From Google Maps locations to marketplace products and custom datasets—our AI agents extract, clean, and structure web data through simple conversations. No coding required, no complex configurations, just natural language requests that deliver enterprise-grade results.
Extract complete structured data from Google Maps just by chatting — including all metadata, geolocation, and ratings. Combine multiple geolocations and keywords.
Our Google Maps Agent transforms local business intelligence into actionable datasets. Whether you're building a sales pipeline, conducting market research, or analyzing competitive landscapes, this agent extracts verified business information including contact details, customer reviews, operational hours, and precise geolocation data. The conversational interface allows you to specify complex queries like 'Find all coffee shops in Manhattan with 4+ star ratings that are open on weekends' and receive comprehensive, structured results in seconds.
Precise latitude/longitude coordinates, full addresses, and neighborhood information for every location. Perfect for territory mapping and logistics planning.
Visualize all extracted locations on an interactive map interface. Identify clusters, gaps in coverage, and geographic patterns at a glance.
Aggregate star ratings, review counts, and sentiment analysis. Understand what customers are saying about businesses in your target area.
Download clean, structured data in Excel or CSV format. Ready to import into your CRM, analytics tools, or business intelligence platforms.
Find all Italian restaurants in New York City and Los Angeles with ratings above 4.0 stars
Extracted 247 Italian restaurants across both cities with complete contact information, ratings, review counts, price levels, and geocoordinates. Data exported to Excel with separate sheets for each city.
Build targeted prospect lists by extracting businesses in specific industries and locations. Sales teams use this to identify warm leads, gather contact information, and plan territory coverage. For example, a B2B software company extracted all dental clinics in Texas to build a focused outreach campaign, resulting in a 40% increase in qualified leads.
Understand market density, competition levels, and customer preferences across regions. Market researchers aggregate data on thousands of businesses to identify underserved areas, trending categories, and emerging opportunities. A retail chain used this data to determine optimal locations for 15 new store openings.
Monitor competitor locations, ratings, and customer feedback at scale. Track how competitors are performing in different markets and identify their strengths and weaknesses. A restaurant franchise mapped all competitor locations within a 5-mile radius of each of their stores to inform pricing and menu strategies.
Audit your business listings across locations to ensure consistency. Digital marketing agencies use this to verify NAP (Name, Address, Phone) data, monitor online reputation, and track local search visibility for multi-location clients.
Start extracting structured data from any source with AI-powered agents. No technical expertise required—just natural conversations that deliver enterprise-grade results.