Automated Google Maps Lead Scraper with Data Organization

This n8n workflow is designed to streamline the process of extracting detailed business leads from Google Maps and organizing the data into Airtable for easy management. It automates the entire pipeline from scraping to data cleaning, URL-based website analysis, and contact information extraction, making it ideal for businesses engaged in lead generation, marketing, or outreach. The process begins with a manual trigger to initiate the workflow, followed by an API request to Apify’s Google Maps Extractor, which fetches business details based on keyword and location parameters. The raw data is then cleaned and structured to retain only essential fields like title, address, website, phone, and URL. Next, the workflow loops through each contact, isolates website URLs, and visits each site to scrape the raw HTML content. Using OpenAI’s GPT-4 model, it analyzes the HTML to extract a contact email, prioritizing authoritative contacts. Finally, all collected data, including the email, is stored neatly into Airtable, enabling efficient lead management and future automation. This workflow is highly customizable and suitable for anyone needing automated lead scraping from local business directories or Google Maps, saving time and enhancing data accuracy.