Manage listings

As an Analytics Hub publisher, you can perform the following tasks:

  • Create listings in a data exchange for which you have publishing access.
  • Update, delete, share, and view usage metrics for listings.
  • Manage different roles for your BigQuery sharing (formerly Analytics Hub) listings, such as listing administrators, subscribers, and viewers.
  • View all subscribers who subscribed to your listing.
  • Monitor usage of your listings.
  • Remove subscribers from your listing.

A listing is a reference to a shared dataset that a publisher lists in a data exchange . A listing can be of the following two types based on the Identity and Access Management (IAM) policy that is set for the listing and the type of data exchange that contains the listing:

Before you begin

To get started with BigQuery sharing (formerly Analytics Hub), you need to enable the Analytics Hub API inside your Google Cloud project.

Required permissions

To enable the Analytics Hub API, you need the following Identity and Access Management (IAM) permissions:

  • serviceUsage.services.get
  • serviceUsage.services.list
  • serviceUsage.services.enable

The following predefined IAM role includes the permissions that you need to enable the Analytics Hub API:

  • roles/serviceusage.serviceUsageAdmin

For more information about IAM roles in BigQuery, see Predefined roles and permissions .

Enable the Analytics Hub API

To enable the Analytics Hub API, do the following:

Console

Go to the Analytics Hub APIpage and enable the Analytics Hub API for your Google Cloud project.

Enable the Analytics Hub API

gcloud

Run the gcloud services enable command:

gcloud services enable analyticshub.googleapis.com

Required permissions

To manage listings and subscriptions, you must have one of the following Analytics Hub roles:

  • Analytics Hub Publisher role ( roles/analyticshub.publisher ), which lets you create, update, delete, and set IAM policies on your listings.

  • Analytics Hub Listing Admin role ( roles/analyticshub.listingAdmin ), which lets you update, delete, and set IAM policies on your listings.

  • Analytics Hub Admin role ( roles/analyticshub.Admin ), which lets you create, update, delete, and set IAM policies on all listings in your data exchange.

For more information, see Analytics Hub user roles . To learn how to grant these roles to other users, see Create a listing administrator .

Additionally, to create listings, you must also have bigquery.datasets.get and bigquery.datasets.update permissions for the datasets for which you want to create listings. The following BigQuery predefined roles contain the bigquery.datasets.update permission:

  • BigQuery Data Owner role ( roles/bigquery.dataOwner )
  • BigQuery Admin role ( roles/bigquery.admin )

To view all data exchanges across projects in an organization that you have access to, you must have the resourcemanager.organizations.get permission. There are no BigQuery predefined roles that contain this permission so you would need to use an IAM custom role .

View data exchanges

To view the list of data exchanges in your organization that you have access to, see View data exchanges . If the data exchange is in another organization, then the Analytics Hub administrator must share a link to that data exchange with you.

Create a listing

A listing is a reference to a shared dataset that a publisher lists in a data exchange.

To create a listing, follow these steps:

Console

  1. Go to the Sharing (Analytics Hub)page.

    Go to Sharing (Analytics Hub)

    A page appears that lists all data exchanges that you can access.

  2. Click the data exchange name in which you want to create the listing.

  3. Click Create listing.

  4. In the Configure datasection, in the Resource typemenu, select BigQuery datasetor Pub/Sub Topic.

    • If you select BigQuery dataset, then do the following:

      1. In the Shared datasetmenu, select an existing dataset, or click Create a datasetto create a new dataset. Select the dataset that you want to list in the data exchange. The dataset must be in the same region as the data exchange. You cannot update this field after the listing is created. The source dataset name and the ID of the project that contains the dataset are returned when subscribers view the metadata of their linked dataset .

      2. Expand the Region data availabilitymenu ( Preview ) to make the shared dataset available in additional regions. The menu displays the regions where dataset replicas exist with the Ready to uselabel. Before configuring the listing for multiple regions, verify you've enabled cross-region dataset replication on the shared dataset, as you can select only regions where cross-region dataset replication is enabled. All other regions are labeled as Unavailable. If no additional region is selected, the listing uses the shared dataset primary region by default, which is labeled as Provider primary.

