# Exchange Rate Scraper — Get Real-Time Currency Conversion Rates (`knotless_cadence/exchange-rate-scraper`) Actor Get real-time and historical exchange rates for 170+ currencies. USD, EUR, GBP, crypto — all in structured JSON. Perfect for fintech apps, dashboards, and financial analysis. Custom pipeline: $100 pilot, spinov001@gmail.com - **URL**: https://apify.com/knotless\_cadence/exchange-rate-scraper.md - **Developed by:** [Alex](https://apify.com/knotless_cadence) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Exchange Rate Scraper — Real-Time & Historical Currency Conversion Get real-time and historical exchange rates for 30+ world currencies. Powered by European Central Bank (ECB) data via the Frankfurter API. Compare rates over time, calculate percentage changes, and export individual currency pairs. Free, no API key needed. ### Features - **Real-Time Rates** — current exchange rates from the European Central Bank - **30+ Currencies** — USD, EUR, GBP, JPY, CHF, CAD, AUD, and many more - **Historical Comparison** — fetch rates from any past date and calculate changes - **Percentage Changes** — automatic calculation of rate change and change percentage - **Currency Pairs** — outputs individual currency pair records for easy filtering - **Multiple Base Currencies** — query rates for several base currencies in one run - **ECB Data Source** — reliable, institutional-grade exchange rate data ### Output Example ```json { "base": "USD", "date": "2026-03-18", "rates": { "EUR": 0.9234, "GBP": 0.7891, "JPY": 149.52, "CHF": 0.8812, "CAD": 1.3621 }, "ratesCount": 30, "historicalDate": "2026-01-01", "changes": { "EUR": { "current": 0.9234, "historical": 0.9102, "change": 0.0132, "changePercent": 1.4505 } }, "scrapedAt": "2026-03-18T10:00:00.000Z" } ```` ### Use Cases - **E-Commerce Pricing** — automatically update product prices based on current exchange rates - **Financial Analysis** — track currency movements and calculate historical changes - **Travel Budgeting** — compare conversion rates across multiple currencies at once - **Accounting & Invoicing** — fetch daily rates for multi-currency bookkeeping - **Forex Research** — monitor ECB rate trends and currency pair volatility - **Data Pipelines** — feed structured rate data into dashboards and reporting tools ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `baseCurrencies` | array | `["USD"]` | Base currencies (e.g., "USD", "EUR", "GBP") | | `targetCurrencies` | array | `[]` | Target currencies to filter (empty = all 30+) | | `includeHistorical` | boolean | `false` | Fetch historical rates for comparison | | `historicalDate` | string | `""` | Date for historical rates (YYYY-MM-DD) | ### How It Works The scraper queries the Frankfurter API (backed by ECB data) to retrieve current exchange rates for each base currency. When historical comparison is enabled, it fetches rates for the specified past date and calculates absolute and percentage changes for every currency pair. Each pair is also output as a separate record for convenient filtering and analysis. # Actor input Schema ## `baseCurrencies` (type: `array`): Base currencies to get rates for (e.g., 'USD', 'EUR', 'GBP') ## `targetCurrencies` (type: `array`): Specific target currencies (empty = all available). E.g., 'EUR', 'JPY', 'GBP' ## `includeHistorical` (type: `boolean`): Also fetch historical rates for comparison ## `historicalDate` (type: `string`): Date for historical rates (YYYY-MM-DD format, e.g., '2025-01-01') ## Actor input object example ```json { "baseCurrencies": [ "USD" ], "targetCurrencies": [], "includeHistorical": false, "historicalDate": "" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("knotless_cadence/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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("knotless_cadence/exchange-rate-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 '{}' | apify call knotless_cadence/exchange-rate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=knotless_cadence/exchange-rate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Exchange Rate Scraper — Get Real-Time Currency Conversion Rates", "description": "Get real-time and historical exchange rates for 170+ currencies. USD, EUR, GBP, crypto — all in structured JSON. Perfect for fintech apps, dashboards, and financial analysis. Custom pipeline: $100 pilot, spinov001@gmail.com", "version": "1.0", "x-build-id": "7z8craQsmL5Mz5oOe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/knotless_cadence~exchange-rate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-knotless_cadence-exchange-rate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/knotless_cadence~exchange-rate-scraper/runs": { "post": { "operationId": "runs-sync-knotless_cadence-exchange-rate-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/knotless_cadence~exchange-rate-scraper/run-sync": { "post": { "operationId": "run-sync-knotless_cadence-exchange-rate-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", "properties": { "baseCurrencies": { "title": "Base Currencies", "type": "array", "description": "Base currencies to get rates for (e.g., 'USD', 'EUR', 'GBP')", "default": [ "USD" ], "items": { "type": "string" } }, "targetCurrencies": { "title": "Target Currencies", "type": "array", "description": "Specific target currencies (empty = all available). E.g., 'EUR', 'JPY', 'GBP'", "default": [], "items": { "type": "string" } }, "includeHistorical": { "title": "Include Historical Rates", "type": "boolean", "description": "Also fetch historical rates for comparison", "default": false }, "historicalDate": { "title": "Historical Date", "type": "string", "description": "Date for historical rates (YYYY-MM-DD format, e.g., '2025-01-01')", "default": "" } } }, "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 } } } } } } } } } } ```