Connect Customerly to BigQuery
Send Customerly leads and users to BigQuery on a schedule. Refresh as often as every 15 minutes.
BigQuery
dataset customerly
leadsusers
How to connect Customerly and BigQuery
4 steps. You can preview the Customerly data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Customerly
Enter your Customerly API key. You only do this once per account.
Step 2 of 4
Choose what to export
Pick the Customerly 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 Customerly 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 leads with fresh Customerly data.
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Build your Customerly integrations with these destinations
Get the most of Customerly to BigQuery integration
Gather data
Understand data
Automate data
Act on data
2 data types, including Leads and Users.
With your Customerly API key, 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 Customerly 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 GoHighLevel or Pipedrive, and join or append them before the data reaches BigQuery.
