Udemy Course Reviews Scraper

Extract Udemy course reviews at scale with intelligent proxy management and real-time data collection

Scrape Udemy course reviews efficiently with our powerful Apify Actor. Get structured review data including ratings, content, user information, and timestamps. Perfect for market research, competitor analysis, sentiment analysis, and course quality assessment.

🎯 Why Choose This Udemy Reviews Scraper?

Our Udemy course reviews scraper stands out with intelligent proxy fallback, live data saving, and robust error handling. Built for reliability and scale, it automatically handles rate limits and blocks while ensuring maximum data collection success.

Key Advantages

• Zero Configuration Proxy Management: Automatically switches from direct requests to datacenter proxies, then residential proxies if blocked
• Live Data Saving: Reviews are saved to Apify Dataset in real-time, so you never lose data even if the scraper stops
• Bulk Processing: Scrape multiple courses simultaneously with configurable concurrency
• Comprehensive Data: Extract ratings, review content, user profiles, timestamps, and more
• Production-Ready: Built with error handling, retry logic, and detailed logging

✨ Key Features

🚀 Intelligent Proxy Fallback System

The scraper uses a smart three-tier proxy strategy:

1. Direct Requests (Default): Starts with no proxy for maximum speed and cost efficiency
2. Automatic Datacenter Fallback: If Udemy blocks direct requests, automatically switches to datacenter proxies
3. Residential Proxy Fallback: If datacenter proxies are blocked, falls back to residential proxies with 3 retries
4. Sticky Residential Mode: Once residential proxy is used, it becomes sticky for all remaining requests to ensure consistency

📊 Complete Review Data Extraction

Extract comprehensive review information:

• Review Content: Full text of each review
• Ratings: Star ratings (1.0 to 5.0)
• User Information: Display names, initials, profile images, tracking IDs
• Timestamps: Created, modified, and user-modified dates
• Formatted Dates: Human-readable time since posting (e.g., "2 weeks ago")
• Course URLs: Direct links to each course

⚡ Performance & Reliability

• Async Processing: Concurrent scraping for multiple courses
• Live Saving: Data saved immediately to prevent loss
• Error Handling: Automatic retries with exponential backoff
• Rate Limiting: Built-in delays to respect Udemy's rate limits
• Detailed Logging: Track every step of the scraping process

📥 Input Configuration

Required Fields

• urls (array): List of Udemy course URLs to scrape
  • Example: ["https://www.udemy.com/course/100-days-of-code/"]
  • Supports full URLs or course slugs

Optional Fields

• maxItems (integer): Maximum number of reviews to fetch per course

  • Default: 10
  • Minimum: 1
  • Set to null to fetch all available reviews

• proxyConfiguration (object): Proxy settings

  • Default: No proxy (direct requests)
  • Auto-fallback to datacenter then residential if blocked
  • Configure Apify proxy groups if needed

Input Example

{
  "urls": [
    "https://www.udemy.com/course/100-days-of-code/",
    "https://www.udemy.com/course/python-for-data-science/"
  ],
  "maxItems": 50,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

📤 Output Format

Each review is saved as a structured JSON object with the following fields:

{
  "courseUrl": "https://www.udemy.com/course/100-days-of-code/",
  "class": "course_review",
  "id": 223523111,
  "content": "I had never known how to code and did not know it was something that would really catch my interest...",
  "rating": 5.0,
  "created": "2025-12-07T09:46:39-08:00",
  "modified": "2025-12-08T15:13:23-08:00",
  "user_modified": "2025-12-07T09:50:58-08:00",
  "user": {
    "_class": "user",
    "title": "Aralyn Violet Sassenberg",
    "name": "Aralyn Violet",
    "display_name": "Aralyn Violet Sassenberg",
    "image_50x50": "https://img-c.udemycdn.com/user/50x50/anonymous_3.png",
    "initials": "AS",
    "tracking_id": "ULJIYFkwR22D5dVDaF4sVQ",
    "public_display_name": "Aralyn Violet S."
  },
  "created_formatted_with_time_since": "a week ago"
}

Output Fields Explained

• courseUrl: Full URL of the course being reviewed
• class: Type identifier (always "course_review")
• id: Unique review ID
• content: Full text content of the review
• rating: Numeric rating from 1.0 to 5.0
• created/modified/user_modified: ISO 8601 timestamps
• user: Reviewer information (name, display_name, image_50x50, initials, tracking_id, public_display_name)
• created_formatted_with_time_since: Human-readable time since posting

🚀 How to Use the Actor

Via Apify Console

1. Navigate to Actors: Log in at https://console.apify.com and go to the Actors section

2. Find the Actor: Search for "udemy-course-reviews-scraper" or locate it in your actor list

3. Configure Input:

   • Add Udemy course URLs in the urls field
   • Set maxItems to limit reviews per course (optional)
   • Configure proxy settings if needed (optional)

