diff --git a/examples/JobSpy_AllSites.py b/examples/JobSpy_AllSites.py index 22deea0..ad43c29 100644 --- a/examples/JobSpy_AllSites.py +++ b/examples/JobSpy_AllSites.py @@ -27,4 +27,4 @@ print("outputted to jobs.csv") # jobs.to_xlsx('jobs.xlsx', index=False) # 4: display in Jupyter Notebook (1. pip install jupyter 2. jupyter notebook) -# display(jobs) \ No newline at end of file +# display(jobs) diff --git a/examples/JobSpy_LongScrape.py b/examples/JobSpy_LongScrape.py index 189ca81..d0ac0f8 100644 --- a/examples/JobSpy_LongScrape.py +++ b/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, # 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annotations +from abc import ABC, abstractmethod + from ..jobs import ( Enum, BaseModel, @@ -36,9 +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: ... diff --git a/src/jobspy/scrapers/linkedin/__init__.py b/src/jobspy/scrapers/linkedin/__init__.py index a72bced..385aead 100644 --- a/src/jobspy/scrapers/linkedin/__init__.py +++ b/src/jobspy/scrapers/linkedin/__init__.py @@ -197,15 +197,16 @@ class LinkedInScraper(Scraper): if metadata_card else None ) - date_posted = description = job_type = job_url_direct = 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 + job_details = {} if full_descr: - description, job_type, job_url_direct = self._get_job_description(job_url) + job_details = self._get_job_details(job_url) return JobPost( title=title, @@ -216,20 +217,18 @@ class LinkedInScraper(Scraper): job_url=job_url, job_url_direct=job_url_direct, 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, None] | tuple[ - str | None, tuple[str | None, JobType | None], str | 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) @@ -238,9 +237,9 @@ class LinkedInScraper(Scraper): ) 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( @@ -258,7 +257,14 @@ class LinkedInScraper(Scraper): 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), self._parse_job_url_direct(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: """