Services
Automation & Data Extraction
Getting data out of systems that would rather you didn't.
Extraction is easy to prototype and hard to keep running. The prototype breaks on a layout change, a rate limit, or a challenge page, and by then it has been quietly returning empty results for a week.
We build for the running state: self-healing crawlers, distinct alerts per failure mode, and pipelines that tell you when they stop working.
What this covers
- →Browser automation on Chromium and the DevTools Protocol
- →Crawlers that stay running at scale, with self-healing and rotation
- →Anti-bot handling and session management
- →Scheduled extraction pipelines with monitoring and alerting
- →OCR and document extraction
Stacks we use for this
- Go
- Python
- Rust
Common questions
Is web scraping legal?
It depends on the source, the jurisdiction, the data, and the terms you agreed to. We will not build extraction that breaches a contract you are bound by or that collects personal data without a lawful basis. Where the target is ambiguous, we say so before quoting rather than after.
What happens when the target site changes?
It will, so extraction is built to fail loudly rather than silently return empty results. Selector drift, layout changes, and challenge pages each raise a distinct alert, because they need different fixes.
Have something hard to build?
Tell us what you are working on. If we are not the right people for it, we will say so and point you somewhere better.
Book a technical call