Scraping & Data

We collect public or partner web data at industrial scale. We deliver a data lake operated by us or deploy the pipeline in your own container.

The problem

DIY scraping ends up as fragile scripts that break weekly, dirty data nobody trusts, and zero monitoring. When the target changes its HTML you find out late — and corrupted data ends up in your model or dashboard.

Features
  • Resilient pipelines with retries, proxy rotation, and captcha handling

  • Automatic normalization and deduplication — consistent data on every run

  • Schemas validated with Pydantic / Zod: no garbage reaches production

  • Data lake hosted by us (Postgres + S3) or deployed in your own container

  • Cron scheduling + on-demand triggers via webhook or API

  • Health monitoring with alerts when a scraper fails or the target changes markup

Integrations

We deliver data wherever you need it: hosted data lake, your own Postgres, BigQuery, Snowflake, S3, or webhooks.

Playwright

Headless browser automation

Python / Node

Pipeline, parsing, and schema validation

Postgres + S3

Structured data lake and history

Your cloud

Optional deploy on your infra via Docker

What you get
Frequently asked questions

Is it legal to scrape these sites?

We work with public sites without restricted access. We respect robots.txt and reasonable rate limits. For private or paid data, we guide you toward legal alternatives (official APIs, source agreements).

What happens when the target site changes its HTML?

Monitoring detects the break automatically, you receive an immediate alert, and we have a 24-business-hour SLA to deliver the fix.

Can you integrate with my existing stack?

Yes. Postgres, BigQuery, Snowflake, S3, webhooks, Kafka — we export to whatever destination you already use. We can also keep the pipeline running in your own infrastructure.

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Ready when you
are.

30 minutes on Zoom. We listen and assess if we can help. If we're not the right fit, we'll point you to someone who is.

See our work