gapfish / gfbi-facebook_ads_bigquery_etl

ETL based on google cloud function to save facebook ads statistics in google bigquery

Facebook ads to google bigQuery ETL

ETL based on cloud function (google cloud) that retrieves data from the Facebook Insight API: AdsInsights.Field.account_id, AdsInsights.Field.campaign_id, AdsInsights.Field.campaign_name, AdsInsights.Field.adset_name, AdsInsights.Field.adset_id, AdsInsights.Field.ad_name, AdsInsights.Field.ad_id, AdsInsights.Field.spend, AdsInsights.Field.impressions, AdsInsights.Field.clicks, AdsInsights.Field.actions, AdsInsights.Field.conversions

ETL uploads this data to Google Bigquery every day.

Getting Started

These instructions will get you a copy of the project up and running on your google cloud project for development and testing purposes.

• Secrets are loaded using the google cloud secrets API FACEBOOK_APP_ID FACEBOOK_APP_SECRET FACEBOOK_APP_TOKEN

Installing

Create scheduler for facebook ads ETL:

• Parameters can be passed as JSON String projectid: your google cloud project_id dataset_id: for example "facebook" table_id: for example "fb_stat" fb_account_id: your facebook account id without act since: start date - defaults to yesterday until: end date - defaults to yesterday

Example

{
    "project_id": "my_project",
    "dataset_id": "fb_data",
    "table_id": "ac_name",
    "fb_account_id": "number",
    "since": "2020-01-01",
    "until": "2020-02-01"
}

Authors

• Andrey Osipov Original Author
• Philipp Rosenbeck

License

This project is licensed under the MIT License - see the LICENSE.md file for details