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indeed.py
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indeed.py
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import requests
from bs4 import BeautifulSoup
LIMIT = 50
URL = f"https://www.indeed.com/jobs?q=machine+learning&limit={LIMIT}"
def get_last_page():
result = requests.get(URL)
soup = BeautifulSoup(result.text, "html.parser")
pagination = soup.find("div",{"class":"pagination"})
links = pagination.find_all('a')
pages = []
for link in links[:-1]:
pages.append(int(link.string))
max_page = max(pages)
return max_page
def extract_jobs(html):
title = html.find('h2').find('a')["title"]
company = html.find("span", {"class": "company"})
if company:
company_ancor = company.find("a")
if company_ancor is not None:
company = str(company.find("a").string)
else:
company = str(company.string)
company = company.strip()
else:
company = None
location = html.find("div", {"class": "recJobLoc"})['data-rc-loc']
job_id = html['data-jk']
return {'title':title, 'company':company, 'location':location,'link':f"https://www.indeed.com/viewjob?jk={job_id}"}
def get_jobs(last_pages):
jobs = []
for page in range(last_pages):
print(f"Scrapping page {page}")
result = requests.get(f"{URL}&start={page*LIMIT}")
soup = BeautifulSoup(result.text, "html.parser")
job_results = soup.find_all("div", {"class": "jobsearch-SerpJobCard"})
for job_result in job_results:
job = extract_jobs(job_result)
jobs.append(job)
return jobs
def get_whole_jobs():
last_page = get_last_page()
jobs = get_jobs(last_page)
return jobs