mirror of https://github.com/Bunsly/JobSpy
enh: Indeed company url (#104)
Cullen Watson
GitHub
parent
32282305c8
commit
2563c5ca08
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@ -37,7 +37,6 @@ jobs = scrape_jobs(
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location="Dallas, TX",
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results_wanted=10,
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country_indeed='USA' # only needed for indeed / glassdoor
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# full_description=True (get full description for LinkedIn/Indeed; slower)
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)
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print(f"Found {len(jobs)} jobs")
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print(jobs.head())
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@ -68,7 +67,7 @@ Optional
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├── job_type (enum): fulltime, parttime, internship, contract
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├── proxy (str): in format 'http://user:pass@host:port' or [https, socks]
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├── is_remote (bool)
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├── full_description (bool): fetches full description for Indeed / LinkedIn (much slower)
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├── full_description (bool): fetches full description for LinkedIn (slower)
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├── results_wanted (int): number of job results to retrieve for each site specified in 'site_type'
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├── easy_apply (bool): filters for jobs that are hosted on the job board site
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├── linkedin_company_ids (list[int): searches for linkedin jobs with specific company ids
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@ -1,6 +1,6 @@
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[tool.poetry]
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name = "python-jobspy"
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version = "1.1.42"
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version = "1.1.43"
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description = "Job scraper for LinkedIn, Indeed, Glassdoor & ZipRecruiter"
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authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
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homepage = "https://github.com/Bunsly/JobSpy"
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@ -1,7 +1,6 @@
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import pandas as pd
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from typing import Tuple
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import concurrent.futures
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from concurrent.futures import ThreadPoolExecutor
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from concurrent.futures import ThreadPoolExecutor, as_completed
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from .jobs import JobType, Location
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from .scrapers.indeed import IndeedScraper
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@ -119,7 +118,7 @@ def scrape_jobs(
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executor.submit(worker, site): site for site in scraper_input.site_type
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}
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for future in concurrent.futures.as_completed(future_to_site):
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for future in as_completed(future_to_site):
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site_value, scraped_data = future.result()
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site_to_jobs_dict[site_value] = scraped_data
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@ -193,13 +193,20 @@ class CompensationInterval(Enum):
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@classmethod
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def get_interval(cls, pay_period):
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return cls[pay_period].value if pay_period in cls.__members__ else None
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interval_mapping = {
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"YEAR": cls.YEARLY,
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"HOUR": cls.HOURLY,
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}
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if pay_period in interval_mapping:
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return interval_mapping[pay_period].value
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else:
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return cls[pay_period].value if pay_period in cls.__members__ else None
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class Compensation(BaseModel):
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interval: Optional[CompensationInterval] = None
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min_amount: int | None = None
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max_amount: int | None = None
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min_amount: float | None = None
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max_amount: float | None = None
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currency: Optional[str] = "USD"
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@ -6,8 +6,8 @@ This module contains routines to scrape Indeed.
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"""
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import re
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import math
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import io
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import json
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import requests
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from typing import Any
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from datetime import datetime
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@ -80,13 +80,14 @@ class IndeedScraper(Scraper):
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raise IndeedException(str(e))
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soup = BeautifulSoup(response.content, "html.parser")
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job_list = []
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total_num_jobs = IndeedScraper.total_jobs(soup)
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if "did not match any jobs" in response.text:
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raise IndeedException("Parsing exception: Search did not match any jobs")
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return job_list, total_num_jobs
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jobs = IndeedScraper.parse_jobs(
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soup
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) #: can raise exception, handled by main scrape function
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total_num_jobs = IndeedScraper.total_jobs(soup)
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if (
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not jobs.get("metaData", {})
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@ -95,70 +96,51 @@ class IndeedScraper(Scraper):
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):
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raise IndeedException("No jobs found.")
