ECB Statistical Data Warehouse Scraper

ECB Statistical Data Warehouse Scraper

Scrape ECB Statistical Data Warehouse series by dataflow, series key, or date range. Each run returns the full time series with observations, dimensions, and metadata. No API key or registration. Export to CSV, JSON, Excel, or XML.

The ECB Statistical Data Warehouse publishes thousands of official euro area series, but its web interface is built for browsing one chart at a time. This Actor reads the underlying SDMX data directly, so you can pull exchange rates, balance sheet items, interest rates, and other series by dataflow or series key, filtered by period, into one flat dataset.

Who uses it	What they scrape ECB Statistical Data Warehouse for
Financial analysts	Pull daily or monthly ECB reference rates for valuation models
Economists	Build long-run datasets of monetary aggregates or balance of payments
Data engineers	Feed ECB series into internal dashboards or data warehouses
Researchers	Collect consistent euro area statistics for academic work

What it does

This Actor collects ECB Statistical Data Warehouse series by dataflow, series key, and start period, and returns each observation as a flat row with its dimensions and values.

• 🔎 Dataflow filter: pass an ECB dataflow id like EXR, BSI, or ICP to limit results to one dataset.
• 🔑 Series key filter: request a specific series such as D.USD.EUR.SP00.A for daily USD/EUR exchange rate.
• 📅 Start period filter: set a YYYY-MM-DD start date to retrieve only observations from that date onward.
• 📦 Bulk collection: set maxItems up to 1,000,000 to pull large numbers of series in a single run.

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

What you can do with ECB Statistical Data Warehouse data

💱 Track daily exchange rates.

A financial analyst runs the Actor with series key D.USD.EUR.SP00.A to collect the daily USD/EUR reference rate for a valuation model.

📊 Monitor monetary statistics.

An economist pulls the BSI dataflow to build a monthly dataset of euro area bank balance sheet items.

🏦 Feed internal dashboards.

A data engineer schedules the Actor to collect selected ECB series and load them into a company data warehouse.

🎓 Gather research data.

A researcher collects long-run interest rate series by dataflow for an empirical study on monetary policy.

Why choose this scraper

	What you get
Official source	Data comes directly from the European Central Bank's Statistical Data Warehouse
No API key	No registration or authentication required
Flexible filters	Filter by dataflow, series key, or start period
Flat output	Each observation is returned as a flat row ready for analysis
Bulk ready	Collect up to 1,000,000 series per run

How it compares

No other Store actor targets ECB Statistical Data Warehouse the same way, so the honest comparison is with the alternatives teams actually weigh.

	ECB Statistical Data Warehouse Scraper	Build it in-house	By hand
Setup	Run it now, zero config	Days of engineering	None, but hours per pull
When ECB Statistical Data Warehouse 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 dataflow, series key, and start period, alone or together, and filters are forwarded to the ECB Statistical Data Warehouse so only matching series reach your dataset. The Input tab lists every parameter.

A first run with the defaults:

{
 "maxItems": 10,
 "flow": "EXR",
 "seriesKey": "D.USD.EUR.SP00.A"
}

A larger pull:

{
 "maxItems": 200,
 "flow": "EXR",
 "seriesKey": "D.USD.EUR.SP00.A"
}

Pricing

Pay-per-result: $0.0085 per result collected. You pay only for the results written to your dataset.

Results collected	Approximate cost
100 results	$0.85
1,000 results	$8.50
10,000 results	$85.00

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 ECB Statistical Data Warehouse 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 ECB Statistical Data Warehouse 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/ecb-statistical-data-warehouse-scraper"

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

Troubleshooting

Why am I getting no results?

Check that your dataflow or series key is valid. You can browse available dataflows and series keys on the ECB Statistical Data Warehouse website.

Why are my results missing recent observations?

Make sure the start period is not set too late. If you leave it empty, the Actor returns the full available history.

Why did the run stop before collecting all series?

The maxItems field limits the number of series per run. Increase it if you need more, up to 1,000,000.

Why do I see an error about an invalid series key?

Series keys are case-sensitive and must follow the ECB format, for example D.USD.EUR.SP00.A. Verify the key on the ECB website.

FAQ

Question	Answer
What is the ECB Statistical Data Warehouse?	It is the European Central Bank's online repository for euro area statistics, including exchange rates, monetary aggregates, balance of payments, and other official series.
Do I need an API key to use this Actor?	No. The Actor reads the public SDMX interface of the ECB Statistical Data Warehouse, so no registration or API key is required.
What is a dataflow?	A dataflow is an ECB dataset identifier such as EXR for exchange rates, BSI for balance sheet items, or ICP for international comparisons. You can pass one to limit results to that dataset.
What is a series key?	A series key uniquely identifies one statistical series, for example D.USD.EUR.SP00.A for the daily USD/EUR exchange rate. You can pass a series key to retrieve only that series.
How do I filter by date?	Use the start period field with a YYYY-MM-DD date. The Actor will return observations from that date onward.
Can I collect multiple series in one run?	Yes. If you do not specify a series key, the Actor can collect all series matching the dataflow, up to the maxItems limit.
What output formats are supported?	You can export the results to CSV, JSON, Excel, or XML from the Apify dataset.
Is the data official?	Yes. The Actor retrieves data directly from the ECB Statistical Data Warehouse, the official source for euro area statistics.
Can I schedule this Actor to run regularly?	Yes. You can set up a schedule in Apify to run the Actor daily, weekly, or at any interval you need.
What is the maximum number of series I can collect?	The maxItems field allows up to 1,000,000 series per run.

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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. 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.