Udemy Course Catalog & Pricing Data Scraper

Udemy Course Catalog & Pricing Data Scraper turns keywords and phrases such as python or data science into a clean Dataset of unique public Udemy courses. It returns course metadata, ratings, instructors, learning outcomes, curriculum counts, images and public price snapshots, with optional course-page details.

What this Actor does

The Actor searches the public Udemy course catalog from the terms you enter, follows pagination until the requested number of unique courses is reached or the source is exhausted, and writes one normalized Dataset item per course. It deduplicates courses across multiple terms and preserves the generated public search context in sourceSearchUrl and page for traceability.

You can also enable freeOnly to search for courses marked as free by the public catalog. The catalog filters support fixed Udemy-compatible selectors for sortOrder (RELEVANCE, REVIEWS, RATING or TIME), course languages, levels and video lengths, plus minRating, caption languages and optional requirements for closed captions, quizzes, coding exercises, practice tests, workspaces, roleplays, certification preparation or practice-test-only courses. Optional course-page enrichment adds structured fields such as description, publication date, language, offers, syllabus sections and audience information when those fields are available.

Use cases

• Build course catalogs for education, training and competitor research.
• Compare course coverage, ratings, duration, instructors and public prices for several topics.
• Discover learning outcomes, images and curriculum counts for SEO or content planning.
• Monitor public Udemy search terms and export the results for downstream analysis.

How to use

1. Open the Actor in Apify Console.
2. Enter one or more keywords or phrases in What do you want to search for?.
3. Set the maximum number of unique courses, then choose any catalog filters you need. The Udemy catalog filters are dropdowns or multiselects with predefined valid values, so you do not need to type filter codes. You can optionally select Only free courses or enable course-page details.
4. Click Start and open the Dataset when the run finishes.

Input

searchTerms is required and accepts 1–10 unique keywords or phrases, each up to 200 characters. The Actor creates the Udemy search requests internally, so users do not need to construct URLs or query parameters. Terms are whitespace-normalized and duplicate terms are removed case-insensitively.

maxItems defaults to 100 and accepts 1–10,000 unique courses across all terms. freeOnly defaults to false and restricts the public search to courses marked free when enabled. includeCourseDetails defaults to false; enabling it makes an additional public course-page request for each returned course and can increase run time.

sortOrder defaults to RELEVANCE; use the predefined REVIEWS, RATING or TIME options for other supported catalog orderings. In the Apify UI, languages and closedCaptionLanguages are multiselects showing readable language names together with their ISO-639-1 codes, while levels and videoLengths expose the supported Udemy values as multiselects. API and JSON callers must still send the exact codes and enum values shown in the schema. minRating accepts 0–5 in half-point increments, and the feature flags are optional booleans that default to false.

Input fields

Input	Apify control	JSON/API value	Default and limits
searchTerms	Keyword list	Array of keywords or phrases	Required; 1–10 unique terms, maximum 200 characters each.
maxItems	Number	Integer	100; from 1 to 10,000 unique courses.
freeOnly	Checkbox	Boolean	false; only free courses when enabled.
sortOrder	Dropdown	RELEVANCE, REVIEWS, RATING or TIME	RELEVANCE. The UI shows readable labels such as “Highest rating”.
languages	Multiselect	ISO-639-1 codes such as EN or ES	Empty; up to 10 languages. The UI shows labels such as “English (EN)” and “Spanish (ES)”.
levels	Multiselect	ALL_LEVELS, BEGINNER, INTERMEDIATE or EXPERT	Empty; up to 10 values.
minRating	Number	0 to 5	Empty; half-point increments only, for example 4.5.
videoLengths	Multiselect	EXTRA_SHORT, SHORT, MEDIUM, LONG or EXTRA_LONG	Empty; up to 10 values.
closedCaptionLanguages	Multiselect	ISO-639-1 codes such as EN or ES	Empty; up to 10 languages. The UI shows the language name and code.
mustHaveClosedCaptions	Checkbox	Boolean	false.
mustHaveQuizzes	Checkbox	Boolean	false.
mustHaveCodingExercises	Checkbox	Boolean	false.
mustHavePracticeTests	Checkbox	Boolean	false.
mustHaveWorkspaces	Checkbox	Boolean	false.
mustHaveRoleplays	Checkbox	Boolean	false.
practiceTestCoursesOnly	Checkbox	Boolean	false.
certificationPrepOnly	Checkbox	Boolean	false.
includeCourseDetails	Checkbox	Boolean	false; requests optional public course-page details.

