🏦 Bank of England IADB Scraper

🚀 Export UK macro and financial time series in seconds. Pull the official Bank Rate, SONIA, bond yields, mortgage rates, and money supply straight from the Bank of England Interactive Database by series code.

🕒 Last updated: 2026-06-08 · 📊 4 fields per record · multi-series · one record per date and series

Turn the Bank of England Interactive Database (IADB) into clean, structured observations you can drop into a dashboard, a model, or a spreadsheet. Give it one or more IADB series codes and a date window, and get one tidy record per date and series with the value already parsed as a number.

Coverage is whatever the public IADB publishes: official Bank Rate, SONIA, government bond yields, representative mortgage rates, household interest rates, and the M4 money supply aggregates, among thousands of other series. You pick the codes and the period; the Actor handles the IADB date formats and CSV export for you.

🎯 Target Audience	💡 Primary Use Cases
Economists and analysts	Track Bank Rate, SONIA, and yields over time
Quant and risk teams	Feed UK rates into models and backtests
Dashboard and BI builders	Seed a time-series panel with official data
Researchers and journalists	Cite a clean, dated record per observation

📋 What the Bank of England IADB Scraper does

This Actor calls the public Bank of England IADB CSV export and returns one clean record per observation:

• One record per date and series — every non-empty value in your date window becomes its own row.
• Multiple series in one run — pass several codes and each becomes its own labelled record.
• Parsed values — the raw CSV value is returned as a JavaScript number, with the original IADB date label and an ISO date alongside.

You control which series codes to pull, the date window, and how many records come back. Every record carries a scrapedAt timestamp.

🎬 Full Demo (🚧 Coming soon)

⚙️ Input

Field	Type	Description
seriesCodes	array	One or more IADB series codes to pull. Each code becomes one labelled record per date. Defaults to ["IUDBEDR"] (official Bank Rate).
dateFrom	string	Start of the date window. Accepts ISO (2026-01-01) or IADB (01/Jan/2026). Empty defaults to one year before today.
dateTo	string	End of the date window. Accepts ISO, IADB, or the word now for the latest available date. Empty defaults to today.
maxItems	integer	How many records to return. Free plan is capped at 10.

Example 1 — the official Bank Rate over a date window

{
    "seriesCodes": ["IUDBEDR"],
    "dateFrom": "2026-01-01",
    "dateTo": "now",
    "maxItems": 100
}

Example 2 — several rates at once

{
    "seriesCodes": ["IUDBEDR", "IUDSOIA", "IUDMNZC"],
    "dateFrom": "2025-01-01",
    "dateTo": "2026-06-01",
    "maxItems": 500
}

⚠️ Good to Know: Common codes include IUDBEDR (official Bank Rate), IUDSOIA (SONIA), IUDMNZC (10y government bond yield), IUMABEDR (monthly average Bank Rate), IUMBV34 (2y fixed 75% LTV mortgage rate), IUMTLMV (representative household interest rate), and LPMVWYH / LPMAUYN (M4 money supply). Find more codes on the IADB site. Different series publish at different frequencies (daily, monthly, quarterly), so the number of observations per series varies.

📊 Output

Each record represents a single observation:

Field	Description
🏷 seriesCode	The IADB series code this value belongs to
📅 date	The IADB date label for the observation
📈 value	The observation value as a number (null if blank)
🗓 isoDate	The same date in ISO YYYY-MM-DD form
🕒 scrapedAt	Collection timestamp
❌ error	Null on success

Real sample — Bank Rate observation

{
    "seriesCode": "IUDBEDR",
    "date": "02 Jan 2026",
    "value": 4.5,
    "isoDate": "2026-01-02",
    "scrapedAt": "2026-06-08T17:09:21.000Z",
    "error": null
}

Real sample — SONIA observation

{
    "seriesCode": "IUDSOIA",
    "date": "05 Jan 2026",
    "value": 4.43,
    "isoDate": "2026-01-05",
    "scrapedAt": "2026-06-08T17:09:21.000Z",
    "error": null
}

Real sample — bond yield observation

{
    "seriesCode": "IUDMNZC",
    "date": "06 Jan 2026",
    "value": 4.62,
    "isoDate": "2026-01-06",
    "scrapedAt": "2026-06-08T17:09:21.000Z",
    "error": null
}

✨ Why choose this Actor

• One clean record per observation, ready to chart or model.
• Multiple series in a single run, each row tagged with its seriesCode.
• Flexible date input: ISO, IADB format, or now all work.
• Values come back as numbers, not strings, with an ISO date for easy sorting.
• No account, no key, and no login required.

