Connect TickTick to BigQuery
Send TickTick tasks and projects to BigQuery on a schedule. Refresh as often as every 15 minutes.
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How to connect TickTick and BigQuery
4 steps. You can preview the TickTick data in Coupler.io before anything reaches BigQuery.
Step 1 of 4
Connect TickTick
Sign in to TickTick and authorize Coupler.io. There's no API key to copy.
Step 2 of 4
Choose what to export
Pick the TickTick 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 TickTick 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 tasks with fresh TickTick data.
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Build your TickTick integrations with these destinations
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Gather data
Understand data
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Act on data
2 data types, including Tasks and Projects.
You sign in to TickTick 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 TickTick 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 ClickUp or Airtable, and join or append them before the data reaches BigQuery.