Google Maps Platform PlacesBigQuery

Places. Search them, analyse them, join them to your data.

Food and drink places counted hexagon by hexagon across a city, with filters beside the map
DensityPlaces counted cell by cell across a city, filtered by type, rating and features.

Knowing what’s around a site drives most location decisions. We use Google’s places data for both jobs: helping your customers find you, and helping you decide where to go next.

The platform. From finding one place to analysing millions.

Places filtered inside a drawn area on a map

Place search

Autocomplete and text search that find any address or business as people type.

Place details for a landmark, with Street View beside them

Place details

Opening hours, ratings, photos and more for any place.

Areas of a city scored from a plain-language brief, with the scoring rules beside the map

Places Insights

Counts and attributes for hundreds of millions of places, updated monthly, as statistics in your own BigQuery project.

A coverage grid across a region, with lines from several cities converging on one

Population Dynamics

A numerical profile of every area, built from Google’s signals, to find areas like your best ones.

Featured

Area scores. Rank every area for the signals that matter to you.

Describe the mix of places that matters to you, from coffee shops and galleries to pharmacies and primary schools, and we score every hexagon in a city against it. Add reach areas and the score follows what people can get to on foot, by bike or by car.

The result shows where the mix is strongest, where it’s thin, and the places behind each score.

A city scored area by area, with the top areas listed

What we build. Answers on your sites, opportunities, risks and markets.

Gaps in a market scored across a region, with the reasoning for one area

Site selection

Where to open next, from competitors, complementary businesses and the people within reach.

The places around one property, counted by type, ready for a risk profile

Risk profiles

What surrounds each insured property, across a commercial portfolio.

Two retail brands’ estates compared across a country, with their store counts over time

Market analysis

How brands and sectors spread across your markets, and how that’s changing month by month.

A dashboard of places across a country, with listings growth over time

Applications people use

Map explorers and dashboards on your data, set up properly in your own Google Cloud project.

We extend it, too. TimesFM is Google’s general-purpose machine learning model for forecasting, pretrained on a vast range of time series. We run it over the monthly history of places data to show where a market is heading, beyond where it stands today. It works on your own figures as well, from sales to footfall, with no model to build from scratch.

Describe the decision you’re making. We’ll tell you what the data says.

Other building blocks