# jobsparser
A simple CLI tool to scrape jobs from multiple job sites (LinkedIn, Indeed, Glassdoor) using [JobSpy](https://github.com/Bunsly/JobSpy).
## Installation
From PyPI (coming soon):
```bash
pip install jobsparser
```
From source:
```bash
git clone https://github.com/fran/jobsparser
cd jobsparser
pip install .
```
## Usage
Basic usage:
```bash
jobsparser --search-term "Python Developer" --location "London"
```
Use multiple job sites:
```bash
jobsparser --search-term "Frontend Engineer" --location "Remote" --site linkedin --site indeed
```
Advanced usage:
```bash
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"
```
See all options:
```bash
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)
## License
MIT License - see [LICENSE](LICENSE) for details.
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