Coursera Scraper

Pull Coursera's learning catalog at scale — course titles, partner universities, star ratings, rating counts, difficulty levels, completion times, skill tags, languages, and price flags for courses, specializations, professional certificates, guided projects, projects, degrees, MasterTrack® certificates, graduate certificates, university certificates, and postgraduate diplomas. Built for edtech market researchers, L&D teams benchmarking catalogs, and affiliate marketers who need a clean, structured course dataset without clicking through Coursera's search one card at a time.

Why This Scraper?

• Ten product types in one run — Courses, Specializations, Professional Certificates, Guided Projects, Projects, Degrees, MasterTrack® Certificates, Graduate Certificates, University Certificates, and Postgraduate Diplomas, each tagged so you can split them downstream.
• Five server-side filters that reduce your bill — product type, difficulty level, subject area, language, and free-only are applied by Coursera's own search before results are returned, so a narrow filter means fewer billed rows, not post-filtered waste.
• Eleven subject areas, four difficulty levels — slice the catalog by Data Science, Business, Computer Science, Health, and 7 more topics, then narrow to Beginner, Intermediate, Advanced, or Mixed.
• 66 course languages — filter to English, Spanish, French, German, Chinese, Japanese, Arabic, Hindi, Vietnamese, Ukrainian, Swahili, and 55 more to build region-specific catalogs for nearly any market.
• Star ratings with rating counts — every product row carries avgProductRating and numProductRatings, so you can rank by quality and weight by review volume in one pass.
• Skill tags and partner names on every row — the exact skills Coursera lists for each product plus the university or company behind it (Google, Stanford, IBM, DeepLearning.AI, and the rest).
• Coursera Plus, credit-eligibility, and free flags — isPartOfCourseraPlus, isCreditEligible, and isFree booleans let you isolate subscription-included, degree-credit, or zero-cost products instantly.
• Up to 50,000 products per run — set a clean maxResults cap for predictable billing instead of an opaque page count, with smooth pagination and automatic deduplication across overlapping searches.
• Search keywords or paste any Coursera URL — feed plain keywords, a pre-filtered Coursera search link (its filters are inherited automatically), or an individual course URL.

Use Cases

EdTech Market Research

• Map the full catalog of a subject area to size a market or spot gaps
• Track how many Professional Certificates exist per partner over time
• Compare difficulty-level distribution across competing topics
• Benchmark a topic's average rating and rating volume against adjacent fields

Competitive Intelligence

• Monitor a competitor university's or company's course lineup by partner name
• Detect new Specializations and Degrees as they appear in a subject
• Compare Coursera Plus coverage across categories
• Track which skills competitors attach to their flagship courses

Content Curation & Affiliate Marketing

• Build "best free courses in X" lists by combining the free-only filter with a subject
• Rank courses by rating and rating count for round-up articles
• Surface credit-eligible programs for degree-pathway content
• Pull image URLs and canonical links to populate course-directory pages

Learning & Development Benchmarking

• Assemble a shortlist of courses by skill tag for an internal upskilling track
• Filter to Beginner-level products in a target language for global teams
• Compare durations across Guided Projects vs. full Specializations
• Audit which in-demand skills are best covered on the platform

Data Enrichment & Analytics

• Enrich an internal course catalog with current ratings and partner data
• Feed structured course rows into a dashboard or recommendation engine
• Build skill-to-course mappings for a learning-pathway product
• Power alerting on new high-rated courses in a watched subject

Getting Started

Basic Keyword Search

The simplest run — one topic, 100 products:

{
    "searchQueries": ["data science"],
    "maxResults": 100
}

Filtered Search (Type + Level + Free)

Build a catalog of free beginner courses in a subject:

{
    "searchQueries": ["python"],
    "productTypes": ["course"],
    "difficultyLevels": ["beginner"],
    "freeOnly": true,
    "maxResults": 200
}

From Coursera URLs

Paste a pre-filtered search page (its filters are inherited) or an individual product page:

{
    "startUrls": [
        "https://www.coursera.org/search?query=machine%20learning&productDifficultyLevel=Advanced",
        "https://www.coursera.org/learn/machine-learning"
    ],
    "maxResults": 100
}

Full-Featured Example

Keywords plus every filter, scoped to professional certificates in business and data science, taught in English:

{
    "searchQueries": ["project management", "data analytics"],
    "productTypes": ["professional_certificate", "specialization"],
    "difficultyLevels": ["beginner", "intermediate"],
    "subjects": ["business", "data_science"],
    "languages": ["en"],
    "freeOnly": false,
    "maxResults": 1000
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchQueries	string[]	["data science"]	Keywords to search on Coursera, such as "machine learning", "project management", or "python". Each query is searched separately and produces its own set of results.
startUrls	string[]	[]	One or more Coursera URLs. Accepts search result pages (e.g. https://www.coursera.org/search?query=python) and individual course or specialization pages. Filters baked into a search URL are honored as-is.

Filters

These map to Coursera's own search filters, so they reduce results before you are billed. Leave a filter empty to apply no restriction.

