LinkedIn scraping, structuring, and messaging using PhantomBuster and GPT-4

Description

Description

This template automates the end-to-end process of extracting professional data from LinkedIn and converting it into a usable format—ideal for recruiters, SDRs, marketers, and growth teams. With a few simple configurations, you’ll be able to trigger the flow, scrape profiles, and use AI to extract name, headline, company, role, industry, and more—without writing a single line of code.

Key Features

🔗 Launch PhantomBuster Agent using a profile URL
⏳ Wait 45 seconds for PhantomBuster to complete scraping
📥 Fetch and parse scraped data (download URL to JSON)
🤖 Use GPT-4 (OpenAI/Azure) to extract structured information
📄 Output fields: Name, Headline, Company, Job Title, Industry, Experience, etc.
🧰 Optional: Personalize messages using extracted data
📊 Send structured output to Google Sheets, Airtable, or CRM

Setup Instructions

PhantomBuster Configuration
Sign up for PhantomBuster
Use the LinkedIn Profile Scraper Phantom
Obtain your API Key and Agent ID
Provide a valid LinkedIn session cookie (from browser dev tools)

OpenAI or Azure Setup
Add your GPT-4 or GPT-4o API credentials
Can be from either OpenAI or Azure OpenAI


Google Sheet (Optional)
Add a sheet with LinkedIn profile URLs to process in batch mode

Environment Cleanup
This version uses n8n credentials manager
All hardcoded tokens and API keys are removed for security compliance

Customization Tips
You can adjust the wait duration depending on PhantomBuster execution time
Replace or extend the AI parsing prompt to include more fields (e.g., education, location, skills)
Add additional automations: Slack notifications, CRM sync, or enrichment tools like Clearbit or Hunter.io

Perfect For

🚀 Growth hackers and SDRs automating lead generation
🧠 Recruiters scraping profiles for outreach
📊 Marketing teams enriching data for campaigns
🛠️ SaaS builders building LinkedIn intelligence tools