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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.

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BigQuery dataset metricool
  • brands
  • facebook_competitors
  • facebook_stories
  • facebook_posts
  • facebook_reels
  • 16 more data types
Each Metricool data type lands in its own table. You pick the dataset and table names.
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Webtoon
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Stellar
Anker
ParentSquare
Bac 50
Benzinga
Matterport

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.

User token••••••••••••
User ID••••••••••••

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
Brand IDsNot setSpecify the brand IDs to export data from. Enter each brand ID on a new line.

Step 3 of 5

Fine-tune the export

Optional settings for this Metricool export.

Start dateAny dateSpecify the start date for data export. Defaults to 60 days back if not set.
End dateAny dateSpecify the end date for data export. Defaults to current date if not set.

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.

JSON key filecoupler-service-account.jsonKey file from a GCP service account
Dataset namemetricoolExactly as it appears in BigQuery
Table namebrandsExisting table or a new name to create
Autodetect table schemaOnOn by default. Turn off to define the schema as JSON

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.

Write mode

Each run overwrites brands with fresh Metricool data.

Get the most of Metricool to BigQuery integration

Gather data icon

Gather data

Export data from numerous apps and sources into a single destination. Blend data from different apps to get a single source of truth.
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Understand data

Preview, transform, sort, and filter data for better clarity in just a few clicks in the Coupler.io interface. Take your data analytics to the next level.
Automate data icon

Automate data

Access data that is always up to date by enabling the automatic data refresh on a schedule as often as every 15 minutes and using triggered automation.
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Act on data

Visualize your data by quickly connecting to data visualization and BI tools. Build insightful dashboards in a breeze and make better decisions.
Metricool to BigQuery questions

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.

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