Coursera Course Scraper

Extract comprehensive course data from Coursera.org with ease. Collect course titles, ratings, difficulty levels, skills, partners, and direct URLs at scale. Perfect for education research, course analysis, and market intelligence in online learning.

Features

• Complete Course Information — Extract course names, ratings, review counts, difficulty levels, duration, and skills covered
• Search-Based Collection — Provide search queries to find relevant courses across Coursera's catalog
• Partner & Institution Data — Get detailed information about course providers and organizations
• Flexible URL Support — Start from custom search URLs or use query parameters
• Scalable Extraction — Collect hundreds of courses efficiently with pagination support

Use Cases

Education Research

Analyze course offerings across different subjects and institutions. Understand market trends, popular topics, and educational content distribution.

Course Recommendation Systems

Build comprehensive databases of online courses for recommendation engines. Include ratings, difficulty levels, and skill coverage for personalized suggestions.

Market Intelligence

Track course offerings from top universities and organizations. Monitor pricing, enrollment trends, and emerging educational topics.

Academic Content Analysis

Study course structures, learning objectives, and skill development paths. Support curriculum development and educational planning.

Competitive Analysis

Compare course offerings between institutions and platforms. Identify gaps, opportunities, and competitive advantages in online education.

Input Parameters

Parameter	Type	Required	Default	Description
query	String	No	"python"	Search term for courses (e.g., 'python', 'machine learning', 'data science')
startUrl	String	No	—	Specific Coursera search URL to start scraping from
results_wanted	Integer	No	20	Maximum number of courses to collect
max_pages	Integer	No	10	Safety cap on search result pages to visit
proxyConfiguration	Object	No	Residential proxy	Proxy settings for reliable scraping

Output Data

Each item in the dataset contains:

Field	Type	Description
name	String	Course title
avgProductRating	Number	Average rating (out of 5)
numProductRatings	Integer	Number of reviews
productDifficultyLevel	String	Difficulty level (BEGINNER, INTERMEDIATE, ADVANCED)
productDuration	String	Course duration category
productType	String	Type (COURSE, SPECIALIZATION, PROFESSIONAL_CERTIFICATE, GUIDED_PROJECT)
skills	Array	Skills covered in the course
url	String	Direct link to course page
imageUrl	String	Course thumbnail image URL
partners	Array	Organizations offering the course
partnerLogos	Array	Partner organization logo URLs
isCourseFree	Boolean	Whether the course is free
isPartOfCourseraPlus	Boolean	Coursera Plus subscription required
isNewContent	Boolean	Newly added content flag
tagline	String	Course tagline or subtitle

Usage Examples

Basic Course Search

Extract courses about data science:

{
    "query": "data science",
    "results_wanted": 50
}

Advanced Filtering

Collect machine learning courses with custom pagination:

{
    "query": "machine learning",
    "results_wanted": 100,
    "max_pages": 15,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": ["RESIDENTIAL"]
    }
}

Custom Start URL

Scrape from a specific search page:

{
    "startUrl": "https://www.coursera.org/search?query=artificial%20intelligence",
    "results_wanted": 75
}

Sample Output

{
    "name": "Python for Data Science, AI & Development",
    "avgProductRating": 4.6,
    "numProductRatings": 43374,
    "productDifficultyLevel": "BEGINNER",
    "productDuration": "ONE_TO_THREE_MONTHS",
    "productType": "COURSE",
    "skills": [
        "Data Import/Export",
        "Programming Principles",
        "Web Scraping",
        "File I/O",
        "Python Programming",
        "Jupyter",
        "Data Structures",
        "Pandas (Python Package)",
        "Data Manipulation",
        "JSON",
        "Computer Programming",
        "Restful API",
        "NumPy",
        "Object Oriented Programming (OOP)",
        "Application Programming Interface (API)",
        "Automation",
        "Data Analysis"
    ],
    "url": "https://www.coursera.org/learn/python-for-applied-data-science-ai",
    "imageUrl": "https://s3.amazonaws.com/coursera-course-photos/fc/c1b8dfbac740999b6256aca490de43/Python-Image.jpg",
    "partners": [
        "IBM"
    ],
    "partnerLogos": [
        "http://coursera-university-assets.s3.amazonaws.com/bb/f5ced2bdd4437aa79f00eb1bf7fbf0/IBM-Logo-Blk---Square.png"
    ],
    "isCourseFree": false,
    "isPartOfCourseraPlus": true,
    "isNewContent": false,
    "tagline": "Offered by IBM"
}

Tips for Best Results

Choose Effective Search Queries

• Use specific keywords like "python programming" instead of just "python"
• Combine topics with skill levels: "advanced machine learning"
• Include institution names: "stanford artificial intelligence"

Optimize Collection Size

• Start with 20-50 courses for testing
• Scale up to hundreds for comprehensive research
• Balance data volume with processing time

Use Residential Proxies

• Enable residential proxies for consistent access
• Avoid free proxies which may get blocked
• Residential IPs provide better success rates

Handle Large Collections

• Set reasonable max_pages limits to prevent timeouts
• Monitor execution time for large collections
• Consider breaking large jobs into smaller batches

Verify Data Quality

• Check sample outputs before full collection
• Validate that all required fields are populated
• Review course URLs for accessibility

Integrations

Connect your course data with:

• Google Sheets — Export for analysis and sharing
• Airtable — Build searchable course databases
• Slack — Get notifications when collections complete
• Webhooks — Send data to custom endpoints
• Make — Create automated course monitoring workflows
• Zapier — Trigger actions based on course data

Export Formats

Download data in multiple formats:

• JSON — For developers and APIs
• CSV — For spreadsheet analysis
• Excel — For business reporting
• XML — For system integrations

Frequently Asked Questions

How many courses can I collect?

You can collect all available courses matching your search criteria. The practical limit depends on your search query specificity and available courses.

Can I scrape multiple subjects?

Yes, use different search queries for each subject area. Run separate actor instances for different topics to organize your data.

What if some courses have missing data?

Some fields may be empty if Coursera doesn't provide that information for specific courses. This is normal and doesn't indicate an error.

Does it work with Coursera Plus content?

Yes, the scraper extracts all publicly available courses, including those requiring Coursera Plus subscriptions.

Can I filter by difficulty or institution?

Use specific search queries or post-process the collected data. The scraper provides all available course metadata for filtering.

How often should I run the scraper?

Course catalogs update regularly. Run weekly or monthly depending on your research needs and how quickly course offerings change.

What about rate limiting?

The scraper includes built-in delays and respects Coursera's servers. Use residential proxies for optimal performance.

Support

For issues or feature requests, contact support through the Apify Console.

Resources

• Apify Documentation
• API Reference
• Scheduling Runs

Legal Notice

This actor is designed for legitimate data collection purposes. Users are responsible for ensuring compliance with Coursera's Terms of Service and applicable laws. Use course data responsibly and respect rate limits. This tool accesses publicly available information for research and analysis purposes only.