Bank of England Interest Rates (Base Rate)

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

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

Example output

Values below are illustrative.

{
  "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.

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)

Use in Clay, Zapier, Make, n8n, Pipedream, Power Automate or Activepieces

All of them connect to Apify through their official Apify integrations, using your own Apify account: an API token from Apify Console > Settings > API & Integrations, or Apify sign-in for Power Automate. Runs bill to your Apify account at this Actor's pay-per-event price.

• Clay: save this Actor's input as an Apify task and copy it as JSON. In your Clay table, add the Run Apify Actor enrichment, choose it and paste the JSON into Input Data, mapping Clay columns into the fields. To pull a finished run into a new table, use the Import data from Apify Actor source.
• Zapier: use the Apify Run Actor action, or the Finished Actor run trigger followed by Fetch dataset items. Synchronous runs in Zapier stop after 30 seconds, so use the trigger for big batches.
• Make: add the Apify Run an Actor module with Run synchronously set to Yes, then Get Dataset Items with the run's dataset ID. For longer runs, use the Watch Actor Runs trigger.
• n8n: install the Apify node (@apify/n8n-nodes-apify, or search "Apify" on n8n Cloud) and use Run an Actor and get dataset.
• Pipedream: add the Apify app's Run Actor action, or Run Task Synchronously on one of this Actor's public example tasks (or your own saved task) to get the dataset items back in one step. For big batches, start from the New Finished Actor Run or New Finished Task Run trigger, then Get Dataset Items.
• Power Automate: add the Apify connector (a premium connector, currently in preview) and sign in with your Apify account. Use Run Actor with Enter custom value set to sterlingverify/boe-interest-rates and paste the input as JSON, then Get dataset items with the run's default dataset ID. For big batches, start the flow from the Actor run finished trigger instead.
• Activepieces: add the Apify piece and use Run Actor, or Run Task on one of this Actor's public example tasks (or your own saved task), then Get Dataset Items. For scheduled or big batches, use the Watch Actor Runs or Watch Task Runs trigger.
• Google Drive / Sheets: add Apify's Upload results to GDrive integration to a scheduled task to drop each run's CSV or XLSX into your team's Drive, or chain the Google Sheets Import & Export actor to append rows to a sheet.
• Slack alerts: add Apify's Slack integration to a scheduled task to post each run's results to your team channel, or start a check from Slack with /apify call and your task ID.
• Snowflake: install Apify's Snowflake Native App, run this Actor from Snowsight and load results straight into a table.
• Email digests: add Apify's Send results email via Gmail integration to a scheduled task to attach each run's CSV/JSON to your inbox.
• Any HTTP tool or script: send one request and get the results back as JSON. Runs must finish within 5 minutes.

curl -X POST "https://api.apify.com/v2/acts/sterlingverify~boe-interest-rates/run-sync-get-dataset-items" \
  -H "Authorization: Bearer YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @input.json

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: HM Land Registry sold prices by postcode or street
• Payments Region Checker: EEA, SEPA, SCA and interchange classification by country or BIN
• UK Postcode Enricher: bulk UK postcode lookup with geography and ONS codes