Services

Web scraping & data

The data you check by hand, collected for you.

We build scrapers that collect public data from websites and marketplaces: competitor prices, product catalogues, reviews, listings. You get it clean and on a schedule, in a spreadsheet, a dashboard or your database. When a site changes, we fix the scraper, so the data keeps coming.

Sound familiar?

  • Someone checks competitor prices by hand every week.
  • We want to know what customers say about us and our competitors, across every site.
  • The list we need exists, but it's spread across dozens of websites.

What you get

Competitor and price tracking
Prices, stock and new products from competitor sites and marketplaces, with an alert when something changes.
Review reports
Reviews collected across sites and summarised: what people praise, what they complain about, and what's changing.
Datasets on demand
Product catalogues, listings and directories, cleaned, de-duplicated and ready to use.
Delivered where you work
Google Sheets, Excel, CSV, a dashboard, an API or straight into your database: daily, weekly or on demand.
Kept running
Every run is checked, so when a site changes we notice and fix it before your data goes stale.

How we work on it

You tell us the sites and the fields you need. We send a sample first so you can check it, then set the schedule and the delivery. After that it runs on its own, and we keep it working.

  1. 1κ 2.0

    Discover

    We start with the problem, not the feature list: who it's for, what's in the way, and what success looks like in numbers.

  2. 2κ 2.4

    Prototype

    We make the riskiest part real first, so decisions are based on something you can click, not a slide.

  3. 3κ 3.0

    Build

    Short cycles with working software every week. You see progress in a link, not a status report.

  4. 4κ 3.8

    Launch

    We ship carefully, with monitoring, analytics, performance budgets and a way back if something goes wrong.

  5. 5κ 5.6

    Evolve

    We measure what happened and improve what matters, or hand over cleanly with documentation your team will actually use.

Tools we reach for

  • Python
  • Headless browsers
  • LLM extraction
  • Scheduled jobs
  • Sheets, CSV, APIs or your database

Questions

Book a 20-min call (opens a booking calendar)