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Web scraping and automated data pipelines.

Your competitors publish prices. Public registries publish company data. Job boards publish listings. We build scrapers that pull that data on a schedule, clean and deduplicate it, and pipe it into your database or dashboard — without you having to think about it.

Who this is for

Three patterns we see most often. If one of these sounds like your team, this service likely fits.

Pricing and market-intel teams

You need competitor prices, product availability, or market signals daily — and a junior intern with a browser isn't scaling.

Sales and lead-generation teams

You want clean contact lists from directories, registries, or events — without the cost of buying outdated data.

Data teams enriching internal databases

Your CRM has names and companies. You need everything else — funding rounds, sizes, tech stacks — pulled from public sources.

What you get

  • Scrapers built with Playwright or Scrapy, hardened against layout changes
  • Scheduled jobs running daily, hourly, or on-demand via API
  • Cleaning, deduplication, and validation built into the pipeline
  • Output to your database, a Google Sheet, an email digest, or all three
  • Proxy rotation and politeness rules so we don't get blocked
  • Monitoring that alerts you when a scraper starts returning bad data

Our approach

How a typical web scraping & data pipelines project moves from first call to live in production.

  1. 01

    Source discovery

    We identify the sites or APIs that have the data you need, check their terms, and pick a legal path.

  2. 02

    Build the extractor

    Playwright for JavaScript-heavy sites, Scrapy for high-volume static sites, API where one is available.

  3. 03

    Clean and structure

    Deduplication, normalisation, validation. Bad data is filtered before it reaches your database.

  4. 04

    Schedule and monitor

    Runs on a schedule. Alerts if a scraper breaks. You get clean data, not a maintenance project.

Stack we use

Boring, proven tools that other senior developers can maintain. No exotic choices that lock you in.

  • Python
  • Playwright
  • Node.js
  • PostgreSQL
  • Redis
  • BullMQ

Ready to start?

Get a scoped estimate within 24 hours, or book a 15-minute call to talk through your project.

Common questions

The questions clients ask most before starting a web scraping & data pipelines project.

Start your project

Have a project in mind?

Tell us what you're trying to build. We'll send a scoped estimate within 24 hours.

No sales pitch. No CRM autoresponders.