RSS
Business software
Sync RSS feed item 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 RSS connector syncs your feed data into analytics-ready tables in your data warehouse. Pull feed items from any public RSS feed, with Ingest handling pagination and retries so the table stays current.
What you would get
Each of these arrives as its own table, kept current on the schedule you choose:
- Feed items
How it gets built
- Choose RSS when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads RSS's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against RSS itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
None. RSS is a public XML format fetched via a plain HTTP GET; the spec defines no credentials. A specific feed's own host may add auth, but that's a hosting choice, not part of the format.
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 RSS connector?
- Not as a finished connector yet. Ingest builds it from RSS's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can RSS 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.
RSS API documentation: https://www.rssboard.org/rss-specification
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.