n8n templatesn8n templates

Google Maps FULL

This workflow combines AI intelligent agents with various web scraping tools to achieve efficient data collection from Google Maps and related business websites. Users can easily input queries to obtain information such as business names, addresses, phone numbers, and websites, which is automatically stored in Google Sheets for easier management. The built-in data validation and supplementation mechanisms ensure the accuracy of the information, helping marketing teams quickly acquire potential clients and enhance business decision-making efficiency, while also complying with data privacy and regulatory requirements.

Workflow Diagram
Google Maps FULL Workflow diagram

Workflow Name

Google Maps FULL

Key Features and Highlights

This workflow leverages AI intelligent agents combined with multiple web scraping tools to efficiently collect and integrate data from Google Maps and related business websites. It accurately captures multi-dimensional professional business information including business names, addresses, phone numbers, websites, emails, and more, automatically storing the data in Google Sheets for easy management and analysis. Built-in multi-layer data validation and supplementation mechanisms ensure data accuracy and completeness, while strictly adhering to data privacy and compliance standards.

Core Problems Addressed

  • Automates the collection of high-quality potential business leads, replacing tedious manual searches and data compilation.
  • Eliminates duplicate and erroneous data, enhancing the reliability of lead information.
  • Addresses incomplete information from single data sources by supplementing key details through website crawling and Google search.
  • Enables centralized data storage and unified management to improve sales and marketing efficiency.

Use Cases

  • Marketing teams quickly obtain targeted potential client lists within specific industries in selected cities or regions.
  • Precisely identify key enterprises within business districts and industries during investment attraction and channel expansion.
  • Data analysts and business developers require bulk extraction and organization of business information.
  • Startups and small-to-medium enterprises build local business databases to support strategic decision-making.

Main Workflow Steps

  1. Trigger Mechanism: Users initiate data collection requests via messaging, inputting search keywords, city, state/county, and country codes.
  2. AI Agent Request Handling: An AI agent, guided by unified and optimized prompts, coordinates the data scraping tasks.
  3. Google Maps Scraping: Utilizes Apify’s Google Maps Scraper to extract business listings based on user-specified criteria.
  4. Website Content Crawling: Further crawls business websites to gather detailed textual content, enriching data dimensions.
  5. Data Supplementation: Automatically calls Google Search API to fill in missing information if data is incomplete.
  6. Data Integration and Storage: Consolidates all collected business and website information and saves it to Google Sheets.
  7. Data Management: Prevents duplicate scraping by prioritizing existing data queries; provides retry or adjustment suggestions upon failure.

Systems and Services Involved

  • Google Maps Scraper (Apify): Captures business location and contact details.
  • Website Content Crawler (Apify): Extracts textual content from business websites.
  • SerpAPI: Google Search API used for data supplementation.
  • Google Sheets API: For data storage and management.
  • OpenAI GPT-4o: Intelligently understands user needs and processes instructions.
  • n8n Workflow Automation Platform: Integrates and orchestrates all execution nodes.

Target Users and Value

  • Sales and Marketing Teams: Rapidly generate precise lead lists to improve customer acquisition efficiency.
  • Data Analysts and Business Developers: Automate data collection to reduce manual workload.
  • Startups and SMEs: Cost-effectively build local business databases to support business growth.
  • Digital Marketers and Web Scraping Developers: Utilize AI to coordinate multiple tools for efficient data scraping and management.

By combining intelligent automation, multi-source data fusion, and automated storage, this workflow significantly enhances the efficiency and quality of business lead acquisition, serving as a powerful assistant for modern enterprises’ digital marketing and business development efforts.