# Udemy Course Review Scraper (`getdataforme/udemy-course-review-scraper`) Actor Extract comprehensive reviews from Udemy courses to uncover insights on quality, feedback, and trends. This reliable scraper offers high accuracy, proxy support, fast performance, and structured JSON output, empowering educators, marketers, and researchers with data-driven decisions. - **URL**: https://apify.com/getdataforme/udemy-course-review-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, AI, Developer tools - **Stats:** 6 total users, 0 monthly users, 100.0% runs succeeded, 0 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Udemy Course Review Scraper ### Introduction The Udemy Course Review Scraper is a powerful Apify Actor designed to extract detailed reviews from Udemy courses efficiently and reliably. It helps users gather valuable insights into course quality, student feedback, and market trends by scraping review data from specified Udemy course URLs. This tool is ideal for educators, marketers, and researchers seeking data-driven decisions without manual effort. ### Features - **Comprehensive Data Extraction**: Scrapes review content, ratings, timestamps, and user details from Udemy courses. - **High Accuracy and Reliability**: Uses robust scraping techniques to ensure data integrity and minimize errors. - **Flexible Configuration**: Supports multiple URLs and customizable item limits for targeted scraping. - **Proxy Support**: Integrates with Apify Proxy for anonymous and efficient data collection. - **Fast Performance**: Optimized for quick execution, handling large volumes of reviews seamlessly. - **Structured Output**: Delivers clean, JSON-formatted data ready for analysis or export. - **Error Handling**: Built-in mechanisms to manage rate limits and website changes gracefully. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | ItemLimit | integer | No | The maximum number of reviews to scrape per URL. Must be at least 1. | 10 | | Urls | array | No | List of Udemy course URLs to scrape. Each URL must be a valid HTTP/HTTPS link. | \["https://www.udemy.com/course/content-marketing-masterclass/"] | | proxyConfiguration | object | No | Proxy settings to hide the scraper's origin, using Apify Proxy by default. | {"useApifyProxy": true, "apifyProxyGroups": \[]} | ### Example Usage #### Input JSON ```json { "ItemLimit": 10, "Urls": [ "https://www.udemy.com/course/content-marketing-masterclass/" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } } ``` #### Output JSON ```json [ { "review_id": 225597023, "content": "Great course", "rating": 4.5, "created": "2026-01-02T06:42:57-08:00", "modified": "2026-01-03T15:04:18-08:00", "user_modified": "2026-01-02T06:42:57-08:00", "user": { "name": "Udemy User", "initials": "", "image": "https://img-c.udemycdn.com/user/50x50/anonymous_3.png" }, "response": null, "created_formatted": "a week ago" } ] ``` ### Use Cases - **Market Research**: Analyze review trends to identify popular topics and course strengths in online education. - **Competitive Intelligence**: Compare ratings and feedback across similar Udemy courses to benchmark performance. - **Price Monitoring**: Track student satisfaction to inform pricing strategies for educational content. - **Content Aggregation**: Collect reviews for building databases of user-generated content for blogs or reports. - **Academic Research**: Study patterns in student feedback for educational studies or thesis work. - **Business Automation**: Automate data collection for dashboards monitoring course success metrics. ### Installation and Usage 1. Search for "Udemy Course Review Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 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 data in JSON format, with each review as an object in an array. Key fields include: - `review_id`: Unique identifier for the review. - `content`: The text of the review. - `rating`: Numerical rating (e.g., 4.5). - `created` and `modified`: ISO-formatted timestamps. - `user`: Object with user details like name and image URL. - `response`: Instructor's reply, if any. - `created_formatted`: Human-readable time (e.g., "a week ago"). This structured format ensures easy parsing and integration into analysis tools. ### 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! # Actor input Schema ## `ItemLimit` (type: `integer`): The item limit for the spider. ## `Urls` (type: `array`): The urls for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "ItemLimit": 10, "Urls": [ "https://www.udemy.com/course/content-marketing-masterclass/" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/udemy-course-review-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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": [], } } # Run the Actor and wait for it to finish run = client.actor("getdataforme/udemy-course-review-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [] } }' | apify call getdataforme/udemy-course-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/udemy-course-review-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/CDfdE8FFUSkyLymXR/builds/2BGbWVO7d9fz3uZRz/openapi.json