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  • How to scrape job listings from a recruitment website?

    Posted by Minik Hamid on 12/18/2024 at 7:09 am

    Scraping job listings is a valuable way to gather data about job trends and opportunities. Recruitment websites often have structured data for job titles, descriptions, locations, and salaries, making them suitable for scraping. Begin by inspecting the site’s HTML to identify patterns in the job postings. For static sites, libraries like BeautifulSoup are effective. However, for sites with dynamic content or infinite scrolling, Selenium or Puppeteer may be needed to load and extract all job postings.
    Here’s an example of scraping job listings using BeautifulSoup:

    import requests
    from bs4 import BeautifulSoup
    url = "https://example.com/jobs"
    headers = {"User-Agent": "Mozilla/5.0"}
    response = requests.get(url, headers=headers)
    if response.status_code == 200:
        soup = BeautifulSoup(response.content, "html.parser")
        jobs = soup.find_all("div", class_="job-listing")
        for job in jobs:
            title = job.find("h3", class_="job-title").text.strip()
            location = job.find("span", class_="job-location").text.strip()
            print(f"Title: {title}, Location: {location}")
    else:
        print("Failed to fetch job listings.")
    

    For sites with advanced features like filters or search options, browser automation tools are helpful. It’s also important to include proper error handling and respect the website’s terms of use. How do you manage scraping when job listings are spread across multiple pages?

    Keti Dilnaz replied 16 hours, 12 minutes ago 4 Members · 3 Replies
  • 3 Replies
  • Gualtiero Wahyudi

    Member
    12/25/2024 at 7:58 am

    I manage pagination by detecting and following the “Next Page” button until no more pages are available. This ensures I capture all job listings without missing any.

  • Gala Alexander

    Member
    01/07/2025 at 6:01 am

    For dynamically loaded job listings, I use Puppeteer to simulate scrolling and load additional content. It’s slower but ensures complete data extraction.

  • Keti Dilnaz

    Member
    01/21/2025 at 12:58 pm

    Storing job listings in a structured database allows me to track trends over time and makes the data easy to analyze and filter.

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