GitHub repo leaderboard by stars, growth rate and activity.
A library that scrapes Linkedin for user data
Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.
LinkedIn enumeration tool to extract valid employee names from an organization through search engine scraping
🕵️♂️ LinkedIn profile scraper returning structured profile data in JSON.
LinkedIn Scraper (currently working 2020)
A LinkedIn Scraper to scrape up to 1k LinkedIn profiles(due to LinkedIn limit) from company profile links and save their e-mail addresses if available! (actively maintained, if anything doesn't work, open an issue in the repo)
Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively.
Scrape, Hunt, and Transform names and usernames
| # | Repo | Language | Stars | 30-day trend | Last updated |
|---|---|---|---|---|---|
| 1 | A library that scrapes Linkedin for user data | Python | 4,487 | last pushed 5 months ago | |
| 2 | Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages. | Python | 3,416 | last pushed Yesterday | |
| 3 | LinkedIn enumeration tool to extract valid employee names from an organization through search engine scraping | Python | 1,588 | last pushed 2 years ago | |
| 4 | 🕵️♂️ LinkedIn profile scraper returning structured profile data in JSON. | TypeScript | 776 | last pushed 2 years ago | |
| 5 | LinkedIn Scraper (currently working 2020) | JavaScript | 610 | last pushed 4 years ago | |
| 6 | A LinkedIn Scraper to scrape up to 1k LinkedIn profiles(due to LinkedIn limit) from company profile links and save their e-mail addresses if available! (actively maintained, if anything doesn't work, open an issue in the repo) | Python | 286 | last pushed 1 year ago | |
| 7 | Developed an AI application using LLM to analyze user resumes and provided the summarization, strengths, weaknesses, suggestions, suitable job titles, and also scraping job details from LinkedIn using Selenium. This application reduces time by 30% and helps candidates tailor their resumes effectively. | Jupyter Notebook | 208 | last pushed 2 years ago | |
| 8 | Scrape, Hunt, and Transform names and usernames | Python | 130 | last pushed 4 years ago |
All · 11,474