# Exchange Rate & Currency Data Scraper (`cloud9_ai/exchange-rate-scraper`) Actor

Get real-time and historical exchange rates for 160+ currencies powered by ECB data. Latest rates with auto failover, historical lookups, and time series analysis. No API key needed. For e-commerce, forex, and financial dashboards.

- **URL**: https://apify.com/cloud9\_ai/exchange-rate-scraper.md
- **Developed by:** [cloud9](https://apify.com/cloud9_ai) (community)
- **Categories:** E-commerce
- **Stats:** 3 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## Exchange Rate & Currency Data Scraper

Get real-time and historical exchange rates for 160+ currencies powered by ECB data. Latest rates with auto failover, historical lookups, and time series analysis. No API key needed. For e-commerce, forex, and financial dashboards.

> The dataset holds **two row shapes depending on mode**. `latest` and `historical` return one row per run with a nested `rates` object; `timeSeries` returns one flat row per date and currency (`base`, `date`, `currency`, `rate`). Billing is per row, so `timeSeries` costs more than the other two modes.

### Use cases

- Convert multi-currency e-commerce revenue into one reporting currency
- Refresh product prices daily in international storefronts
- Backfill historical FX rates for accounting reconciliation
- Chart currency trends over a custom date range
- Add live FX conversion to invoices or dashboards

### Input

| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| `mode` | string | Yes | `"latest"` | Scraping mode: latest rates, historical rates for a specific date, or time series over a date range Allowed: `latest`, `historical`, `timeSeries`. |
| `baseCurrency` | string | No | `"USD"` | Base currency code (e.g., USD, EUR, JPY) |
| `targetCurrencies` | string | No | `"EUR,JPY,GBP"` | Comma-separated target currency codes to include (e.g., EUR,JPY,GBP). Leave empty to include all available currencies. |
| `date` | string | No | `"2024-01-01"` | Date for historical mode (YYYY-MM-DD format) |
| `startDate` | string | No | `"2024-01-01"` | Start date for time series mode (YYYY-MM-DD format) |
| `endDate` | string | No | `"2024-12-31"` | End date for time series mode (YYYY-MM-DD format) |

#### Example input

```json
{
  "mode": "latest",
  "baseCurrency": "USD",
  "targetCurrencies": "EUR,JPY,GBP",
  "date": "2024-01-01",
  "startDate": "2024-01-01",
  "endDate": "2024-12-31"
}
```

### Output

The exact fields depend on the mode you run. This is real output from an actual run of this Actor:

```json
{
  "base": "USD",
  "date": "2026-09-09",
  "rates": {
    "EUR": 0.860279,
    "JPY": 153.817506,
    "GBP": 0.738452
  },
  "provider": "open.er-api.com",
  "scrapedAt": "2026-09-09T13:18:01.568Z"
}
```

| Field | Type |
|---|---|
| `base` | string |
| `date` | string |
| `rates` | object |
| `provider` | string |
| `scrapedAt` | string |

The dataset also ships a preset table view (**Rates**), so the key columns are readable straight away in Apify Console, and exportable to JSON, CSV, Excel, or XML.

### How to run it

**In Apify Console** — open the Actor, fill in the input form, click **Start**, then download the results from the **Dataset** tab.

**With the JavaScript client**

```javascript
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('cloud9_ai/exchange-rate-scraper').call({
  "mode": "latest",
  "baseCurrency": "USD",
  "targetCurrencies": "EUR,JPY,GBP",
  "date": "2024-01-01",
  "startDate": "2024-01-01",
  "endDate": "2024-12-31"
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

**With the Python client**

```python
from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('cloud9_ai/exchange-rate-scraper').call(run_input={
  "mode": "latest",
  "baseCurrency": "USD",
  "targetCurrencies": "EUR,JPY,GBP",
  "date": "2024-01-01",
  "startDate": "2024-01-01",
  "endDate": "2024-12-31"
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)
```

**With the API** — `POST https://api.apify.com/v2/acts/cloud9_ai~exchange-rate-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN` with the input JSON as the body.

### Notes and limits

- No API key, account, or login is needed — just the input above.
- Requests are paced and failed requests are retried automatically, so runs stay inside the source's rate limits.
- Only publicly available data is collected. How you use the output is your responsibility, including the source's terms of use and any applicable data-protection law.

### Support

Found a bug, or need a field that isn't in the output? Open an issue on the **Issues** tab of this Actor in Apify Console. Issues there are read and answered.

### License

Apache-2.0

# Actor input Schema

## `mode` (type: `string`):

Scraping mode: latest rates, historical rates for a specific date, or time series over a date range

## `baseCurrency` (type: `string`):

Base currency code (e.g., USD, EUR, JPY)

## `targetCurrencies` (type: `string`):

Comma-separated target currency codes to include (e.g., EUR,JPY,GBP). Leave empty to include all available currencies.

## `date` (type: `string`):

Date for historical mode (YYYY-MM-DD format)

## `startDate` (type: `string`):

Start date for time series mode (YYYY-MM-DD format)

## `endDate` (type: `string`):

End date for time series mode (YYYY-MM-DD format)

## Actor input object example

```json
{
  "mode": "latest",
  "baseCurrency": "USD",
  "targetCurrencies": "EUR,JPY,GBP",
  "date": "2024-01-01",
  "startDate": "2024-01-01",
  "endDate": "2024-12-31"
}
```

# 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 = {
    "mode": "latest",
    "baseCurrency": "USD",
    "targetCurrencies": "EUR,JPY,GBP",
    "date": "2024-01-01",
    "startDate": "2024-01-01",
    "endDate": "2024-12-31"
};

// Run the Actor and wait for it to finish
const run = await client.actor("cloud9_ai/exchange-rate-scraper").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 = {
    "mode": "latest",
    "baseCurrency": "USD",
    "targetCurrencies": "EUR,JPY,GBP",
    "date": "2024-01-01",
    "startDate": "2024-01-01",
    "endDate": "2024-12-31",
}

# Run the Actor and wait for it to finish
run = client.actor("cloud9_ai/exchange-rate-scraper").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 '{
  "mode": "latest",
  "baseCurrency": "USD",
  "targetCurrencies": "EUR,JPY,GBP",
  "date": "2024-01-01",
  "startDate": "2024-01-01",
  "endDate": "2024-12-31"
}' |
apify call cloud9_ai/exchange-rate-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cloud9_ai/exchange-rate-scraper"
        }
    }
}

```

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/IpnBBIxIhGZ4ljDBr/builds/eVeU1lqKtQaXqdeLZ/openapi.json