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UK Bank Holidays Scraper

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UK Bank Holidays Scraper

UK Bank Holidays Scraper

Export official UK bank holidays for England-Wales, Scotland, and Northern Ireland. Returns title, date, substitute-day notes, bunting flag per division per year. Sourced from the GOV.UK open data feed.

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from $9.00 / 1,000 result items

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ParseForge

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πŸ‡¬πŸ‡§ GOV.UK Bank Holidays Scraper

πŸš€ Export the official UK bank holiday calendar in seconds. Pull every past and upcoming holiday for England & Wales, Scotland, and Northern Ireland from the canonical gov.uk feed. No API key, no registration, no manual calendar wrangling.

The GOV.UK Bank Holidays Scraper exports the canonical UK public-holiday calendar published by the Government Digital Service and returns 9 fields per record, including title, ISO date, year, weekday, division, notes, bunting flag, substitute-day flag, and the scrape timestamp. The underlying feed is the authoritative reference for UK payroll, banking, scheduling, and HR systems.

The dataset covers England & Wales, Scotland, and Northern Ireland separately, with each division carrying its own statutory calendar. Past holidays and several years of upcoming dates are returned in a single run, ready for downstream payroll, scheduling, or compliance pipelines. This Actor turns the calendar into downloadable CSV, Excel, JSON, or XML in under a minute.

🎯 Target AudienceπŸ’‘ Primary Use Cases
UK payroll and HR teams, fintech and banking ops, scheduling and rota apps, logistics and delivery platforms, retail and hospitalityPayroll calculations, working-day calendars, settlement-date logic, courier SLAs, store-opening rosters, holiday-aware booking flows

πŸ“‹ What the GOV.UK Bank Holidays Scraper does

Three filtering workflows in a single run:

  • πŸ‡¬πŸ‡§ All divisions. Pull every holiday across England & Wales, Scotland, and Northern Ireland.
  • 🏴 Single division. Restrict to one nation, useful for region-specific payroll or scheduling logic.
  • πŸ“… Year window. Limit to a date range, for example just the upcoming three years or a historical lookback.

Each record includes the official holiday title, the ISO date, the year extracted from the date, the weekday name, the division code (england-and-wales, scotland, northern-ireland), the human-friendly division label, any notes (such as substitute-day notices), the bunting flag indicating whether bunting is traditionally displayed, the substitute-day flag derived from the notes, and the scrape timestamp.

πŸ’‘ Why it matters: UK payroll, banking, and scheduling pipelines all depend on the canonical bank-holiday calendar. Building your own feed parser means handling JSON updates, division-specific differences, and substitute days. This Actor skips all of that and refreshes on every run.

πŸ“Š Data fields

Each record includes: bunting, date, division, divisionLabel, isSubstituteDay, notes, scrapedAt, title, weekday, year. These field names come straight from the actor's dataset schema, so what you see here is what lands in your dataset.

πŸš€ How to use

  1. πŸ“ Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the GOV.UK Bank Holidays Scraper page on the Apify Store.
  3. 🎯 Set input. Pick a division (or all) and optionally set a year range. Set maxItems.
  4. πŸš€ Run it. Click Start and let the Actor collect your data.
  5. πŸ“₯ Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.

πŸ’‘ Pro Tip: browse the complete ParseForge collection for more reference-data scrapers.

⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by the UK Government, GOV.UK, or the Government Digital Service. All trademarks mentioned are the property of their respective owners. Only publicly available open calendar data is collected.

πŸ†˜ Need Help?

If you hit a bug, have questions about setup, or need a scraper we haven't built yet, open our contact form or write to parseforge@protonmail.com. We also take on paid custom data projects.

For faster answers, join our Discord. It's the best place to get support and suggest new actors.