Google Places Insights
Global Location Data for Your Analytics in Google BigQuery
Say goodbye to risky web scraping and outdated business directories: Leverage the world’s most comprehensive location dataset from Google Maps for your strategic analyses. Scalable, secure, and always up to date.
Die Evolution of Location Intelligence
Traditional workflows in site planning and market analysis often rely on fragmented, outdated datasets. This results in significant manual effort for data preparation and inaccurate analyses. Google Places Insights removes this overhead and grants you access to over 300 million up-to-date places data records.
While traditional business registries often lag months behind, the Google Maps database is continuously validated by more than 2 billion monthly active users and thousands of data partnerships. As a result, your analyses are always based on the real, current state of the physical world.
As an official reseller and implementation partner, Ubilabs accompanies you every step of the way – from licensing to data onboarding. See the power of these analyses for yourself in the official Google Places Insights demo developed by us.
Test the official demo
The benefits of Places Insights at a glance:
- Maximum Compliance: Places Insights is the only 100% compliant method to utilize Google Maps data for large-scale analytics.
- Global Scalability: Access over 300 million Points of Interest (POIs) in more than 50 countries and benefit from a consistent data taxonomy.
- Predictive Analytics: Analyze urban changes based on 24 months of historical data to forecast future store performance and trends.
- Comprehensive Attribute Depth: Analyze qualitative and structural data such as place types, ratings, reviews, opening hours, and payment options at scale. This allows you to decode the complete profile of entire target regions and derive patterns and location criteria.
- Efficiency in BigQuery: Run complex queries across millions of POIs automatically in a matter of seconds.
Geospatial Analytics Without Compromise
Places Insights delivers the vast data treasure of Google Maps Platform directly into BigQuery. The product is licensed via an annual subscription (€3,300 per month with a minimum contract term of 12 months). For you, this means: Unlimited queries without unpredictable pay-as-you-go costs.
Secure Analytics in Data Clean Rooms
Your sensitive business data (e.g., first-party revenue figures or CRM data) remains fully protected. Via BigQuery Data Clean Rooms, you can securely combine your internal metrics with Google’s places data. Because access is strictly aggregated, no raw data or granular details of individual people or locations are exposed. Instead, analyses are generated across freely definable areas (radii, regions, or custom polygons).
Vast Filtering Capabilities for Your Business Questions
With over 480 place types and more than 70 detailed attributes, you can build exactly the customized scores and indices your business requires.
For example, you can filter by:
- Operational Information: Opening hours, business status (e.g., operational vs. permanently closed).
- Quality & Price: Average ratings, review counts, price levels.
- Infrastructure & Services: EV charging stations, parking options, accessibility, payment methods, outdoor seating, and much more.
Your Path to Data-Driven Decisions with Ubilabs
As a leading Google Cloud Premier Partner in the DACH region, we are more than just a reseller of Places Insights. We accompany you from the initial idea to the productive use of Google's location data
- Reselling: We handle the licensing of your annual subscription and ensure the seamless delivery of Google's data treasure directly into BigQuery.
- Discovery Workshops: Together, we identify your most valuable use cases and translate your strategic questions into concrete query logic.
- Enablement: We equip your data engineering and BI teams to effectively leverage the location data, supporting you with onboarding and combining it with your internal business data.
- Proof of Concept (PoC): Test Places Insights risk-free. We validate your specific use case beforehand using ready-to-use demo datasets from Germany, the USA, and Japan.
Relevance for Your Business Model
Whether you want to evaluate locations, optimize your supply chain, or screen real estate for environmental risks: Places Insights provides the ideal data-driven foundation.
Site Planning & Expansion
- White-Spot Analysis: Identify areas with high demand or potential customer density but little to no competition.
- Surrounding Area Assessment: Analyze the location of potential sites regarding infrastructure, public transport connectivity, and complementary businesses.
Competitive Analysis & Benchmarking
- Market Penetration: Monitor the density and development of competitor locations in your core target areas.
- Quality Comparison: Compare competitor Google ratings and price levels directly with the performance of your own stores.
Logistics & Supply Chain Optimization
- E-Commerce & Delivery: Optimize delivery zones based on POI density and the accessibility of your specific target groups.
- Fleet Management: Plan charging stations or depots at strategically advantageous points with high relevance and location density.
Marketing
- Geomarketing: Target advertising campaigns specifically at highly relevant areas (e.g., sports equipment near parks and fitness studios).
Real Estate
- Property Valuation: Analyze and evaluate assets within the context of their immediate surroundings, local infrastructure, and transport network connectivity.
- Risk Screening: Evaluate environmental factors (e.g., flood zones) around real estate assets to minimize long-term risks during valuation.
Want to dive deeper into Places Insights?
In our detailed blog post, we explain the technical aspects of Places Insights and how analysts can leverage the dataset in detail.
Read the blog post: Places Insights for Location DecisionsFAQ: Frequently Asked Questions about Places Insights
Is the use of Places Insights GDPR-compliant?
Yes, absolutely. By utilizing BigQuery Data Clean Rooms, the data matching occurs on an aggregated, statistical level. At no point are personal data or sensitive raw data transferred to Google or exposed externally.
Who benefits from the annual subscription model?
This model is designed for enterprises, consultancies (e.g., for the real estate or expansion sectors), and geomarketing specialists who conduct location-based queries continuously and on a large scale. Since it operates as a flat rate, it eliminates the risk of unpredictable costs from high-volume API calls.
Can I test the data in advance?
Yes. Ubilabs offers you the opportunity to test initial queries using free data from capital cities (e.g., Berlin). Furthermore, we support you in conducting a Proof of Concept (PoC) with actual datasets.
Which tools can be used for visualization?
Since the data resides natively in Google Cloud BigQuery, it integrates seamlessly with the Google ecosystem, including Looker, BigQuery ML, and the Gemini Enterprise Agent Platform. In addition, BigQuery can be easily connected to all major third-party BI or GIS tools (such as Tableau, CARTO, or ArcGIS) to query the data directly at the source.