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Export from Facebook Marketing to BigQuery

CloudQuery is an open-source data integration platform that allows you to export data from any source to any destination.

The CloudQuery Facebook Marketing plugin allows you to sync data from Facebook Marketing to any destination, including BigQuery. It takes only minutes to get started.

facebookmarketing
Official
Premium

Facebook Marketing

The Facebook Marketing source plugin for CloudQuery extracts information from the Facebook marketing API

Publisher

cloudquery

Latest version

v4.1.1

Type

Source

Platforms
Date Published

Feb 20, 2024

Price per 1M rows

$100

free quota

1M rows

BigQuery
bigquery
Official

BigQuery

The BigQuery plugin syncs data from any CloudQuery source plugin(s) to a BigQuery database running on Google Cloud Platform

Publisher

cloudquery

Repositorygithub.com
Latest version

v3.4.1

Type

Destination

Platforms
Date Published

Feb 20, 2024

Price

Free

MacOS Setup

Step 1. Install CloudQuery

brew install cloudquery/tap/cloudquery

Step 2. Log in to CloudQuery CLI

Logging in is required to use premium plugins and premium tables in open-core plugins.

cloudquery login

Step 3. Configure Facebook Marketing source plugin

You can find more information about the configuration in the plugin documentation

kind: source
spec:
  # Source spec section
  name: facebookmarketing
  path: cloudquery/facebookmarketing
  registry: cloudquery
  version: "v4.1.1"
  tables: ["*"]
  destinations: ["bigquery"]
  spec:
    # Facebook Marketing Spec section
    # You can find the ad_account_id in the Facebook Ads Manager: https://www.facebook.com/ads/manager/accounts/
    ad_account_id: "AD_ACCOUNT_ID"
    # See the "authentication section" on how to create an access token
    access_token: "ACCESS_TOKEN"

Step 4. Configure BigQuery destination plugin

You can find more information about the configuration in the plugin documentation

kind: destination
spec:
  name: bigquery
  path: cloudquery/bigquery
  registry: cloudquery
  version: "v3.4.1"
  write_mode: "append"
  spec:
    project_id: ${PROJECT_ID}
    dataset_id: ${DATASET_ID}
    # Optional parameters
    # dataset_location: ""
    # time_partitioning: none # options: "none", "hour", "day"
    # service_account_key_json: ""
    # endpoint: ""
    # batch_size: 10000
    # batch_size_bytes: 5242880 # 5 MiB
    # batch_timeout: 10s

Step 5. Run Sync

cloudquery sync facebookmarketing.yml bigquery.yml
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