4. Run the Actor: Click Start to begin scraping

5. Monitor Progress: Watch real-time logs showing:

   • Proxy status (DIRECT, DATACENTER, RESIDENTIAL)
   • Pages being scraped
   • Reviews collected
   • Any errors or fallbacks

6. Access Results:

   • Go to the Dataset tab to view scraped reviews
   • Export data as JSON, CSV, or Excel
   • Use the API to integrate with your applications

Via Apify API

curl -X POST "https://api.apify.com/v2/acts/YOUR_ACTOR_ID/runs" \
  -H "Authorization: Bearer YOUR_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "urls": ["https://www.udemy.com/course/100-days-of-code/"],
    "maxItems": 100
  }'

Via Apify SDK

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")

run = client.actor("YOUR_ACTOR_ID").call(
    run_input={
        "urls": ["https://www.udemy.com/course/100-days-of-code/"],
        "maxItems": 100
    }
)

# Wait for run to finish
client.run(run["data"]["id"]).wait_for_finish()

# Get results
dataset_items = client.dataset(run["data"]["defaultDatasetId"]).list_items()

💼 Best Use Cases

Market Research & Competitive Analysis

Analyze competitor courses by scraping their reviews to understand:

• What students like and dislike
• Common pain points and complaints
• Feature requests and suggestions
• Rating trends over time

Sentiment Analysis & NLP Projects

Collect large datasets of review text for:

• Sentiment analysis models
• Natural language processing research
• Text classification training data
• Opinion mining projects

Course Quality Assessment

Evaluate course quality by analyzing:

• Average ratings across multiple courses
• Review content patterns
• User engagement metrics
• Time-based review trends

Data Science & Analytics

Build datasets for:

• Machine learning model training
• Statistical analysis of course performance
• Trend identification and forecasting
• Academic research projects

Business Intelligence

Gain insights for:

• Course pricing strategies
• Content improvement opportunities
• Market positioning analysis
• Customer satisfaction tracking

❓ Frequently Asked Questions

How many reviews can I scrape?

There's no hard limit. Set maxItems to control how many reviews per course, or leave it unset to scrape all available reviews. The scraper handles pagination automatically.

Will I get blocked by Udemy?

The scraper includes intelligent proxy fallback to minimize blocks:

• Starts with direct requests (fastest, no cost)
• Automatically switches to proxies if blocked
• Uses residential proxies as final fallback
• Includes rate limiting and delays

How long does scraping take?

Scraping speed depends on:

• Number of courses
• Reviews per course
• Proxy mode (direct is fastest)
• Rate limits encountered

Typically, 100 reviews take 1-3 minutes with direct requests.

Can I scrape private courses?

No. This scraper only accesses publicly available review data. Private or restricted courses cannot be scraped.

What happens if the scraper stops?

All successfully scraped reviews are saved to the Apify Dataset in real-time. Even if the scraper stops, you won't lose data that was already collected.

Do I need to configure proxies?

No. The scraper defaults to direct requests (no proxy). It automatically falls back to proxies only if needed. You can optionally configure proxy settings in the input.

Can I scrape multiple courses at once?

Yes! Add multiple URLs to the urls array. The scraper processes them concurrently for maximum efficiency.

What data format is the output?

Reviews are saved as JSON objects in the Apify Dataset. You can export to JSON, CSV, Excel, or access via API.

Is the scraper legal?

This scraper only accesses publicly available review data. You are responsible for ensuring compliance with:

• Terms of service of Udemy
• Local data protection laws (GDPR, CCPA, etc.)
• Anti-spam regulations
• Any applicable privacy laws

Always review and comply with Udemy's Terms of Service and robots.txt before scraping.

⚠️ Important Notes & Cautions

Legal Compliance

• Public Data Only: Collects only publicly available review data
• No Private Content: Private accounts or restricted courses cannot be accessed
• User Responsibility: Ensure compliance with Udemy's Terms of Service, data protection laws (GDPR, CCPA), anti-spam regulations, and local privacy legislation

Rate Limiting & Data Accuracy

The scraper includes built-in delays to respect Udemy's rate limits. Aggressive scraping may trigger blocks, but automatic proxy fallback helps mitigate this. Review data is collected exactly as displayed on Udemy without modification or filtering.

📞 Support and Feedback

💬 For custom solutions or feature requests, contact us at: dev.scraperengine@gmail.com

Getting Help

• Documentation: Check this README for common questions
• Apify Support: Visit Apify Support for platform-related issues
• Actor Issues: Report bugs or request features via email

We welcome feedback, feature requests, bug reports, and use case examples.

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Built with ❤️ for the Apify community

Last updated: 2025