# Bank of England Interest Rates (Base Rate) (`sterlingverify/boe-interest-rates`) Actor

Fetch daily Bank of England Base Rate, SONIA and any other Bank of England Database series (mortgage rates, GBP spot FX, gilt yields) by series code and date range. Clean JSON for pricing models, interest calculations, lending and treasury dashboards. Official data, no API key.

- **URL**: https://apify.com/sterlingverify/boe-interest-rates.md
- **Developed by:** [Luke Mangan](https://apify.com/sterlingverify) (community)
- **Categories:** Business, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.20 / 1,000 observation returneds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Bank of England Rates

**Bank of England Rates** downloads Bank of England Bank Rate (base rate), SONIA and any other Bank of England Database series by series code and date range, as clean JSON.

**Best for:** Pricing models, interest calculations, lending and treasury dashboards, and finance teams who need official UK rates on a schedule.

### How to download Bank of England Bank Rate and SONIA

1. Add series codes to **Series codes** (for example `IUDBEDR` for Bank Rate, `IUDSOIA` for SONIA).
2. Set a **Start date**, or turn on **Latest value only**.
3. Click **Start**, or schedule it daily to keep a rates feed up to date.

### How it works

Reads the Bank of England Database's public CSV download (no key). Bank of England statistical data can be reused, including commercially, with the source acknowledged ('Source: Bank of England'); a few series contain third-party data with their own terms, and the core rates (Bank Rate, SONIA, BoE FX) are the Bank's own. Up to 30 series per run. Unknown codes return `ok: false` and nothing is charged.

### Output

`date, seriesCode, seriesName, value, ok`

### Pricing (pay-per-event)

- `observation`: **$0.0002** per result ($0.2 / 1,000). Platform usage is included; you pay only for results.
- Example: 10,000 observations cost $2.00.

### Example input

```json
{
  "seriesCodes": [
    "IUDBEDR",
    "IUDSOIA",
    "XUDLUSS"
  ],
  "startDate": "2026-01-01"
}
```

### Example output

Values below are illustrative.

```json
{
  "date": "2026-10-12",
  "seriesCode": "IUDBEDR",
  "seriesName": "Bank Rate",
  "value": 3.75,
  "ok": true
}
```

### Use it via API, schedules and integrations

Run it in Apify Console, or call it from your own code with the Apify API or the Python and JavaScript clients. Save an input as a task and add a schedule to run it regularly, and send results to Slack, email, webhooks, Zapier, Make or n8n with Apify integrations. AI agents can find and run it through the Apify MCP server.

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("sterlingverify/boe-interest-rates").call(run_input={"seriesCodes": ["IUDBEDR", "IUDSOIA"], "startDate": "2026-01-01"})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

### FAQ

#### Do I need an API key?

No. It reads the Bank of England Database's public CSV download.

#### Can I use the data commercially?

Bank of England statistical data can be reused, including commercially, with the source acknowledged ('Source: Bank of England'). A few series contain third-party data with their own terms.

### Disclaimer

For information only. Check official publications before using values in contracts or regulated calculations. Not affiliated with the Bank of England.

### Related sterlingVerify tools

Part of the sterlingVerify UK payments, KYB and data toolkit on Apify Store:

- [UK House Prices](https://apify.com/sterlingverify/uk-house-prices): HM Land Registry sold prices by postcode or street
- [Payments Region Checker](https://apify.com/sterlingverify/payments-region-checker): EEA, SEPA, SCA and interchange classification by country or BIN
- [UK Postcode Enricher](https://apify.com/sterlingverify/uk-postcode-enrich): bulk UK postcode lookup with geography and ONS codes

# Actor input Schema

## `seriesCodes` (type: `array`):

Bank of England Database codes. IUDBEDR = Bank Rate, IUDSOIA = SONIA, XUDLUSS = GBP/USD, XUDLERS = GBP/EUR, IUMBV34 = 2-yr fixed mortgage 75% LTV. Find more at bankofengland.co.uk/boeapps/database.

## `startDate` (type: `string`):

YYYY-MM-DD. Default: 30 days ago.

## `latestOnly` (type: `boolean`):

Return only the most recent date.

## Actor input object example

```json
{
  "seriesCodes": [
    "IUDBEDR",
    "IUDSOIA"
  ],
  "latestOnly": false
}
```

# Actor output Schema

## `results` (type: `string`):

All results in the default dataset

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "seriesCodes": [
        "IUDBEDR",
        "IUDSOIA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("sterlingverify/boe-interest-rates").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "seriesCodes": [
        "IUDBEDR",
        "IUDSOIA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("sterlingverify/boe-interest-rates").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "seriesCodes": [
    "IUDBEDR",
    "IUDSOIA"
  ]
}' |
apify call sterlingverify/boe-interest-rates --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sterlingverify/boe-interest-rates"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/gOhyVIRBR4w68AUPw/builds/gyJ1O45NEA2KQf0K5/openapi.json