{"repo":"savedpixel/linkedin-network-connection-bot","free":true,"listed":false,"github":"https://github.com/savedpixel/linkedin-network-connection-bot","clone":"git clone https://github.com/savedpixel/linkedin-network-connection-bot.git","description":"The best automated LinkedIn connection bot. Searches by keyword, filters profiles, and sends connection invites on autopilot. Dual-mode: flat keyword lists or weekly group rotation. Built with Python and Selenium.","language":"Python","stars":13,"topics":["automation","bot","connection-requests","growth-hacking","headless-chrome","lead-generation","linkedin","linkedin-api","linkedin-automation","linkedin-bot"],"license":"MIT","category":"scrapers-browser-automation","readme_excerpt":"🤖 LinkedIn Network Connection Bot The best LinkedIn network connection script available to grow your audience. Fully automated, configurable, and built to run locally or on a VPS. ⭐ If you clone this repo, please give it a star. It helps others find it and keeps the project going. Automated LinkedIn connection request bot built with Python and Selenium. Searches for professionals by keyword, filters profiles, and sends connection invites on autopilot. Supports two modes: a simple keywords mode for flat keyword lists, and a group sets mode with weekly rotation scheduling (one group per day). ✨ Features - 🔍 Keyword search - find people by job title, skill, or role - 🛡️ Profile filtering - skip profiles that don't match your target keywords, block specific companies - 🔄 Two run modes - flat keyword list or weekly group rotation with day-of-week scheduling - 📊 Daily and weekly limits - configurable caps to stay within LinkedIn's guidelines - 🕐 Anti-detection delays - randomized timing between actions - 🧩 Shadow DOM modal handling - works with LinkedIn's current (2026) connection dialog - 📧 Auto-OTP via IMAP - optionally reads verification codes from your email inbox - 🖥️ VPS-ready - runs headless with Xvfb on any Linux server - 📈 Metrics tracking - logs every session, tracks daily/weekly totals per group set 🚀 Quick Start 1. Clone and configure 2. Run locally On first run, env bootstrap.py automatically creates a virtual environment and installs dependencies ( selenium","default_branch":null,"files":null,"tree":[],"storefront":"/r/savedpixel","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/savedpixel/linkedin-network-connection-bot/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}