Automate LinkedIn Data Extraction and Personalized Messaging with PhantomBuster and GPT-4
This n8n workflow automates LinkedIn profile data extraction and transforms it into structured outputs using PhantomBuster and GPT-4, ideal for lead generation, recruiting, and marketing.
This workflow starts by triggering the extraction of LinkedIn profile URLs from a Google Sheet. It utilizes PhantomBuster to scrape profile data, which is then processed by GPT-4 to extract key information such as name, company, and role. The structured data is used to create personalized outreach messages, which can be logged back into Google Sheets or sent to a CRM. This automation streamlines the process of building prospect lists and crafting targeted messages, saving time and enhancing effi
- Platform
- n8n
- Category
- Data & Analytics
- Price
- $14.99
- Creator
- Lily Zhang
- wait
- stickyNote
- httpRequest
- googleSheets
- agent
- scheduleTrigger
- chainLlm
- lmChatAzureOpenAi
- outputParserStructured
How to import this workflow into n8n
- 1Purchase or download the workflow to get the n8n workflow JSON file.
- 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
- 3Open each node marked with a credential warning and connect your own accounts and API keys.
- 4Run the workflow once manually to verify the data flow, then toggle it to Active.
Related Data & Analytics workflows
- Generate AI viral videos with VEO 3 and upload to TikTok$14.99
- Generate a daily multi-asset market report with TwelveData, Groq and Google Sheets$14.99
- Build an OpenAI RAG system with document upload, semantic search and caching$24.99
- Automate Website Content Scraping and SEO Keyword Extraction with GPT-4o-mini and Airtable$14.99
- Process Contact Form Submissions with Validation and MongoDB Storage$14.99
- Add webhook data to a Google Sheet$2.99
More from Lily Zhang
Need this deployed? We'll set it up for you.
Our automation experts deploy this workflow in your stack, connect your accounts, and verify it works — or build a custom solution from scratch.