      3. In Data Egress controls, select the appropriate data egress option.

        • To apply data egress restrictions on your shared dataset, but not on query results of your shared dataset, select Disable copy and export of shared data.
        • To apply data egress restrictions on your shared dataset and query results of your shared dataset, select Disable copy and export of query results, which will automatically set Disable copy and export of shared dataas well.
        • To apply data API copy and export egress restrictions on your shared dataset, select Disable copy and export of tables through APIs, which will automatically set Disable copy and export of shared dataas well.
    • If you select Pub/Sub Topic, then in the Shared topicmenu, you can select an existing Pub/Sub topic, or click Create a topicto create a new topic.

  5. In the Listing detailssection, in Display name, enter the name of the listing.

  6. Enter the following optional details:

    • Category: select up to two categories that best represent your listing. Subscribers can filter listings based on these categories.

    • Data affinity: regions used by the publisher for publishing the data if you're using a Pub/Sub topic. This information is useful for subscribers to minimize or avoid Pub/Sub network egress costs by reading the data from the same region. For more information about egress costs, see Data transfer costs .

    • Icon: an icon for your listing. PNG and JPEG file formats are supported. Icons must have a file size of less than 512 KiB and dimensions of no more than 512 x 512 pixels.

    • Description: a brief description about your listing. Subscribers can search for listings based on the description.

    • Public Discoverability: enable public discoverability of your listing in the BigQuery sharing catalog. If you enable this option, grant allUsers or allAuthenticatedUsers the Analytics Hub Viewer role ( roles/analyticshub.viewer ). For more information, see Grant the role for a listing . If the exchange is already public , listing permissions are already inherited and no further action is required.

      Publicly discoverable exchanges can't have private listings due to permission inheritance, but private exchanges can have public listings. For public listings to be created, the project the data listing is in must have an associated organization and billing account. If you're creating a Cloud Marketplace-integrated commercial listing , we recommend making your listing publicly discoverable.

    • Documentation > Markdown: additional information such as links to any relevant documentation and any additional information that can help subscribers to use your topic.

  7. On the Listing contact informationsection, enter the following optional details:

    • Primary contact: enter an email ID or a URL of the primary contact for the listing.

    • Request access contact: enter an email ID or URL of the intake form for subscribers to contact you.

    • Provider: expand the Providersection and specify details in the following fields:

      • Provider name: the name of the topic provider.
      • Provider primary contact: an email ID or a URL of the topic provider's primary contact.

      Subscribers can filter listings based on the data providers.

    • Publisher: expand the Publishersection and specify details in the following fields:

      • Publisher name: the name of the publisher who's creating the listing.
      • Publisher primary contact: an email ID or a URL of the topic publisher's primary contact.
  8. Review the Listing previewsection.

  9. Click Publish.

API

Use the projects.locations.dataExchanges.listings.create method .

POST https://analyticshub.googleapis.com/v1/projects/ PROJECT_ID 
/location/ LOCATION 
/dataExchanges/ DATAEXCHANGE_ID 
/listings?listingId= LISTING_ID 

Replace the following:

  • PROJECT_ID : the project ID that contains the data exchange in which you want to create the listing.
  • LOCATION : the location for your data exchange. For more information about locations that support BigQuery sharing, see Supported regions .
  • DATAEXCHANGE_ID : the data exchange ID.
  • LISTING_ID : the listing ID.

In the body of the request, provide the listing details .

To create a listing for multiple regions ( Preview ), specify the additional regions in the bigqueryDataset.replicaLocations field in the request body. Before configuring the listing for multiple regions, verify you've enabled cross-region dataset replication on the shared dataset. You can select only regions where cross-region dataset replication is enabled. If this optional field is not included, the listing is created using the shared dataset's primary region.

If the request is successful, the response body contains details of the listing. If you enable subscriber email logging ( Preview ), the listing response contains log_linked_dataset_query_user_email: true .

For more information about the tasks that you can perform on listings using APIs, see projects.locations.dataExchanges.listings methods .

Create a listing from a dataset

You can also create a listing from a dataset by doing the following:

  1. In the Google Cloud console, go to the BigQuerypage.

    Go to BigQuery

  2. Click a dataset to view its details.

  3. Click Sharing > Publish as listing.

    The Create listingdialog opens.

  4. Select a data exchange to publish this listing in. The data exchange must be in the same region as the dataset. For more information about creating a data exchange, see create an exchange and set permissions .