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def process_job(job: dict) -> JobPost | None:
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def process_job(job: dict, job_detailed: dict) -> JobPost | None:
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job_url = f'{self.url}/m/jobs/viewjob?jk={job["jobkey"]}'
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job_url_client = f'{self.url}/viewjob?jk={job["jobkey"]}'
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if job_url in self.seen_urls:
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return None
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self.seen_urls.add(job_url)
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description = job_detailed['description']['html']
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extracted_salary = job.get("extractedSalary")
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compensation = None
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if extracted_salary:
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salary_snippet = job.get("salarySnippet")
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currency = salary_snippet.get("currency") if salary_snippet else None
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interval = (extracted_salary.get("type"),)
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if isinstance(interval, tuple):
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interval = interval[0]
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interval = interval.upper()
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if interval in CompensationInterval.__members__:
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compensation = Compensation(
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interval=CompensationInterval[interval],
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min_amount=int(extracted_salary.get("min")),
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max_amount=int(extracted_salary.get("max")),
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currency=currency,
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)
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job_type = IndeedScraper.get_job_type(job)
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timestamp_seconds = job["pubDate"] / 1000
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date_posted = datetime.fromtimestamp(timestamp_seconds)
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date_posted = date_posted.strftime("%Y-%m-%d")
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description = self.get_description(job_url) if scraper_input.full_description else None
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with io.StringIO(job["snippet"]) as f:
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soup_io = BeautifulSoup(f, "html.parser")
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li_elements = soup_io.find_all("li")
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if description is None and li_elements:
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description = " ".join(li.text for li in li_elements)
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job_post = JobPost(
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title=job["normTitle"],
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description=description,
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company_name=job["company"],
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company_url=self.url + job["companyOverviewLink"] if "companyOverviewLink" in job else None,
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company_url=f"{self.url}{job_detailed['employer']['relativeCompanyPageUrl']}" if job_detailed['employer'] else None,
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location=Location(
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city=job.get("jobLocationCity"),
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state=job.get("jobLocationState"),
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country=self.country,
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),
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job_type=job_type,
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compensation=compensation,
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compensation=self.get_compensation(job, job_detailed),
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date_posted=date_posted,
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job_url=job_url_client,
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emails=extract_emails_from_text(description) if description else None,
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num_urgent_words=count_urgent_words(description)
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if description
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else None,
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is_remote=self.is_remote_job(job),
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is_remote=IndeedScraper.is_job_remote(job, job_detailed, description)
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)
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return job_post
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workers = 10 if scraper_input.full_description else 10 # possibly lessen 10 when fetching desc based on feedback
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workers = 10
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jobs = jobs["metaData"]["mosaicProviderJobCardsModel"]["results"]
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job_keys = [job['jobkey'] for job in jobs]
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jobs_detailed = self.get_job_details(job_keys)
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with ThreadPoolExecutor(max_workers=workers) as executor:
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job_results: list[Future] = [
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executor.submit(process_job, job) for job in jobs
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executor.submit(process_job, job, job_detailed['job']) for job, job_detailed in zip(jobs, jobs_detailed)
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]
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job_list = [result.result() for result in job_results if result.result()]
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@ -171,26 +153,34 @@ class IndeedScraper(Scraper):
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:param scraper_input:
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:return: job_response
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"""
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pages_to_process = (
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math.ceil(scraper_input.results_wanted / self.jobs_per_page) - 1
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)
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#: get first page to initialize session
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job_list, total_results = self.scrape_page(scraper_input, 0)
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pages_processed = 1
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with ThreadPoolExecutor(max_workers=10) as executor:
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futures: list[Future] = [
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executor.submit(self.scrape_page, scraper_input, page)
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for page in range(1, pages_to_process + 1)
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]
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while len(self.seen_urls) < scraper_input.results_wanted:
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pages_to_process = math.ceil((scraper_input.results_wanted - len(self.seen_urls)) / self.jobs_per_page)
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new_jobs = False
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for future in futures:
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jobs, _ = future.result()
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with ThreadPoolExecutor(max_workers=10) as executor:
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futures: list[Future] = [
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executor.submit(self.scrape_page, scraper_input, page + pages_processed)
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for page in range(pages_to_process)
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]
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job_list += jobs
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for future in futures:
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jobs, _ = future.result()
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if jobs:
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job_list += jobs
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new_jobs = True
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if len(self.seen_urls) >= scraper_input.results_wanted:
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break
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if len(job_list) > scraper_input.results_wanted:
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job_list = job_list[: scraper_input.results_wanted]
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pages_processed += pages_to_process
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if not new_jobs:
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break
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if len(self.seen_urls) > scraper_input.results_wanted:
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job_list = job_list[:scraper_input.results_wanted]
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job_response = JobResponse(
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jobs=job_list,
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@ -261,6 +251,44 @@ class IndeedScraper(Scraper):
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job_types.append(job_type)
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return job_types
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@staticmethod
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def get_compensation(job: dict, job_detailed: dict) -> Compensation:
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"""
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Parses the job to get
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:param job:
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:param job_detailed:
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:return: compensation object
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"""
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comp = job_detailed['compensation']['baseSalary']
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if comp:
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interval = IndeedScraper.get_correct_interval(comp['unitOfWork'])
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if interval:
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return Compensation(
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interval=interval,
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min_amount=round(comp['range'].get('min'), 2) if comp['range'].get('min') is not None else None,
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max_amount=round(comp['range'].get('max'), 2) if comp['range'].get('max') is not None else None,
