TickTick
Business software
Sync TickTick tasks, projects, and tag data into your warehouse. Ingest builds this connector the first time a customer asks for it, then keeps the tables current in a data warehouse you own, on the schedule you choose.
The TickTick connector syncs your task management data into analytics-ready tables in your data warehouse. Pull tasks, projects, and tags from the TickTick API, with Ingest handling auth, pagination, and retries so the tables stay current.
What you would get
Each of these arrives as its own table, kept current on the schedule you choose:
- Tasks
- Projects
- Tags
How it gets built
- Choose TickTick when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads TickTick's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against TickTick itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
OAuth2. Register an app in the TickTick Developer Center to get a client ID and secret.
You enter it once, in a form in Ingest, and it is kept in a secret store set aside for your organization.
Questions
- Does Ingest have a TickTick connector?
- Not as a finished connector yet. Ingest builds it from TickTick's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can TickTick data go to?
- Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL and Snowflake, in an account you own.
- Do I need to write code?
- No. Ingest builds, runs and maintains the connector. Someone with access to your warehouse connects it once, following a short guide.
TickTick API documentation: https://developer.ticktick.com/docs#/openapi
Where this would land, and what else connects
Setting up the destination is its own short guide, one per warehouse or lake: Amazon S3, Google Cloud Storage, Azure Blob Storage, Apache Iceberg, Ingest Managed Lakehouse, MotherDuck, Postgres, Amazon Athena, Databricks, Redshift, BigQuery, ClickHouse, MySQL / generic SQL, Snowflake.
Other sources Ingest connects for SaaS teams: Asana, Jira, Airtable, Clockify, Facebook Ads, Frankfurter.