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Library Migration (#31)
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Zachary Hampton
GitHub
301
jobscrape/core/scrapers/indeed/__init__.py
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301
jobscrape/core/scrapers/indeed/__init__.py
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import re
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import sys
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import math
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import json
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from datetime import datetime
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from typing import Optional, Tuple, List
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import tls_client
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import urllib.parse
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from bs4 import BeautifulSoup
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from bs4.element import Tag
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from concurrent.futures import ThreadPoolExecutor, Future
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from ...jobs import JobPost, Compensation, CompensationInterval, Location, JobResponse, JobType
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from .. import Scraper, ScraperInput, Site, StatusException
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class ParsingException(Exception):
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pass
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class IndeedScraper(Scraper):
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def __init__(self):
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"""
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Initializes IndeedScraper with the Indeed job search url
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"""
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site = Site(Site.INDEED)
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url = "https://www.indeed.com"
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super().__init__(site, url)
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self.jobs_per_page = 15
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self.seen_urls = set()
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def scrape_page(
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self, scraper_input: ScraperInput, page: int, session: tls_client.Session
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) -> tuple[list[JobPost], int]:
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"""
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Scrapes a page of Indeed for jobs with scraper_input criteria
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:param scraper_input:
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:param page:
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:param session:
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:return: jobs found on page, total number of jobs found for search
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"""
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job_list = []
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params = {
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"q": scraper_input.search_term,
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"l": scraper_input.location,
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"radius": scraper_input.distance,
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"filter": 0,
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"start": 0 + page * 10,
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}
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sc_values = []
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if scraper_input.is_remote:
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sc_values.append("attr(DSQF7)")
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if scraper_input.job_type:
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sc_values.append("jt({})".format(scraper_input.job_type.value))
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if sc_values:
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params["sc"] = "0kf:" + "".join(sc_values) + ";"
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response = session.get(self.url + "/jobs", params=params)
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if (
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response.status_code != 200
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and response.status_code != 307
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):
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raise StatusException(response.status_code)
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soup = BeautifulSoup(response.content, "html.parser")
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if "did not match any jobs" in str(soup):
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raise ParsingException("Search did not match any 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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.get("mosaicProviderJobCardsModel", {})
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.get("results")
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):
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raise Exception("No jobs found.")
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def process_job(job) -> Optional[JobPost]:
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job_url = f'{self.url}/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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snippet_html = BeautifulSoup(job["snippet"], "html.parser")
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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("max")),
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max_amount=int(extracted_salary.get("min")),
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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, session)
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li_elements = snippet_html.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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first_li = snippet_html.find("li")
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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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location=Location(
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city=job.get("jobLocationCity"),
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state=job.get("jobLocationState"),
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),
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job_type=job_type,
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compensation=compensation,
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date_posted=date_posted,
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job_url=job_url_client,
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)
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return job_post
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with ThreadPoolExecutor(max_workers=10) as executor:
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job_results: list[Future] = [executor.submit(process_job, job) for job in
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jobs["metaData"]["mosaicProviderJobCardsModel"]["results"]]
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job_list = [result.result() for result in job_results if result.result()]
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return job_list, total_num_jobs
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def scrape(self, scraper_input: ScraperInput) -> JobResponse:
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"""
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Scrapes Indeed for jobs with scraper_input criteria
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:param scraper_input:
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:return: job_response
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"""
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session = tls_client.Session(
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client_identifier="chrome112", random_tls_extension_order=True
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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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try:
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#: get first page to initialize session
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job_list, total_results = self.scrape_page(scraper_input, 0, session)
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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, session)
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for page in range(1, pages_to_process + 1)
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]
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for future in futures:
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jobs, _ = future.result()
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job_list += jobs
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except StatusException as e:
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return JobResponse(
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success=False,
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error=f"Indeed returned status code {e.status_code}",
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)
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except ParsingException as e:
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return JobResponse(
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success=False,
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error=f"Indeed failed to parse response: {e}",
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)
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except Exception as e:
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return JobResponse(
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success=False,
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error=f"Indeed failed to scrape: {e}",
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)
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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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job_response = JobResponse(
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success=True,
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jobs=job_list,
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total_results=total_results,
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)
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return job_response
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def get_description(self, job_page_url: str, session: tls_client.Session) -> str:
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"""
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Retrieves job description by going to the job page url
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:param job_page_url:
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:param session:
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:return: description
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"""
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parsed_url = urllib.parse.urlparse(job_page_url)
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params = urllib.parse.parse_qs(parsed_url.query)
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jk_value = params.get("jk", [None])[0]
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formatted_url = f"{self.url}/viewjob?jk={jk_value}&spa=1"
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response = session.get(formatted_url, allow_redirects=True)
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if response.status_code not in range(200, 400):
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return None
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raw_description = response.json()["body"]["jobInfoWrapperModel"][
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"jobInfoModel"
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]["sanitizedJobDescription"]
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soup = BeautifulSoup(raw_description, "html.parser")
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text_content = " ".join(soup.get_text().split()).strip()
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return text_content
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@staticmethod
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def get_job_type(job: dict) -> Optional[JobType]:
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"""
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Parses the job to get JobTypeIndeed
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:param job:
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:return:
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"""
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for taxonomy in job["taxonomyAttributes"]:
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if taxonomy["label"] == "job-types":
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if len(taxonomy["attributes"]) > 0:
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job_type_str = (
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taxonomy["attributes"][0]["label"]
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.replace("-", "_")
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.replace(" ", "_")
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.upper()
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)
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return JobType[job_type_str]
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return None
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@staticmethod
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def parse_jobs(soup: BeautifulSoup) -> dict:
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"""
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Parses the jobs from the soup object
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:param soup:
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:return: jobs
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"""
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def find_mosaic_script() -> Optional[Tag]:
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"""
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Finds jobcards script tag
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:return: script_tag
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"""
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script_tags = soup.find_all("script")
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for tag in script_tags:
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if (
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tag.string
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and "mosaic.providerData" in tag.string
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and "mosaic-provider-jobcards" in tag.string
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):
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return tag
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return None
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script_tag = find_mosaic_script()
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if script_tag:
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script_str = script_tag.string
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pattern = r'window.mosaic.providerData\["mosaic-provider-jobcards"\]\s*=\s*({.*?});'
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p = re.compile(pattern, re.DOTALL)
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m = p.search(script_str)
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if m:
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jobs = json.loads(m.group(1).strip())
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return jobs
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else:
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raise ParsingException("Could not find mosaic provider job cards data")
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else:
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raise ParsingException(
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"Could not find a script tag containing mosaic provider data"
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)
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@staticmethod
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def total_jobs(soup: BeautifulSoup) -> int:
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"""
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Parses the total jobs for that search from soup object
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:param soup:
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:return: total_num_jobs
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"""
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script = soup.find("script", string=lambda t: "window._initialData" in t)
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pattern = re.compile(r"window._initialData\s*=\s*({.*})\s*;", re.DOTALL)
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match = pattern.search(script.string)
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total_num_jobs = 0
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if match:
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json_str = match.group(1)
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data = json.loads(json_str)
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total_num_jobs = int(data["searchTitleBarModel"]["totalNumResults"])
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return total_num_jobs
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