What is Udemy Scraper?

Udemy Scraper is a tool designed to extract course data from Udemy, one of the largest online learning platforms. Whether you're looking to analyze course trends, track instructor performance, or compare pricing, this scraper provides structured data to help you make informed decisions.

What Data Can Be Scraped Using Udemy Scraper?

With Udemy Scraper, you can collect various types of data, including:

• Course Titles – Gather the names of courses to analyze trends.
• Instructors – Identify popular instructors and their courses.
• Ratings & Reviews – Fetch user feedback and ratings to evaluate course quality.
• Pricing Information – Compare course prices and discounts.
• Enrollment Numbers – Track course popularity based on student enrollments.
• Categories & Subcategories – Organize courses based on different fields of study.

How It Works?

Getting started with Udemy Scraper on MrScraper is simple and user-friendly. Just follow these steps:

1. Create Your Account: Sign up or log in to your account on MrScraper. It’s quick, easy, and free to get started.
2. Initiate Scraping: Select “New ScrapeGPT” on the homepage and paste the Udemy URL of the page you wish to scrape.
3. Process the Page: Let ScrapeGPT process the selected page. The tool will analyze the page to identify and extract relevant data.
4. Enter a Prompt: Type in your prompt, such as “Get all the data” and ScrapeGPT will handle the rest seamlessly.
5. Download Your Data: Once the scraping is complete, download the data in your preferred format—JSON or CSV—for easy analysis and integration into your workflow.

Input Url

https://www.udemy.com/courses/development/data-science/

Sample Output

The data extracted can be provided in JSON and CSV formats, ensuring compatibility with your workflow. For example:

Sample Output (JSON)

