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Glassdoor.com Scraper

This scraper is using scrapfly.io and Python to scrape job listing data from Glassdoor.com.

Full tutorial https://scrapfly.io/blog/how-to-scrape-glassdoor/

The scraping code is located in the glassdoor.py file. It's fully documented and simplified for educational purposes and the example scraper run code can be found in run.py file.

This scraper scrapes:

  • Glassdoor company salary data
  • Glassdoor company review data
  • Glassdoor company job listing data

For output examples see the ./results directory.

Fair Use Disclaimer

Note that this code is provided free of charge as is, and Scrapfly does not provide free web scraping support or consultation. For any bugs, see the issue tracker.

Setup and Use

This Glassdoor.com scraper uses Python 3.10 with scrapfly-sdk package which is used to scrape and parse Glassdoor's data.

  1. Ensure you have Python 3.10 and poetry Python package manager on your system.
  2. Retrieve your Scrapfly API key from https://scrapfly.io/dashboard and set SCRAPFLY_KEY environment variable:
    $ export SCRAPFLY_KEY="YOUR SCRAPFLY KEY"
  3. Clone and install Python environment:
    $ git clone https://github.com/scrapfly/scrapfly-scrapers.git
    $ cd scrapfly-scrapers/glassdoor-scraper
    $ poetry install
  4. Run example scrape:
    $ poetry run python run.py
  5. Run tests:
    $ poetry install --with dev
    $ poetry run pytest test.py
    # or specific scraping areas
    $ poetry run pytest test.py -k test_search_scraping
    $ poetry run pytest test.py -k test_job_scraping
    $ poetry run pytest test.py -k test_salary_scraping