  5. In the Shared datasetmenu, select an existing dataset, or click Create a datasetto create a new dataset. Select the dataset that you want to list in the data exchange. The dataset must be in the same region as the data exchange. You cannot update this field after the listing is created.

    The source dataset name and the ID of the project that contains the dataset are returned when subscribers view the metadata of their linked dataset .

  6. Expand the Region data availabilitymenu ( Preview ) to make the shared dataset available in additional regions. The menu displays the regions where dataset replicas exist with the Ready to uselabel. Before configuring the listing for multiple regions, verify you've enabled cross-region dataset replication on the shared dataset, as you can select only regions where cross-region dataset replication is enabled. All other regions are labeled as Unavailable. If no additional region is selected, the listing uses the shared dataset region by default, which is labeled as Provider primary.

  7. In Data Egress controls, select the appropriate data egress option.

    • To apply data egress restrictions on your shared dataset, but not on your query results of your shared dataset, select Disable copy and export of shared data.
    • To apply data egress restrictions on your shared dataset and query results of your shared dataset, select Disable copy and export of query results, which will automatically set Disable copy and export of shared dataas well.
    • To apply data API copy and export egress restrictions on your shared dataset, select Disable copy and export of tables through APIs, which will automatically set Disable copy and export of shared dataas well.
  8. In the Listing detailssection, in Display name, enter the name of the listing.

  9. Enter the following optional details:

    • Category: select up to two categories that best represent your listing. Subscribers can filter listings based on these categories.

    • Data affinity: region(s) used by the publisher for publishing the data. This information is useful for subscribers to minimize or avoid Pub/Sub network egress costs by reading the data from the same region. For more information about egress costs, see Data transfer costs .

    • Icon: an icon for your listing. PNG and JPEG file formats are supported. Icons must have a file size of less than 512 KiB and dimensions of no more than 512 x 512 pixels.

    • Description: a brief description about your listing. Subscribers can search for listings based on the description.

    • Public Discoverability: enable public discoverability of your listing in the BigQuery sharing catalog. If you enable this option, grant allUsers or allAuthenticatedUsers the Analytics Hub Viewer role ( roles/analyticshub.viewer ). For more information, see Grant the role for a listing . If the exchange is already public , listing permissions are already inherited and no further action is required.

      Publicly discoverable exchanges can't have private listings due to permission inheritance, but private exchanges can have public listings. For public listings to be created, the project the data listing is in must have an associated organization and billing account. If you're creating a Cloud Marketplace-integrated commercial listing , we recommend making your listing publicly discoverable.

    • Subscriber Email Logging: retain subscriber user emails for this listing's linked dataset usage. Once you enable and save email logging, this setting cannot be edited. To disable email logging, delete the listing and recreate it without clicking the Subscriber email loggingtoggle ( Preview ).

    • Documentation > Markdown: additional information such as links to any relevant documentation and any additional information that can help subscribers to use your topic.

  10. On the Listing contact informationsection, enter the following optional details:

    • Primary contact: enter an email ID or a URL of the primary contact for the listing.

    • Request access contact: enter an email ID or URL of the intake form for subscribers to contact you.

    • Provider: expand the Providersection and specify details in the following fields:

      • Provider name: the name of the topic provider.
      • Provider primary contact: an email ID or a URL of the topic provider's primary contact.

      Subscribers can filter listings based on the data providers.

    • Publisher: expand the Publishersection and specify details in the following fields:

      • Publisher name: the name of the publisher who's creating the listing.
      • Publisher primary contact: an email ID or a URL of the topic publisher's primary contact.
  11. Review the Listing previewsection.

  12. Click Publish.

Give users access to a listing

If you want to give users access to a private listing, you must set IAM policy for an individual or a group for that listing. For a commercial listing, your data exchange must be public . Listings in a public data exchange appear in BigQuery sharing for all Google Cloud users ( allAuthenticatedUsers ) . To enable users to browse and request access to commercial listings, you must grant users the Analytics Hub Viewer role . To enable users to subscribe to commercial listings, you must explicitly grant users the Analytics Hub Subscriber role . For Cloud Marketplace-integrated commercial listings , the Analytics Hub Subscriber role is automatically provisioned based on the Cloud Marketplace orders.

If you want to make your listing accessible to everyone, including people who don't use Google Cloud, you must grant allUsers the Analytics Hub Viewer role ( roles/analyticshub.viewer ).

