mirror of https://github.com/Bunsly/JobSpy
enh:remove log by default
Cullen Watson
parent
11a9e9a56a
commit
81ed9b3ddf
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@ -42,7 +42,7 @@ def scrape_jobs(
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offset: int | None = 0,
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hours_old: int = None,
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enforce_annual_salary: bool = False,
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verbose: int = 2,
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verbose: int = 0,
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**kwargs,
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) -> pd.DataFrame:
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"""
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@ -1,19 +1,22 @@
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"""
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jobspy.scrapers.bayt
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~~~~~~~~~~~~~~~~~~~
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This module contains routines to scrape Bayt.
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"""
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from __future__ import annotations
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import time
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import random
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from typing import Optional
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import time
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import requests
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from bs4 import BeautifulSoup
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from .. import Scraper, ScraperInput, Site
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from ..exceptions import BaytException
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from ..utils import create_logger, create_session
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from ...jobs import JobPost, JobResponse, Location, Country
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from ..utils import create_logger
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logger = create_logger("Bayt")
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logger.setLevel("DEBUG") # Ensure DEBUG messages are output
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log = create_logger("Bayt")
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class BaytScraper(Scraper):
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@ -26,10 +29,14 @@ class BaytScraper(Scraper):
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):
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super().__init__(Site.BAYT, proxies=proxies, ca_cert=ca_cert)
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self.scraper_input = None
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self.session = None
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self.country = "worldwide"
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def scrape(self, scraper_input: ScraperInput) -> JobResponse:
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self.scraper_input = scraper_input
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self.session = create_session(
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proxies=self.proxies, ca_cert=self.ca_cert, is_tls=False, has_retry=True
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)
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job_list: list[JobPost] = []
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page = 1
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results_wanted = (
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@ -37,13 +44,15 @@ class BaytScraper(Scraper):
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)
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while len(job_list) < results_wanted:
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logger.info(f"Fetching Bayt jobs page {page}")
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log.info(f"Fetching Bayt jobs page {page}")
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job_elements = self._fetch_jobs(self.scraper_input.search_term, page)
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if not job_elements:
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break
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if job_elements:
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logger.debug("First job element snippet:\n" + job_elements[0].prettify()[:500])
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log.debug(
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"First job element snippet:\n" + job_elements[0].prettify()[:500]
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)
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initial_count = len(job_list)
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for job in job_elements:
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@ -54,16 +63,16 @@ class BaytScraper(Scraper):
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if len(job_list) >= results_wanted:
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break
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else:
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logger.debug(
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log.debug(
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"Extraction returned None. Job snippet:\n"
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+ job.prettify()[:500]
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)
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except Exception as e:
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logger.error(f"Bayt: Error extracting job info: {str(e)}")
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log.error(f"Bayt: Error extracting job info: {str(e)}")
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continue
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if len(job_list) == initial_count:
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logger.info(f"No new jobs found on page {page}. Ending pagination.")
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log.info(f"No new jobs found on page {page}. Ending pagination.")
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break
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page += 1
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@ -72,45 +81,35 @@ class BaytScraper(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 _fetch_jobs(self, query: str, page: int = 1) -> Optional[list]:
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def _fetch_jobs(self, query: str, page: int) -> list | None:
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"""
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Grabs the job results for the given query and page number.
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"""
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try:
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# Updated URL to include the "international" segment as per the original code.
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url = f"{self.base_url}/en/international/jobs/{query}-jobs/?page={page}"
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logger.info(f"Constructed URL: {url}")
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headers = {
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"User-Agent": (
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"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
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"AppleWebKit/537.36 (KHTML, like Gecko) "
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"Chrome/115.0.0.0 Safari/537.36"
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)
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}
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response = requests.get(url, headers=headers, timeout=10)
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response = self.session.get(url)
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response.raise_for_status()
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soup = BeautifulSoup(response.text, "html.parser")
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# Use the attribute selector as in the original code.