The Apify interface prevents invalid values for selector-based filters before the run starts. JSON and API users should use the exact machine values in the third column; labels such as “English (EN)” are only the display text.

Quick start input

{
  "searchTerms": [
    "python"
  ],
  "maxItems": 3,
  "freeOnly": false,
  "includeCourseDetails": false
}

Complete input example (all filters)

The following valid JSON includes every public input property. Empty selector arrays and false flags leave those optional filters disabled; use the predefined values from the table when you want to narrow the catalog.

{
  "searchTerms": [
    "python"
  ],
  "maxItems": 3,
  "freeOnly": false,
  "sortOrder": "RELEVANCE",
  "languages": [],
  "levels": [],
  "minRating": 0,
  "videoLengths": [],
  "closedCaptionLanguages": [],
  "mustHaveClosedCaptions": false,
  "mustHaveQuizzes": false,
  "mustHaveCodingExercises": false,
  "mustHavePracticeTests": false,
  "mustHaveWorkspaces": false,
  "mustHaveRoleplays": false,
  "practiceTestCoursesOnly": false,
  "certificationPrepOnly": false,
  "includeCourseDetails": false
}

Output

The default Dataset contains one item per unique public course. Items include the course ID, title, headline, URL, free-course and practice-test flags, locale, level, rating, review count, duration, lecture and practice-test counts, instructors, learning outcomes, badges, image URLs, update date, public price and capture timestamp. Some catalog values are nullable because Udemy does not publish every field for every course; the price key is retained and can be null when no public price snapshot is available. Optional detail fields are added only when requested and available.

This is the complete Dataset item from a real successful run:

{
  "recordType": "course",
  "sourceSearchUrl": "https://www.udemy.com/courses/search/?src=ukw&q=python",
  "page": 0,
  "courseId": "2776760",
  "title": "100 Days of Code™: The Complete Python Pro Bootcamp",
  "headline": "Master Python by building 100 projects in 100 days. Learn data science, automation, build websites, games and apps!",
  "url": "https://www.udemy.com/course/100-days-of-code",
  "isFree": false,
  "isPracticeTestCourse": false,
  "locale": "en-US",
  "level": "ALL_LEVELS",
  "ratingAverage": 4.671892166137695,
  "ratingCount": 436596,
  "durationSeconds": 204491,
  "lectureCount": 604,
  "practiceTestQuestionsCount": 0,
  "instructors": [
    {
      "id": "31334738",
      "name": "Dr. Angela Yu, Developer and Lead Instructor"
    }
  ],
  "learningOutcomes": [
    "You will master the Python programming language by building 100 unique projects over 100 days.",
    "You will learn automation, game, app and web development, data science and machine learning all using Python.",
    "You will be able to program in Python professionally",
    "You will learn Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.",
    "Create a portfolio of 100 Python projects to apply for developer jobs",
    "Be able to build fully fledged websites and web apps with Python",
    "Be able to use Python for data science and machine learning",
    "Build games like Blackjack, Pong and Snake using Python",
    "Build GUIs and Desktop applications with Python"
  ],
  "badges": [
    {
      "__typename": "BestSellerSubcategoryTopicBadge",
      "name": "Bestseller"
    },
    {
      "__typename": "BestSellerCategoryTopicBadge",
      "name": "Bestseller"
    },
    {
      "__typename": "BestSellerSubcategoryBadge",
      "name": "Bestseller"
    }
  ],
  "images": {
    "height125": "https://img-c.udemycdn.com/course/125_H/2776760_f176_10.jpg",
    "px100x100": "https://img-c.udemycdn.com/course/100x100/2776760_f176_10.jpg",
    "px240x135": "https://img-c.udemycdn.com/course/240x135/2776760_f176_10.jpg",
    "px304x171": "https://img-c.udemycdn.com/course/304x171/2776760_f176_10.jpg",
    "px480x270": "https://img-c.udemycdn.com/course/480x270/2776760_f176_10.jpg",
    "px50x50": "https://img-c.udemycdn.com/course/50x50/2776760_f176_10.jpg"
  },
  "updatedOn": "2026-09-15",
  "price": {
    "amount": 24.99,
    "currency": "GBP",
    "priceString": "£24.99",
    "listAmount": 34.99,
    "discountAmount": 25.0
  },
  "scrapedAt": "2026-09-24T09:00:03.915968+00:00"
}