Parameter	Type	Default	Description
productTypes	select[]	[] (all)	Only include these kinds of learning products: Course, Specialization, Professional Certificate, Guided Project, Project, Degree, MasterTrack Certificate, Graduate Certificate, University Certificate, Postgraduate Diploma.
difficultyLevels	select[]	[] (all)	Only include products at these difficulty levels: Beginner, Intermediate, Advanced, Mixed.
subjects	select[]	[] (all)	Only include products in these top-level subject areas: Data Science, Business, Computer Science, Information Technology, Health, Math and Logic, Personal Development, Physical Science and Engineering, Social Sciences, Language Learning, Arts and Humanities.
languages	select[]	[] (all)	Only include products taught in any of 66 languages: English, Spanish, Kazakh, French, Arabic, German, Portuguese, Indonesian, Chinese, Japanese, Russian, Korean, Italian, Hindi, Turkish, Ukrainian, Thai, Polish, Dutch, Greek, Swedish, Hungarian, Vietnamese, Pushto, Uzbek, Azerbaijani, Urdu, Bengali, Oriya, Malay, Haitian (Haitian Creole), Romanian, Persian, Khmer, Hebrew, Serbian, Catalan, Javanese, Afrikaans, Tamil, Czech, Croatian, Slovak, Finnish, Mongolian, Telugu, Lithuanian, Bulgarian, Danish, Estonian, Latvian, Nepali, Burmese, Malayalam, Albanian, Georgian, Marathi, Swahili, Amharic, Somali, Tagalog, Kannada, Kinyarwanda, Macedonian, Nyanja, Slovenian.
freeOnly	boolean	false	Only include products that are free to enroll. Leave off to include both free and paid products.

Limits

Parameter	Type	Default	Description
maxResults	integer	100	Hard cap on the total number of products collected across all searches and URLs. Set to 0 for no cap (an upper limit of 50,000 always applies). The collector stops requesting new pages once your number is reached but keeps the full final page.

Output

Each product is one flat row. Empty fields are removed for a clean dataset.

{
    "id": "9T8nL9CqEeWxJBLfPnRpFA",
    "name": "Machine Learning",
    "slug": "machine-learning",
    "url": "https://www.coursera.org/learn/machine-learning",
    "productType": "COURSE",
    "partners": ["Stanford University", "DeepLearning.AI"],
    "avgProductRating": 4.9,
    "numProductRatings": 184250,
    "difficultyLevel": "BEGINNER",
    "duration": "1-3 months",
    "skills": ["Machine Learning", "Logistic Regression", "Python Programming"],
    "languages": ["English"],
    "isFree": false,
    "isCreditEligible": false,
    "isPartOfCourseraPlus": true,
    "imageUrl": "https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/example.png"
}

Core Fields

Field	Type	Description
id	string	Unique Coursera product identifier
name	string	Product title
slug	string	URL slug for the product
url	string	Canonical Coursera product URL
productType	string	COURSE, SPECIALIZATION, PROFESSIONAL_CERTIFICATE, GUIDED_PROJECT, PROJECT, DEGREE, MASTERTRACK, GRADUATE_CERTIFICATE, UNIVERSITY_CERTIFICATE, or POSTGRADUATE_DIPLOMA
partners	string[]	Partner universities or companies behind the product
difficultyLevel	string	BEGINNER, INTERMEDIATE, ADVANCED, or MIXED
duration	string	Estimated completion time (e.g. "1-3 months", "Less than 2 hours")
skills	string[]	Skill tags Coursera associates with the product
languages	string[]	Languages the product is taught in
imageUrl	string	Product cover image URL

Ratings & Enrollment

Field	Type	Description
avgProductRating	number	Average star rating
numProductRatings	number	Number of ratings the average is based on
numEnrollments	number	Enrollment count when Coursera exposes it (often omitted on search cards)

Flags

Field	Type	Description
isFree	boolean	Free to enroll
isCreditEligible	boolean	Eligible for academic credit
isPartOfCourseraPlus	boolean	Included in a Coursera Plus subscription

Tips for Best Results

• Build a free-course catalog in one shot — combine freeOnly: true with a single subjects facet to get a clean, ready-to-publish list of zero-cost products in a topic.
• Inherit a pre-filtered search via startUrls — set up exactly the filters you want on Coursera's website, copy the resulting search URL, and paste it; the actor reproduces the same filtered results without you re-entering every facet.
• Filters cut your bill, not just your noise — because product type, difficulty, subject, language, and free-only are applied by Coursera's search, narrowing them returns fewer rows, so you pay for fewer results.
• Split big pulls across keywords or subjects — Coursera's search returns up to roughly 10,000 results per query; for a fuller catalog, run several focused keywords or subjects rather than one broad term.
• Rank by numProductRatings, not just avgProductRating — a 5.0 average from 12 ratings is weaker than a 4.8 from 80,000; sort by rating count to surface battle-tested courses.
• Combine keywords and URLs in a single run — mix plain search keywords with pasted product URLs; overlapping products are automatically deduplicated so you never pay for the same course twice.
• Start small to validate — keep maxResults at 50–100 for your first run to confirm the fields match your needs, then scale up.

Pricing

$10.00 per 1,000 results — undercuts the leading Coursera extractor while adding type, difficulty, subject, language, and free-only filters at no extra charge.

Results	Estimated Cost
100	$1.00
1,000	$10.00
10,000	$100.00
100,000	$1,000.00

A "result" is any product row in the output dataset. No compute charges — you only pay per result returned.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate market research, catalog analysis, content curation, and learning-and-development planning. Users are responsible for complying with applicable laws and Coursera's Terms of Service. Extract only publicly available catalog information, and do not use the data for spam, harassment, or any illegal purpose.