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job_listings = soup.find_all("li", attrs={"data-js-job": ""})
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logger.info(f"Found {len(job_listings)} job listing elements")
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log.debug(f"Found {len(job_listings)} job listing elements")
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return job_listings
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except Exception as e:
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logger.error(f"Bayt: Error fetching jobs - {str(e)}")
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log.error(f"Bayt: Error fetching jobs - {str(e)}")
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return None
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def _extract_job_info(self, job: BeautifulSoup) -> Optional[JobPost]:
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def _extract_job_info(self, job: BeautifulSoup) -> JobPost | None:
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"""
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Extracts the job information from a single job listing.
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"""
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# Find the h2 element holding the title and link (no class filtering)
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job_general_information = job.find("h2")
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if not job_general_information:
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return None
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return
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job_title = job_general_information.get_text(strip=True)
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job_url = self._extract_job_url(job_general_information)
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if not job_url:
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return None
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return
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# Extract company name using the original approach:
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company_tag = job.find("div", class_="t-nowrap p10l")
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@ -129,31 +128,18 @@ class BaytScraper(Scraper):
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city=location,
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country=Country.from_string(self.country),
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)
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return JobPost(
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id=job_id,
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title=job_title,
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company_name=company_name,
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company_url="",
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location=location_obj,
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date_posted=None,
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job_url=job_url,
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compensation=None,
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job_type=None,
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job_level=None,
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company_industry=None,
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description=None,
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job_url_direct=None,
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emails=[],
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company_logo=None,
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job_function=None,
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)
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def _extract_job_url(self, job_general_information: BeautifulSoup) -> Optional[str]:
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def _extract_job_url(self, job_general_information: BeautifulSoup) -> str | None:
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"""
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Pulls the job URL from the 'a' within the h2 element.
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"""
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a_tag = job_general_information.find("a")
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if a_tag and a_tag.has_attr("href"):
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return self.base_url + a_tag["href"].strip()
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return None
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@ -30,6 +30,7 @@ class GoogleJobsException(Exception):
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def __init__(self, message=None):
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super().__init__(message or "An error occurred with Google Jobs")
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class BaytException(Exception):
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def __init__(self, message=None):
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super().__init__(message or "An error occurred with Bayt")
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@ -32,7 +32,7 @@ from ...jobs import (
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DescriptionFormat,
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)
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logger = create_logger("Glassdoor")
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log = create_logger("Glassdoor")
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class GlassdoorScraper(Scraper):
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@ -64,7 +64,7 @@ class GlassdoorScraper(Scraper):
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self.base_url = self.scraper_input.country.get_glassdoor_url()
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self.session = create_session(
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proxies=self.proxies, ca_cert=self.ca_cert, is_tls=True, has_retry=True
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proxies=self.proxies, ca_cert=self.ca_cert, has_retry=True
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)
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token = self._get_csrf_token()
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headers["gd-csrf-token"] = token if token else fallback_token
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@ -74,7 +74,7 @@ class GlassdoorScraper(Scraper):
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scraper_input.location, scraper_input.is_remote
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)
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if location_type is None:
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logger.error("Glassdoor: location not parsed")
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log.error("Glassdoor: location not parsed")
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return JobResponse(jobs=[])
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job_list: list[JobPost] = []
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cursor = None
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@ -83,7 +83,7 @@ class GlassdoorScraper(Scraper):
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tot_pages = (scraper_input.results_wanted // self.jobs_per_page) + 2
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range_end = min(tot_pages, self.max_pages + 1)
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for page in range(range_start, range_end):
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logger.info(f"search page: {page} / {range_end-1}")
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log.info(f"search page: {page} / {range_end - 1}")
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try:
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jobs, cursor = self._fetch_jobs_page(
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scraper_input, location_id, location_type, page, cursor
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@ -93,7 +93,7 @@ class GlassdoorScraper(Scraper):
