Expedia
Business software
Sync Expedia bookings, property, and rate 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 Expedia connector syncs your travel booking data into analytics-ready tables in your data warehouse. Pull bookings, properties, and rates from the Expedia Group Rapid 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:
- Bookings
- Properties
- Rates
How it gets built
- Choose Expedia when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads Expedia's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against Expedia itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
API key + signature (partner-gated). Access requires becoming an approved Expedia partner through the Partner Portal; a key stays in restricted development mode until Expedia approves a production review.
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 Expedia connector?
- Not as a finished connector yet. Ingest builds it from Expedia's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can Expedia 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.
Expedia API documentation: https://developers.expediagroup.com/docs/products/rapid/setup/getting-started
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.