Description
Automated LinkedIn lead scraping and enrichment using Google search — powered by AI
📉 Stop manually searching LinkedIn profiles — this workflow uses Google, SerpAPI, and GPT-4o to extract, filter, and store LinkedIn data in NocoDB.
🧠 What Problem Does It Solve?
Finding relevant LinkedIn profiles manually is time-consuming, inconsistent, and hard to scale. This AI-powered workflow automates it by extracting and refining LinkedIn profile links based on custom keywords and location.
✨ Provides cleaned and structured LinkedIn data including:
🔹 Name
🔹 Title
🔹 Location
🔹 Profile URL
🔹 Description (if available)
⚙️ How it Works
🌐 Forms a Google search query based on title + location
🔗 Uses SerpAPI to extract LinkedIn profile URLs from Google
🧹 GPT-4o filters and formats only high-quality, relevant profiles
🗂 Saves structured data into NocoDB
📤 Optionally exports to Excel or sends via email
🔑 Key Features
🧠 GPT-4o-based filtering for high relevance
🔎 Works for any job title, keyword, or city
🗃 Stores data in real-time to NocoDB
📈 Scalable for HR, lead gen, and market research
📊 Exportable to CSV/Excel
🔁 Can run on schedule for continuous scraping
🧰 What You Need
✅ SerpAPI key to perform Google search queries
✅ OpenAI API key for GPT-4o filtering
✅ NocoDB instance to store data
✅ (Optional) Gmail account for email delivery
⚙️ Setup Instructions
🔧 Enter your target role and location
🔑 Add your SerpAPI and OpenAI credentials
💾 Link your NocoDB database
🧪 Test with one job title and location
📅 (Optional) Set up to run daily or weekly
🔌 Integrations
SerpAPI
OpenAI GPT-4o
NocoDB
(Optional) Gmail
