About Datahoom
Datahoom is focused on practical, maintainable data extraction work: clear specs, clean deliverables, and pipelines that don’t collapse the moment a page layout changes.
How we work
- Define scope: target URLs, fields, rules, volume, and output format.
- Prove with a sample: a small extract to validate schema and edge cases.
- Scale safely: robust retries, throttling, and consistency checks.
- Deliver clean output: CSV/JSON/DB-ready tables with documentation.
Tooling
We choose the lightest reliable approach for the job (static requests where possible, headless browsing when necessary).
- Python / Node-based scrapers and parsers
- Headless browsing when dynamic rendering requires it
- Data validation, normalization, and schema documentation
- Scheduling and maintenance plans for ongoing pipelines
Have a dataset in mind?
Send a few example URLs and the fields you need. We’ll respond with questions and a ballpark.