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job_list = job_list[: scraper_input.results_wanted]
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break
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except Exception as e:
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logger.error(f"Glassdoor: {str(e)}")
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log.error(f"Glassdoor: {str(e)}")
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break
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return JobResponse(jobs=job_list)
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@ -129,7 +129,7 @@ class GlassdoorScraper(Scraper):
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ValueError,
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Exception,
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) as e:
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logger.error(f"Glassdoor: {str(e)}")
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log.error(f"Glassdoor: {str(e)}")
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return jobs, None
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jobs_data = res_json["data"]["jobListings"]["jobListings"]
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@ -264,12 +264,12 @@ class GlassdoorScraper(Scraper):
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if res.status_code != 200:
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if res.status_code == 429:
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err = f"429 Response - Blocked by Glassdoor for too many requests"
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logger.error(err)
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log.error(err)
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return None, None
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else:
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err = f"Glassdoor response status code {res.status_code}"
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err += f" - {res.text}"
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logger.error(f"Glassdoor response status code {res.status_code}")
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log.error(f"Glassdoor response status code {res.status_code}")
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return None, None
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items = res.json()
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@ -26,7 +26,7 @@ from ...jobs import (
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JobType,
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)
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logger = create_logger("Google")
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log = create_logger("Google")
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class GoogleJobsScraper(Scraper):
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@ -61,7 +61,7 @@ class GoogleJobsScraper(Scraper):
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)
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forward_cursor, job_list = self._get_initial_cursor_and_jobs()
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if forward_cursor is None:
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logger.warning(
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log.warning(
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"initial cursor not found, try changing your query or there was at most 10 results"
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)
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return JobResponse(jobs=job_list)
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@ -72,16 +72,16 @@ class GoogleJobsScraper(Scraper):
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len(self.seen_urls) < scraper_input.results_wanted + scraper_input.offset
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and forward_cursor
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):
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logger.info(
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log.info(
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f"search page: {page} / {math.ceil(scraper_input.results_wanted / self.jobs_per_page)}"
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)
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try:
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jobs, forward_cursor = self._get_jobs_next_page(forward_cursor)
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except Exception as e:
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logger.error(f"failed to get jobs on page: {page}, {e}")
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log.error(f"failed to get jobs on page: {page}, {e}")
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break
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if not jobs:
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logger.info(f"found no jobs on page: {page}")
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log.info(f"found no jobs on page: {page}")
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break
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job_list += jobs
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page += 1
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@ -230,10 +230,7 @@ class GoogleJobsScraper(Scraper):
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@staticmethod
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def _find_job_info_initial_page(html_text: str):
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pattern = (
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f'520084652":('
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+ r"\[.*?\]\s*])\s*}\s*]\s*]\s*]\s*]\s*]"
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)
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pattern = f'520084652":(' + r"\[.*?\]\s*])\s*}\s*]\s*]\s*]\s*]\s*]"
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results = []
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matches = re.finditer(pattern, html_text)
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@ -245,6 +242,6 @@ class GoogleJobsScraper(Scraper):
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results.append(parsed_data)
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except json.JSONDecodeError as e:
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logger.error(f"Failed to parse match: {str(e)}")
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log.error(f"Failed to parse match: {str(e)}")
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results.append({"raw_match": match.group(0), "error": str(e)})
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return results
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@ -30,7 +30,7 @@ from ...jobs import (
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DescriptionFormat,
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)
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logger = create_logger("Indeed")
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log = create_logger("Indeed")
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class IndeedScraper(Scraper):
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@ -71,12 +71,12 @@ class IndeedScraper(Scraper):
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cursor = None
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while len(self.seen_urls) < scraper_input.results_wanted + scraper_input.offset:
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logger.info(
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log.info(
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f"search page: {page} / {math.ceil(scraper_input.results_wanted / self.jobs_per_page)}"
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)
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jobs, cursor = self._scrape_page(cursor)
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if not jobs:
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logger.info(f"found no jobs on page: {page}")
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log.info(f"found no jobs on page: {page}")
