# Frankfurter Currency Exchange Rate Scraper (`crawlerbros/frankfurter-scraper`) Actor Scrape live and historical currency exchange rates from the Frankfurter API (api.frankfurter.dev). Supports latest rates, historical rates, and time-series data. No API key required. Data sourced from the European Central Bank. - **URL**: https://apify.com/crawlerbros/frankfurter-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Developer tools, Automation, Integrations - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 ## Frankfurter Currency Exchange Rate Scraper Scrape live and historical currency exchange rates from the [Frankfurter API](https://www.frankfurter.dev) — powered by the European Central Bank. No API key required. ### Features - **Latest rates** — real-time exchange rates for 33+ currencies - **Historical rates** — rates for any specific date back to 1999 - **Time series** — daily rates over a date range - Supports any base currency - Filter to specific target currencies - Data sourced from European Central Bank (ECB) ### Input | Field | Type | Description | |---|---|---| | `mode` | select | `latest`, `historical`, `timeSeries` | | `baseCurrency` | select | Base currency (default: EUR) | | `targetCurrencies` | list | Target currencies (empty = all) | | `date` | string | Date for historical mode (YYYY-MM-DD) | | `startDate` | string | Start date for time series | | `endDate` | string | End date for time series | ### Output Each record represents one currency pair on one date: | Field | Description | |---|---| | `date` | Rate date (YYYY-MM-DD) | | `baseCurrency` | Base currency code | | `targetCurrency` | Target currency code | | `rate` | Exchange rate | | `scrapedAt` | ISO timestamp | | `recordType` | Always `"exchange_rate"` | ### Supported Currencies AUD, BGN, BRL, CAD, CHF, CNY, CZK, DKK, EUR, GBP, HKD, HUF, IDR, ILS, INR, ISK, JPY, KRW, MXN, MYR, NOK, NZD, PHP, PLN, RON, SEK, SGD, THB, TRY, USD, ZAR ### FAQ **Is this free?** Yes — Frankfurter API is free and open source. **How current is the data?** ECB updates rates daily at ~4pm CET on working days. **How far back does history go?** 1999-01-04 (euro introduction). # Actor input Schema ## `mode` (type: `string`): What to fetch. ## `baseCurrency` (type: `string`): The base currency to convert from (ISO 4217 code). ## `targetCurrencies` (type: `array`): Currencies to convert to. Leave empty for all available currencies. ## `date` (type: `string`): Date for historical rates in YYYY-MM-DD format. ## `startDate` (type: `string`): Start date for time series in YYYY-MM-DD format. ## `endDate` (type: `string`): End date for time series in YYYY-MM-DD format. Defaults to today. ## Actor input object example ```json { "mode": "latest", "baseCurrency": "EUR", "targetCurrencies": [] } ```` # Actor output Schema ## `items` (type: `string`): Dataset containing all scraped records. # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "mode": "latest", "baseCurrency": "EUR", "targetCurrencies": [] }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/frankfurter-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "mode": "latest", "baseCurrency": "EUR", "targetCurrencies": [], } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/frankfurter-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).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": "EUR", "targetCurrencies": [] }' | apify call crawlerbros/frankfurter-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/frankfurter-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Frankfurter Currency Exchange Rate Scraper", "description": "Scrape live and historical currency exchange rates from the Frankfurter API (api.frankfurter.dev). Supports latest rates, historical rates, and time-series data. No API key required. Data sourced from the European Central Bank.", "version": "1.0", "x-build-id": "Jx9Fj1yWEGbjIrpMv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~frankfurter-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-frankfurter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~frankfurter-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-frankfurter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~frankfurter-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-frankfurter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "latest", "historical", "timeSeries" ], "type": "string", "description": "What to fetch.", "default": "latest" }, "baseCurrency": { "title": "Base currency", "enum": [ "EUR", "USD", "GBP", "JPY", "CHF", "CAD", "AUD", "CNY", "SEK", "NOK", "DKK", "NZD", "SGD", "HKD", "KRW", "INR", "MXN", "BRL", "ZAR", "RUB" ], "type": "string", "description": "The base currency to convert from (ISO 4217 code).", "default": "EUR" }, "targetCurrencies": { "title": "Target currencies", "type": "array", "description": "Currencies to convert to. Leave empty for all available currencies.", "default": [], "items": { "type": "string" } }, "date": { "title": "Date (mode=historical)", "type": "string", "description": "Date for historical rates in YYYY-MM-DD format." }, "startDate": { "title": "Start date (mode=timeSeries)", "type": "string", "description": "Start date for time series in YYYY-MM-DD format." }, "endDate": { "title": "End date (mode=timeSeries)", "type": "string", "description": "End date for time series in YYYY-MM-DD format. Defaults to today." } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```