# Ctrader Discovery Scraper (`getdataforme/ctrader-discovery-scraper`) Actor Extract and analyze cTrader's trading bots and strategies with this powerful scraper. Search by keywords, scrape up to 10,000 items including ratings, tags, and prices. Get structured JSON for market research, competitive insights, and automation.... - **URL**: https://apify.com/getdataforme/ctrader-discovery-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation, Agents, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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/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 ## CTrader Discovery Scraper ### Introduction The CTrader Discovery Scraper is a powerful Apify Actor designed to extract and aggregate data from the cTrader platform's discovery section. It enables users to search for trading bots, strategies, and related content by keywords, providing structured data for analysis and integration. This tool is ideal for traders, analysts, and developers seeking automated access to cTrader's marketplace insights. ### Features - **Keyword-Based Search**: Perform targeted searches on cTrader's discovery platform using custom queries to find relevant trading bots and strategies. - **Scalable Data Extraction**: Scrape up to 10,000 items per run, ensuring comprehensive coverage for large-scale data needs. - **Structured JSON Output**: Delivers clean, machine-readable data including bot details, ratings, tags, and pricing information. - **High Reliability**: Built with robust error handling and anti-detection measures to minimize failures during scraping. - **Fast Performance**: Optimized for speed, processing searches efficiently without compromising data quality. - **Flexible Integration**: Easily export results to JSON, CSV, or Excel for use in dashboards, reports, or downstream applications. - **No Coding Required**: User-friendly interface on Apify Store for quick setup and execution. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|------------------| | searchQuery | string | Yes | The keyword to search for on the cTrader discovery platform. | "rooster" | | maxItems | integer | No | Maximum number of products to scrape. Defaults to 100 if not specified. | 500 | ### Example Usage #### Input ```json { "searchQuery": "rooster", "maxItems": 100 } ```` #### Output ```json [ { "id": 852, "userId": 331998, "userNick": "Moss_Klugt", "type": "BOT", "title": "needThaiBot Consecutive Win", "shortDescription": "45,246 Max Consecutive Winning Trades, Please Use Default Setting Before Running Optimisation Features, ENJOY!!!", "logo": "https://cdn.ctrader.com/4e4679d9-1236-4253-a508-fe584950a3d3_NeedThai logo.png", "logoImage": { "id": 3670, "images": { "ORIGINAL": { "id": 3875, "url": "https://cdn.ctrader.com/4e4679d9-1236-4253-a508-fe584950a3d3_NeedThai logo.png" } } }, "userCount": 0, "userAvatar": "https://social-images-215c11ee-be56.s3.eu-west-2.amazonaws.com/user-331998/avatars/mediumAvatarFileUrl-331998-1725861756.png", "items": [ { "id": 6317, "price": 200, "promoPrice": 124, "priceCurrency": "USD", "type": "MAIN" } ], "algorithmId": 1142877, "ratingSummary": { "averageRating": 0, "totalReviews": 0, "ratingDistribution": {} }, "labels": [], "tags": [ { "id": 21, "name": "RSI", "category": "Indicator" }, { "id": 3, "name": "Indices", "category": "Market" }, { "id": 13, "name": "XAUUSD", "category": "Symbol" }, { "id": 5, "name": "Stocks", "category": "Market" }, { "id": 2, "name": "Commodities", "category": "Market" }, { "id": 22, "name": "ATR", "category": "Indicator" }, { "id": 1, "name": "Forex", "category": "Market" }, { "id": 14, "name": "EURUSD", "category": "Symbol" }, { "id": 17, "name": "GBPUSD", "category": "Symbol" }, { "id": 16, "name": "USDJPY", "category": "Symbol" }, { "id": 8, "name": "AI", "category": "Strategy" } ], "hasTrial": true, "doesNotOpenPositions": false } ] ``` ### Use Cases - **Market Research**: Analyze trending trading strategies and bots to identify popular indicators and markets. - **Competitive Intelligence**: Monitor competitors' offerings and pricing on the cTrader platform. - **Price Monitoring**: Track promotional prices and discounts for trading tools. - **Content Aggregation**: Build datasets of bot descriptions, tags, and user ratings for content creation. - **Academic Research**: Study patterns in trading algorithms and user adoption. - **Business Automation**: Integrate scraped data into trading dashboards or notification systems for real-time insights. ### Installation and Usage 1. Search for "CTrader Discovery Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The output is an array of JSON objects, each representing a scraped item from the cTrader discovery platform. Key fields include: - `id`: Unique identifier for the item. - `userId` and `userNick`: Details about the creator. - `type`: Item type (e.g., "BOT"). - `title` and `shortDescription`: Name and brief overview. - `logo` and `logoImage`: Image URLs. - `userCount`: Number of users. - `items`: Pricing details, including price, promoPrice, and currency. - `algorithmId`: Associated algorithm ID. - `ratingSummary`: Average rating and review counts. - `tags`: Array of tags with categories like indicators, markets, and symbols. - `hasTrial` and `doesNotOpenPositions`: Boolean flags for features. Data is extracted in real-time and may vary based on platform updates. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** **Concise Description (248 characters):**\ Unlock cTrader's discovery data effortlessly! This scraper searches for trading bots by keywords, extracts up to 10,000 items with ratings, tags, and prices. Perfect for market research, competitive analysis, and automation. Get structured JSON outputs fast. Try it now on Apify Store! # Actor input Schema ## `searchQuery` (type: `string`): The keyword to search for on Cracker Barrel shop. ## `maxItems` (type: `integer`): Maximum number of products to scrape. ## Actor input object example ```json { "searchQuery": "rooster", "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("getdataforme/ctrader-discovery-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("getdataforme/ctrader-discovery-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 getdataforme/ctrader-discovery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/ctrader-discovery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ctrader Discovery Scraper", "description": "Extract and analyze cTrader's trading bots and strategies with this powerful scraper. Search by keywords, scrape up to 10,000 items including ratings, tags, and prices. Get structured JSON for market research, competitive insights, and automation....", "version": "0.0", "x-build-id": "KCxDXWPEud2kwZlCN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~ctrader-discovery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-ctrader-discovery-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~ctrader-discovery-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-ctrader-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~ctrader-discovery-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-ctrader-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "The keyword to search for on Cracker Barrel shop.", "default": "rooster" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of products to scrape.", "default": 100 } } }, "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 } } } } } } } } } } ```