science This product or feature is in Preview (pre-GA). Pre-GA products and features might have limited support, and changes to pre-GA products and features might not be compatible with other pre-GA versions. Pre-GA Offerings are covered by the
Google Maps Platform Service Specific Terms. For more information, see the
launch stage descriptions.
Sign up to test Places Insights!
Set up Places Insights
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Save and categorize content based on your preferences.
In the Preview release, Places Insights provides city-specific data in BigQuery
data clean rooms for
the target countries. Data clean rooms provide a security-enhanced environment
in which multiple parties can share, join, and analyze their data assets without
moving or revealing the underlying data.
Before you can write SQL queries against the data in a clean room, you must
first sign up
to get access to the Places Insights product. Once your account
has been onboarded, you will be able to subscribe to the clean room for your
target country.
Prerequisites
To access the Places Insights data in a clean room, you must:
Sign up
to test Places Insights.
Have a Google Cloud account.
If you don't have an account, click the Get Started button that links to
an interactive setup experience in the Cloud console for new
users:
Get Started
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.
Enable the Analytics Hub API.
Ensure that your account has the Analytics Hub Subscriber
(roles/analyticshub.subscriber
) and Analytics Hub Subscription
Owner
(roles/analyticshub.subscriptionOwner
) roles to perform subscriber tasks
on the data clean rooms.
Ensure that your account has the BigQuery User
(roles/bigquery.user
) role to create datasets.
For more information, see Additional subscriber
permissions.
Subscribe to a data clean room
Places Insights data is available for the cities and countries listed in the
table below. Each city and country has its own data
clean room that you must subscribe to individually.
To subscribe to a clean room:
Select the subscribe link for the city of interest from the table
below.
A dialog opens for that country in the Google Cloud console. For example
for the New York City, United States (US) clean room:

Select the Subscribe button in the dialog.
When complete, the table subscription appears in the BigQuery Explorer
panel in the Google Cloud console. In your SQL queries, use the table name
shown below to access the data.

Available clean rooms
The following table lists the supported cities and countries:
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
|
London, Great Britian | GB |
places_insights___gb___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
|
New York City, United States | US |
places_insights___us___sample.places_sample
places_insights___us___sample.brands
|
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2025-07-25 UTC.
[null,null,["Last updated 2025-07-25 UTC."],[],[],null,["In the Preview release, Places Insights provides city-specific data in BigQuery\n[data clean rooms](https://cloud.google.com/bigquery/docs/data-clean-rooms) for\nthe target countries. Data clean rooms provide a security-enhanced environment\nin which multiple parties can share, join, and analyze their data assets without\nmoving or revealing the underlying data.\n\nBefore you can write SQL queries against the data in a clean room, you must\nfirst [sign up](https://docs.google.com/forms/d/e/1FAIpQLSetyVSIJc2U4C8rn7Z2olWhK9MEbD_YPadqHuPO3SE-yL21yg/viewform)\nto get access to the Places Insights product. Once your account\nhas been onboarded, you will be able to **subscribe** to the clean room for your\ntarget country.\n\nPrerequisites\n\nTo access the Places Insights data in a clean room, you must:\n\n1. [Sign up](https://docs.google.com/forms/d/e/1FAIpQLSetyVSIJc2U4C8rn7Z2olWhK9MEbD_YPadqHuPO3SE-yL21yg/viewform)\n to test Places Insights.\n\n2. Have a [Google Cloud](https://cloud.google.com/) account.\n\n If you don't have an account, click the **Get Started** button that links to\n an interactive setup experience in the Cloud console for new\n users:\n\n [Get Started](https://console.cloud.google.com/google/maps-apis/start?utm_source=Docs_GS_Button&ref=https://developers.google.com/maps/&utm_content=Docs_Central)\n3. Enable the BigQuery API. For instructions on enabling BigQuery and for a\n tutorial on using BigQuery, see [Query a public dataset with the Google Cloud console](https://cloud.google.com/bigquery/docs/quickstarts/query-public-dataset-console).\n\n4. Enable the [Analytics Hub API](https://console.cloud.google.com/apis/api/analyticshub.googleapis.com/metrics).\n\n5. Ensure that your account has the [Analytics Hub Subscriber](https://cloud.google.com/bigquery/docs/analytics-hub-grant-roles#ah-subscriber-role)\n (`roles/analyticshub.subscriber`) and [Analytics Hub Subscription\n Owner](https://cloud.google.com/bigquery/docs/analytics-hub-grant-roles#ah-subscription-owner-role)\n (`roles/analyticshub.subscriptionOwner`) roles to perform subscriber tasks\n on the data clean rooms.\n\n6. Ensure that your account has the [BigQuery User](https://cloud.google.com/bigquery/docs/access-control#bigquery.user)\n (`roles/bigquery.user`) role to create datasets.\n\n For more information, see [Additional subscriber\n permissions](https://cloud.google.com/bigquery/docs/data-clean-rooms#additional_subscriber_permissions).\n\nSubscribe to a data clean room\n\nPlaces Insights data is available for the cities and countries listed in the\n[table below](#available-clean-rooms). Each city and country has its own data\nclean room that you must subscribe to individually.\n\nTo subscribe to a clean room:\n\n1. Select the subscribe link for the city of interest from the [table\n below](#available-clean-rooms).\n\n2. A dialog opens for that country in the Google Cloud console. For example\n for the New York City, United States (US) clean room:\n\n3. Select the **Subscribe** button in the dialog.\n\n4. When complete, the table subscription appears in the BigQuery **Explorer**\n panel in the Google Cloud console. In your SQL queries, use the table name\n shown below to access the data.\n\nAvailable clean rooms\n\nThe following table lists the supported cities and countries:\n\n| City, Country | Subscribe link | Table names |\n|------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------|\n| Sydney, Australia | [AU](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_AU_sample) | `places_insights___au___sample.places_sample` |\n| Sao Paulo, Brazil | [BR](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_BR_sample) | `places_insights___br___sample.places_sample` |\n| Toronto, Canada | [CA](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_CA_sample) | `places_insights___ca___sample.places_sample` |\n| Paris, France | [FR](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_FR_sample) | `places_insights___fr___sample.places_sample` |\n| Berlin, Germany | [DE](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_DE_sample) | `places_insights___de___sample.places_sample` |\n| London, Great Britian | [GB](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_GB_sample) | `places_insights___gb___sample.places_sample` |\n| Mumbai, India | [IN](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_IN_sample) | `places_insights___in___sample.places_sample` |\n| Jakarta, Indonesia | [ID](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_ID_sample) | `places_insights___id___sample.places_sample` |\n| Rome, Italy | [IT](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_IT_sample) | `places_insights___it___sample.places_sample` |\n| Tokyo, Japan | [JP](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_JP_sample) | `places_insights___jp___sample.places_sample` |\n| Mexico City, Mexico | [MX](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_MX_sample) | `places_insights___mx___sample.places_sample` |\n| Madrid, Spain | [ES](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_ES_sample) | `places_insights___es___sample.places_sample` |\n| Zurich, Switzerland | [CH](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_CH_sample) | `places_insights___ch___sample.places_sample` |\n| New York City, United States | [US](https://console.cloud.google.com/bigquery;cameo=analyticshub;pageName=exchange-detail;pageResource=maps-platform-analytics-hub.us.places_insights_US_sample) | `places_insights___us___sample.places_sample` `places_insights___us___sample.brands` |"]]