Udemy topic pages list every course in a subject category - Python programming, digital marketing, data science, graphic design, and hundreds of other topics. For course creators planning their next launch, this is the competitive landscape. For training buyers, it is the selection menu.
But with hundreds of courses per topic, manually reviewing listings is overwhelming. This Udemy topic scraper extracts every course from a Udemy topic or category page: topics, titles, descriptions, instructors, ratings, enrollment counts, prices, course length, number of lectures, learner level, course thumbnails, bestseller status, and related topics. Use it to size a market, benchmark your course against competitors, or build a curated catalog of the best courses in any subject.
What topic-level Udemy extraction delivers:
| Position | Course Title | Instructor | Rating | Learners |
|---|---|---|---|---|
| #1 | Python for Data Science Masterclass | John Smith | 4.8 | 125,400 |
| #2 | Advanced Python Programming | Sarah Johnson | 4.7 | 98,200 |
| #3 | Python Web Development with Django | Mike Chen | 4.6 | 76,800 |
| #4 | Complete Python Bootcamp 2024 | Emily Davis | 4.9 | 156,300 |
| #5 | Python Machine Learning Guide | Alex Rodriguez | 4.5 | 64,100 |
No Udemy API, no affiliate credentials, and no programming needed. Navigate to any Udemy topic page and the robot extracts all the course listings.
Ready to get started?
Try this robot free →Topic-level course data from Udemy helps creators, buyers, and researchers understand the online learning marketplace:
Each course listed on the Udemy topic page becomes a row with these fields:
| Field | What it contains |
|---|---|
| Course Topic | The primary topic or category of the course. |
| Course Title | The title of the course as displayed on the topic page. |
| Course Link | Direct link to the course detail page on Udemy. |
| Description | The course description as shown on the listing. |
| Instructor | The name of the course instructor. |
| Rating | The aggregate student rating. |
| Total Reviews | The total number of student reviews. |
| Price | The listed course price. |
| Number of Learners | Total number of students enrolled. |
| Course Length | The total hours of video content. |
| Number of Lectures | The total count of lectures in the course. |
| Learner Level | The difficulty level (Beginner, Intermediate, Advanced, All Levels). |
| Course Thumbnail | Image thumbnail for the course. |
| Bestseller | Whether the course is marked as a bestseller. |
| Position | The listing position on the topic page. |
| Related Topic | Related topics suggested by Udemy. |
| Topic Link | Link to a related topic page. |
Udemy updates topic pages as courses are published, updated, or removed. The extraction captures the current state. Schedule regular runs to track category evolution over time.
How do I scrape Udemy courses by topic?
Navigate to any Udemy topic page, copy the URL, and paste it into this robot. It extracts every course listing with topics, titles, descriptions, ratings, enrollments, prices, course length, lectures, learner level, thumbnails, bestseller status, and related topics.
How is this different from the Udemy course detail scraper?
This scraper extracts listing-level data from an entire topic page - giving you an overview of all courses in a category. The course detail scraper goes deeper into individual course pages for curriculum, reviews, and full descriptions.
Can I scrape courses from search results?
Yes. You can also paste Udemy search result URLs. The robot extracts course listings from both topic pages and search results.
Do I need a Udemy API key?
No. This robot works without any API credentials, accessing the publicly visible Udemy pages directly.
Is this Udemy topic scraper free?
Browse AI's free plan includes credits to run this robot at no cost. Create an account without a credit card to start.
Can I compare multiple topics?
Yes. Queue URLs for different Udemy topics and all data flows into one dataset. Compare market sizes, pricing, quality, course structure, and difficulty levels across categories.
Topic-level data shows you the landscape - go deeper with individual course details and student reviews:
Every course in a category - titles, ratings, enrollments, prices - in your spreadsheet.