Description

The Google Search (LinkedIn) Leads Scraper is a custom-built Python automation tool designed to streamline the process of extracting high-quality leads from LinkedIn profiles indexed by Google Search. This project is tailored for professionals, marketers, and recruiters who need to gather contact information efficiently without manual browsing.

🔍 What It Does
✔ Scrapes LinkedIn profile data from Google search queries
✔ Collects names, job titles, company names, locations, emails, phone numbers (if
available), and profile URLs
✔ Solves reCAPTCHA automatically for uninterrupted scraping
✔ Uses VPN for IP protection (Future updates will support proxy integration!)
✔ Delivers accurate, clean lead data — fast!


📌 How It Works:
- Create a robust Google search query using tools like recruitin.net.
- Input the search URL and specify the desired output format.
- The tool scrapes Google search result pages, extracts relevant LinkedIn profiles,
and parses contact information.
- Outputs results in a structured format (CSV, JSON, etc.).

Example Google Search Query:
("CEO" OR "FOUNDER" OR "MANAGER") AND ("California") AND ("Real Estate") AND ("@gmail.com" OR "@yahoo.com") -intitle:"profiles" -inurl:"dir/" site:linkedin.com/in


Why Use This Tool?
🚀 Save Time – Automates lead generation so you can focus on outreach, not data
collection.
📊 High-Quality Data – Get accurate and actionable lead data, including contact
information.
🔒 Secure & Efficient – VPN & Recaptcha solving ensure uninterrupted, safe data
extraction.


💬 Need a custom web scraping solution? Let’s discuss how I can help you get the data you need!