Block 1 - Azure OpenAI Chat Model
- Type / Role
- @n8n/n8n-nodes-langchain.lmChatAzureOpenAi - lmChatAzureOpenAi
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
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 fo...
@n8n/n8n-nodes-langchain.lmchatazureopenai, @n8n/n8n-nodes-langchain.outputparserstructured, n8n-nodes-base.wait, n8n-nodes-base.scheduletrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.chainllm
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Rahul Joshi.
Original n8n.io sourceDescription
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
OpenAI or Azure OpenAI
(Optional) Google Sheets
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:
(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
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | LinkedIn profile scraper & personalized outreach using PhantomBuster + GPT-4 |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Lead Generation, AI Summarization |
| Author | Rahul Joshi |
| Published | 20 Jun 2025 |
Use the JSON export at /data/workflows/5069/5069.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
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 fo...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, AI Summarization use case.