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currency=job_detailed['compensation']['currencyCode']
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)
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extracted_salary = job.get("extractedSalary")
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compensation = None
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if extracted_salary:
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salary_snippet = job.get("salarySnippet")
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currency = salary_snippet.get("currency") if salary_snippet else None
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interval = (extracted_salary.get("type"),)
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if isinstance(interval, tuple):
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interval = interval[0]
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interval = interval.upper()
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if interval in CompensationInterval.__members__:
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compensation = Compensation(
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interval=CompensationInterval[interval],
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min_amount=int(extracted_salary.get("min")),
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max_amount=int(extracted_salary.get("max")),
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currency=currency,
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)
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return compensation
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@staticmethod
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def parse_jobs(soup: BeautifulSoup) -> dict:
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"""
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@ -333,17 +361,6 @@ class IndeedScraper(Scraper):
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'referer': 'https://www.indeed.com/m/jobs?q=software%20intern&l=Dallas%2C%20TX&from=serpso&rq=1&rsIdx=3',
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}
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@staticmethod
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def is_remote_job(job: dict) -> bool:
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"""
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:param job:
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:return: bool
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"""
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for taxonomy in job.get("taxonomyAttributes", []):
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if taxonomy["label"] == "remote" and len(taxonomy["attributes"]) > 0:
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return True
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return False
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@staticmethod
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def add_params(scraper_input: ScraperInput, page: int) -> dict[str, str | Any]:
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params = {
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@ -369,3 +386,115 @@ class IndeedScraper(Scraper):
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params['iafilter'] = 1
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return params
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@staticmethod
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def is_job_remote(job: dict, job_detailed: dict, description: str) -> bool:
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remote_keywords = ['remote', 'work from home', 'wfh']
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is_remote_in_attributes = any(
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any(keyword in attr['label'].lower() for keyword in remote_keywords)
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for attr in job_detailed['attributes']
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)
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is_remote_in_description = any(keyword in description.lower() for keyword in remote_keywords)
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is_remote_in_location = any(
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keyword in job_detailed['location']['formatted']['long'].lower()
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for keyword in remote_keywords
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)
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is_remote_in_taxonomy = any(
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taxonomy["label"] == "remote" and len(taxonomy["attributes"]) > 0
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for taxonomy in job.get("taxonomyAttributes", [])
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)
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return is_remote_in_attributes or is_remote_in_description or is_remote_in_location
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@staticmethod
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def get_job_details(job_keys: list[str]) -> dict:
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"""
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Queries the GraphQL endpoint for detailed job information for the given job keys.
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"""
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url = "https://apis.indeed.com/graphql"
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headers = {
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'Host': 'apis.indeed.com',
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'content-type': 'application/json',
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'indeed-api-key': '161092c2017b5bbab13edb12461a62d5a833871e7cad6d9d475304573de67ac8',
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'accept': 'application/json',
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'indeed-locale': 'en-US',
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'accept-language': 'en-US,en;q=0.9',
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'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',
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'indeed-app-info': 'appv=193.1; appid=com.indeed.jobsearch; osv=16.6.1; os=ios; dtype=phone',
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'indeed-co': 'US',
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}
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job_keys_gql = '[' + ', '.join(f'"{key}"' for key in job_keys) + ']'
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payload = {
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"query": f"""
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query GetJobData {{
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jobData(input: {{
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jobKeys: {job_keys_gql}
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}}) {{
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results {{
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job {{
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key
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title
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description {{
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html
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}}
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location {{
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countryName
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countryCode
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city
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postalCode
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streetAddress
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formatted {{
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short
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long
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}}
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}}
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compensation {{
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baseSalary {{
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unitOfWork
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range {{
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... on Range {{
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min
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max
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}}
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}}
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}}
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currencyCode
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}}
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attributes {{
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label
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}}
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employer {{
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relativeCompanyPageUrl
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}}
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recruit {{
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viewJobUrl
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detailedSalary
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workSchedule
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}}
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}}
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}}
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}}
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}}
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"""
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}
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response = requests.post(url, headers=headers, json=payload)
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if response.status_code == 200:
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return response.json()['data']['jobData']['results']
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else:
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return {}
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@staticmethod
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def get_correct_interval(interval: str) -> CompensationInterval:
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interval_mapping = {
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"DAY": "DAILY",
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"YEAR": "YEARLY",
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"HOUR": "HOURLY",
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"WEEK": "WEEKLY",
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"MONTH": "MONTHLY"
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}
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mapped_interval = interval_mapping.get(interval.upper(), None)
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if mapped_interval and mapped_interval in CompensationInterval.__members__:
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return CompensationInterval[mapped_interval]
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else:
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raise ValueError(f"Unsupported interval: {interval}")
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