digital · build & content
Data & web scraping, governed like adults.
Somewhere in your industry, someone spends every Friday copying public data into a spreadsheet: competitor prices, tender listings, supplier availability, register entries. We replace that ritual with engineered pipelines: monitored, validated, and run under a compliance-first stance strict enough that we sometimes decline the job. That strictness is the feature.
what it's for
Market visibility, automated.
Price & catalogue watching
Competitor pricing and availability from public catalogues, tracked over time: the difference between "I think they moved" and a chart that shows when.
Tender & register monitoring
Public tenders, standards updates, licensing registers: the sources your industry already checks by hand, watched continuously with alerts when something relevant lands.
Datasets your tools can use
Collected data validated, structured and delivered where it works: a dashboard, your internal tools, a spreadsheet that fills itself. Collection is half the job; usability is the other.
the stance
Rules first, pipeline second.
What we collect
Public, non-personal data, gathered respectfully: rate-limited, robots.txt honoured, terms of service read before code is written. Personal information scraping is a Privacy Act problem we don't take on.
What we decline
Anything requiring the grey zone: circumventing access controls, harvesting personal data, uses we wouldn't defend in the open. We say no early and explain why. The project you want is rarely worth the letter you'd get.
How it's engineered
Monitored pipelines, not scripts taped to a page's layout: failures alert, parsers version, data validates on the way in. The difference between a scraper and a data asset is maintenance discipline.
straight answers
Asked often.
Is web scraping legal?
It depends on what, where and how: terms of service, copyright, and the Privacy Act all bear on it. Our stance is practical: public, non-personal data, collected respectfully within stated rules, for uses we'd defend in the open. If a request needs the grey zone, we decline and say why.
What do businesses actually use this for?
Market visibility, mostly: competitor pricing on public catalogues, supplier availability, tender and standards monitoring, aggregating public registers your industry already consults by hand. The pipeline replaces someone's Friday-afternoon copy-paste ritual.
Won't the data break every time a site changes?
It will if it's built as a script taped to a page's layout. We build monitored pipelines: failures alert, parsers version, data validates on the way in. Engineering, not duct tape. That's most of the difference between a scraper and a data asset.