crowd.dev
Business software
Sync crowd.dev member, activity, and organization 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 crowd.dev connector syncs your community analytics data into analytics-ready tables in your data warehouse. Pull members, activities, organizations, and conversations from the crowd.dev 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:
- Members
- Activities
- Organizations
- Conversations
How it gets built
- Choose crowd.dev when you set up a pipeline, with the warehouse it goes to and a schedule.
- Ingest reads crowd.dev's documentation, and you choose the tables you want.
- Ingest builds the connector and tests it against crowd.dev itself.
- A person at Ingest reviews and publishes it, and your pipeline starts on its own.
What you will need
Bearer token + Tenant ID. Find your Tenant ID and API Token in the crowd.dev app's Settings page.
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 crowd.dev connector?
- Not as a finished connector yet. Ingest builds it from crowd.dev's own documentation the first time a customer asks, tests it against the real service, and lists it once it passes.
- Which warehouses can crowd.dev 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.
crowd.dev API documentation: https://docs.crowd.dev/docs/product-docs
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.