Skip to main content

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:

pip install jobsparser

From source:

git clone https://github.com/FranciscoMoretti/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 "Junior Frontend Developer" \
    --search-term "Junior Software Engineer" \
    --location "London" \
    --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: usa)
  • --fetch-description: Fetch full job description (default: true)
  • --proxies: Proxy addresses to use (can be specified multiple times)
  • --batch-size: Results per batch (default: 30)
  • --sleep-time: Base sleep time between batches (default: 100)
  • --max-retries: Maximum retry attempts per batch (default: 3)
  • --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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jobsparser-0.1.12.tar.gz (34.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

jobsparser-0.1.12-py3-none-any.whl (6.6 kB view details)

Uploaded Python 3

File details

Details for the file jobsparser-0.1.12.tar.gz.

File metadata

  • Download URL: jobsparser-0.1.12.tar.gz
  • Upload date:
  • Size: 34.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.5.26

File hashes

Hashes for jobsparser-0.1.12.tar.gz
Algorithm Hash digest
SHA256 e40eab0a791582602720f1ba0f9b4f01e9f8a4fc139c2878c465f5bf89ccfc2c
MD5 09621056e02e5d2ca4c286d805a6f3bf
BLAKE2b-256 88e08444dc36e333f915b71730e2ed2ca1fc4688c0818624358d48011bdc24d9

See more details on using hashes here.

File details

Details for the file jobsparser-0.1.12-py3-none-any.whl.

File metadata

File hashes

Hashes for jobsparser-0.1.12-py3-none-any.whl
Algorithm Hash digest
SHA256 7f8252880dd0936971a784427d8f50c5a95521c0bf4e6d0f7cf49325759c6b90
MD5 a82eabcee9ec8d6cb9a0080b2386290d
BLAKE2b-256 0eaf45d7f0f09c47610f9a6f87f3fb7f7a79eb575809878cdb4a6a500704fd46

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page