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Find the public data nobody has cleaned, and sell it as a paid API

GOV.UK answers "when are the school holidays?" with a link to 200 council websites, yet a free energy dataset flags every school holiday, per council, per day. Turn that into a paid API on real official data, with licences, Stripe tiers, hosting and the real maths done properly. Code is a third of the job; keeping the data right and finding buyers is the rest.

330 minIntermediateTools: Free to build and test. Live: a small server from about $6 a month, a domain, and Stripe fees of about 40p on a £9 paymentStep 1 free
A working data APIETL that fetches two official datasets politely, cleans and checks them, and a FastAPI service with keys, rate limits, quotas, pagination, ETags and an OpenAPI docs page
The data ruleshow to read OGL and other licences, the attribution lines, and the council re-use trap (some only allow non-commercial use)
Billing that runs itselfStripe Checkout tiers, a signed webhook that changes plans, metered overage, plus the real cost of selling on Rapid instead
  • A kit: the code (zip), a pricing calculator, licence tracker, developer outreach messages, docs and terms outlines, a scoreboard and a 30-day plan
Before you start
01/08Why developers pay for data that's free0 done
STEP 01 of 08~25 min

Why developers pay for data that's free

Understand what you're actually selling, see the gap in the worked example, and see what it takes to run.

  1. The data is free. The wrangling isn'tEvery developer who needs UK school holidays faces the same job: find each council's page, copy dates out of PDFs, notice Scotland does it differently, redo it every year, and hope nothing changed. An hour of a developer's time costs a business far more than £9. That's the whole pitch: you do the boring bit once, properly, and sell the result to everyone who'd otherwise do it badly themselves.

  2. What developers actually pay for isn't the data. It's five things the raw files don't give them:

    • One clean format. JSON, consistent names, the same shape every year.
    • Reliability. It's there at 3am, it's fast, and it has a status page.
    • Correctness they can trust. Checks, a changelog, and someone who fixes errors quickly.
    • Docs. An OpenAPI page they can try in the browser and a quick-start that works first time.
    • Continuity. It'll still exist next year. This is the one that makes or breaks you.
  3. The worked example: ukcalUK bank holidays and working-day maths per nation, plus school holiday dates for 206 councils in Great Britain. Why that gap? GOV.UK's school term dates service ↗ only finds your council and sends you to its website. The free OpenHolidays API ↗ has school holidays for 36 countries but not the UK. And the cleanest national source turns out to be an energy dataset: NESO publishes a daily 0/1 school holiday flag per council, for forecasting electricity demand. Almost nobody outside energy knows it exists.

  4. What it takes.

    • Code is a third of the job. The code in this mission is an afternoon's build. Keeping the data correct and finding buyers is the ongoing work, every week, and it's what customers pay for.
    • Free alternatives exist for half of it. Bank holidays are already free and accurate: GOV.UK publishes JSON, and Nager.Date ↗'s 2026 GB list matches GOV.UK's, including Scotland's one-off World Cup bank holiday. You can't charge for that bit alone. Your paid product has to be the part nobody serves well.
    • Timeline. Plan for weeks of steady outreach before the first paying customer, and a few months before it covers more than your server. Small APIs grow steadily rather than overnight, and annual plans help when projects end.
    • Accuracy is the product. If your API says a school is open and it isn't, someone's booking system is wrong, so the checks, the correction process and clear coverage notes in step 3 are part of the build.
    TipWho this suits: you like tidy, correct data, you're happy answering developer emails, and you can give it a few hours every week for at least six months. Keep your day job while the first customers come in. Nothing costs money before step 6: everything until then runs free on your own PC.
  5. The kitDownload the code (zip) and the kit (research checklist, dataset scorecard, licence checklist and re-use request, spec, pricing table, docs and changelog templates, messages, terms outline, ops checklist, routine, 30-day plan, prompts). Plus pricing-maths.csv, sources.csv, scoreboard.csv and the generated openapi.json.

✓
CheckpointYou can say in one sentence what a developer would pay you for that they can't get free, and you've decided whether you can give this six months.
If it breaksIsn't selling free government data a bit cheeky? + 1 more
Isn't selling free government data a bit cheeky?
No, it's how a lot of data businesses work, and open licences like the OGL explicitly allow commercial use. You're charging for cleaning, joining, checking, hosting and support. Be upfront about the sources, attribute them properly, and link to the free originals in your docs. That openness is what wins developer trust.
What if the publisher launches its own API?
It can happen, and you should assume it might. Keep costs tiny, don't sign long contracts you can't honour, and add value the publisher won't: joins across sources, working-day maths, history, change alerts and support. If a free official API appears that does everything yours does, tell your customers and wind down gracefully.
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