Metrics Merchant

Data & Automation

Collect, process, automate

Tell me what data you need, and I'll build a system that collects, processes and delivers it automatically. Three parts of one system — most projects start with data collection and grow into the rest as needed.

Data Collection

I build reliable systems that collect structured information from websites, APIs and other sources — however often you need it.

  • Web scraping
  • Website & API data extraction
  • Competitor monitoring
  • Product & pricing monitoring
  • Structured data extraction
  • Scheduled data collection

Data Engineering

Automated pipelines, APIs, databases and cloud infrastructure that turn raw data into clean, usable datasets you can actually build on.

  • Data pipelines
  • Data cleaning & transformation
  • APIs
  • Databases
  • Scheduled workflows
  • Cloud-hosted data systems
  • Monitoring & alerting

AI & Automation

I integrate AI into data pipelines and workflows to extract, classify, enrich and process information automatically — not AI for its own sake.

  • AI-powered data extraction
  • AI classification & categorisation
  • Data enrichment
  • LLM integrations
  • AI-assisted analysis
  • Automated workflows
  • AI agents, where appropriate

Sound familiar?

Manual data work doesn't scale

Most businesses that come to me are dealing with one of these problems.

  • Someone on your team spends hours a week copying information from websites into a spreadsheet.
  • You need to track competitor prices or listings, but checking manually doesn't scale.
  • You need the same kind of information from several different websites, pulled into one place.
  • Data lands from several places, but nobody's had time to clean it up or connect it together.
  • Your data goes stale because nobody has time to refresh it regularly.
  • You don't have the time, or the in-house skills, to build and maintain this yourselves.

These are automation problems, not staffing problems. A system that collects and processes the data for you removes the manual work entirely — and keeps running long after the initial setup.

Process

How it works

01

Tell me what data you need

You describe the data, the source websites, and how often you need it. I confirm it's feasible and appropriate to collect.

02

I design the system

A scraper, pipeline, or automated workflow built for your specific sources and needs — not a generic tool bolted on afterwards.

03

Data is cleaned, structured and processed

Raw results are normalised into consistent fields — enriched with AI where it genuinely helps — ready to load into whatever you use downstream.

04

Data is delivered automatically

On a schedule if you need it, in the format you asked for — CSV, Excel, JSON, database or API.

Not sure which of these fits your problem?

That's fine — most enquiries start as a rough description of a problem, not a service name.