🎓 Coursera Search Scraper This actor allows you to scrape courses from Coursera.org by providing a search URL. It automatically handles pagination and extracts comprehensive course information including titles, ratings, partners, skills, and more. ## Features - URL-based Scraping: Extract courses by providing a complete Coursera search URL - Automatic Pagination: Automatically scrolls and loads more courses until reaching the end or max items limit - Comprehensive Course Data: Extract detailed information about each course including: - Course titles and detail page links - Course images - Partner institutions and organizations - Course status (Free Trial, etc.) - Skills you'll gain - Ratings and review counts - Course metadata (difficulty level, type, duration) - Smart Deduplication: Automatically removes duplicate courses based on detail page URLs ## Input Parameters | Field | Type | Required | Description | |------------|---------|----------|------------------------------------------------| | searchUrl| string | Yes | Complete Coursera search URL to scrape | | maxItems | integer | No | Maximum number of courses to fetch | | proxyConfiguration | object | No | Proxy settings for the actor | ### How to Get Search URL 1. Go to Coursera.org 2. Use the search bar to find courses (e.g., search for "ai", "python", "data science") 3. Copy the complete URL from your browser's address bar 4. Paste it into the searchUrl field Example search URLs: https://www.coursera.org/search?query=ai https://www.coursera.org/search?query=python https://www.coursera.org/search?query=data%20science ## Output The output is a dataset of course objects, each containing: - searchUrl: The original search URL used - title: Course title - detailPageUrl: Direct link to the course detail page - imageUrl: URL of the course image - partner: Partner institution or organization (e.g., "IBM", "Stanford University") - status: Course status tag (e.g., "Free Trial") - skills: Skills you'll gain from the course - rating: Course rating (numeric value) - reviewsCount: Number of reviews (e.g., "22K", "1.5K") - meta: Course metadata including difficulty level, type, and duration (e.g., "Beginner · Course · 1 - 4 Weeks") - scrapedAt: Timestamp of when the course was scraped Example output: json [ { "searchUrl": "https://www.coursera.org/search?query=ai", "title": "Introduction to Artificial Intelligence (AI)", "detailPageUrl": "https://www.coursera.org/learn/introduction-to-ai", "imageUrl": "https://d3njjcbhbojbot.cloudfront.net/api/utilities/v1/imageproxy/https://s3.amazonaws.com/coursera-course-photos/a7/edd3b41ddd45298d7bbcb04b19fba6/200766_Logo-Image_1200x1200pxl-copy-3.png?auto=format%2C%20compress%2C%20enhance&dpr=1&w=320&h=180&q=50&fit=crop", "partner": "IBM", "status": "Free Trial", "skills": "Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation", "rating": 4.7, "reviewsCount": "22K", "meta": "Beginner · Course · 1 - 4 Weeks", "scrapedAt": "2025-11-12T09:30:01.469Z" }, ... ] ## Use Cases - Course catalog building and analysis - Market research for online education - Competitor analysis for educational platforms - Course discovery and recommendation systems - Price and enrollment tracking - Skill gap analysis - Educational content research ## Notes - Results are automatically paginated until reaching the end or max items limit - All timestamps are in ISO 8601 format - The actor handles network delays and timeouts gracefully - Review counts are formatted as strings (e.g., "22K", "1.5K") --- Start scraping courses from Coursera today!