To give users access to view or subscribe to your listing, follow these steps:

Console

  1. Go to the Sharing (Analytics Hub)page.

    Go to Sharing (Analytics Hub)

  2. Click the data exchange name that contains the listing.

  3. Click the listing for which you want to add subscribers.

  4. Click Set permissions.

  5. To add principals, click Add principal.

  6. In the New principalsfield, add the following details based on the type of listing:

    • For a private listing, enter email IDs of the identity to whom you want to grant access.

    • For a public listing, add allAuthenticatedUsers .

    • For a public listing discoverable to everyone, including non-Google Cloud users, add allUsers .

  7. For Select a role, hold the pointer over Analytics Hub, and then based on the type of listing, select one of the following roles:

    • For a commercial listing (including Cloud Marketplace-integrated listings), select the Analytics Hub Viewerrole. This role lets users view the listing and request access .

    • For a private or non-commercial public listing, select the Analytics Hub Subscriberrole. This role lets users subscribe to your listing .

    • For Cloud Marketplace-integrated listings, the Analytics Hub Subscriber role doesn't need to be granted, as subscriptions are automatically governed and managed based on the Cloud Marketplace order.

    For more information, see the Analytics Hub Subscriber and Viewer roles .

  8. Click Save.

    For more information, see the Analytics Hub Subscriber and Viewer roles .

  9. Click Save.

API

  1. Read the existing policy with the listing getIamPolicy method by using the projects.locations.dataExchanges.listings.getIamPolicy method .

    POST https://analyticshub.googleapis.com/v1/projects/ PROJECT_ID 
    /locations/ LOCATION 
    /dataExchanges/ DATAEXCHANGE_ID 
    /listings/ LISTING_ID 
    :getIamPolicy

    Replace the following:

    • PROJECT_ID : the project ID—for example, my-project-1 .
    • LOCATION : the location of the data exchange that contains the listing.
    • DATAEXCHANGE_ID : the data exchange ID.
    • LISTING_ID : the listing ID.

    Sharing returns the current policy in the response.

  2. To add or remove members and their associated roles, edit the policy with a text editor. Use the following format to add members:

    • user:test-user@gmail.com
    • group:admins@example.com
    • serviceAccount:test123@example.domain.com
    • domain:example.domain.com

    For example, to grant the roles/analyticshub.subscriber role to group:subscribers@example.com , add the following binding to the policy:

    {
     "members": [
       "group:subscribers@example.com"
     ],
     "role":"roles/analyticshub.subscriber"
    }
  3. Write the updated policy by using the projects.locations.dataExchanges.listings.setIamPolicy method . In the body of the request, provide the updated IAM policy from the previous step.

    POST https://analyticshub.googleapis.com/v1/projects/ PROJECT_ID 
    /location/ LOCATION 
    /dataExchanges/ DATAEXCHANGE_ID 
    /listings/ LISTING_ID 
    :setIamPolicy

    In the body of the request, provide the listing details. If the request is successful, then the response body contains details of the listing.

For more information about the tasks that you can perform on listings using APIs, see projects.locations.dataExchanges.listings methods .

Create a non-authenticated URL for public listing

To create a non-authenticated BigQuery sharing listing URL that is viewable to even non-Google Cloud users, do the following:

  1. Go to the Sharing (Analytics Hub)page.

    Go to Sharing (Analytics Hub)

    A page appears that lists all data exchanges that you can access.

  2. Click the data exchange name that contains the listing.

  3. Click the display name to view the listing details. The listing must have public discoverability enabled.

  4. Click Copy public linkto generate an unauthenticated listing URL. Make sure this listing grants allUsers the Analytics Hub Viewer role ( roles/analyticshub.viewer ).

Create a listing administrator

To let users manage listings, you must create listing administrators. To create listing administrators, you need to grant users the Analytics Hub Publisher or the Analytics Hub Listing Admin role at the listing level. For more information about how to grant these roles for a listing, see Grant the role for a listing .

