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A Python API to interact with LinkedIn without using official API access.

Project description

OpenLinkedInAPI

An Open-Source Python Library for LinkedIn Automation

Build
License: MIT

Features

✅ No official API access required – just use a valid LinkedIn account.
✅ Direct HTTP API interface – no Selenium, Puppeteer, or browser-based scraping.
✅ Search and retrieve profiles, companies, jobs, and posts.
✅ Send and receive messages.
✅ Send and accept connection requests.
✅ React to posts and extract data efficiently.
✅ Community-driven and regularly updated.

Disclaimer: This library is not officially supported by LinkedIn. Using it may violate LinkedIn's Terms of Service. Use it at your own risk.

Installation

Note: Python >= 3.10 required

pip install openlinkedinapi

For the latest version from GitHub:

pip install git+https://github.com/your-repo/openlinkedinapi.git

Quick Start

from openlinkedinapi import Linkedin

# Authenticate with LinkedIn credentials
api = Linkedin('your-email@example.com', 'your-password')

# Get a profile
profile = api.get_profile('john-doe')

# Get profile contact info
contact_info = api.get_profile_contact_info('john-doe')

# Get first-degree connections
connections = api.get_profile_connections('123456789')

Development

Dependencies

  • Poetry
  • A valid LinkedIn account (avoid using your personal account)

Setup

Clone the repository and install dependencies:

git clone https://github.com/your-repo/openlinkedinapi.git
cd openlinkedinapi
poetry install
poetry self add poetry-plugin-dotenv

Running Tests

poetry run pytest

Troubleshooting

LinkedIn Challenge Prompts

LinkedIn may require additional verification (e.g., CAPTCHA, 2FA). If you encounter login issues, try:

  • Logging into LinkedIn manually.
  • Using a different IP (VPN or proxy).
  • Avoiding excessive requests in a short period.

How It Works

This project interacts with LinkedIn’s internal API, Voyager, which powers LinkedIn’s web interface. By analyzing network requests, we extract structured data directly from LinkedIn pages without requiring an official API key.

Contributing

We welcome contributions! Feel free to submit issues, feature requests, or pull requests.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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