Coursera Scraper

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What you get

Extract Coursera courses, specializations, and professional certificates by keyword. Get structured data on course titles, universities, ratings, difficulty levels, skills, duration, and more.

What does this scraper do?

This actor searches Coursera by keyword and returns detailed course listings. It is useful for:

• EdTech market research — survey what courses exist in any subject area
• Learning path discovery — find all specializations and professional certificates for a skill
• Competitive benchmarking — compare Coursera's catalog to your own content
• Lead generation — identify topics with high enrollment and learner ratings
• Academic research — analyze MOOCs by university, level, and skills taught

Input

Field	Type	Description
queries	array	List of search keywords, e.g. ["machine learning", "python"]
maxResults	integer	Max courses per query (default: 50, max: 500)
proxyConfiguration	object	Optional Apify proxy config (not required for Coursera)

Output fields

Field	Type	Description
title	string	Course title
slug	string	URL slug, e.g. machine-learning-introduction
url	string	Full Coursera URL
partner	string or array	University or organization offering the course
partners	array	Full list of partners (for co-offered courses)
course_type	string	course, specialization, professional-certificate, guided-project
level	string	Beginner, Intermediate, Advanced, or Mixed
rating	number	Average learner rating (0–5), e.g. 4.87
num_ratings	integer	Number of ratings
duration	string	Estimated time, e.g. 1-3 months
skills	array	Skills covered (up to 10), e.g. ["Python", "Machine Learning"]
is_free	boolean	Whether the course is free to audit
is_coursera_plus	boolean	Included in Coursera Plus subscription
image_url	string	Course thumbnail URL
tagline	string	Short marketing description
languages	array	Languages the course is fully translated into
query	string	The query that returned this course

Example output

{
  "title": "Machine Learning",
  "slug": "machine-learning-introduction",
  "url": "https://www.coursera.org/specializations/machine-learning-introduction",
  "partner": ["DeepLearning.AI", "Stanford University"],
  "partners": ["DeepLearning.AI", "Stanford University"],
  "course_type": "specialization",
  "level": "Beginner",
  "rating": 4.89,
  "num_ratings": 38721,
  "duration": "1-3 months",
  "skills": ["Unsupervised Learning", "Supervised Learning", "Machine Learning Methods", "Model Training"],
  "is_free": false,
  "is_coursera_plus": false,
  "image_url": "https://d15cw65ipctsrr.cloudfront.net/...",
  "tagline": "#BreakIntoAI with Machine Learning Specialization\nOffered by DeepLearning.AI, and Stanford University",
  "languages": ["English"],
  "query": "machine learning"
}

Limitations

• num_ratings is the closest available proxy for popularity — Coursera does not expose raw enrollment counts in search results.
• Results reflect Coursera's own relevance ranking; the actor does not re-sort or re-rank courses.
• Courses, specializations, and professional certificates all come back in the same result set — filter on course_type downstream if you need only one kind.
• Large result sets (hundreds of courses per query) take longer to complete since pages are fetched one at a time.

Use cases

Find all machine learning courses

{ "queries": ["machine learning"], "maxResults": 100 }

Compare Python courses across levels

{ "queries": ["python beginner", "python intermediate", "python advanced"], "maxResults": 50 }

Survey digital marketing certificates

{ "queries": ["digital marketing", "social media marketing", "seo"], "maxResults": 60 }

Related Actors

• LinkedIn Learning Courses Scraper - Course Discovery & Details — compare course catalogs across platforms
• Udemy Course Scraper - Search Courses by Keyword — benchmark Coursera's catalog against Udemy

Last verified: 2026-09

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