An open-source LinkedIn automation tool for B2B lead generation that simulates human-like behavior to send personalized connection requests and follow-up messages, with complete local deployment to avoid cloud service risks.
One-Minute Overview#
OpenOutreach is a self-hosted, open-source LinkedIn automation tool designed for B2B lead generation. It automates the entire outreach process by simulating real human behavior, from discovering and enriching target profiles to sending personalized connection requests and follow-up messages. Perfect for sales teams, agencies, and business founders who want to boost efficiency while maintaining full data control and avoiding account suspension risks.
Core Value: Automate LinkedIn B2B lead generation with complete data ownership and reduced risk of detection.
Quick Start#
Installation Difficulty: Medium - Requires Python knowledge and command line operations, but Docker deployment simplifies the process
# Clone the repository
git clone https://github.com/eracle/OpenOutreach.git
cd OpenOutreach
# Create virtual environment
python -m venv venv
source venv/bin/activate
# Install dependencies
pip install uv
uv pip install -r requirements/local.txt
playwright install --with-deps chromium
Is this suitable for me？
- ✅ B2B Sales Automation: Batch processing LinkedIn lead generation and follow-ups
- ✅ Marketing Agency Needs: Managing LinkedIn campaigns for multiple clients
- ❌ Casual Personal Use: Better suited for high-quality manual interaction
- ❌ Fully Compliant Operations: LinkedIn explicitly restricts automation activities
Core Capabilities#
1. Advanced Browser Automation - Solves LinkedIn Detection Issues#
Uses Playwright with stealth plugins to create human-like interactions, avoiding detection by LinkedIn Actual Value: Reduces risk of account suspension and improves sustainability of automated operations
2. Smart Data Scraping - Ensures Data Accuracy#
Utilizes LinkedIn's internal Voyager API for structured profile data rather than fragile HTML parsing Actual Value: Access to more accurate and complete user information, improving personalized marketing effectiveness
3. Python-Native Campaign Design - Achieves Complete Customization#
Python-based campaign writing system offering unlimited flexibility and powerful automation sequences Actual Value: Customize automation workflows according to specific business needs without being limited to fixed templates
4. Stateful Workflow Engine - Prevents Duplicate Work#
Track profile states (DISCOVERED → ENRICHED → CONNECTED → COMPLETED) in local database, resumable at any time Actual Value: Resume work from breakpoints, saving time and resources, increasing efficiency
5. Persistent Local Database - Complete Data Ownership#
Each account has a dedicated SQLite database ensuring complete data ownership and privacy protection Actual Value: Data stored locally, avoiding data leakage risks and avoiding third-party service limitations
6. AI-Ready Template System - Enhance Personalization#
Built-in Jinja or AI prompt templates for hyper-personalized messages (easy GPT integration) Actual Value: Significantly improve message personalization, increasing connection acceptance rates and subsequent conversion rates
Tech Stack & Integration#
Development Language: Python 3.11+ Key Dependencies:
- Playwright (browser automation)
- uv (dependency management)
- SQLite (data storage)
- Docker (containerized deployment)
Integration Method: Local execution/Containerized deployment, API/SDK