Block 1 - When clicking ‘Execute workflow’
- Type / Role
- n8n-nodes-base.manualTrigger - manualTrigger
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This workflow automates the process of scraping local business listings from Google Maps and generating clean, AI powered summaries for each one — using Apify (community node) and OpenAI’s GPT 4o. ...
n8n-nodes-base.manualtrigger, @apify/n8n-nodes-apify.apify, n8n-nodes-base.removeduplicates, @n8n/n8n-nodes-langchain.openai, n8n-nodes-base.splitinbatches, n8n-nodes-base.googlesheets, n8n-nodes-base.stickynote, n8n-nodes-base.wait
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Jaures NYA.
Original n8n.io sourceAll results are then saved automatically into Google Sheets, ready for lead generation, enrichment, or outreach.
This workflow saves hours of manual research by automatically:
Scraping structured business data from Google Maps (name, category, address, phone, website, etc.)
Creating natural-language summaries for each business using GPT-4o
Storing everything into Google Sheets — perfectly formatted for outreach or CRM import
This automation is ideal for:
Lead generators and sales teams building B2B lists from local businesses
Freelancers and agencies prospecting new clients in specific cities or industries
Recruiters or marketers looking to enrich business data for campaigns
Automation enthusiasts who want to summarize and structure raw scraped data — without writing a single line of code
Trigger: The workflow starts manually via the Execute Workflow trigger (ideal for testing or batch runs).
Scrape: It uses an Apify actor to scrape Google Maps search results and collect structured business info (name, category, address, phone, website, Google Maps URL...).
Fetch Data: The dataset is retrieved from Apify using the actor's dataset ID, and each business is loaded for processing.
Deduplicate: Removes duplicate business listings to keep your database clean.
Loop Over: Iterates over each business to generate a clean summary, one at a time.
Generate Summary: Sends the business data to OpenAI to generate a human-readable paragraph (including name, category, address, city, phone, and Google Maps link).
Store: Appends the summarized info into a Google Sheet — your final lead database.
Pause for rate limit: Adds a short delay (optional) to control flow or avoid rate limits.
Change the Apify search query to target different cities, industries, or keywords.
Adjust the OpenAI prompt to include tone, length, or focus areas (e.g., add business highlights).
Add filters (e.g., add-on: reviews, add-on: images, etc.).
Use a Google Maps scraping actor in Apify.
Copy your Actor ID and Token — add them to your Apify node in n8n.
Note your Dataset ID (where results are stored).
Add your OpenAI API key to the Generate Summary node.
The model gpt-4o is recommended for best quality/cost balance.
Set up your Apify actor for Google Maps scraping (or use a prebuilt one).
Connect your OpenAI API key to the Message node (company summary).
Connect your Google Sheets account and select the target sheet.
Run the workflow → it will:
1 Scrape business data
2 Clean and summarize each one
3 Save everything to your spreadsheet.
✅ A working Apify actor that scrapes Google Maps listings
✅ An OpenAI account (GPT-4) with API access
✅ A Google Sheet for storing the summarized results
Contact me for consulting and support: LinkedIn / YouTube / Skool
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 | Scrape & summarize Google Maps businesses with APIFY + GPT-4O to sheets |
|---|---|
| Complexity | advanced |
| Nodes | 16 |
| Categories | Lead Generation, AI Summarization |
| Author | Jaures NYA |
| Published | 24 Oct 2025 |
Use the JSON export at /data/workflows/10120/10120.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.
This workflow automates the process of scraping local business listings from Google Maps and generating clean, AI powered summaries for each one — using Apify (community node) and OpenAI’s GPT 4o. ...
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.