Set up Places Insights

Places Insights lets you enhance your own data with statistical insights about points of interest data to make more informed business decisions.

Before you can query Places Insights data, you must first sign up to get access to the Places Insights product. Once your account has been onboarded, you will be able to subscribeto the Places Insights dataset for your target country.

Prerequisites

To access the Places Insights data, you must:

  1. Sign up to request access to Places Insights.

  2. Have a Google Cloud account.

    If you don't have an account, click the Get Startedbutton that links to an interactive setup experience in the Cloud console for new users:

    Get Started

  3. Enable the BigQuery API. For instructions on enabling BigQuery and for a tutorial on using BigQuery, see Query a public dataset with the Google Cloud console .

  4. Enable the Analytics Hub API .

  5. Ensure that your account has the Analytics Hub Subscription Owner ( roles/analyticshub.subscriptionOwner ) role to perform subscriber tasks.

  6. Ensure that your account has the BigQuery User ( roles/bigquery.user ) role to create datasets.

    For more information, see View and subscribe to listings .

Places Insights data is available for the cities and countries listed in the table below . Each city and country has its own data listing that you must subscribe to individually.

To subscribe to a listing:

  1. Select the subscribe link for the city of interest from the table below .

  2. A dialog opens for that country in the Google Cloud console. For example for the New York City, United States (US) listing:

    Subscribe to the United States listing.

  3. Select the Subscribebutton in the dialog.

  4. Confirm or edit the Project, Linked dataset name, Primary region, and Replica regionsin the dialog. You can choose to use the default listing name or you can optionally set the name to use your own naming convention.

    Confirm or edit listing information.

  5. Select Save.

  6. When complete, the table subscription appears in the BigQuery Explorerpanel in the Google Cloud console. In your SQL queries, use the table name shown below to access the data.

    New York City, United States listing in the BigQuery Explorer panel.

Available listings

The following tables list the supported cities and countries and provide links to subscribe. You can subscribe to sample data and full data for each city and country.

Sample data

City, Country Subscribe link Table names
Sydney, Australia
AU

places_insights___au___sample.places_sample

Sao Paulo, Brazil
BR

places_insights___br___sample.places_sample

Toronto, Canada
CA

places_insights___ca___sample.places_sample

Paris, France
FR

places_insights___fr___sample.places_sample

Berlin, Germany
DE

places_insights___de___sample.places_sample

Mumbai, India
IN

places_insights___in___sample.places_sample

Jakarta, Indonesia
ID

places_insights___id___sample.places_sample

Rome, Italy
IT

places_insights___it___sample.places_sample

Tokyo, Japan
JP

places_insights___jp___sample.places_sample

Mexico City, Mexico
MX

places_insights___mx___sample.places_sample

Madrid, Spain
ES

places_insights___es___sample.places_sample

Zurich, Switzerland
CH

places_insights___ch___sample.places_sample

London, United Kingdom
GB

places_insights___gb___sample.places_sample

New York City, United States
US

places_insights___us___sample.places_sample

places_insights___us___sample.brands

Full data

Country Subscribe link Table names
Australia
AU

places_insights___au.places

Brazil
BR

places_insights___br.places

Canada
CA

places_insights___ca.places

France
FR

places_insights___fr.places

Germany
DE

places_insights___de.places

India
IN

places_insights___in.places

Indonesia
ID

places_insights___id.places

Italy
IT

places_insights___it.places

Japan
JP

places_insights___jp.places

Mexico
MX

places_insights___mx.places

Spain
ES

places_insights___es.places

Switzerland
CH

places_insights___ch.places

United Kingdom
GB

places_insights___gb.places

United States
US

places_insights___us.places

places_insights___us.brands

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