AI Training Data
Collect, clean and structure web corpora for model training and RAG.
What gets in the way
Training and retrieval pipelines need volume, freshness and cleanliness at the same time. Raw crawls are full of boilerplate, duplicates and markup that quietly poison embeddings.
How Irmu solves it
Irmu handles collection and cleaning in one pass: high-throughput fetching with automatic unblocking, boilerplate stripping, markdown conversion and optional schema extraction, delivered straight to object storage.
The pipeline, step by step
- 01
Seed the crawl
Provide domains, sitemaps or search queries as entry points.
- 02
Fetch at volume
High-volume crawling with automatic retry and dedupe.
- 03
Clean and convert
Boilerplate removal, markdown output and language detection.
- 04
Deliver to storage
Stream results to S3, GCS or your warehouse in JSONL.
A request from this pipeline
GET /api/scrape
?url=https://docs.example.com/guide
&format=markdown
&clean=trueTry it on your own targets
The free plan is enough to run this workflow end to end on a handful of pages. If you want help sizing it for production volume, send us your target list and we'll go through it with you.
Talk to us →Integrations in this workflow
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Start building with Irmu today
1,000 free credits every month, no card required. Every API, every integration, one key.