AgentHub

LinkedIn Profile Scraper & Personalized Outreach using PhantomBuster + GPT-4

Description

Live
Open / InstallLast updated July 27, 2026

Description

Description This plug-and-play n8n workflow template helps you automate LinkedIn profile data extraction and transform it into structured, enriched outputs using PhantomBuster and GPT-4. Perfect for lead generation, recruiting, or growth marketing teams, this pipeline handles scraping, structuring, and messaging—all in one flow. Requirements PhantomBuster Setup Create a PhantomBuster account. Use the LinkedIn Profile Scraper Phantom (or your custom one). Get your API Key and Agent ID from PhantomBuster dashboard. Configure your LinkedIn Phantom with an active LinkedIn session cookie (available from your browser’s developer tools). OpenAI or Azure OpenAI Provide your GPT-4 / GPT-4o API Key. You can use OpenAI or Azure's hosted model. (Optional) Google Sheets Use Sheets for batch profile inputs or output logging. What This Template Does Step-by-Step Flow: 🔁 Manual Trigger / Google Sheets input – Accepts LinkedIn profile URLs. 🚀 Launch PhantomBuster Agent – Starts the scraping job with provided LinkedIn URLs. ⏳ Wait Node (45 sec) – Allows PhantomBuster to finish execution. 📥 Download Scraped Output – Fetches the download URL for JSON/CSV from the container. 📂 Temp File Management – Deletes temp URLs or intermediate data as needed. AI Parser (GPT-4) – Parses and extracts: Name Headline Company Designation Industry Location Recent roles (Optional) Create personalized outreach messages using structured output. Output Structured JSON or CSV – Send to CRM, Google Sheets, Airtable, etc. Best For 📈 Sales/BDRs building high-quality prospect lists 🧑‍💼 Recruiters extracting enriched candidate info 💼 Founders & Marketers creating targeted lead magnets 🧩 Tool builders building products using LinkedIn profile data. An n8n automation workflow template by Rahul Joshi.

Author

Rahul Joshi

Platform

web

Pricing model

paid

Categories

Automation
AI

Tags

n8n
workflow
google-sheets
http-request
ai-agent
basic-llm-chain
structured-output-parser
azure-openai-chat-model

Capabilities

  • 6 nodes
  • 97 views