SpecStream for FivetranComing soon

What you get

• RECORD_VALUE, one row per valueEach value gets a row with its label, the value as shown, raw_value as JSON, source_url, and observed_at. RECORD keeps the same values as one JSON object per record.
• Resumes after each listThe connector checkpoints after every list it writes, so an interrupted sync picks up there. Clear lists_created_through in the state to sync everything again.
• What's new this weekEach scheduled run lands as a new LIST row with its created_at, so one query shows which records arrived this week and which run brought them.

Set it up

1. 1Start a Connector SDK project from the SpecStream template with fivetran init.
2. 2Put a SpecStream API key in configuration.json. The connector only reads, so a key with a $0 spending limit is enough.
3. 3Test the sync locally with fivetran debug, then deploy it to your destination with fivetran deploy.

The full setup guide has every step, with what to do if something doesn’t arrive.

• SupabaseLive web records upserted into your Postgres table
• AirbyteComing soonYour lists and their records, in any Airbyte destination
• dltComing soonRecords into DuckDB, BigQuery, Snowflake, or Postgres
• Meltanotap-specstream from PyPI, into any Singer target