# Codefinity Discovery Scraper (`getdataforme/codefinity-discovery-scraper`) Actor Discover comprehensive course data from Codefinity with this Apify Actor. Perform keyword-based searches to extract ratings, descriptions, skills, and enrollment details. Customize limits up to 10,000, use proxies for anonymity, and get structured JSON output.... - **URL**: https://apify.com/getdataforme/codefinity-discovery-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Codefinity Discovery Scraper The Codefinity Discovery Scraper is a powerful Apify Actor designed to extract comprehensive course data from the Codefinity learning platform. It enables users to search for courses based on keywords and retrieve detailed information such as descriptions, ratings, skills, and more, making it ideal for educational research, content analysis, and market insights. This tool streamlines data collection from Codefinity, providing structured, reliable outputs for various analytical needs. ### Features - **Keyword-Based Search**: Perform targeted searches for courses using specific keywords like 'chat', 'ai', or 'shop' to find relevant educational content. - **Customizable Result Limits**: Set the maximum number of items to scrape, ranging from 1 to 10,000, with a default of 100 for efficient data handling. - **Proxy Support**: Utilizes residential proxies to ensure anonymity and avoid IP blocking during scraping operations. - **Comprehensive Data Extraction**: Captures detailed course metadata, including ratings, descriptions, skills, and progress indicators. - **High Reliability**: Built on Apify's robust infrastructure for consistent performance and error-resistant scraping. - **Structured JSON Output**: Delivers clean, parseable data in JSON format, ready for integration into databases or analysis tools. - **Fast and Scalable**: Optimized for quick execution, handling large volumes of data without compromising speed. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | `searchQuery` | string | Yes | Keyword to search for in Codefinity courses (e.g., 'chat', 'ai', 'shop'). | "chat" | | `maxItems` | integer | No | Maximum number of auction results to scrape. Must be between 1 and 10,000. Default is 100. | 100 | | `proxyConfiguration` | object | No | Specifies proxy servers to hide the scraper's origin. Defaults to using Apify's residential proxies. | `{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}` | ### Example Usage #### Input Example ```json { "searchQuery": "SQL", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` #### Output Example ```json [ { "author": "Alina Myronets", "averageRating": 4.752679938744257, "description": "This course is perfect for beginners ready to explore the world of SQL. Whether you're just starting out in database management or aiming to use SQL for your application development projects, this course covers the essentials. You'll quickly learn how to leverage the full potential of SQL, from querying and managing data to seamlessly integrating it into real-world applications. By the end of the course, you'll have the confidence and skills to solve practical problems with SQL and enhance your development process.", "direction": "SQL", "enabled": false, "estimateHoursToComplete": 3.8, "free": false, "generatedImage": "https://master-cms-files-xso4pllq.s3.eu-west-1.amazonaws.com/files/e63836c9-cee7-4cd7-9e93-2349d76350a7_b3ddb247eebc4cd4a8590d9c1428d0bf.svg", "idField": "b3ddb247-eebc-4cd4-a859-0d9c1428d0bf", "image": "https://master-cms-files-xso4pllq.s3.eu-west-1.amazonaws.com/files/45d946ed-faaf-4e28-aec3-8ecc25c6b08d_dbd203cd70144150a3907ff9cfbd6d94.svg", "industry": "", "isBookmarked": false, "isLocalized": false, "isUserCustomized": false, "keywords": [ "Data Manipulation", "Basic Programming Concepts" ], "label": "Introduction to SQL", "lastVisitedChapter": "", "level": "Beginner", "mobileGeneratedImage": "https://master-cms-files-xso4pllq.s3.eu-west-1.amazonaws.com/files/6d8e720b-ef80-4c51-8e30-f29a6e32df74_b3ddb247eebc4cd4a8590d9c1428d0bf.webp", "mobileImage": "https://master-cms-files-xso4pllq.s3.eu-west-1.amazonaws.com/files/5563d65d-0890-4215-a91f-3911deb9c1bd_948568904f0e4c3aa2aabe4f6e75b3f6.webp", "nextChapter": { "id": "", "courseType": "" }, "ordering": 1, "originalLabel": "Introduction to SQL", "progressPercent": 0, "skills": [ "SQL Basics", "Data Manipulation" ], "state": "production", "studyingNow": 62, "studyingTotal": 28808, "tags": [], "technology": "SQL", "topics": [ { "label": "Data Analytics", "enabled": false }, { "label": "Databases", "enabled": false }, { "label": "Programming Fundamentals", "enabled": false } ], "totalChapters": 41, "totalRatings": 2612, "type": "course", "userId": "", "version": "" } ] ``` ### Use Cases - **Market Research and Analysis**: Analyze trends in educational content by scraping course data for keywords related to emerging technologies. - **Competitive Intelligence**: Monitor competitors' course offerings on Codefinity to identify gaps and opportunities in the learning market. - **Price Monitoring**: Track course pricing and availability to inform pricing strategies for similar educational products. - **Content Aggregation**: Build a database of courses for content curation platforms or educational directories. - **Academic Research**: Collect data on course popularity, ratings, and topics for studies on online learning trends. - **Business Automation**: Automate data extraction for reports on skill development and training programs. ### Installation and Usage 1. Search for "Codefinity 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 Actor outputs an array of JSON objects, each representing a course from Codefinity. Key fields include: - `author`: The course creator's name. - `averageRating`: Average user rating (float). - `description`: Detailed course description. - `direction`: Primary subject area (e.g., "SQL"). - `estimateHoursToComplete`: Estimated completion time in hours. - `free`: Boolean indicating if the course is free. - `keywords` and `skills`: Arrays of relevant terms. - `label`: Course title. - `level`: Difficulty level (e.g., "Beginner"). - `studyingNow` and `studyingTotal`: Current and total enrollment numbers. - `topics`: Array of topic objects with labels and enabled status. - `totalChapters` and `totalRatings`: Chapter count and rating count. Data is structured for easy parsing and integration. ### 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! *** ### PART 2: Concise Description Unlock insights into Codefinity's vast course library with our Discovery Scraper. Effortlessly search by keywords, extract detailed course data like ratings, skills, and descriptions, and scale up to 10,000 results. Ideal for market research, competitive analysis, and educational content aggregation. Start scraping today and power your data-driven decisions! (248 characters) # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search for in GoDaddy auctions (e.g. 'chat', 'ai', 'shop'). ## `maxItems` (type: `integer`): Maximum number of auction results to scrape. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "searchQuery": "chat", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "searchQuery": "chat", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/codefinity-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 = { "searchQuery": "chat", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/codefinity-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 '{ "searchQuery": "chat", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/codefinity-discovery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/codefinity-discovery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Codefinity Discovery Scraper", "description": "Discover comprehensive course data from Codefinity with this Apify Actor. Perform keyword-based searches to extract ratings, descriptions, skills, and enrollment details. Customize limits up to 10,000, use proxies for anonymity, and get structured JSON output....", "version": "0.0", "x-build-id": "2cjsS7OLIVTOYb66S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~codefinity-discovery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-codefinity-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~codefinity-discovery-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-codefinity-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~codefinity-discovery-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-codefinity-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Keyword to search for in GoDaddy auctions (e.g. 'chat', 'ai', 'shop')." }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of auction results to scrape.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```