Bank of England IADB Scraper

Bank of England IADB Scraper

Scrape Bank of England interest rates, bond yields, and monetary data from the Interactive Database, up to a million series per run. Every observation comes with its date, value, and series code, ready for time-series analysis. Export to CSV, JSON, Excel, or XML.

The Bank of England's Interactive Statistical Database (IADB) holds the UK's official interest rates, gilt yields, and money supply figures, but downloading them means clicking through a web form for every series. This Actor reads the IADB export endpoint directly, so you can pull any number of series in one run. You get a clean, flat table of dates and values, with no manual downloads and no rate limits to manage.

Who uses it	What they scrape Bank of England IADB for
Macro economists	Pull the official Bank Rate and gilt yield history into a model or research paper.
Quantitative analysts	Feed daily SONIA and mortgage rate series into a pricing or risk engine.
Financial journalists	Grab the latest money supply and lending data for a story on UK credit conditions.
Data engineers	Automate a daily pipeline that archives every IADB series the team tracks.

What it does

This Actor collects Bank of England IADB time series by series code and date range, and returns each observation as a flat row with the date, value, and series identifier.

• 📅 Date window control: set a start and end date in ISO or IADB format, or use 'now' for the latest observation.
• 📈 Multi-series in one run: pass a list of series codes and get one unified dataset, not one file per code.
• 🔁 Idempotent exports: re-run the same date window and codes to refresh your data without duplicates.

Results export to CSV, JSON, Excel, or XML, or straight from the API.

What you can do with Bank of England IADB data

📉 Track the Bank Rate cycle.

A macro strategist pulls the official Bank Rate (IUDBEDR) daily and plots it against inflation prints to time rate-cut calls.

🏠 Monitor mortgage rates.

A housing analyst collects the 2-year fixed 75% LTV mortgage rate (IUMBV34) and the representative household rate (IUMTLMV) each week to update an affordability dashboard.

💷 Watch money supply.

A fund manager scrapes M4 money supply series (LPMVWYH, LPMAUYN) monthly to gauge liquidity conditions in the UK economy.

📊 Build a yield curve history.

A quant pulls the 10-year government bond yield (IUDMNZC) alongside short-term rates to backtest curve-steepening strategies.

Why choose this scraper

	What you get
Official source	Data comes straight from the Bank of England's IADB export, not a third-party aggregator.
No manual clicks	Skip the IADB web form. One API call replaces repeated downloads for every series.
Flat, analysis-ready output	Every row is one date, one value, and one series code, ready for pandas, R, or Excel.
Flexible date handling	Accept ISO dates, IADB's native format, or the word 'now' for the latest available point.

How it compares

No other Store actor targets Bank of England IADB the same way, so the honest comparison is with the alternatives teams actually weigh.

	Bank of England IADB Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When Bank of England IADB changes	Maintained for you	You fix it	You re-learn the page
Proxies, retries, anti-bot	Built in	Your problem	Browser only
Output	Fixed JSON schema, CSV/Excel export	Whatever you build	Copy-paste
Cost	Pay per result	Engineering time	Analyst hours

Configure the run

Drive the Actor from one or more IADB series codes and a date window. The Actor fetches every observation in the range, so only the series and dates you request reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "seriesCodes": [
 "IUDBEDR"
 ],
 "dateFrom": "2026-01-01",
 "dateTo": "now",
 "maxItems": 10
}

A larger pull:

{
 "seriesCodes": [
 "IUDBEDR"
 ],
 "dateFrom": "2026-01-01",
 "dateTo": "now",
 "maxItems": 200
}

Pricing

Pay-per-result: $0.011 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$1.10
1,000 results	$11.00
10,000 results	$110.00

New Apify accounts start with $5 in free credit.

Free users

Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.

Run it

1. Create a free Apify account with $5 in credit.
2. Open the Bank of England IADB Scraper.
3. Set your inputs and any filters, then click Start.
4. Export the results as CSV, Excel, JSON, or XML from the Dataset tab.

Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.

Use with AI agents (MCP)

Give an AI agent live access to Bank of England IADB through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:

$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/bank-of-england-iadb-scraper"

Then prompt it in plain language to run the scraper and read back the results.

Troubleshooting

Why am I getting no results for a valid series code?

Check your date window. If dateFrom is after the last available observation, or dateTo is before the series started, the IADB export will return an empty file. Widen the window or set dateTo to 'now'.

The Actor fails with a timeout error.

You may be requesting too many series in one run. Lower the maxItems value or narrow the date window to reduce the payload size, then split large requests across multiple runs.

My date format is rejected.

Use ISO format (2026-01-01) or the IADB format (01/Jan/2026). Avoid ambiguous formats like 01/01/2026. The word 'now' is also accepted for the latest date.

The dataset has duplicate rows.

The IADB export returns one row per date per series. If you see duplicates, check whether you ran the Actor twice with overlapping windows. Use the deduplication options in Apify's dataset export.

FAQ

Question	Answer
Where do I find the series codes?	Visit the Bank of England IADB website, browse the categories, and note the code shown for each series. Common codes like IUDBEDR (Bank Rate) and IUDSOIA (SONIA) are listed in the input schema description.
What date formats does the Actor accept?	You can use ISO format (2026-01-01), the IADB native format (01/Jan/2026), or the word 'now' to fetch the latest available observation. Leave a date field empty to default to one year ago or today.
Can I pull more than one series at a time?	Yes. Add multiple series codes to the seriesCodes array and the Actor will fetch them all in one run, returning a single dataset with a column that identifies each series.
How many observations can I get in one run?	The maxItems setting controls the number of series per run, up to one million. The number of rows depends on how many dates fall inside your window for each series.
Does this Actor need an API key from the Bank of England?	No. The Actor reads the same public CSV export endpoint that the IADB website uses, so no registration or key is required.
What is the output format?	The default dataset is a flat table with one row per observation. You can export it to CSV, JSON, Excel, or XML from the Apify dataset tab.
Can I schedule this to run daily?	Yes. Set up a scheduled run in Apify with dateTo set to 'now' and the Actor will fetch the latest value for each series on every execution.
Does the Actor handle discontinued series?	If a series code is no longer available, the Actor will skip it and log a warning, continuing with the remaining codes in your list.

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Browse the full ParseForge collection for more scrapers.

🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.

⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Bank of England. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.