European Financial Comparison

Search seven European financial comparison sites in a single run. This actor queries each site in parallel, normalizes banking, insurance and utility offers to a common schema, and removes duplicates. One search across multiple national financial markets.

European financial comparison is a largely uncovered vertical on the Apify Store. No login. No cookies. No account.

What it does

• Searches 7 European financial comparison sites at once: MoneySuperMarket (GB), Verivox (DE), Comparis (CH), Moneyland (CH), Bankmonitor (HU), Bonkers (IE), Durchblicker (AT).
• Normalizes every offer to a common schema (product name, provider, product type, rate, fee, amount).
• Deduplicates by offer URL and sorts results by country and product name.
• Covers banking, insurance, mortgages, loans and utility tariffs depending on what each site exposes for your query.

How to scrape European financial comparison data

1. Enter a product in the Search Query field, for example savings account, mortgage, car insurance, or electricity.
2. Optionally restrict to certain countries with the Countries field (for example ["DE", "AT"]). Leave it empty to query every site.
3. Set Max Items Per Site to control how many offers are pulled from each site.
4. Run the actor. Each site is queried in parallel, offers are normalized and deduplicated.
5. Open the dataset. Each row is one unique offer with the site it came from.

Input

Field	Type	Description
searchQuery	string	Financial product to search for. Defaults to savings account.
countries	array	Optional country filter. Empty means all sites.
maxItemsPerSite	integer	Max offers per site (1–200, default 20).
timeoutPerSiteSecs	integer	Max seconds to wait per site (30–600, default 120).
proxyConfiguration	object	Proxy settings passed to the underlying scrapers. Residential recommended.

Example input

{
    "searchQuery": "mortgage",
    "countries": ["DE", "AT", "CH"],
    "maxItemsPerSite": 25,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Output

Each item in the dataset is one unique financial offer:

{
    "productName": "Online Savings Account",
    "provider": "ING",
    "productType": "savings",
    "rate": "3.10% AER",
    "fee": "0",
    "amount": null,
    "currency": "EUR",
    "country": "DE",
    "url": "https://...",
    "source": "Verivox",
    "scrapedAt": "2026-06-15T18:00:00.000Z"
}

Field	Description
productName	Name of the financial product.
provider	Bank, insurer or provider behind the offer, if available.
productType	Category such as savings, mortgage, loan, insurance, utility.
rate	Interest rate, APR or yield as listed, if available.
fee	Fee or monthly cost as listed, if available.
amount	Premium or amount as listed, if available.
currency	Currency, if exposed by the site.
country	ISO country code of the source site.
url	Link to the original offer.
source	Name of the site the offer came from.
scrapedAt	ISO 8601 timestamp.

A final __SUMMARY__ item lists which sites answered, which failed, the total unique offers, and how many duplicates were removed.

How deduplication works

Offers are deduplicated by their URL, falling back to a source-plus-product-name key when no URL is present. The first occurrence of each unique offer is kept. Because financial products differ from country to country, offers are aggregated into one feed rather than matched as the same product across borders.

Use cases

• Monitoring banking, insurance and utility rates across several European markets at once.
• Building a financial-rates dataset for a comparison or fintech product.
• Tracking how provider offers change over time by running on a schedule.
• Cross-border research into product availability and pricing.

Notes

• This is a meta-actor. It orchestrates our individual national financial-comparison scrapers and runs them in parallel, so a single run can cover several markets at once.
• Field coverage varies a lot by site and product. Rate, fee and amount are populated where the underlying site exposes them.
• Coverage for a query depends on each underlying site returning results. Use the common product name for the country you are targeting.
• Use residential proxies for the most reliable results.

Cost and performance

The cost depends on the number of results and the complexity of the pages being scraped. As a rough guide:

• Simple product listings: ~0.25 compute units per 1,000 results
• Detailed product pages: ~1-2 compute units per 1,000 results

The actual cost depends on your Apify subscription plan. Check the Apify pricing page for details.

Tips and tricks

• Start small: test with maxResults: 5 before running large scrapes.
• Use proxies: residential proxies give the best success rates for European Financial Comparison.
• Schedule runs: set up recurring runs to keep your data fresh automatically.
• Integrate via API: use the Apify API or client libraries to fetch results programmatically.
• No login required: this actor scrapes publicly available data without needing an account.

Limitations

• Data is scraped from the public website and may change without notice.
• Some products or listings may not be available in all regions.
• Very large scraping jobs may be slower due to proxy rotation and rate limiting.
• Respect the website's terms of service and use responsibly.

Features

• No login required — scrapes publicly available data from European Financial Comparison without needing credentials or cookies.
• Structured output — results are returned as clean JSON objects, ready for processing.
• Pagination handling — automatically follows multiple pages of results.
• Proxy support — configurable proxy settings for reliable, large-scale scraping.
• Flexible input — search by keyword, provide specific URLs, or crawl categories.
• Scheduled runs — run on a schedule to keep your dataset up to date automatically.
• API access — integrate results into your workflow using the Apify API or webhooks.

FAQ

Is it legal to scrape European Financial Comparison? Web scraping of publicly available data is generally permitted. This actor only accesses information that is publicly visible to any website visitor. Always review the website's terms of service before scraping.

How often should I run this scraper? For price monitoring or competitive intelligence, daily or weekly runs are common. Set up a schedule in Apify Console to automate this.

Can I export the data to Google Sheets or Excel? Yes. After each run, you can download results in CSV, JSON, or Excel format directly from Apify Console. You can also connect results to Google Sheets using Apify integrations.

What if the scraper stops working? Websites change their structure occasionally. If you notice issues, please open an issue on the actor's page. We actively maintain this scraper and fix issues promptly.