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break
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job_list += jobs
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page += 1
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@ -122,9 +122,10 @@ class IndeedScraper(Scraper):
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headers=api_headers_temp,
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json=payload,
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timeout=10,
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verify=False,
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)
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if not response.ok:
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logger.info(
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log.info(
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f"responded with status code: {response.status_code} (submit GitHub issue if this appears to be a bug)"
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)
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return jobs, new_cursor
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@ -38,7 +38,7 @@ from ..utils import (
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markdown_converter,
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)
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logger = create_logger("LinkedIn")
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log = create_logger("LinkedIn")
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class LinkedInScraper(Scraper):
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@ -86,7 +86,7 @@ class LinkedInScraper(Scraper):
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)
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while continue_search():
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request_count += 1
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logger.info(
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log.info(
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f"search page: {request_count} / {math.ceil(scraper_input.results_wanted / 10)}"
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)
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params = {
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@ -126,13 +126,13 @@ class LinkedInScraper(Scraper):
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else:
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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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log.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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log.error(f"LinkedIn: Bad proxy")
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else:
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logger.error(f"LinkedIn: {str(e)}")
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log.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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@ -1,17 +1,20 @@
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from __future__ import annotations
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import re
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import logging
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import re
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from itertools import cycle
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import numpy as np
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import requests
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import tls_client
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import numpy as np
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import urllib3
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from markdownify import markdownify as md
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from requests.adapters import HTTPAdapter, Retry
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from ..jobs import CompensationInterval, JobType
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urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
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def create_logger(name: str):
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logger = logging.getLogger(f"JobSpy:{name}")
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@ -129,7 +132,7 @@ def create_session(
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return session
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def set_logger_level(verbose: int = 2):
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def set_logger_level(verbose: int):
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"""
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Adjusts the logger's level. This function allows the logging level to be changed at runtime.
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|
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@ -11,11 +11,10 @@ import json
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import math
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import re
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import time
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from concurrent.futures import ThreadPoolExecutor
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from datetime import datetime
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from typing import Optional, Tuple, Any
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from concurrent.futures import ThreadPoolExecutor
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from bs4 import BeautifulSoup
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from .constants import headers
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@ -37,7 +36,7 @@ from ...jobs import (
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DescriptionFormat,
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)
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logger = create_logger("ZipRecruiter")
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log = create_logger("ZipRecruiter")
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class ZipRecruiterScraper(Scraper):
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@ -77,7 +76,7 @@ class ZipRecruiterScraper(Scraper):
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break
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if page > 1:
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time.sleep(self.delay)
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logger.info(f"search page: {page} / {max_pages}")
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log.info(f"search page: {page} / {max_pages}")
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jobs_on_page, continue_token = self._find_jobs_in_page(
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scraper_input, continue_token
|
||||
)
|
||||
|
|
@ -110,13 +109,13 @@ class ZipRecruiterScraper(Scraper):
|
|||
else:
|
||||
err = f"ZipRecruiter response status code {res.status_code}"
|
||||
err += f" with response: {res.text}" # ZipRecruiter likely not available in EU
|
||||
logger.error(err)
|
||||
log.error(err)
|
||||
return jobs_list, ""
|
||||
except Exception as e:
|
||||
if "Proxy responded with" in str(e):
|
||||
logger.error(f"Indeed: Bad proxy")
|
||||
log.error(f"Indeed: Bad proxy")
|
||||
else:
|
||||
logger.error(f"Indeed: {str(e)}")
|
||||
log.error(f"Indeed: {str(e)}")
|
||||
return jobs_list, ""
|
||||
|
||||
res_data = res.json()
|
||||
|
|
@ -215,7 +214,28 @@ class ZipRecruiterScraper(Scraper):
|
|||
return description_full, job_url_direct
|
||||
|
||||
def _get_cookies(self):
|
||||
data = "event_type=session&logged_in=false&number_of_retry=1&property=model%3AiPhone&property=os%3AiOS&property=locale%3Aen_us&property=app_build_number%3A4734&property=app_version%3A91.0&property=manufacturer%3AApple&property=timestamp%3A2024-01-12T12%3A04%3A42-06%3A00&property=screen_height%3A852&property=os_version%3A16.6.1&property=source%3Ainstall&property=screen_width%3A393&property=device_model%3AiPhone%2014%20Pro&property=brand%3AApple"
|
||||
"""
|
||||
Sends a session event to the API with device properties.
