Automated Google Maps Business Lead Scraper

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