Connect Google Classroom to BigQuery
Send Google Classroom courses, teachers, students and 3 more data types to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset google_classroom
coursesteachersstudentsannouncementscourseworks- 1 more data type
How to connect Google Classroom and BigQuery
4 steps. You can preview the Google Classroom data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Google Classroom
Sign in to Google Classroom and authorize Coupler.io. There's no API key to copy.
Sign in with Google Classroom
Step 2 of 4
Choose what to export
Pick the Google Classroom 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 Google Classroom 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 courses with fresh Google Classroom data.
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6 data types, including Courses, Teachers, Students, Announcements and Courseworks.
You sign in to Google Classroom 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 Google Classroom 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 100ms or Amazon Seller Central, and join or append them before the data reaches BigQuery.
