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Job Listing Fetcher - Quick Start

30-Second Setup

# Already installed - just run it!
python fetch_job_listing.py

Common Tasks

Fetch a Single Job Listing

from fetch_job_listing import fetch_job_listing

url = "https://example.com/job-listing"
filepath = fetch_job_listing(url)
print(f"Saved to: {filepath}")

Fetch Multiple Job Listings

from fetch_job_listing import fetch_job_listing

urls = [
    "https://example.com/job1",
    "https://example.com/job2",
    "https://example.com/job3",
]

for url in urls:
    try:
        filepath = fetch_job_listing(url)
        print(f"✓ {filepath}")
    except Exception as e:
        print(f"✗ Failed: {e}")

Save to Custom Directory

from fetch_job_listing import fetch_job_listing

filepath = fetch_job_listing(url, output_dir="data/job_listings")

Fetch from Indeed (Requires Selenium)

# Step 1: Install Selenium
pip install selenium

# Step 2: Download ChromeDriver
# Visit: https://chromedriver.chromium.org/
# Download version matching your Chrome browser

# Step 3: Use Selenium method
python -c "
from fetch_job_listing import fetch_job_listing_selenium
url = 'https://www.indeed.com/?from=gnav-viewjob&advn=100919326538784&vjk=fcd29f6d7f5168f9'
fetch_job_listing_selenium(url)
"

Output

The script creates markdown files in the job_listings/ directory:

job_listings/
├── Senior_Software_Engineer.md
├── Product_Manager.md
└── Data_Scientist.md

Each file contains:

# Job Title

**Company:** Company Name

**Location:** City, State

---

Job description...

Troubleshooting

Problem Solution
403 Forbidden Use Selenium method or try a different job site
Module not found Run pip install requests beautifulsoup4
ChromeDriver not found Download from https://chromedriver.chromium.org/
No job content extracted The website structure may be different - inspect HTML

File Locations

  • Main script: fetch_job_listing.py
  • Examples: example_fetch_job_listings.py
  • Full guide: JOB_LISTING_FETCHER_GUIDE.md
  • Summary: JOB_FETCHER_SUMMARY.md

API Reference

fetch_job_listing(url, output_dir="job_listings")

Fetch a job listing using requests + BeautifulSoup.

Parameters:

  • url (str): Job listing URL
  • output_dir (str): Output directory (default: "job_listings")

Returns:

  • str: Path to saved markdown file

Raises:

  • requests.exceptions.HTTPError: If HTTP request fails
  • requests.exceptions.RequestException: If network error occurs

fetch_job_listing_selenium(url, output_dir="job_listings")

Fetch a job listing using Selenium (requires installation).

Parameters:

  • url (str): Job listing URL
  • output_dir (str): Output directory (default: "job_listings")

Returns:

  • str: Path to saved markdown file

Raises:

  • ImportError: If Selenium not installed
  • Exception: If browser automation fails

Supported Job Sites

✓ Works well with:

  • LinkedIn Jobs
  • GitHub Jobs
  • Stack Overflow Jobs
  • Company career pages
  • Generic job boards

⚠️ Requires Selenium:

  • Indeed.com
  • Other sites with anti-bot protection

Tips & Tricks

  1. Batch Processing: Use a loop to fetch multiple listings
  2. Error Handling: Wrap calls in try-except blocks
  3. Rate Limiting: Add delays between requests
  4. Custom Parsing: Modify extraction logic for specific sites
  5. Integration: Use with your resume tailor system

Next Steps

  1. Read JOB_LISTING_FETCHER_GUIDE.md for detailed documentation
  2. Check example_fetch_job_listings.py for more examples
  3. Customize the script for your specific needs
  4. Integrate with your resume tailoring workflow

Support

For detailed help, see:

  • JOB_LISTING_FETCHER_GUIDE.md - Full documentation
  • example_fetch_job_listings.py - Code examples
  • JOB_FETCHER_SUMMARY.md - Implementation details