# Multi-Platform Course Scraper (`akashkiduniya/course-scraper`) Actor Scrapes course pages from Udemy, Coursera, Skillshare, Domestika and others. Uses Playwright for JS-heavy sites. - **URL**: https://apify.com/akashkiduniya/course-scraper.md - **Developed by:** [Akash Sharma](https://apify.com/akashkiduniya) (community) - **Categories:** Other - **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 ## Multi-Platform Course Scraper — Apify Actor v2 Scrapes course pages from multiple platforms using the right crawler for each: | Platform | Crawler | Notes | |----------|---------|-------| | Udemy | Cheerio (fast) | Server-rendered, JSON-LD | | Coursera | Cheerio (fast) | Rich JSON-LD, partner/university info | | edX | Cheerio (fast) | Standard meta tags | | Skillshare | Playwright (JS) | Requires JS rendering | | Domestika | Playwright (JS) | Multi-language, JS-heavy | | Masterclass | Playwright (JS) | JS-heavy | | Others | Cheerio (fast) | Generic meta/JSON-LD extraction | ### Setup 1. Install Apify CLI: `npm i -g apify-cli` 2. Login: `apify login` 3. Deploy: `cd course-scraper && npm install && apify push` ### Usage ```json { "urls": [ "https://www.udemy.com/course/some-course/", "https://www.coursera.org/learn/some-course", "https://www.skillshare.com/en/classes/some-class/123456", "https://www.domestika.org/en/courses/12345-some-course" ], "proxyConfiguration": { "useApifyProxy": true } } ```` URLs are automatically routed to CheerioCrawler (fast, lightweight) or PlaywrightCrawler (full browser) based on the platform. ### Output Each course produces a dataset item with `platform` field: ```json { "url": "...", "platform": "coursera", "success": true, "data": { "title": "...", "short_description": "...", "instructor_name": "...", "rating": 4.7, "num_students": 50000, "duration": "12h", "what_you_learn": ["..."], "tags": ["beginner"] } } ``` # Actor input Schema ## `urls` (type: `array`): List of course URLs to scrape. Use the course page URL (e.g. https://www.udemy.com/course/course-name/) — do NOT include /enroll/ at the end. ## `country` (type: `string`): 2-letter country code (ISO 3166-1 alpha-2) for localized pricing. Affects currency and regional prices shown on Udemy. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Use country-targeted proxies for accurate regional pricing. ## Actor input object example ```json { "urls": [ "https://www.udemy.com/course/100-days-of-code/", "https://www.udemy.com/course/the-complete-javascript-course/" ], "country": "US", "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `courses` (type: `string`): Full structured course data scraped from all input URLs. Each item includes title, instructor, pricing, rating, curriculum, and platform metadata. ## `summary` (type: `string`): JSON summary of the run including total URLs processed, success/failure counts, and per-platform breakdown. # 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 = { "urls": [ "https://www.udemy.com/course/100-days-of-code/", "https://www.udemy.com/course/the-complete-javascript-course/" ], "country": "US", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("akashkiduniya/course-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 = { "urls": [ "https://www.udemy.com/course/100-days-of-code/", "https://www.udemy.com/course/the-complete-javascript-course/", ], "country": "US", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("akashkiduniya/course-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 '{ "urls": [ "https://www.udemy.com/course/100-days-of-code/", "https://www.udemy.com/course/the-complete-javascript-course/" ], "country": "US", "proxyConfiguration": { "useApifyProxy": true } }' | apify call akashkiduniya/course-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=akashkiduniya/course-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Multi-Platform Course Scraper", "description": "Scrapes course pages from Udemy, Coursera, Skillshare, Domestika and others. Uses Playwright for JS-heavy sites.", "version": "2.0", "x-build-id": "SFKEaTmfhfUu0bh9t" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/akashkiduniya~course-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-akashkiduniya-course-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/akashkiduniya~course-scraper/runs": { "post": { "operationId": "runs-sync-akashkiduniya-course-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/akashkiduniya~course-scraper/run-sync": { "post": { "operationId": "run-sync-akashkiduniya-course-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": [ "urls" ], "properties": { "urls": { "title": "Course URLs", "type": "array", "description": "List of course URLs to scrape. Use the course page URL (e.g. https://www.udemy.com/course/course-name/) — do NOT include /enroll/ at the end.", "items": { "type": "string" } }, "country": { "title": "Pricing Country", "enum": [ "US", "IN", "GB", "DE", "FR", "ES", "IT", "NL", "BR", "MX", "JP", "KR", "AU", "CA", "TR", "PL" ], "type": "string", "description": "2-letter country code (ISO 3166-1 alpha-2) for localized pricing. Affects currency and regional prices shown on Udemy.", "default": "US" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. Use country-targeted proxies for accurate regional pricing.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```