Connect Twilio TaskRouter to BigQuery
Send Twilio TaskRouter workspaces and workers to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset twilio_taskrouter
workspacesworkers
How to connect Twilio TaskRouter and BigQuery
4 steps. You can preview the Twilio TaskRouter data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Twilio TaskRouter
Enter your Twilio TaskRouter account SID and auth token. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Twilio TaskRouter 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 Twilio TaskRouter 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 workspaces with fresh Twilio TaskRouter data.
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Build your Twilio TaskRouter integrations with these destinations
Get the most of Twilio TaskRouter to BigQuery integration
Gather data
Understand data
Automate data
Act on data
2 data types, including Workspaces and Workers.
With your Twilio TaskRouter account SID and auth token, entered once when you add the connection.
Yes. If the table doesn't exist in the dataset you choose, Coupler.io creates it on the first run and fills it with Twilio TaskRouter 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.
