Connect Facebook Public Data to BigQuery
Send Facebook Public Data public pages statistics and public posts statistics to BigQuery on a schedule. Pick the pages and filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset facebook_public_data
public_pages_statisticspublic_posts_statistics
How to connect Facebook Public Data and BigQuery
6 steps. You can preview the Facebook Public Data data in Coupler.io before anything reaches BigQuery.
Step 1 of 6
Connect Facebook Public Data
Sign in to Facebook Public Data and authorize Coupler.io. There's no API key to copy.
Sign in with Facebook Public Data
Step 2 of 6
Choose what to export
Pick the Facebook Public Data data you want in BigQuery.
Step 3 of 6
Set the report period
Choose the date range the report covers.
Step 4 of 6
Fine-tune the export
Optional settings for this Facebook Public Data export.
Step 5 of 6
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Facebook Public Data data.
Step 6 of 6
Choose a write mode and schedule
Every run either replaces or appends the data in BigQuery. Run it as often as every 15 minutes.
Each run overwrites public_pages_statistics with fresh Facebook Public Data data.
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2 report types, including Public pages statistics and Public posts statistics.
You sign in to Facebook Public Data and authorize Coupler.io. There's no API key to copy.
Yes. Filter by published date to load the period you need.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Facebook Public Data data.
Refresh the source field list in Coupler.io and select the new column. If you define the BigQuery table schema manually, add the column there too.
On a schedule you choose, from monthly down to every 15 minutes, depending on your Coupler.io plan.
Yes. Add more sources to the same data flow, for example Instagram Insights or Facebook Page Insights, and join or append them before the data reaches BigQuery.
