Found 222 repositories(showing 30)
m8sec
LinkedIn enumeration tool to extract valid employee names from an organization through search engine scraping
dchrastil
A tool to scrape LinkedIn without API restrictions for data reconnaissance
cporter202
A curated collection of social media scraping APIs and tools for Instagram, LinkedIn, Twitter/X, TikTok, YouTube, Facebook, and more. Extract posts, profiles, videos, comments, and engagement metrics.
t3l3machus
The purpose of this tool is: 1. to transliterate and generate possible usernames out of a full names list that may include names written in multiple (non-English) languages, common problem occurring from scraped employee name lists (e.g. from Linkedin). 2. to transliterate a wordlist that may include words/phrases written in multiple (non-Englis
dchrastil
Tool to scrape LinkedIn
Sq00ky
A Google/Bing Scraping tool for LinkedIn
fabriziomiano
Tool to scrape linkedin
krishnavalliappan
An AI-powered automation tool that streamlines job applications by scraping LinkedIn listings, generating tailored resumes and cover letters using GPT models, and synchronizing with Notion for efficient tracking.
SuwaidAslam
A python tool that scrapes data from public Linkedin Profiles and saves the data to a CSV file.
sametsazak
LinkedinScraper is an another information gathering tool written in python. You can scrape employees of companies on Linkedin.com and then create these employee names, titles and emails.
agusticonesagago
Revolutionize your recruitment process with this cutting-edge proof of concept! Developed from the inspiration of josephkearney91's LinkedIn scraping project, this advanced tool harnesses the capabilities of the OpenAI API (Chat GPT) to craft and send customized messages to prospective candidates across various languages.
ArthurVerrez
A set of simple tools leveraging Selenium for scraping LinkedIn through LinkedIn Sales Navigator or LinkedIn Recruiter.
linkdAPI
A powerful, user-friendly LinkedIn profile scraper that extracts comprehensive profile information
nerodtm
Attack Surface Mapper is a reconnaissance tool that uses a mixture of open source intellgence and active techniques to expand the attack surface of your target. You feed in a mixture of one or more domains, subdomains and IP addresses and it uses numerous techniques to find more targets. It enumerates subdomains with bruteforcing and passive lookups, Other IPs of the same network block owner, IPs that have multiple domain names pointing to them and so on. Once the target list is fully expanded it performs passive reconnaissance on them, taking screenshots of websites, generating visual maps, looking up credentials in public breaches, passive port scanning with Shodan and scraping employees from LinkedIn.
shadawck
Linkedin Tools (and maybe later other source) to reconstruct a company hierarchy from scraping relations and jobs title
hqman
A tool to scrape LinkedIn profiles and company pages.
kiryano
Free lead generation tool. Scrape Instagram, Twitch, TikTok, and LinkedIn profiles. Extract emails from bios, verify via SMTP, export to CSV.
alexcolls
🕷️ LinkedIn Spider is a powerful, user-friendly command-line tool that helps you collect and analyze LinkedIn profiles at scale. By leveraging Google Search instead of direct LinkedIn scraping, it significantly reduces the risk of account restrictions while providing comprehensive profile data.
x-0117
An OSINT tool to automate linkedIn searches, scraping profiles to compile relevant information about users and filtering profiles by searching for keywords in them.
iqbaleff214
LinkedIn Job Scraper with a Text-Based User Interface (TUI) is a command-line tool designed to simplify the extraction of job listings from LinkedIn. This project focuses on providing users with a command-line interface that allows them to extract job information and export the scraped data into a CSV file for further analysis.
juanjopc
A Node.js-based tool for extracting email addresses and phone numbers from LinkedIn profiles. This project uses the Serper API, Playwright, and Google Gemini AI to automate the scraping and data extraction process.
Hiteshydv001
Welcome to the LinkedIn Automate Comment project! 🚀🤖 This tool combines web scraping, sentiment analysis, and natural language processing 🧠✨ to automate meaningful LinkedIn interactions by generating and posting thoughtful comments 💬💡. Boost your engagement effortlessly! 🚀🔥
you27-mohamed
A sophisticated, legally-compliant tool that automates the search for PhD positions across LinkedIn and academic job boards. PhD-Hunter combines enhanced LinkedIn scraping with academic source integration, providing comprehensive position discovery with a beautiful CLI interface, advanced filtering, and export capabilities.
rabiuk
A Python tool to scrape Software Engineer (SWE) new grad and internship job postings from LinkedIn, GitHub (SimplifyJobs/New-Grad-Positions), and Simplify.jobs. Designed to help you apply first by tracking new jobs and sending notifications to Discord every 2 hours.
PacemakerX
An AI-powered LinkedIn automation tool built with Python and Selenium. It scrapes your feed, analyzes post content using Gemini/OpenAI, and performs intelligent interactions like liking and commenting—based on engagement potential. Includes cookie-based login, human-like delays, and modular architecture for extension.
emna-khemiri
A GDPR compliant scraping tool designed to gather and process user and company data from platforms like LinkedIn, GitHub, Behance, Crunchbase, and TechCrunch.
namdharayush
LinkedIn Scraper is a powerful job scraping tool designed for job seekers and recruiters. With just one click, extract job listings from LinkedIn, including job title, description, apply link, published date, recruiter name, and profile link. Easily export the collected data to a CSV file for seamless analysis and tracking.
embiekhochiu
LinkedIn scraping tool with Scrapy
Ejb503
AIContentWizard: AI-powered CLI tool for generating and managing social media content across LinkedIn, Reddit, and Twitter. Web scraping and NLP-driven post creation,
youssefdahmou
This Python project involves scraping job offers from a website (LinkedIn) and then visualizing the results. This project likely involves the use of web scraping techniques to extract job offer data from LinkedIn, followed by the use of data analysis and visualization tools to present the results in a clear and meaningful way.