About
We built a custom Google Maps scraping solution for a U.S.-based data intelligence and marketing advisory firm, enabling independent collection of publicly available business data across the U.S. The system performs targeted searches, captures relevant listings and URLs, and processes data through a structured pipeline for cleaning and normalization, giving the client full control over freshness, structure, and scalability.
Challenge, approach, and impact
Scalable, Cost-Efficient U.S. Business Data Enrichment
The client depended on third-party providers delivering incomplete U.S. business records with limited attributes. Manual enrichment was slow and expensive, while the business required regularly updated, detailed datasets at national scale to support marketing intelligence and consulting insights. They needed a scalable, automated way to collect and manage reliable business data independently.
How we built
Testimonials
Anonymous
“At DATAFOREST, we designed and implemented a scalable Google Maps data collection pipeline that gave the client full control over U.S. business data enrichment. By automating scraping, cleaning, deduplication, and monthly updates, we replaced costly third-party providers with a reliable, self-updating intelligence system delivering up to 70% market coverage.“
Team structure
Client team
Client
Product Owner
The client stakeholders were working closely with the team at Dataforest
Agency team
Data Engineer
Production
Product Manager
Production
Business Analytics
Production