|
||||
"""
|
||||
data = [
|
||||
("event_type", "session"),
|
||||
("logged_in", "false"),
|
||||
("number_of_retry", "1"),
|
||||
("property", "model:iPhone"),
|
||||
("property", "os:iOS"),
|
||||
("property", "locale:en_us"),
|
||||
("property", "app_build_number:4734"),
|
||||
("property", "app_version:91.0"),
|
||||
("property", "manufacturer:Apple"),
|
||||
("property", "timestamp:2025-01-12T12:04:42-06:00"),
|
||||
("property", "screen_height:852"),
|
||||
("property", "os_version:16.6.1"),
|
||||
("property", "source:install"),
|
||||
("property", "screen_width:393"),
|
||||
("property", "device_model:iPhone 14 Pro"),
|
||||
("property", "brand:Apple"),
|
||||
]
|
||||
|
||||
url = f"{self.api_url}/jobs-app/event"
|
||||
self.session.post(url, data=data)
|
||||
|
||||
|
|
|
|||
|
|
@ -1,18 +0,0 @@
|
|||
from jobspy import scrape_jobs
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def test_all():
|
||||
sites = [
|
||||
"indeed",
|
||||
"glassdoor",
|
||||
] # ziprecruiter/linkedin needs good ip, and temp fix to pass test on ci
|
||||
result = scrape_jobs(
|
||||
site_name=sites,
|
||||
search_term="engineer",
|
||||
results_wanted=5,
|
||||
)
|
||||
|
||||
assert (
|
||||
isinstance(result, pd.DataFrame) and len(result) == len(sites) * 5
|
||||
), "Result should be a non-empty DataFrame"
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
from jobspy import scrape_jobs
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def test_glassdoor():
|
||||
result = scrape_jobs(
|
||||
site_name="glassdoor",
|
||||
search_term="engineer",
|
||||
results_wanted=5,
|
||||
)
|
||||
assert (
|
||||
isinstance(result, pd.DataFrame) and len(result) == 5
|
||||
), "Result should be a non-empty DataFrame"
|
||||
|
|
@ -1,12 +0,0 @@
|
|||
from jobspy import scrape_jobs
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def test_google():
|
||||
result = scrape_jobs(
|
||||
site_name="google", search_term="software engineer", results_wanted=5
|
||||
)
|
||||
|
||||
assert (
|
||||
isinstance(result, pd.DataFrame) and len(result) == 5
|
||||
), "Result should be a non-empty DataFrame"
|
||||
|
|
@ -1,13 +0,0 @@
|
|||
from jobspy import scrape_jobs
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def test_indeed():
|
||||
result = scrape_jobs(
|
||||
site_name="indeed",
|
||||
search_term="engineer",
|
||||
results_wanted=5,
|
||||
)
|
||||
assert (
|
||||
isinstance(result, pd.DataFrame) and len(result) == 5
|
||||
), "Result should be a non-empty DataFrame"
|
||||
|
|
@ -1,9 +0,0 @@
|
|||
from jobspy import scrape_jobs
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def test_linkedin():
|
||||
result = scrape_jobs(site_name="linkedin", search_term="engineer", results_wanted=5)
|
||||
assert (
|
||||
isinstance(result, pd.DataFrame) and len(result) == 5
|
||||
), "Result should be a non-empty DataFrame"
|
||||
|
|
@ -1,12 +0,0 @@
|
|||
from jobspy import scrape_jobs
|
||||
import pandas as pd
|
||||
|
||||
|
||||
def test_ziprecruiter():
|
||||
result = scrape_jobs(
|
||||
site_name="zip_recruiter", search_term="software engineer", results_wanted=5
|
||||
)
|
||||
|
||||
assert (
|
||||
isinstance(result, pd.DataFrame) and len(result) == 5
|
||||
), "Result should be a non-empty DataFrame"
|
||||
Loading…
Reference in New Issue