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Tumblr

Business software

Built when you ask for it

Sync Tumblr posts, blogs, and note 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 Tumblr connector syncs your blogging data into analytics-ready tables in your data warehouse. Pull posts, blogs, and notes from the Tumblr 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:

  • Posts
  • Blogs
  • Notes

How it gets built

  1. Choose Tumblr when you set up a pipeline, with the warehouse it goes to and a schedule.
  2. Ingest reads Tumblr's documentation, and you choose the tables you want.
  3. Ingest builds the connector and tests it against Tumblr itself.
  4. A person at Ingest reviews and publishes it, and your pipeline starts on its own.

What you will need

OAuth 1.0a / OAuth2. Register an application at tumblr.com/oauth/apps to receive a consumer key 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 Tumblr connector?
Not as a finished connector yet. Ingest builds it from Tumblr's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
Which warehouses can Tumblr 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.

Tumblr API documentation: https://www.tumblr.com/docs/en/api/v2

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.

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