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Scrape & summarize Google Maps businesses with APIFY + GPT-4O to sheets

Jaures NYAJaures NYA
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2/3/2026
n8n
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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.

All results are then saved automatically into Google Sheets, ready for lead generation, enrichment, or outreach.

What it does

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

Who’s it for

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

How it works

  • 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.

Customization Tips

  • 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.).

Setup Guide

Apify Setup

  • 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).

OpenAI Setup

  • Add your OpenAI API key to the Generate Summary node.

  • The model gpt-4o is recommended for best quality/cost balance.

Google Sheets Setup

  • Connect your Google account.

How to use

  • 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.

Requirements

  • ✅ 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

❓ Need help

Contact me for consulting and support: LinkedIn / YouTube / Skool

Scrape and Summarize Google Maps Businesses with Apify & GPT-4o to Google Sheets

This n8n workflow automates the process of extracting business information from Google Maps, summarizing key details using an AI model, and then saving the structured data into a Google Sheet. It's designed to efficiently gather insights from multiple business listings.

What it does

  1. Manual Trigger: Initiates the workflow upon a manual execution.
  2. Loop Over Items: This node is present in the workflow, suggesting that it's intended to process multiple items in batches, although the preceding nodes are not defined in the provided JSON. It would typically be used to iterate over a list of inputs, such as search queries or business IDs.
  3. Wait: Introduces a pause in the workflow, likely to manage API rate limits or to space out requests.
  4. Remove Duplicates: Ensures that only unique items are processed further, preventing redundant data or API calls.
  5. OpenAI: This node is intended to interact with the OpenAI API (likely GPT-4o, as hinted by the directory name) to process or summarize text. Given the context, it would probably take raw scraped data and generate concise summaries or extract specific entities.
  6. Google Sheets: The final step in the workflow, responsible for writing the processed and summarized business data into a specified Google Sheet.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance to host and execute the workflow.
  • Google Sheets Account: To store the scraped and summarized data.
  • OpenAI API Key: For the OpenAI node to summarize business information.
  • Apify Account (Implied): While not explicitly in the JSON, the directory name "scrape...google-maps-businesses-with-apify" strongly suggests an Apify integration would precede the "Loop Over Items" node to perform the initial scraping. You would need an Apify API key and an Apify actor for Google Maps scraping.

Setup/Usage

  1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
  2. Configure Credentials:
    • Google Sheets: Set up your Google Sheets OAuth2 or Service Account credentials.
    • OpenAI: Provide your OpenAI API Key.
    • (Implied) Apify: If you intend to use Apify for scraping, you would need to add an Apify node (e.g., "Apify Actor") and configure its credentials and parameters to output the data to the "Loop Over Items" node.
  3. Customize Nodes:
    • Loop Over Items: Ensure the input data format matches what this node expects for batch processing.
    • OpenAI: Configure the prompt and model parameters (e.g., gpt-4o) to achieve the desired summarization or data extraction from the scraped Google Maps data.
    • Google Sheets: Specify the Spreadsheet ID, Sheet Name, and the columns where the processed data should be written.
  4. Execute: Manually trigger the workflow to start the process.

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