n8n Google Maps Lead Scraper: Area Search & Outreach AI

Turn Google Maps searches into an outreach-ready lead list—automatically

This n8n Google Maps Lead Scraper workflow scrapes leads from Google Maps (area search), enriches them with AI-generated cold call scripts, and stores everything in Supabase for your next outreach sequence.

What this workflow does

• Collects your search inputs: you provide a Google Maps starting location, a keyword, and a country.
• Runs Bright Data scraping: the workflow triggers a Bright Data scraping job via the Bright Data community node, monitors progress, and downloads the results.
• Generates personalized outreach messaging: it uses Bright Data MCP with LLMs to create tailored cold call scripts and talking points for each lead.
• Stores enriched leads: the workflow upserts the enriched lead data and AI scripts into Supabase (your Postgres database).

Use cases

• Local business lead generation: generate prospects by keyword and country for agencies, home services, clinics, and more.
• Sales development automation: produce consistent, personalized cold outreach scripts from scraped Google Maps leads.
• SaaS operators scaling outreach: centralize leads and scripts in Postgres/Supabase for downstream CRM or outreach tools.

Technical details

• Bright Data: uses the Bright Data community node for Maps scraping and Bright Data MCP for AI message generation with LLMs.
• Database storage: upserts enriched leads and generated scripts into Supabase (or other Postgres-compatible database).
• n8n workflow structure: built with standard n8n nodes such as if, set, no op, wait, limit, and merge.

Requirements

• An LLM account (e.g., OpenAI, Gemini) for API usage.
• A Bright Data account for API and MCP usage.
• A Supabase account (or other Postgres database) to store results.

Setup is straightforward: configure credentials, create your Postgres table, submit the form, and let the workflow run end-to-end.