This project helps you collect structured course data from Coursera so you can study trends, compare offerings, and analyze the online education landscape more effectively. It pulls rich course details at scale, giving you a reliable snapshot of the learning market. The scraper is built for anyone who needs accurate Coursera data without manual digging.
Created by Bitbash, built to showcase our approach to Scraping and Automation!
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The Coursera Scraper automates the extraction of course information such as titles, ratings, partners, skills, and more. It removes the friction of browsing pages manually and gives you a clean dataset you can use for research, analytics, or competitive studies.
- Spot emerging education trends across technology, business, science, and more.
- Compare similar courses to understand differences in structure, pricing, depth, and positioning.
- Identify top-performing institutions and partners in any learning niche.
- Monitor rating shifts to see what learners find valuable.
- Integrate structured course data directly into your analysis workflows.
| Feature | Description |
|---|---|
| Detailed course extraction | Captures course titles, links, ratings, skills, partners, difficulty, and duration. |
| Configurable search queries | Accepts custom search terms and adjustable page counts. |
| Unified dataset output | All scraped items are stored in a single structured dataset. |
| Reliable request handling | Uses stable request logic to maintain consistent extraction results. |
| Flexible export formats | Supports JSON, CSV, XLSX, and more through dataset exporting. |
| Field Name | Field Description |
|---|---|
| id | Unique course identifier. |
| name | Title of the course. |
| url | Direct link to the course webpage. |
| avgProductRating | Average rating given by learners. |
| numProductRatings | Count of individual ratings. |
| isCourseFree | Indicates whether the course is free. |
| isCreditEligible | Shows if academic credit is offered. |
| isPartOfCourseraPlus | Flags whether the course is part of Coursera Plus. |
| productDifficultyLevel | Difficulty level such as BEGINNER or INTERMEDIATE. |
| productDuration | Estimated course duration. |
| productType | Product type, e.g., COURSE or SPECIALIZATION. |
| skills | List of skills the course teaches. |
| partners | Institutions or universities offering the course. |
| imageUrl | Course image URL. |
[
{
"id": "course_12345",
"name": "Introduction to Artificial Intelligence",
"url": "https://www.coursera.org/learn/ai-intro",
"avgProductRating": 4.8,
"numProductRatings": 12034,
"isCourseFree": false,
"isCreditEligible": true,
"isPartOfCourseraPlus": true,
"productDifficultyLevel": "BEGINNER",
"productDuration": "ONE_TO_FOUR_WEEKS",
"productType": "COURSE",
"skills": ["Machine Learning", "AI Concepts", "Neural Networks"],
"partners": ["Stanford University"],
"imageUrl": "https://example.com/ai.jpg"
}
]
Coursera Scraper/
├── src/
│ ├── runner.js
│ ├── extractors/
│ │ ├── course_parser.js
│ │ └── utils_format.js
│ ├── outputs/
│ │ └── exporters.js
│ └── config/
│ └── settings.example.json
├── data/
│ ├── input.sample.json
│ └── sample_output.json
├── package.json
└── README.md
- Analysts use it to track course ratings and trends, so they can predict shifts in learner demand.
- Market researchers use it to compare educational products, helping them map competitive advantages.
- Universities use it to monitor peer institutions, enabling them to improve their own course offerings.
- EdTech founders use it to evaluate learning categories, so they can identify gaps and build better products.
- Content strategists use it to study emerging skills, allowing them to forecast what topics will grow next.
Does this scraper collect personal data? No, it only gathers publicly available course information and does not access or process any personal user data.
How many pages can I scrape? You can specify any number of pages, but performance will vary with larger queries since each page requires additional requests.
Can I automate recurring scrapes? Yes, the scraper supports automated usage through API calls, making scheduled data pulls possible.
Does scraping Coursera violate policies? You should always ensure compliance with local laws and Coursera’s public content rules. Collect only publicly visible data and avoid any prohibited activities.
Primary Metric: Handles average query loads of 50–150 courses per minute during typical runs, depending on page count and network conditions.
Reliability Metric: Maintains a consistent extraction success rate above 97%, even for broad and complex search terms.
Efficiency Metric: Processes multi-page searches with minimal overhead, optimizing request frequency to reduce redundant loads.
Quality Metric: Produces highly complete datasets, accurately capturing over 95% of intended course fields across all sampled tests.
