mirror of https://github.com/Bunsly/JobSpy
format: jobspy/scrapers/linkedin
VitaminB16
parent
0654232db4
commit
2e421ff4e2
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@ -4,6 +4,7 @@ jobspy.scrapers.linkedin
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This module contains routines to scrape LinkedIn.
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"""
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from __future__ import annotations
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import time
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@ -26,14 +27,14 @@ from ...jobs import (
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JobType,
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Country,
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Compensation,
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DescriptionFormat
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DescriptionFormat,
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)
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from ..utils import (
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logger,
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extract_emails_from_text,
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get_enum_from_job_type,
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currency_parser,
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markdown_converter
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markdown_converter,
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)
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@ -63,26 +64,32 @@ class LinkedInScraper(Scraper):
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url_lock = Lock()
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page = scraper_input.offset // 25 + 25 if scraper_input.offset else 0
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seconds_old = (
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scraper_input.hours_old * 3600
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if scraper_input.hours_old
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else None
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scraper_input.hours_old * 3600 if scraper_input.hours_old else None
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)
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continue_search = (
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lambda: len(job_list) < scraper_input.results_wanted and page < 1000
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)
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continue_search = lambda: len(job_list) < scraper_input.results_wanted and page < 1000
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while continue_search():
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logger.info(f'LinkedIn search page: {page // 25 + 1}')
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logger.info(f"LinkedIn search page: {page // 25 + 1}")
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session = create_session(is_tls=False, has_retry=True, delay=5)
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params = {
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"keywords": scraper_input.search_term,
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"location": scraper_input.location,
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"distance": scraper_input.distance,
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"f_WT": 2 if scraper_input.is_remote else None,
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"f_JT": self.job_type_code(scraper_input.job_type)
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"f_JT": (
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self.job_type_code(scraper_input.job_type)
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if scraper_input.job_type
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else None,
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else None
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),
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"pageNum": 0,
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"start": page + scraper_input.offset,
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"f_AL": "true" if scraper_input.easy_apply else None,
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"f_C": ','.join(map(str, scraper_input.linkedin_company_ids)) if scraper_input.linkedin_company_ids else None,
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"f_C": (
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",".join(map(str, scraper_input.linkedin_company_ids))
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if scraper_input.linkedin_company_ids
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else None
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),
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}
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if seconds_old is not None:
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params["f_TPR"] = f"r{seconds_old}"
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@ -99,15 +106,19 @@ class LinkedInScraper(Scraper):
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)
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if response.status_code not in range(200, 400):
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if response.status_code == 429:
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logger.error(f'429 Response - Blocked by LinkedIn for too many requests')
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err = (
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f"429 Response - Blocked by LinkedIn for too many requests"
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)
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else:
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logger.error(f'LinkedIn response status code {response.status_code}')
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err = f"LinkedIn response status code {response.status_code}"
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err += f" - {response.text}"
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logger.error(err)
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return JobResponse(jobs=job_list)
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except Exception as e:
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if "Proxy responded with" in str(e):
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logger.error(f'LinkedIn: Bad proxy')
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logger.error(f"LinkedIn: Bad proxy")
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else:
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logger.error(f'LinkedIn: {str(e)}')
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logger.error(f"LinkedIn: {str(e)}")
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return JobResponse(jobs=job_list)
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soup = BeautifulSoup(response.text, "html.parser")
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@ -128,7 +139,8 @@ class LinkedInScraper(Scraper):
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continue
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seen_urls.add(job_url)
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try:
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job_post = self._process_job(job_card, job_url, scraper_input.linkedin_fetch_description)
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fetch_desc = scraper_input.linkedin_fetch_description
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job_post = self._process_job(job_card, job_url, fetch_desc)
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if job_post:
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job_list.append(job_post)
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if not continue_search():
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@ -143,8 +155,10 @@ class LinkedInScraper(Scraper):
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job_list = job_list[: scraper_input.results_wanted]
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return JobResponse(jobs=job_list)
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def _process_job(self, job_card: Tag, job_url: str, full_descr: bool) -> Optional[JobPost]:
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salary_tag = job_card.find('span', class_='job-search-card__salary-info')
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def _process_job(
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self, job_card: Tag, job_url: str, full_descr: bool
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) -> Optional[JobPost]:
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salary_tag = job_card.find("span", class_="job-search-card__salary-info")
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compensation = None
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if salary_tag:
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@ -214,7 +228,9 @@ class LinkedInScraper(Scraper):
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"""
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try:
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session = create_session(is_tls=False, has_retry=True)
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response = session.get(job_page_url, headers=self.headers, timeout=5, proxies=self.proxy)
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response = session.get(
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job_page_url, headers=self.headers, timeout=5, proxies=self.proxy
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)
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response.raise_for_status()
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except:
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return None, None
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@ -227,10 +243,12 @@ class LinkedInScraper(Scraper):
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)
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description = None
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if div_content is not None:
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def remove_attributes(tag):
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for attr in list(tag.attrs):
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del tag[attr]
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return tag
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div_content = remove_attributes(div_content)
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description = div_content.prettify(formatter="html")
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if self.scraper_input.description_format == DescriptionFormat.MARKDOWN:
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@ -259,11 +277,8 @@ class LinkedInScraper(Scraper):
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)
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elif len(parts) == 3:
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city, state, country = parts
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location = Location(
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city=city,
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state=state,
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country=Country.from_string(country)
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)
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country = Country.from_string(country)
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location = Location(city=city, state=state, country=country)
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return location
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@staticmethod
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