View all subscriptions

To view all the current subscriptions to your listing, select one of the following options:

Console

  1. Go to the Sharing (Analytics Hub)page.

    Go to Sharing (Analytics Hub)

  2. Click the data exchange name that contains the listing for which you want to manage the subscriptions.

  3. Click the listing for which you want to list all subscribers.

  4. To view all subscribers of your listing, click Manage subscriptions.

    manage subscribers

  5. Optional: You can filter results by subscriber details.

Alternatively, if you have access to the shared dataset , you can follow these steps to list subscribers:

  1. Go to the BigQuerypage.

    Go to BigQuery

  2. In the Explorerpane, expand your project and select the shared dataset.

  3. In the Sharinglist, select Manage subscriptions.

SQL

The following example uses the INFORMATION_SCHEMA.SCHEMATA_LINKS view to list all the linked datasets linked to a shared dataset in myproject that are in the us region:

SELECT * FROM `myproject`.`region-us`.INFORMATION_SCHEMA.SCHEMATA_LINKS;

The output is similar to the following. Some columns are omitted to simplify the output.

+----------------+-------------+----------------------------+------------------------------+--------------------+--------------------------------+
|  catalog_name  | schema_name | linked_schema_catalog_name | linked_schema_catalog_number | linked_schema_name | linked_schema_org_display_name |
+----------------+-------------+----------------------------+------------------------------+--------------------+--------------------------------+
| myproject      | myschema1   | subscriptionproject1       |                 974999999291 | subscriptionld1    | subscriptionorg                |
| myproject      | myschema2   | subscriptionproject2       |                 974999999292 | subscriptionld2    | subscriptionorg                |
| myproject      | myschema3   | subscriptionproject3       |                 974999999293 | subscriptionld3    | subscriptionorg                |
+----------------+-------------+----------------------------+------------------------------+--------------------+--------------------------------+

For a listing with multiple regions ( Preview ), you can view the subscriptions across different regions by replacing the us region with the intended replica location. For example, to view the linked datasets linked to a shared dataset in myproject that are in the eu region, use the following query:

SELECT * FROM `myproject`.`region-eu`.INFORMATION_SCHEMA.SCHEMATA_LINKS;

API

Use the projects.locations.dataExchanges.listings.listSubscriptions method .

GET https://analyticshub.googleapis.com/v1/projects/ PROJECT_ID 
/location/ LOCATION 
/dataExchanges/ DATAEXCHANGE_ID 
/listings/ LISTING_ID 
:listSubscriptions

Replace the following:

  • PROJECT_ID : the project ID of the listing that you want to subscribe to.
  • LOCATION : the location for the listing that you want to subscribe to.
  • DATAEXCHANGE_ID : the data exchange ID that contains the listing that you want to subscribe to.
  • LISTING_ID : the ID of the listing that you want to subscribe to.

Remove a subscription

When you remove a subscription created before July 25, 2023 from your listings, the linked dataset gets unlinked from the shared dataset . Subscribers can still see the datasets in their projects but they are no longer linked with the shared dataset.

To remove a subscription created before July 25, 2023 from your listings, follow these steps:

  1. To list all subscribers of a listing, follow the Google Cloud console instructions in View all subscriptions .

  2. To remove a subscriber from a listing, click Delete. If you want to remove all subscriptions, click Remove all subscriptions.

  3. In the Remove subscription?dialog, enter remove to confirm.

  4. Click Remove.

To remove subscriptions created after July 25, 2023, follow these steps:

Console

  1. To list all subscribers of a listing, follow the Google Cloud console instructions in View all subscriptions .

  2. Click the Subscriptionstab.

  3. To remove a subscriber from a listing, select the Subscription(s) you would like to remove and click Remove Subscriptions.

  4. In the Remove subscription?dialog, enter remove to confirm.

  5. Click Remove.

API

Use the projects.locations.subscriptions.revoke method .

POST https://analyticshub.googleapis.com/v1/projects/ PROJECT_ID 
/location/ LOCATION 
/subscriptions/ SUBSCRIPTION_ID 
:revoke

Replace the following:

  • PROJECT_ID : the project ID of the subscription that you want to remove.
  • LOCATION : the location of the subscription that you want to remove.
  • SUBSCRIPTION : the ID of the subscription that you want to remove.

