docs / udemy

Udemy API scraper

base /udemy/v17 endpoints

post/udemy/v1/search2 credits

Search Udemy courses by keyword (any topic, e.g. 'python', 'excel', 'machine learning'). Returns a paginated list of course cards — id, title, headline, instructors, rating, review count, level, duration, language — most-relevant first. Feed a result's course_id into detail / pricing / reviews / curriculum. Page with `page`; meta.has_more / meta.total_count tell you how many.

Parameter		Allowed / range	Description
query	required	—	The keyword(s) to search Udemy courses for (a topic, skill, tool or course title — e.g. 'python', 'excel formulas', 'aws certified').
page = 1	optional	1–1000	Page number (results are paginated). Page until meta.has_more is false.
page_size = 12	optional	1–24	Results per page (1-24, default 12).

Try in playground →

post/udemy/v1/detail1 credit

Full course card for a Udemy course by URL, slug or id: title, headline, instructors, rating, review count, subscriber count, level, language, duration, price, category, description, what-you'll-learn, requirements and target audience.

Parameter		Allowed / range	Description
course_id	optional	—	The Udemy course to look up — its numeric id (the number in /course/<slug>/ → api id), its slug, or a full Udemy course URL (https://www.udemy.com/course/the-complete-python-bootcamp/). A URL/slug is resolved to the course automatically.

Try in playground →

post/udemy/v1/pricing1 credit

Live price, list price and discount price for one or many Udemy courses by id (comma-separated). Fast, lightweight — use it to track current/sale pricing.

Parameter		Allowed / range	Description
course_ids	required	—	One or more numeric Udemy course ids, comma-separated (up to 50). Get ids from the detail action.

Try in playground →

post/udemy/v1/reviews1 credit

Paginated public student reviews for a course by id: star rating, review text, date and the instructor's reply. Page with `page` — meta.has_more / meta.review_count tell you how many.

Parameter		Allowed / range	Description
course_id	required	—	Numeric Udemy course id to pull reviews for (from the detail action).
page = 1	optional	1–1000	Page number (results are paginated). Page until meta.has_more is false.
page_size = 10	optional	1–100	Reviews per page (1-100, default 10).

Try in playground →

post/udemy/v1/curriculum1 credit

The course outline by id: chapters and lectures in order, with title, position, lecture asset type and whether the lecture is a free preview. Paginated.

Parameter		Allowed / range	Description
course_id	required	—	Numeric Udemy course id (from the detail action).
page = 1	optional	1–1000	Page number (results are paginated). Page until meta.has_more is false.
page_size = 20	optional	1–100	Items per page (1-100, default 20).

Try in playground →

post/udemy/v1/by_instructor1 credit

Browse every course published by a Udemy instructor, by their numeric instructor id. Returns a paginated list of course cards (id, title, rating, price, level, instructors) — use it to discover courses to feed into detail/pricing/reviews/curriculum. Get the instructor id from any course's instructors[] (detail action).

Parameter		Allowed / range	Description
instructor_id	required	—	Numeric Udemy instructor id (the id in a course's instructors[].id, available from the detail action).
page = 1	optional	1–1000	Page number (results are paginated). Page until meta.has_more is false.
page_size = 20	optional	1–100	Items per page (1-100, default 20).

Try in playground →

post/udemy/v1/categories1 credit

The live Udemy category taxonomy (Development, Business, IT & Software, Design, …) with ids, titles and slugs. Pass a category_id to drill into its subcategories. Use this to map the Udemy catalogue structure.

Parameter		Allowed / range	Description
category_id	optional	—	Optional. A category id (from this action) to list its subcategories instead of the top-level categories.

Try in playground →

Example request · search

curl -X POST https://api.reefapi.com/udemy/v1/search \
  -H "x-api-key: $REEF_KEY" \
  -H "content-type: application/json" \
  -d '{"query":"python"}'

Response shape

{
  "ok": true,
  "data": { /* the result */ },
  "meta": {
    "latency_ms": 240,
    "record_count": 12,
    "completeness_pct": 100
  },
  "error": null
}