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Export from Facebook Marketing to Google Cloud Storage

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 Google Cloud Storage. 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

v4.5.0

Type

Source

Platforms
Date Published

gcs
Official

Google Cloud Storage

This destination plugin lets you sync data from a CloudQuery source to remote GCS (Google Cloud Storage) storage in various formats such as CSV, JSON and Parquet

Publisher

cloudquery

Repositorygithub.com
Latest version

v5.1.4

Type

Destination

Platforms
Date Published

Windows Setup

Step 1. Install CloudQuery

curl -L https://github.com/cloudquery/cloudquery/releases/download/cli-v5.25.0/cloudquery_windows_amd64.exe -o cloudquery.exe

Step 2. Log in to CloudQuery CLI

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: "v4.5.0"
  tables: ["*"]
  destinations: ["gcs"]
  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 Google Cloud Storage destination plugin

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

kind: destination
spec:
  name: "gcs"
  path: "cloudquery/gcs"
  registry: "cloudquery"
  version: "v5.1.4"
  write_mode: "append"
  spec:
    bucket: "bucket_name"
    path: "path/to/files/{{TABLE}}/{{UUID}}.{{FORMAT}}"
    format: "parquet" # options: parquet, json, csv
    format_spec:
      # CSV-specific parameters:
      # delimiter: ","
      # skip_header: false

    # Optional parameters
    # compression: "" # options: gzip
    # no_rotate: false
    # batch_size: 10000
    # batch_size_bytes: 52428800 # 50 MiB
    # batch_timeout: 30s

Step 5. Run Sync

cloudquery sync facebookmarketing.yml gcs.yml

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