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Web scraping & data pipelines

Reliable data from any source, on a schedule.

If a decision in your business depends on data that lives on someone else's website, I turn that into a reliable feed. Prices, stock, listings, public registers, competitor data: collected, cleaned, deduplicated, and delivered where you need it.

The hard part is rarely fetching a page. It is doing it reliably at scale, behind logins and anti-bot defences, and knowing the moment a source breaks so you never make decisions on stale or wrong numbers.

What you get

  • A complete dataset instead of a hand-checked sample
  • Fresh data on a schedule (daily, hourly, or on demand)
  • Validation and dedup so the numbers can be trusted
  • Alerts when a source changes or a run fails

Deliverables

  • Custom scraper with login + anti-bot handling
  • Normalisation into one clean schema
  • Output to Google Sheets, Excel, a database, or an API
  • Scheduling, monitoring, and error notifications

Common questions

Can you scrape sites that require a login?
Yes. Authenticated sessions, pagination, and anti-bot protection are the usual case, not the exception.
How do you handle a site that changes its layout?
Monitoring flags a broken run within a day, and maintenance is part of the Run phase, so the pipeline does not silently go stale.
Is web scraping legal?
I focus on publicly available data and respect each site's terms and rate limits. For anything sensitive, we scope it together up front.
Let's talk