End-to-end automation to collect, deduplicate, and log Google Maps business data into Google Sheets.
Automatically collect Google Maps business data based on location and category using the BrowserAct template. Extracts business name, phone, rating, address, website, and latest reviews. Save results to Google Sheets with automatic deduplication and a simple setup form to define targets.
Gathers and logs targeted business data for analysis and outreach.
Gather data from Google Maps based on location and category.
Extract fields including name, phone, rating, address, website, and latest reviews.
Deduplicate entries before writing to Google Sheets.
Populate Google Sheets with structured rows suitable for analysis.
Validate scraped data and log any errors for review.
Notify you when a run completes with a concise summary.
Replace manual copy-paste with an automated Google Maps data extraction AI agent. It captures, deduplicates, and saves data to Sheets in a single execution.
A simple 3-step flow turns Google Maps data into a Google Sheet.
Fill in the target location and business category in the configured form.
BrowserAct executes the Google Maps scrape using the linked template and query.
Write deduplicated results to Google Sheets and generate a run summary.
A concrete scenario showing setup, time, and outcome.
Scenario: A local marketing agency targets Cityville for 'coffee shops' and runs a 60-minute scrape. Outcome: 480 unique records with name, phone, rating, address, website, and latest review summary saved in Google Sheets, ready for outreach.
Roles that gain practical value from this AI agent.
needs a ready-to-use local business directory for campaigns.
needs fresh, location-based prospect lists for outreach.
requires competitor data and local market insights.
needs data for local optimization studies.
needs structured contact data and recent reviews to tailor pitches.
requires an automated workflow to scale data collection across cities.
Core tools used to run the AI agent end-to-end.
Orchestrates Google Maps scraping using the detail scraper template.
Stores deduplicated results and updates the sheet automatically after each execution.
Defines the fields collected (Business Name, Phone, Category, Rating, Full Address, Website, Latest Review Summary).
Concrete scenarios where this AI agent adds value.
Common questions about setup, data, and usage.
The AI agent collects business name, phone number, category, rating, full address, website, and the latest review summary as publicly visible on Google Maps. Data is gathered via the BrowserAct template designed for Google Maps detail scraping. It uses query parameters you provide (location and category) to scope results. No credentials are required to view public data, but you must authorize Google Sheets access for storage. If you need sensitive data, obtain explicit permission from data owners and ensure compliance with terms of service.
Scraping relies on the live Google Maps interface, so results can vary with page layout and rate limits. The template extracts defined fields consistently, and deduplication reduces duplicates across executions. You can review an error log to identify failed extractions and re-run specific targets. Regularly re-running with updated targets helps maintain up-to-date data. For critical data, validate key fields manually before using it for outreach.
No direct Google Map accounts are required for the scraping task. The AI agent uses the public Google Maps interface and the BrowserAct template to extract data. For storage, you must have Google Sheets OAuth2 credentials configured in the setup. If you hit rate limits, you can throttle requests or stagger executions. Ensure you comply with Google’s terms of service when scraping.
Fill in the setup form with the desired location and the business category. You can save multiple target presets for quick reuse. The form validates inputs to prevent invalid queries. You can adjust the scope (radius, exact category) to refine results. After saving, start the scraping task to begin collecting data.
The AI agent is designed to respect Google Maps load patterns and can be throttled. If you encounter blocks, you can space out requests, pause between batches, or reduce concurrency. The agent logs any blocked or failed attempts for review. Regularly scheduling executions with sensible intervals minimizes blocking risk. Consider using multiple target presets to distribute load.
You need a BrowserAct account and access to Google Sheets via OAuth2 credentials. The Google Maps detail scraper template must be available in your BrowserAct workspace. Provide your target location and category in the setup form. Verify that Google Sheets has the appropriate destination sheet with headers matching the data fields. The setup is zero-code, but some configuration steps are necessary to align with your sheet structure.
The data is stored in Google Sheets in structured rows ready for analysis and outreach. You can filter, segment, or join with other datasets inside Sheets. The deduplicated dataset reduces manual cleanup for campaigns. You can publish the sheet, import into a CRM, or export to CSV for offline use. Schedule automated executions to keep your directory current.
End-to-end automation to collect, deduplicate, and log Google Maps business data into Google Sheets.
