Scalable Google Maps Scraper with Clay.com

Overview

This workflow, built on Clay.com, enables users to perform large-scale, low-cost scraping of Google Maps business data enriched with company and owner information. Leveraging a mix of custom automations, third-party APIs, and integrated enrichments, the process is optimized for affordability, precision, and scale—ideal for prospecting, lead generation, or research tasks.

What This Workflow Does

• Scrapes business listings from Google Maps or Google Places by specified category and location.
• Extracts key business info (name, phone, address, rating, category, ranking, website, CID).
• Performs multi-service owner identification, LinkedIn lookup, and email finding and validation.
• Exports and organizes data for further CRM or marketing automation enrichment.

Why This Workflow Is Useful

• Low Cost: The entire scraping and enrichment process runs using external API keys, not Clay.com credits, keeping per-email costs extremely low.
• Accuracy & Scale: Utilizes the Google Places API for accurate, up-to-date business info. Designed to handle large datasets (up to 150,000 records in the demo).
• Flexibility: You can adapt or expand the workflow as needed, simply by duplicating the provided template and updating query parameters.

Step-by-Step Instructions

1. Prepare Your Search Parameters

• Download and use the provided Google Sheet containing valid city names for search.
• In the Clay.com template, set the business type (e.g., plumber, restaurant), location, and adjust any custom search terms.

2. Set Up API Access

• Obtain an API key from Serper.dev (inexpensive Google Maps/Places search access).
• Insert your API key in the designated place within the workflow template.

3. Customize & Run the Scraper

• The workflow utilizes formulas to dynamically build the search queries.
• Results are paginated (max 50,000 records per page) to manage large data volumes without hitting system limits.
• Data fields extracted include category, phone, ranking, ratings, company website, name, and unique business CID.

4. Owner and Contact Enrichment

• Use the Cent app to visit each company website and locate potential business owners, cross-validating via LinkedIn.
• Deploy Prosio to find email addresses for identified people using name and website data.
• Fallback: Use Prospo and cagent for broader email crawl if initial methods do not succeed.
• All found emails are validated with Debounce for deliverability.

5. Quality Enhancement

• Add custom formulas to ensure that only records matching your target vertical are processed.
• Manual prompts or AI checks confirm owner details before finalizing contact info.

6. Export or Integrate

• Duplicate the entire workbook as a template for your own use.
• Update or add enrichments (additional data points, CRM push) before use.
• Export the data or connect to downstream systems as needed.

Tips & Best Practices

• Regularly update your city and business type lists for targeting accuracy.
• Use page limits and result pagination to avoid data overload.
• Always validate and deduplicate your contact lists before initiating campaigns.

Conclusion

This in-depth Clay.com workflow offers a turn-key, affordable solution for those needing scalable, high-quality lead and contact data from Google Maps, seamlessly integrated with next-step CRM or outreach automation.