FEAT: Allow LinkedIn scraper to get external job apply url (#140)

pull/141/head^2
Lluís Salord Quetglas 2024-04-30 18:36:01 +02:00 committed by GitHub
parent 5d3df732e6
commit 8dd08ed9fd
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GPG Key ID: B5690EEEBB952194
6 changed files with 134 additions and 11 deletions

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@ -38,7 +38,8 @@ jobs = scrape_jobs(
location="Dallas, TX", location="Dallas, TX",
results_wanted=20, results_wanted=20,
hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old) hours_old=72, # (only Linkedin/Indeed is hour specific, others round up to days old)
country_indeed='USA' # only needed for indeed / glassdoor country_indeed='USA', # only needed for indeed / glassdoor
# linkedin_fetch_description=True # get full description and direct job url for linkedin (slower)
) )
print(f"Found {len(jobs)} jobs") print(f"Found {len(jobs)} jobs")
print(jobs.head()) print(jobs.head())
@ -70,7 +71,7 @@ Optional
├── is_remote (bool) ├── is_remote (bool)
├── results_wanted (int): number of job results to retrieve for each site specified in 'site_name' ├── results_wanted (int): number of job results to retrieve for each site specified in 'site_name'
├── easy_apply (bool): filters for jobs that are hosted on the job board site (LinkedIn & Indeed do not allow pairing this with hours_old) ├── easy_apply (bool): filters for jobs that are hosted on the job board site (LinkedIn & Indeed do not allow pairing this with hours_old)
├── linkedin_fetch_description (bool): fetches full description for LinkedIn (slower) ├── linkedin_fetch_description (bool): fetches full description and direct job url for LinkedIn (slower)
├── linkedin_company_ids (list[int]): searches for linkedin jobs with specific company ids ├── linkedin_company_ids (list[int]): searches for linkedin jobs with specific company ids
├── description_format (str): markdown, html (Format type of the job descriptions. Default is markdown.) ├── description_format (str): markdown, html (Format type of the job descriptions. Default is markdown.)
├── country_indeed (str): filters the country on Indeed (see below for correct spelling) ├── country_indeed (str): filters the country on Indeed (see below for correct spelling)

103
poetry.lock generated
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@ -1,4 +1,4 @@
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[[package]] [[package]]
name = "requests" name = "requests"
version = "2.31.0" version = "2.31.0"
@ -2652,4 +2751,4 @@ files = [
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.10" python-versions = "^3.10"
content-hash = "6ee18819a726314f61f20f0ed93b2db2a26c232269f045146d9a8f4e3f31eb01" content-hash = "39b730e5efb856178111bc6ca4bc68ad61e201e654a60c58fec2ecf8d77fc054"

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@ -1,6 +1,6 @@
[tool.poetry] [tool.poetry]
name = "python-jobspy" name = "python-jobspy"
version = "1.1.51" version = "1.1.52"
description = "Job scraper for LinkedIn, Indeed, Glassdoor & ZipRecruiter" description = "Job scraper for LinkedIn, Indeed, Glassdoor & ZipRecruiter"
authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"] authors = ["Zachary Hampton <zachary@bunsly.com>", "Cullen Watson <cullen@bunsly.com>"]
homepage = "https://github.com/Bunsly/JobSpy" homepage = "https://github.com/Bunsly/JobSpy"
@ -19,6 +19,7 @@ NUMPY = "1.24.2"
pydantic = "^2.3.0" pydantic = "^2.3.0"
tls-client = "^1.0.1" tls-client = "^1.0.1"
markdownify = "^0.11.6" markdownify = "^0.11.6"
regex = "^2024.4.28"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]

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@ -119,7 +119,7 @@ class IndeedScraper(Scraper):
) )
if response.status_code != 200: if response.status_code != 200:
logger.info( logger.info(
f"Indeed responded with status code: {response.status_code} (submit GitHub issue if this appears to be a beg)" f"Indeed responded with status code: {response.status_code} (submit GitHub issue if this appears to be a bug)"
) )
return jobs, new_cursor return jobs, new_cursor
data = response.json() data = response.json()