Update a listing

To update a listing, follow these steps:

Console

  1. Go to the Sharing (Analytics Hub)page.

    Go to Sharing (Analytics Hub)

  2. Click the data exchange name that contains the listing.

  3. Click the listing that you want to update.

  4. Click Edit listing.

  5. Modify values in the fields. You can modify all values except the source dataset of the listing.

  6. Optional:

    • If you enable public discoverability, grant allUsers or allAuthenticatedUsers the Analytics Hub Viewer role ( roles/analyticshub.viewer ). For more information, see Grant the role for a listing
    • If you disable public discoverability, remove the Analytics Hub Viewer role from allUsers and allAuthenticatedUsers . Public exchanges can't have private listings, but private exchanges can have public listings.
    • If you enable and save subscriber email logging, this setting cannot be edited. To disable email logging, delete the listing and recreate it without clicking the Subscriber email loggingtoggle ( Preview ).
    • Add or remove regions from the listing ( Preview ). Before adding multiple regions, verify you've enabled cross-region dataset replication on the shared dataset. When removing regions, delete the shared dataset replica in that region first.
  7. Preview the listing.

  8. To save changes, click Save. To avoid discrepancies with Cloud Marketplace-integrated listings, a notification appears that prompts an update to the Cloud Marketplace data product listing.

API

Use the projects.locations.dataExchanges.listings.patch method .

PATCH https://analyticshub.googleapis.com/v1/projects/ PROJECT_ID 
/location/ LOCATION 
/dataExchanges/ DATAEXCHANGE_ID 
/listings/ LISTING_ID 
?updateMask= UPDATEMASK 

Replace UPDATEMASK with the list of fields that you want to update. For updating multiple values, use a comma-separated list. In the body of the request, specify the updated values.

In the body of the request, specify the updated values for the following fields:

  • Display name
  • Description
  • Categories
  • Documentation
  • Icon
  • Primary contact
  • Public discoverability
  • Subscriber email logging ( Preview )

For details on these fields, see Resource: Listing .

When updating the replica regions for your listing, ensure that you specify all applicable regions. Before updating the listing, verify you've enabled cross-region dataset replication on the shared dataset. You can add only regions ( Preview ) where the shared dataset is replicated. To remove a region, delete the shared dataset replica for the region before removing it from the listing. You can update replica regions only for newly created listings for multiple regions. You can't convert pre-existing listings to listings for multiple regions.

For more information about the tasks that you can perform on listings using APIs, see projects.locations.dataExchanges.listings methods .

Delete a listing

When you delete a listing, subscribers can no longer view the listing . Deleting a listing also deletes all the linked datasets and removes all the subscriptions from your subscribers' projects. If a dataset remains linked, remove the dataset manually by clicking Sharing > Manage Subscription. The Subscriptionspage opens, where you can remove a specific subscriber dataset or all subscriber datasets at once.

You can't delete Cloud Marketplace-integrated listings with active commercial subscriptions. Revoke all commercial subscriptions before you delete the listing.

Deleting a listing for multiple regions ( Preview ) doesn't delete the shared dataset replicas. After deleting the listing for multiple regions, subscribers can no longer view the listing or query the linked datasets. If the shared dataset replicas aren't referenced in other listings, you can choose to delete them .

Before deleting a listing for multiple regions ( Preview ), ensure there are no active subscriptions associated with it. If active subscriptions exist, you must first revoke them using the projects.locations.subscriptions.revoke method . After all the active subscriptions are removed, you can proceed with deleting the listing for multiple regions.

To delete a listing, follow these steps:

Console

  1. Go to the Sharing (Analytics Hub)page.

    Go to Sharing (Analytics Hub)

  2. Click the data exchange name that contains the listing.

  3. Click the listing that you want to delete.

  4. Click Delete.

  5. In the Delete listing?dialog, confirm deletion by typing delete.

  6. Click Delete.

API

Use the projects.locations.dataExchanges.listings.delete method .

DELETE https://analyticshub.googleapis.com/v1/projects/ PROJECT_ID 
/location/ LOCATION 
/dataExchanges/ DATAEXCHANGE_ID 
/listings/ LISTING_ID 

For more information about the tasks that you can perform on listings using APIs, see projects.locations.dataExchanges.listings methods .

To increase visibility and awareness of your listing in the BigQuery sharing catalog, listings can be displayed in the Featuredsection. Featured listings are governed by the Google Cloud Partner Advantage Agreement.

Partners that are interested in their listings being in the Featuredsection of the BigQuery sharing catalog must meet the following criteria:

To request your listing to be in the Featuredsection, complete and submit the intake form . To request that your listing be removed from the section, submit the same intake form .

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