AI Lead Gen n8n Workflow: Apollo + GPT-4 + Telegram to Postgres

Turn voice or text into verified leads—automatically

This AI Lead Gen n8n workflow converts your voice messages or text prompts into prospect search criteria, scrapes lead data from Apollo.io, filters for verified emails, and automatically stores clean results in PostgreSQL/Supabase. Powered by GPT-4 and delivered via Telegram, it’s a streamlined way to build high-quality contact lists with less manual work.

What this workflow does

Here’s the exact process:

• Accept flexible input: Send a request through Telegram as a voice message or text.
• Convert voice to text: Uses OpenAI’s transcription API to translate audio into text.
• Extract search parameters with AI: An AI agent interprets your natural language request and pulls out criteria like location, industry, and job title.
• Generate Apollo scraping queries: The workflow builds search URLs dynamically from the extracted parameters and runs scraping using the Apollo.io API.
• Verify and clean results: Keeps verified emails only, prevents duplicates by comparing against your existing database, and ensures data quality control.
• Store leads in your database: Automatically inserts structured contact profiles into PostgreSQL/Supabase with real-time updates.

Use cases

• Request “Find HR managers in Austin in tech” via Telegram and instantly populate your CRM table in PostgreSQL.
• Generate weekly prospect lists for outreach campaigns using GPT-4-based lead criteria parsing.
• Reduce manual lead research by automating Apollo.io lead scraping + verified email filtering.

Technical details

• n8n workflow nodes: set, code, no op, limit, filter, switch
• AI: OpenAI transcription API (voice-to-text) and GPT-4 (parameter extraction)
• Integrations: Apollo.io (official API), Telegram, PostgreSQL/Supabase for lead storage