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@ -9,6 +9,8 @@ from __future__ import annotations
import time import time
import random import random
import regex as re
import urllib.parse
from typing import Optional from typing import Optional
from datetime import datetime from datetime import datetime
@ -51,6 +53,7 @@ class LinkedInScraper(Scraper):
super().__init__(Site(Site.LINKEDIN), proxy=proxy) super().__init__(Site(Site.LINKEDIN), proxy=proxy)
self.scraper_input = None self.scraper_input = None
self.country = "worldwide" self.country = "worldwide"
self.job_url_direct_regex = re.compile(r'(?<=\?url=)[^"]+')
def scrape(self, scraper_input: ScraperInput) -> JobResponse: def scrape(self, scraper_input: ScraperInput) -> JobResponse:
""" """
@ -194,16 +197,15 @@ class LinkedInScraper(Scraper):
if metadata_card if metadata_card
else None else None
) )
date_posted = description = job_type = None date_posted = description = job_type = job_url_direct = None
if datetime_tag and "datetime" in datetime_tag.attrs: if datetime_tag and "datetime" in datetime_tag.attrs:
datetime_str = datetime_tag["datetime"] datetime_str = datetime_tag["datetime"]
try: try:
date_posted = datetime.strptime(datetime_str, "%Y-%m-%d") date_posted = datetime.strptime(datetime_str, "%Y-%m-%d")
except: except:
date_posted = None date_posted = None
benefits_tag = job_card.find("span", class_="result-benefits__text")
if full_descr: if full_descr:
description, job_type = self._get_job_description(job_url) description, job_type, job_url_direct = self._get_job_description(job_url)
return JobPost( return JobPost(
title=title, title=title,
@ -212,6 +214,7 @@ class LinkedInScraper(Scraper):
location=location, location=location,
date_posted=date_posted, date_posted=date_posted,
job_url=job_url, job_url=job_url,
job_url_direct=job_url_direct,
compensation=compensation, compensation=compensation,
job_type=job_type, job_type=job_type,
description=description, description=description,
@ -220,7 +223,9 @@ class LinkedInScraper(Scraper):
def _get_job_description( def _get_job_description(
self, job_page_url: str self, job_page_url: str
) -> tuple[None, None] | tuple[str | None, tuple[str | None, JobType | None]]: ) -> tuple[None, None, None] | tuple[
str | None, tuple[str | None, JobType | None], str | None
]:
""" """
Retrieves job description by going to the job page url Retrieves job description by going to the job page url
:param job_page_url: :param job_page_url:
@ -253,7 +258,7 @@ class LinkedInScraper(Scraper):
description = div_content.prettify(formatter="html") description = div_content.prettify(formatter="html")
if self.scraper_input.description_format == DescriptionFormat.MARKDOWN: if self.scraper_input.description_format == DescriptionFormat.MARKDOWN:
description = markdown_converter(description) description = markdown_converter(description)
return description, self._parse_job_type(soup) return description, self._parse_job_type(soup), self._parse_job_url_direct(soup)
def _get_location(self, metadata_card: Optional[Tag]) -> Location: def _get_location(self, metadata_card: Optional[Tag]) -> Location:
""" """
@ -306,6 +311,23 @@ class LinkedInScraper(Scraper):
return [get_enum_from_job_type(employment_type)] if employment_type else [] return [get_enum_from_job_type(employment_type)] if employment_type else []
def _parse_job_url_direct(self, soup: BeautifulSoup) -> str | None:
"""
Gets the job url direct from job page
:param soup:
:return: str
"""
job_url_direct = None
job_url_direct_content = soup.find("code", id="applyUrl")
if job_url_direct_content:
job_url_direct_match = self.job_url_direct_regex.search(
job_url_direct_content.decode_contents().strip()
)
if job_url_direct_match:
job_url_direct = urllib.parse.unquote(job_url_direct_match.group())
return job_url_direct
@staticmethod @staticmethod
def job_type_code(job_type_enum: JobType) -> str: def job_type_code(job_type_enum: JobType) -> str:
return { return {

0
test.py Normal file
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