LinkedIn Job Scraper

A Streamlit application to search and export LinkedIn job postings via the Piloterr API.

Prerequisites

• Python 3.8+ installed on your machine

Installation

pip install -r requirements.txt

Run

streamlit run app.py

The app opens in your browser at http://localhost:8501

Usage

1. API Key Setup

1. Get an API key at piloterr.com/login
2. Enter your key in the "🔑 Piloterr API Key" field in the sidebar
3. Click "💾 Save" to store it locally

2. Available Filters

Filter	Description	Example
Keyword	Search term	Data Engineer, Marketing
Company ID	LinkedIn company ID	33246798 (TikTok)
Date Posted	Publication date	Past 24h, Week, Month
Experience	Required level	Internship, Entry, Senior...
Job Type	Contract type	Full-time, Contract...
Work Mode	On-site/Remote	Remote, Hybrid, On-site
Location ID	LinkedIn Geo ID	103644278 (United States)
Results Limit	Max results	10, 20, 50, 100, 200

3. Search and Export

1. Configure your filters
2. Click "🔍 Search"
3. View results in the "Table" tab
4. Export as CSV or JSON via the "Export" tab

Finding LinkedIn IDs

• Company ID: In the company's LinkedIn page URL

  • Ex: linkedin.com/company/33246798 → ID = 33246798

• Location ID (Geo ID):

  • United States: 103644278
  • France: 105015875
  • United Kingdom: 101165590
  • Germany: 101282230

Files

job/
├── app.py           # Main application
├── requirements.txt # Python dependencies
├── .config.json     # API key (git ignored)
├── .gitignore       # Ignored files
└── README.md        # This file

API

This application uses the Piloterr API to fetch LinkedIn job postings.