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. An n8n automation workflow template by Rahul Joshi.

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