Connect Metricool to BigQuery
Send Metricool brands, facebook competitors, facebook stories and 18 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
metricool
brandsfacebook_competitorsfacebook_storiesfacebook_postsfacebook_reels- 16 more data types
How to connect Metricool and BigQuery
5 steps. You can preview the Metricool data in Coupler.io before anything reaches BigQuery.
Step 1 of 5
Connect Metricool
Enter your Metricool user token and user ID. You only do this once per account.
Step 2 of 5
Choose what to export
Pick the Metricool data you want in BigQuery.
Show 13 more data types Show fewer data types
Step 3 of 5
Fine-tune the export
Optional settings for this Metricool export.
Step 4 of 5
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Metricool data.
Step 5 of 5
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 brands with fresh Metricool data.
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21 data types, including Brands, Facebook competitors, Facebook stories, Facebook posts and Facebook reels.
With your Metricool user token and user ID, entered once when you add the connection.
Yes. Set the start date and end date to cover 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 Metricool 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.