🎣 Google Maps to Airtable lead scraper with GPT contact extraction from impressum

⚡ 929 views · 🎣 Lead Generation & Enrichment

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Description

How it Works

This workflow automates the process of discovering companies in different cities, extracting their contact data, and storing it in Airtable.

1. City Loop (Airtable → Google Maps API)

   • Reads a list of cities from Airtable.
   • Uses each city combined with a search term (e.g., SEO Agency, Berlin) to query Google Maps.
   • Marks processed cities as “checked” to allow safe restarts if interrupted.

2. Business Discovery & Deduplication

   • Searches for businesses via Google Maps Text Search.
   • Checks Airtable to avoid scraping the same company multiple times.
   • Fetches detailed info for each business via Google Maps Place Details API.

3. Impressum Extraction (Website → HTML Parsing)

   • Builds an Impressum page URL for each business.
   • Requests the HTML and cleans out ads, headers, footers, etc.
   • Extracts relevant contact info using an AI extractor (OpenAI node).

4. Contact Information Extraction

   • Pulls out:
     • Decision Maker (Name + Position in one string, if available).
     • Email address (must be valid, containing @).
     • Phone number (international format if possible).
   • Filters out incomplete results (e.g., empty email).

5. Database Storage

   • Writes company data back into Airtable:
     • Company name
     • Address
     • Website
     • Email
     • Phone number
     • Decision Maker (Name + Position)
     • Search term & city used

Setup Steps

1. Prerequisites

• Google Maps API Key with access to:
  • Places API → Text Search + Place Details
• Airtable base with at least two tables:
  • Cities (with columns: ID, City, Country, Status)
  • Companies (for scraped results)
• OpenAI API key (for decision maker + contact extraction).

2. Authentication

• Configure your Airtable API credentials in n8n.
• Set up HTTP Query Auth with your Google Maps API key.
• Add your OpenAI API key in the OpenAI Chat node.

3. Configuration

• In the Airtable “Cities” table, list all cities you want to scrape.
• Define your search term in the “Execute Workflow” node (e.g., SEO Agency).
• Adjust the batch sizes and wait intervals if you want faster/slower scraping (Google API has strict rate limits).

4. Execution

• Start manually or from another workflow.
• The workflow will scrape all companies in each city step by step.
• It can be safely stopped and resumed — cities already marked as processed will be skipped.

5. Results

• Enriched company dataset stored in Airtable, ready for CRM import, lead generation, or further automation.

Tips & Notes

• Always respect GDPR and local laws when handling scraped data.
• The workflow is modular → you can swap Airtable with Google Sheets, Notion, or a database of your choice.
• Add custom filters to limit results (e.g., only companies with websites).
• Use sticky notes inside the workflow to understand each step (mandatory for template publishing).
• Keep an eye on Google Places API costs — queries are billed after the free quota. If you are still within the first 2 months of the Google Cloud Developer free trial, you can benefit from free credits.

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🔗 Nodes Used

Airtable, HTTP Request, Execute Sub-workflow, Execute Workflow Trigger, Filter, OpenAI Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup