Exchange Rates Public Scraper

Exchange Rates Public Scraper

Scrape live and historical foreign exchange rates from public ECB and US Treasury feeds, up to a million per run. Every rate comes with its base currency, target currency, date, and source. No API key, no registration. Export to CSV, JSON, Excel, or XML.

Paying for an FX data API adds overhead to your treasury reports, financial models, or pricing engines. This Actor reads the public feeds from the European Central Bank and the U.S. Treasury directly, giving you the same reference rates without a subscription. Pick your base currency and source, set a cap, and get a clean dataset ready for analysis.

Who uses it	What they scrape Open Exchange Rates for
Treasury analysts	Pull quarterly USD rates for balance sheet revaluation without a terminal subscription.
Fintech developers	Feed a pricing engine with the latest ECB reference rates for multi-currency transactions.
Data engineers	Build a historical FX dataset for backtesting currency models.
E-commerce operators	Update storefront prices daily using the ECB rate for the shop's base currency.

What it does

This Actor collects foreign exchange rates from the Frankfurter API (ECB) and the US Treasury's quarterly report, and returns each rate as a flat row with the currency pair, date, and source.

• 🏦 Dual source: query the live ECB feed via Frankfurter, the quarterly US Treasury report, or both in one run.
• 💱 Base currency selector: choose from 12 major currencies including USD, EUR, GBP, JPY, and CNY.
• 📊 Volume control: set a hard cap from 1 to 1,000,000 rates per run to match your storage or processing budget.

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

What you can do with Open Exchange Rates data

💹 Feed a pricing engine.

A fintech developer runs the Actor daily with base USD and the Frankfurter source to update the exchange rates in a multi-currency checkout flow.

📋 Automate treasury reporting.

A corporate treasury analyst pulls the US Treasury quarterly rates each period to revalue foreign-denominated assets for SEC filings.

📈 Backtest currency strategies.

A quantitative researcher collects a long history of ECB rates to train a model on EUR/GBP and EUR/JPY volatility.

🛒 Localize an e-commerce store.

An e-commerce manager scrapes the latest EUR-based rates each morning to update prices across a dozen international storefronts.

Why choose this scraper

	What you get
No API key	Reads public feeds directly, so you skip registration and rate limits.
Clean schema	Every row is a flat currency pair, date, and source, ready for a database or spreadsheet.
Two sources	Combine live ECB data with official US Treasury quarterly rates in one dataset.

How it compares

No other Store actor targets Open Exchange Rates the same way, so the honest comparison is with the alternatives teams actually weigh.

	Exchange Rates Public Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When Open Exchange Rates 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 by selecting a base currency and a data source, alone or together, and the max items cap stops the run once you have enough rates. The Input tab lists every parameter.

A first run with the defaults:

{
  "maxItems": 10
}

A larger pull:

{
  "maxItems": 200
}

Pricing

Pay-per-result: $0.021 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$2.10
1,000 results	$21.00
10,000 results	$210.00

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 Exchange Rates Public 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 Open Exchange Rates 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/open-exchange-rates-public-scraper"

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

Troubleshooting

Why am I getting fewer results than my max items setting?

The source may return fewer currency pairs than your cap. For example, the US Treasury report has a fixed set of currencies. Lower the cap or switch to the Frankfurter source for a wider basket.

The run failed with a timeout.

A very high max items value combined with a slow external feed can hit the default timeout. Increase the run timeout in your Actor settings or reduce the max items.

I only see USD-based rates even though I picked EUR.

Check your source selection. The US Treasury source always reports in USD. Switch to the Frankfurter source or 'Both' to get EUR-based rates.

The data looks stale.

The ECB updates on business days. If you run on a weekend or public holiday, you will get the last published rate. This is expected behavior for official reference feeds.

FAQ

Question	Answer
Do I need an API key from the ECB or Treasury?	No. The Actor reads the public feeds directly. You do not need to register for any external service or manage a key.
What currencies are available?	You can set any of the 12 listed base currencies. The Frankfurter source returns rates for over 30 currencies against that base, and the Treasury source returns USD-based rates for a set of major currencies.
How current is the ECB data?	The Frankfurter API publishes reference rates updated daily on business days around 16:00 CET. The Actor fetches the latest available feed on each run.
Can I get historical rates?	Yes. The Frankfurter source provides historical data going back to 1999. The US Treasury source publishes quarterly reports with historical rates.
What is the difference between the two sources?	Frankfurter gives you daily ECB reference rates for a wide basket. The US Treasury source gives you official quarterly USD rates used for government reporting.
How do I limit the output size?	Set the 'Maximum exchange rates' field. The run stops after collecting that many rate rows, keeping your dataset predictable.
Can I run this on a schedule?	Yes. Use Apify's scheduler to run the Actor daily, weekly, or monthly and append new rates to your dataset automatically.
What format is the exported data?	You can export your results to CSV, JSON, Excel, or XML directly from the Apify platform.
Is this suitable for financial reporting?	It uses official central bank and treasury feeds. You should validate the data against your own compliance requirements, but the source is the same reference rate used by institutions.

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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 European Central Bank and U.S. Department of the Treasury. 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.