# European Financial Comparison - Banking & Insurance Offers (`studio-amba/european-financial-comparison`) Actor

Search 7 European financial comparison sites in a single run. Unified feed of banking, insurance and utility offers with rates and fees. No login required.

- **URL**: https://apify.com/studio-amba/european-financial-comparison.md
- **Developed by:** [Studio Amba](https://apify.com/studio-amba) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.20 / 1,000 result scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## 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

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

### Output

Each item in the dataset is one unique financial offer:

```json
{
    "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](https://apify.com/pricing) 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](https://docs.apify.com/api) or [client libraries](https://docs.apify.com/api/client) 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](https://docs.apify.com/schedules) 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.

# Actor input Schema

## `searchQuery` (type: `string`):

What to search for across all sources (e.g. 'savings account').

## `countries` (type: `array`):

Filter which countries to include. Leave empty for all (GB, DE, CH, HU, IE, AT).

## `maxItemsPerSite` (type: `integer`):

Maximum items to fetch from each site.

## `timeoutPerSiteSecs` (type: `integer`):

Maximum seconds to wait for each site scraper.

## `proxyConfiguration` (type: `object`):

Proxy settings passed to the underlying scrapers. Residential recommended.

## Actor input object example

```json
{
  "searchQuery": "savings account",
  "maxItemsPerSite": 20,
  "timeoutPerSiteSecs": 120,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "searchQuery": "savings account",
    "maxItemsPerSite": 20,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("studio-amba/european-financial-comparison").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 = {
    "searchQuery": "savings account",
    "maxItemsPerSite": 20,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("studio-amba/european-financial-comparison").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 '{
  "searchQuery": "savings account",
  "maxItemsPerSite": 20,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call studio-amba/european-financial-comparison --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,studio-amba/european-financial-comparison"
        }
    }
}

```

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/8JNxGQjHbs6LYdfQm/builds/8FpWTl9R9oBjBjfGA/openapi.json