Connect Help Scout to BigQuery
Send Help Scout customers, users, conversations and 8 more data types to BigQuery on a schedule. Filter by date. Refresh as often as every 15 minutes.
BigQuery
dataset help_scout
customersusersconversationsconversation_threadsinboxes- 6 more data types
How to connect Help Scout and BigQuery
4 steps. You can preview the Help Scout data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect Help Scout
Sign in to Help Scout and authorize Coupler.io. There's no API key to copy.
Sign in with Help Scout
Step 2 of 4
Choose what to export
Pick the Help Scout data you want in BigQuery.
Show 3 more data types Show fewer data types
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 Help Scout 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 customers with fresh Help Scout data.
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11 data types, including Customers, Users, Conversations, Conversation threads and Inboxes.
You sign in to Help Scout and authorize Coupler.io. There's no API key to copy.
Yes. Set the start 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 Help Scout 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.
