_type = None
+        if job_type_text:
+            job_type_text = (
+                job_type_text.get_text()
+                .strip()
+                .lower()
+                .replace("-", "")
+                .replace(" ", "")
+            )
+            job_type = ZipRecruiterScraper.get_job_type_enum(job_type_text)
+        date_posted = ZipRecruiterScraper.get_date_posted(job)
+
+        job_post = JobPost(
+            title=title,
+            description=description,
+            company_name=company,
+            location=ZipRecruiterScraper.get_location(job),
+            job_type=job_type,
+            compensation=ZipRecruiterScraper.get_compensation(job),
+            date_posted=date_posted,
+            job_url=job_url,
+        )
+        return job_post
+
+    def process_job_javascript(self, job: dict) -> JobPost:
         title = job.get("Title")
+        job_url = job.get("JobURL")
+
+        description, updated_job_url = self.get_description(job_url)
+        job_url = updated_job_url if updated_job_url else job_url
+        if description is None:
             description = BeautifulSoup(
                 job.get("Snippet", "").strip(), "html.parser"
             ).get_text()
@@ -216,13 +234,9 @@ class ZipRecruiterScraper(Scraper):
         location = Location(
             city=job.get("City"), state=job.get("State"), country=Country.US_CANADA
         )
-        try:
         job_type = ZipRecruiterScraper.get_job_type_enum(
-                job.get("EmploymentType", "").replace("-", "_").lower()
+            job.get("EmploymentType", "").replace("-", "").lower()
         )
-        except ValueError:
-            # print(f"Skipping job due to unrecognized job type: {job.get('EmploymentType')}")
-            return None
 
         formatted_salary = job.get("FormattedSalaryShort", "")
         salary_parts = formatted_salary.split(" ")
@@ -272,17 +286,11 @@ class ZipRecruiterScraper(Scraper):
         )
         return job_post
 
-    @staticmethod
-    def get_enum_from_value(value_str):
-        for job_type in JobType:
-            if value_str in job_type.value:
-                return job_type
-        return None
-
     @staticmethod
     def get_job_type_enum(job_type_str: str) -> Optional[JobType]:
         for job_type in JobType:
             if job_type_str in job_type.value:
+                a = True
                 return job_type
         return None
 
@@ -294,14 +302,17 @@ class ZipRecruiterScraper(Scraper):
         :return: description or None, response url
         """
         try:
-            response = self.session.get(
+            response = requests.get(
                 job_page_url,
                 headers=ZipRecruiterScraper.headers(),
                 allow_redirects=True,
-                timeout_seconds=5,
+                timeout=5,
+                proxies=self.proxy,
             )
-        except requests.exceptions.Timeout:
-            return None
+            if response.status_code not in range(200, 400):
+                return None, None
+        except Exception as e:
+            return None, None
 
         html_string = response.content
         soup_job = BeautifulSoup(html_string, "html.parser")
@@ -311,6 +322,36 @@ class ZipRecruiterScraper(Scraper):
             return job_description_div.text.strip(), response.url
         return None, response.url
 
+    @staticmethod
+    def add_params(scraper_input, page) -> Optional[str]:
+        params = {
+            "search": scraper_input.search_term,
+            "location": scraper_input.location,
+            "page": page,
+            "form": "jobs-landing",
+        }
+        job_type_value = None
+        if scraper_input.job_type:
+            if scraper_input.job_type.value == "fulltime":
+                job_type_value = "full_time"
+            elif scraper_input.job_type.value == "parttime":
+                job_type_value = "part_time"
+            else:
+                job_type_value = scraper_input.job_type.value
+
+        if job_type_value:
+            params[
+                "refine_by_employment"
+            ] = f"employment_type:employment_type:{job_type_value}"
+
+        if scraper_input.is_remote:
+            params["refine_by_location_type"] = "only_remote"
+
+        if scraper_input.distance:
+            params["radius"] = scraper_input.distance
+
+        return params
+
     @staticmethod
     def get_interval(interval_str: str):
         """