Brandon Mensing

We sweep up after your scrapers.

In a bike race, the broom wagon follows the peloton and makes sure every rider reaches the finish. Broomwagon does that for data pipelines: deterministic utilities that clean, validate, dedupe, and monitor scraped data, at volumes where an inline LLM call is slow, expensive, and unrepeatable.

Why deterministic? Same input, same output, every run. Audit trails, predictable cost per row, and no hallucinated "fixes". Exactly what you want sitting between a scraper and production.

Built for pipelines. Every Broomwagon Actor accepts a datasetId, so you can pipe another Actor's output straight in. Pay-per-event pricing, no browsers, no proxies, lean compute. Works via API, webhooks, n8n, Make, and MCP (AI agents welcome).

Questions, or a utility you wish existed? Open an issue on any Actor. Response within a business day.