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

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 Sheets (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 (eg, 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