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.