jobsparser 0.1.5

CLI tool to scrape jobs from multiple job sites

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 --site indeed --site glassdoor \
    --results-wanted 200 \
    --distance 50 \
    --job-type fulltime \
    --output-dir "my_jobs" \
    --hours-old 168

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)

License

MIT License - see LICENSE for details.