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CLI tool to scrape jobs from multiple job sites

Project description

jobsparser

A simple CLI tool to scrape jobs from multiple job sites (LinkedIn, Indeed, Glassdoor) using JobSpy.

Relevant article: Automate Your Job Search: Scraping 400+ LinkedIn Jobs with Python

Installation

From PyPI (coming soon):

pip install jobsparser

From source:

git clone https://github.com/fran/jobsparser
cd jobsparser
pip install .

Usage

Basic usage:

jobsparser --search-term "Python Developer" --location "London"

Use multiple job sites:

jobsparser --search-term "Frontend Engineer" --location "Remote" --site linkedin --site indeed

Advanced usage:

jobsparser \
    --search-term "Data Scientist" \
    --location "New York" \
    --site linkedin \
    --results-wanted 200 \
    --distance 50 \
    --job-type fulltime \
    --output-dir "my_jobs" \
    --hours-old 168 \
    --linkedin-experience-level "internship" \
    --linkedin-experience-level "entry_level"

See all options:

jobsparser --help

Features

  • Scrape jobs from LinkedIn, Indeed, and Glassdoor
  • Customizable search parameters:
    • Job type (fulltime, parttime, contract, internship)
    • Search radius (distance)
    • Number of results
    • Location and country
  • Automatic retries and rate limiting
  • CSV output with unique filenames
  • Progress tracking and status updates

Options

  • --search-term: Job search query (required)
  • --location: Job location (required)
  • --site: Job sites to search (default: linkedin)
  • --results-wanted: Total number of results (default: 100)
  • --distance: Search radius in miles/km (default: 25)
  • --job-type: Type of job (default: fulltime)
  • --country: Country code for Indeed search (default: UK)
  • --fetch-description: Fetch full job description (default: true)
  • --batch-size: Results per batch (default: 30)
  • --sleep-time: Base sleep time between batches (default: 100)
  • --output-dir: Directory for CSV files (default: data)
  • --hours-old: Hours old for job search (default: None)
  • --linkedin-experience-level: Experience levels for LinkedIn search (internship, entry_level, associate, mid_senior, director, executive)

License

MIT License - see LICENSE for details.

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