📈 How it compares to alternatives

Approach	Effort	Structured fields	Date handling	Maintenance
This Actor	One run	Yes	Automatic	None on your side
Downloading CSVs by hand	Repetitive	Manual parsing	Manual	Constant
Writing your own IADB client	Days	Depends	You own it	You own the upkeep

🚀 How to use

1. Create a free Apify account using this sign-up link.
2. Open the Bank of England IADB Scraper.
3. Enter one or more seriesCodes (for example IUDBEDR).
4. Set dateFrom, dateTo, and maxItems.
5. Click Start and grab your results when the run finishes.

💼 Business use cases

Economic research

Goal	How this helps
Track UK monetary policy	Pull Bank Rate and SONIA over any window
Study yield movements	Snapshot bond yield series alongside rates

Risk and quant

Goal	How this helps
Feed rates into models	Get numeric values keyed by date and series
Backtest against history	Pull long date windows per series

Dashboards and BI

Goal	How this helps
Seed a time-series panel	One record per date and series, ready to load
Refresh on a schedule	Re-run to append the latest observations

Media and reporting

Goal	How this helps
Cite official figures	Each record carries its source series and date
Build rate charts	Use the numeric value and ISO date fields

🔌 Automating Bank of England IADB Scraper

Connect runs to the tools you already use:

• Make and Zapier to trigger runs and route records into sheets or databases.
• Slack to post a summary when a run finishes.
• Airbyte to load results into a warehouse.
• GitHub Actions to schedule periodic snapshots.
• Google Drive to archive each run's output.

🌟 Beyond business use cases

• Research: assemble a clean dataset of UK rates for a paper or thesis.
• Personal: track the Bank Rate that affects your mortgage.
• Non-profit: power a public-interest economics resource.
• Experimentation: prototype a rates dashboard without writing a scraper.

🤖 Ask an AI assistant

Paste your results into ChatGPT, Claude, Perplexity, or Microsoft Copilot and ask it to chart the Bank Rate, compare series, or summarize how rates moved over a period.

❓ Frequently Asked Questions

Do I need a Bank of England account or API key? No. The Actor reads the public IADB CSV export, which needs no login.

How do I find series codes? Browse the Bank of England Interactive Database on their site. Common codes are listed in the input description and the Good to Know note above.

Can I pull several series at once? Yes. Add multiple codes to seriesCodes; each value is tagged with its seriesCode in the output.

What date formats are accepted? ISO like 2026-01-01, IADB like 01/Jan/2026, and the word now for the latest available date.

What happens to gaps in a series? Blank cells (days a series does not publish) are skipped, so you only get real observations.

Why do some series have fewer records than others? Series publish at different frequencies (daily, monthly, quarterly), so the count varies per code and window.

Are values numbers or text? Values come back as numbers. The original IADB date label is kept in date, with an ISO version in isoDate.

What if a code is invalid? The Actor reports an error record explaining no data was returned for that code or window.

How fresh is the data? Each run pulls live from the IADB, so it reflects the latest published observations at run time.

Can I schedule this? Yes. Use Apify Schedules to snapshot series on any cadence.

🔌 Integrate with any app

Results are available through the Apify API, so you can pull them into any app, database, or workflow you already run.

🔗 Recommended Actors

• More economic and reference data Actors in the ParseForge collection

💡 Pro Tip: browse the complete ParseForge collection.

🆘 Need Help? Open our contact form

⚠️ Disclaimer: independent tool, not affiliated with the Bank of England. Only publicly available data is collected.