# Forex Broker Spy (`kuromaro/forex-broker-spy`) Actor Compare FX broker spreads, commissions, and swap rates. Scrape economic calendar events from ForexFactory. Essential data for forex traders. - **URL**: https://apify.com/kuromaro/forex-broker-spy.md - **Developed by:** [Takuma](https://apify.com/kuromaro) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $200.00 / 1,000 spreads collecteds 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/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 ## Forex Broker Spy Compare FX broker trading conditions and track economic calendar events — automatically, at scale. ### What It Does **Forex Broker Spy** is an Apify Actor that collects two types of data essential for FX traders: 1. **Broker Spread Comparison** — scrapes Myfxbook's broker comparison page and ranks brokers by total trading cost (spread + commission) per standard lot. 2. **Economic Calendar** — scrapes ForexFactory's calendar to surface upcoming high-impact news events that can move the market. ### Use Cases - Compare real trading costs across dozens of brokers for symbols like EURUSD, XAUUSD, USDJPY. - Monitor today's high-impact news before entering trades. - Feed broker cost data into a spreadsheet or dashboard to identify the cheapest broker for your strategy. - Automate weekly calendar digests for trading teams or newsletters. ### Input Parameters | Field | Type | Default | Description | |---|---|---|---| | `mode` | select | `both` | `spreads` — broker costs only; `calendar` — news only; `both` — everything | | `symbols` | array | `["EURUSD","GBPUSD","USDJPY","XAUUSD"]` | FX symbols to filter broker data for | | `calendarDateRange` | select | `today` | `today`, `week`, or `month` | | `impactFilter` | select | `all` | Filter news by impact: `high`, `medium`, or `all` | | `proxyConfiguration` | proxy | — | Apify proxy settings (recommended to avoid blocks) | ### Output Results are pushed to the default Apify dataset. Each record is one of two types: #### Broker Spread Record ```json { "broker": "IC Markets", "symbol": "EURUSD", "spreadTypical": 0.6, "spreadMin": 0.1, "spreadMax": 1.2, "commission": 7.0, "swapLong": -3.5, "swapShort": 1.2, "totalCostPerLot": 13.0, "timestamp": "2025-06-27T10:00:00+00:00" } ```` `totalCostPerLot` = `spreadTypical × 10 + commission` (USD per standard lot, round-trip). #### Calendar Event Record ```json { "date": "Jun 27", "time": "8:30am", "currency": "USD", "event": "Core PCE Price Index m/m", "impact": "high", "forecast": "0.3%", "previous": "0.2%", "actual": "" } ``` ### Cost Calculation Total cost per lot is calculated as: ``` totalCostPerLot = spreadTypical * 10 + commission ``` Where: - `spreadTypical` is in pips - 1 pip = $10 for a standard lot (100,000 units) - `commission` is the round-trip charge in USD Brokers are ranked from cheapest to most expensive by this metric. ### Proxy ForexFactory and Myfxbook may block datacenter IPs. Enable the **proxyConfiguration** field and select Apify Residential proxies for reliable results. ### Technical Notes - HTTP requests use random User-Agent rotation and 3-attempt exponential back-off. - All times in calendar output are as shown on ForexFactory (US Eastern by default). - Spread data reflects live conditions at scrape time; values change continuously. ### Example Schedule Run daily at 7:00 AM New York time to get today's high-impact calendar events: ```json { "mode": "calendar", "calendarDateRange": "today", "impactFilter": "high" } ``` ### License Apache 2.0 # Actor input Schema ## `mode` (type: `string`): What data to collect: broker spreads, economic calendar, or both. ## `symbols` (type: `array`): FX symbols to filter broker spreads for (e.g. EURUSD, XAUUSD). ## `calendarDateRange` (type: `string`): Time range for the ForexFactory economic calendar. ## `impactFilter` (type: `string`): Minimum news impact level to include in the calendar output. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Recommended to avoid rate limiting. ## Actor input object example ```json { "mode": "both", "symbols": [ "EURUSD", "GBPUSD", "USDJPY", "XAUUSD" ], "calendarDateRange": "today", "impactFilter": "all" } ``` # 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("kuromaro/forex-broker-spy").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("kuromaro/forex-broker-spy").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 kuromaro/forex-broker-spy --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=kuromaro/forex-broker-spy", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Forex Broker Spy", "description": "Compare FX broker spreads, commissions, and swap rates. Scrape economic calendar events from ForexFactory. Essential data for forex traders.", "version": "0.1", "x-build-id": "WM5lVtCSrYfrBN5EQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/kuromaro~forex-broker-spy/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-kuromaro-forex-broker-spy", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/kuromaro~forex-broker-spy/runs": { "post": { "operationId": "runs-sync-kuromaro-forex-broker-spy", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/kuromaro~forex-broker-spy/run-sync": { "post": { "operationId": "run-sync-kuromaro-forex-broker-spy", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Mode", "enum": [ "spreads", "calendar", "both" ], "type": "string", "description": "What data to collect: broker spreads, economic calendar, or both.", "default": "both" }, "symbols": { "title": "Symbols", "type": "array", "description": "FX symbols to filter broker spreads for (e.g. EURUSD, XAUUSD).", "default": [ "EURUSD", "GBPUSD", "USDJPY", "XAUUSD" ], "items": { "type": "string" } }, "calendarDateRange": { "title": "Calendar Date Range", "enum": [ "today", "week", "month" ], "type": "string", "description": "Time range for the ForexFactory economic calendar.", "default": "today" }, "impactFilter": { "title": "Impact Filter", "enum": [ "high", "medium", "all" ], "type": "string", "description": "Minimum news impact level to include in the calendar output.", "default": "all" }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify proxy settings. Recommended to avoid rate limiting." } } }, "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 } } } } } } } } } } ```