[
    {
        "course_title": "Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2025]",
        "instructors": "Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Ligency Team",
        "rating": "4.5 out of 5",
        "number_of_reviews": "193,927 reviews",
        "total_hours": "42.5 total hours",
        "number_of_lectures": "385 lectures",
        "current_price": "€24.99",
        "course_level": "All Levels",
        "bestseller_status": "Bestseller",
        "course_description": "Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included."
    },
    {
        "course_title": "The Data Science Course: Complete Data Science Bootcamp 2025",
        "instructors": "365 Careers",
        "rating": "4.6 out of 5",
        "number_of_reviews": "149,545 reviews",
        "total_hours": "32 total hours",
        "number_of_lectures": "523 lectures",
        "current_price": "€24.99",
        "course_level": "All Levels",
        "bestseller_status": "Bestseller",
        "course_description": "Complete Data Science Training: Math, Statistics, Python, Advanced Statistics in Python, Machine and Deep Learning."
    },
    {
        "course_title": "Python for Data Science and Machine Learning Bootcamp",
        "instructors": "Jose Portilla, Pierian Training",
        "rating": "4.6 out of 5",
        "number_of_reviews": "148,869 reviews",
        "total_hours": "25 total hours",
        "number_of_lectures": "165 lectures",
        "current_price": "€24.99",
        "course_level": "All Levels",
        "bestseller_status": "",
        "course_description": "Learn how to use NumPy, Pandas, Seaborn, Matplotlib, Plotly, Scikit-Learn, Machine Learning, Tensorflow, and more!"
    },
    {
        "course_title": "Machine Learning & Deep Learning in Python & R",
        "instructors": "Start-Tech Academy",
        "rating": "4.3 out of 5",
        "number_of_reviews": "5,750 reviews",
        "total_hours": "33 total hours",
        "number_of_lectures": "273 lectures",
        "current_price": "€19.99",
        "course_level": "All Levels",
        "bestseller_status": "",
        "course_description": "Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R."
    },
    {
        "course_title": "Deep Learning A-Z 2025: Neural Networks, AI & ChatGPT Prize",
        "instructors": "Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team, Ligency Team",
        "rating": "4.6 out of 5",
        "number_of_reviews": "47,467 reviews",
        "total_hours": "22.5 total hours",
        "number_of_lectures": "188 lectures",
        "current_price": "€29.99",
        "course_level": "All Levels",
        "bestseller_status": "Bestseller",
        "course_description": "Learn to create Deep Learning models in Python from two Machine Learning, Data Science experts. Code templates included."
    },
    {
        "course_title": "Python-Introduction to Data Science and Machine learning A-Z",
        "instructors": "Yassin Marco MBA",
        "rating": "4.2 out of 5",
        "number_of_reviews": "3,602 reviews",
        "total_hours": "7.5 total hours",
        "number_of_lectures": "53 lectures",
        "current_price": "€19.99",
        "course_level": "Beginner",
        "bestseller_status": "",
        "course_description": "Learn Python for Data Science Python For Machine learning and Python Tips and tricks."
    },
    {
        "course_title": "Smart Parking Management System with OpenCV, Python, YOLOv11",
        "instructors": "Muhammad Yaqoob G",
        "rating": "5.0 out of 5",
        "number_of_reviews": "5 reviews",
        "total_hours": "30 total mins",
        "number_of_lectures": "13 lectures",
        "current_price": "€19.99",
        "course_level": "All Levels",
        "bestseller_status": "New",
        "course_description": "Real-Time Vehicle Parking Management System with Python & Computer Vision."
    },
    {
        "course_title": "Data Science Mastery 2025: Excel, Python & Tableau",
        "instructors": "Meritshot Academy",
        "rating": "5.0 out of 5",
        "number_of_reviews": "6 reviews",
        "total_hours": "20 total hours",
        "number_of_lectures": "150 lectures",
        "current_price": "€19.99",
        "course_level": "All Levels",
        "bestseller_status": "New",
        "course_description": "A beginner-friendly data science course covering Excel, Python, Tableau, and statistics with real-world projects."
    },
    {
        "course_title": "AI Agents for Everyone and Artificial Intelligence Bootcamp",
        "instructors": "Vivian Aranha",
        "rating": "4.8 out of 5",
        "number_of_reviews": "11 reviews",
        "total_hours": "35 total hours",
        "number_of_lectures": "133 lectures",
        "current_price": "€19.99",
        "course_level": "Beginner",
        "bestseller_status": "New",
        "course_description": "Learn to Build, Deploy, and Master AI Agents with Hands-On Projects and Practical Applications."
    },
    {
        "course_title": "Use Optimization (Python, GAMS) to model Industrial Systems",
        "instructors": "Energy Data Science Team",
        "rating": "5.0 out of 5",
        "number_of_reviews": "206 reviews",
        "total_hours": "2.5 total hours",
        "number_of_lectures": "27 lectures",
        "current_price": "€19.99",
        "course_level": "All Levels",
        "bestseller_status": "Highest Rated",
        "course_description": "Learn how to model chillers, furnaces, CHP, Batteries, EHP systems using Optimization in Python and GAMS."
    },
    {
        "course_title": "Fast-Track Deep Learning: Master AI Foundations in 15 Days",
        "instructors": "Jannis Seemann",
        "rating": "4.9 out of 5",
        "number_of_reviews": "18 reviews",
        "total_hours": "16.5 total hours",
        "number_of_lectures": "136 lectures",
        "current_price": "€19.99",
        "course_level": "Beginner",
        "bestseller_status": "Hot & New",
        "course_description": "From Zero to your own AI models: Master Deep Learning with PyTorch. No previous experience required."
    },
    {
        "course_title": "Generative AI & LLMs: Foundations to Hands-on Development",
        "instructors": "Dr Mohammad Dabbagh",
        "rating": "5.0 out of 5",
        "number_of_reviews": "12 reviews",
        "total_hours": "1 total hour",
        "number_of_lectures": "9 lectures",
        "current_price": "€19.99",
        "course_level": "All Levels",
        "bestseller_status": "New",
        "course_description": "Generative AI, Large Language Models (LLMs), GPT models, Hugging Face Transformers, Python, Google Colab, PyTorch."
    },
    {
        "course_title": "LangChain- Develop LLM powered applications with LangChain",
        "instructors": "Eden Marco | LLM Specialist",
        "rating": "4.6 out of 5",
        "number_of_reviews": "24,306 reviews",
        "total_hours": "10 total hours",
        "number_of_lectures": "85 lectures",
        "current_price": "€19.99",
        "course_level": "Intermediate",
        "bestseller_status": "",
        "course_description": "Learn LangChain by building FAST a real world generative ai LLM powered application LLM (Python, Latest Version 0.3.0)."
    },
]

Sample Output (CSV)

Is Scraping Udemy Legal?

Scraping Udemy, like any website, falls under legal and ethical considerations. While publicly available data may be accessed, Udemy’s Terms of Service may restrict automated data extraction. To avoid legal issues:

• Check Udemy’s policies before scraping.
• Use ethical scraping methods that respect robots.txt rules.
• Avoid scraping personal or sensitive user data.

FAQ

1. Can I scrape Udemy courses without getting blocked?

Using rotating proxies, delays, and user-agent switching can help reduce the chances of getting blocked. However, scraping at a high frequency may trigger Udemy’s anti-scraping mechanisms.

2. How can I use the scraped data?

The extracted data can be used for:

• Market research to identify trending courses.
• Competitor analysis to compare pricing and ratings.
• Personalized learning recommendations based on course popularity.

3. Does Udemy allow scraping?

Udemy’s Terms of Service may prohibit automated data extraction. It’s best to check their policies and consider using Udemy’s API for approved data access.

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