Connect Blogger to BigQuery
Send Blogger users, blogs, posts and 2 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
blogger
usersblogspostspagescomments
How to connect Blogger and BigQuery
4 steps. You can preview the Blogger data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Blogger
Sign in to Blogger and authorize Coupler.io. There's no API key to copy.
Step 2 of 4
Choose what to export
Pick the Blogger data you want in BigQuery.
Step 3 of 4
Connect BigQuery
Upload the JSON key file from your Google Cloud service account, then enter the dataset and table for the Blogger data.
Step 4 of 4
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 users with fresh Blogger data.
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5 data types, including Users, Blogs, Posts, Pages and Comments.
You sign in to Blogger and authorize Coupler.io. There's no API key to copy.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Blogger 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.