Extract Google Maps business leads with Apify, GPT-4o-mini and Google Sheets
UnknownUnknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.
Community nodes
These come from third-party npm packages. In n8n 3.0 unverified community packages are off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
n8n-nodes-apify(Get list of actors, Get list of tasks)n8n-nodes-rapiwa(Rapiwa)
Nodes used (16)
- Remove Duplicates
n8n-nodes-base.removeDuplicates - Telegram
n8n-nodes-base.telegram - OpenAI
@n8n/n8n-nodes-langchain.openAi - Apify
n8n-nodes-apify.apify - Split Out
n8n-nodes-base.splitOut - Rapiwa
n8n-nodes-rapiwa.rapiwa - Microsoft Teams
n8n-nodes-base.microsoftTeams - Slack
n8n-nodes-base.slack - Code
n8n-nodes-base.code - If
n8n-nodes-base.if - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Manual Trigger
n8n-nodes-base.manualTrigger - HTTP Request
n8n-nodes-base.httpRequest - Edit Fields (Set)
n8n-nodes-base.set - Google Sheets
n8n-nodes-base.googleSheets - Wait
n8n-nodes-base.wait
What it does
Who Is This For? This workflow is designed for business analysts, market researchers, lead generation specialists, and sales teams who need to gather detailed business intelligence from Google Maps. It's particularly valuable for anyone conducting competitor analysis, building prospect lists, or researching local business landscapes. What This Workflow Does This workflow functions as an automated Google Maps data extraction and intelligence system that: 1. Searches for businesses on Google Maps based on a specific query and location 2. Extracts comprehensive data for each listing, including name, rating, address, phone, website, and reviews 3. Structures the raw data into a clean, usable format for analysis 4. Programmatically initiates the scraping process using a dedicated, cloud-based scraping tool 5. Monitors the scraping job until completion, ensuring all data is captured 6. Delivers the final dataset in a structured JSON format, ready for integration into CRMs, spreadsheets, or other applications Key Features On-Demand Data Extraction – Can be triggered anytime to scrape fresh data from Google Maps Comprehensive Data Points – Captures a wide range of information including ratings, reviews, contact details, and URLs Cloud-Powered Scraping – Leverages a specialized, pre-built actor (crawler-google-places) from the Apify platform for reliable and efficient scraping Automated Job Management – Automatically starts, monitors, and waits for the scraping task to complete Structured Output – Delivers clean, structured JSON data that is easy to parse and use Programmatic Control – Manages the entire process through API calls, making it easy to integrate into other workflows Requirements & Setup - Apify Account & API Token: Required to access and run the Google Maps scraping actor. - Apify Actor ID: The specific ID for the crawler-google-places actor (nwua9GuXXXXDL7ZDj). - Apify Task ID: An optional pre-configured task (IldouXXXQalCKQpfO) for consistent scraping parameters. - Input Parameters: You need to provide the searchString (e.g., "restaurants near Islamic University") and other scraping options. Support & Help - WhatsApp: Chat on WhatsApp - Discord: SpaGreen Community - Facebook Group: SpaGreen Support - Website: https://spagreen.net - Developer Portfolio: Codecanyon SpaGreen