Use the Dataset export controls in Apify to download JSON, CSV or spreadsheet-compatible files. Run statistics are available separately in the Actor's RUN_STATS key-value record.

Pricing

This Actor uses Apify pay-per-event pricing. One unique public course successfully written to the default Dataset creates one course-result event. The equivalent prices per 1,000 delivered courses are:

Apify tier	Price per course	Equivalent per 1,000
FREE	$0.00100	$1.00
BRONZE	$0.00090	$0.90
SILVER	$0.00080	$0.80
GOLD	$0.00075	$0.75
PLATINUM	$0.00075	$0.75
DIAMOND	$0.00075	$0.75

PLATINUM and DIAMOND intentionally use the same per-result rate as GOLD in this pricing ladder. Failed requests, empty responses, duplicate courses and records that are not written to the Dataset do not create a course-result charge. The active billing contract and any standard Apify usage treatment are shown in the Actor's Pricing tab.

Related Actors

Actor	Best for
Keyword Research & SERP Data	Finding demand, related queries and topic opportunities before comparing Udemy course coverage.

Limits and data quality

The Actor accepts up to 10 search terms and returns up to 10,000 unique courses per run. The maximum is a unique-course limit across all terms, not a page limit. If the public catalog has fewer results than requested, the Dataset contains the available results and RUN_STATS.sourceExhausted indicates that pagination ended before the requested maximum.

Prices and promotional offers are market- and time-sensitive snapshots. Ratings, counts, curriculum values, images and learning outcomes depend on what Udemy returns for each public course at run time. Optional course-page fields can be unavailable; the item remains usable and reports detailStatus: "not_available" when enrichment cannot provide them.

The Actor uses bounded recovery for transient failures and stops with an explicit run error when the public source returns an incomplete catalog or access challenge. It does not claim Completed for a silently truncated primary catalog.

Frequently asked questions

Can I search several topics in one run?

Yes. Add up to 10 keywords or phrases to searchTerms. Results are deduplicated by course ID across all terms, and each item retains the generated public search context.

Can I retrieve only free courses?

Yes. Set freeOnly to true. This applies the public free-course filter internally without requiring you to know Udemy query parameters.

What happens when course-page details are unavailable?

The primary catalog item is retained. With includeCourseDetails enabled, the item receives detailStatus: "not_available" when the optional page cannot provide structured details.

Responsible use

Use this Actor only for lawful research and automation of publicly available course information. You are responsible for respecting Udemy's terms, applicable privacy and data-protection rules, intellectual-property rights and any restrictions that apply to your intended use. Do not use it to access private accounts, enrolled content or protected lesson material.

Support

Open the Actor's Issues tab with the run ID, exact input and a concise description of the expected versus actual result. Do not include credentials or private account data in a support request.

For Python, JavaScript and cURL integration examples, see the public integration repository.