Data Sourcing

Point-and-configure scrapers — no code
Schedule runs and watch them on a Gantt timeline
Deliver to Postgres, S3, BigQuery, Snowflake, webhooks
Built-in data quality + freshness SLAs

Any source

on your schedule

Describe a source once
Run it on cron or on a trigger
Ship clean data wherever you need it

Configure once, no code required

Build a source by describing what to fetch and how to parse it — listings, detail pages, fields, pagination. Our generic scraping engine handles rendering, retries and rate-limiting for you, so you focus on the data, not the plumbing. Iterate fast with a one-click test run that returns sample records in seconds.

Deliver anywhere

Fan out every run to the destinations you already use: Postgres, CSV download, S3 / filesystem, webhooks, and warehouses like BigQuery, Snowflake, Redshift and DuckDB. Credentials are encrypted at rest, and any undelivered records land in a dead-letter queue you can retry. See pricing here.

Trust your data

Every source can carry data-quality checks and a freshness SLA, so you know the moment a feed goes stale or starts returning bad records. Per-run cost attribution and run analytics give you full visibility into what you're spending and how each source performs — no manual SQL required.

Pricing

Pick the plan that fits your data needs

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