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🎓 Coursera Scraper

🚀 Export Coursera course listings to CSV, Excel, JSON, or XML in seconds. Search by topic, filter by difficulty, and collect ratings, skills, and partner info - no login required.

🕒 Last updated: 2026-05-21 - 📊 12 fields per record - Thousands of courses - Global coverage

The Coursera Scraper pulls live course data directly from Coursera's internal search API. Each record contains the course name, partner institution, difficulty level, star rating, review count, estimated duration, covered skills, and a direct URL. Results are available instantly as CSV, Excel, JSON, or XML.

The dataset covers Coursera's full catalog - individual courses, specializations, and professional certificates - from partners including Google, IBM, Meta, Stanford, MIT, and hundreds of universities worldwide.

Target Audience / Use Cases

📋 What the Coursera Scraper does

• Searches Coursera's catalog by keyword (e.g. "python", "machine learning", "project management")
• Filters results by difficulty (beginner, intermediate, advanced, mixed)
• Filters by language (english, spanish, french, etc.)
• Collects up to 1,000,000 courses per run for paid users
• Returns structured records with ratings, skills, duration, partner name, and more
• Exports to CSV, Excel, JSON, or XML - no coding required

💡 Why it matters: Coursera hosts thousands of courses from top universities and companies. Manually browsing and comparing them is time-consuming. This scraper automates bulk discovery so you can analyze the full catalog programmatically.

🎬 Full Demo

🚧 Coming soon

⚙️ Input

Example - search for data science courses:

{
"searchQuery":"data science",
"maxItems":100,
"difficulty":"beginner"
}

Example - find advanced machine learning in Spanish:

{
"searchQuery":"machine learning",
"maxItems":50,
"difficulty":"advanced",
"language":"spanish"
}

⚠️ Good to Know: Free users are limited to 10 courses per run. Upgrade to a paid plan to collect up to 1,000,000 courses.

📊 Output

Each course record contains:

Sample records (from a real run):

[
{
"imageUrl":"https://s3.amazonaws.com/coursera-course-photos/fc/c1b8dfbac740999b6256aca490de43/Python-Image.jpg",
"id":"course~ejOz7RDUEei99hK0xs-tsg",
"name":"Python for Data Science, AI & Development",
"slug":"python-for-applied-data-science-ai",
"partnerName":"IBM",
"description":null,
"difficulty":"beginner",
"rating":4.62,
"reviewCount":43559,
"duration":"1-3 months",
"skills":["Python Programming","NumPy","Data Analysis"],
"url":"https://www.coursera.org/learn/python-for-applied-data-science-ai",
"scrapedAt":"2026-05-22T00:34:40.954Z"
},
{
"imageUrl":"https://d2j5ihb19pt1hq.cloudfront.net/sdp_page/s12n_logos/python.jpg",
"id":"s12n~F-h1g0w7EeWeOApO_l5R1w",
"name":"Python for Everybody",
"slug":"python",
"partnerName":"University of Michigan",
"description":"Learn to Program and Analyze Data with Python",
"difficulty":"beginner",
"rating":4.82,
"reviewCount":280204,
"duration":"3-6 months",
"skills":["Database Design","Data Processing","Debugging","Web Scraping","Python Programming"],
"url":"https://www.coursera.org/specializations/python",
"scrapedAt":"2026-05-22T00:34:40.954Z"
},
{
"imageUrl":"https://s3.amazonaws.com/coursera-course-photos/a1/fd9a9b0f404af6842d49aad8cf141a/Andrew-WA-Thompson-699-1-.jpg",
"id":"course~8D3R5HiaEeioIg7r4jw_PA",
"name":"Crash Course on Python",
"slug":"python-crash-course",
"partnerName":"Google",
"description":null,
"difficulty":"beginner",
"rating":4.77,
"reviewCount":40429,
"duration":"1-3 months",
"skills":["Python Programming","Computer Programming","Computational Thinking","Data Structures"],
"url":"https://www.coursera.org/learn/python-crash-course",
"scrapedAt":"2026-05-22T00:34:40.954Z"
}
]

✨ Why choose this Actor

📈 How it compares to alternatives

🚀 How to use

1. Create a free Apify account - includes $5 free credit
2. Go to the Coursera Scraper page
3. Click Try for free
4. Enter your search query and optional filters
5. Click Start and wait a few seconds
6. Download results as CSV, Excel, JSON, or XML

💼 Business use cases

EdTech Market Research

Track which topics Coursera is prioritizing, which institutions are adding new courses, and how rating distributions shift over time. Build a competitive intelligence dataset updated weekly.

Skill Gap Analysis

Extract the skills array from hundreds of courses in a domain to identify the most commonly taught competencies. Compare against job postings to find skill gaps in the market.

Learning Path Automation

Programmatically build curated course lists for employee onboarding or upskilling programs. Filter by difficulty to create progressive learning paths (beginner - intermediate - advanced).

Academic Research

Analyze the global landscape of online education - which countries' universities are producing the most courses, which difficulty levels dominate, and how course ratings correlate with partner prestige.

🔌 Automating Coursera Scraper

Integrate with your existing workflows:

• Make (formerly Integromat) - trigger scraper runs on a schedule, pipe results to Google Sheets
• Zapier - connect to Slack, Airtable, or Notion when new courses are found
• Apify Scheduler - run daily/weekly and store results in Apify Dataset
• REST API - call from any language using the Apify API
• Webhooks - get notified when a run completes

🌟 Beyond business use cases

Research

Academic studies on MOOCs, online learning effectiveness, and the evolution of skill demand in the digital economy.

Creative projects

Build a "course discovery" newsletter that sends weekly recommendations based on trending topics and high-rated new arrivals.

Non-profit

Help underserved communities find free or affordable courses by filtering for free-audit eligible content.

Experimentation

Train recommendation models, build NLP pipelines on course descriptions, or cluster courses by skill similarity.

🤖 Ask an AI assistant about this scraper

You can ask an AI assistant: "How do I use the Coursera Scraper to find beginner Python courses with more than 10,000 reviews?" - and get a ready-to-use input JSON in seconds.

❓ Frequently Asked Questions

❓ Does this require a Coursera account? No. The scraper uses Coursera's public search API - no login or account required.

❓ How many courses can I scrape? Free users get 10 courses per run. Paid users can collect up to 1,000,000 courses.

❓ Can I filter by topic/category? Yes - use the searchQuery field with any keyword. Coursera's search engine handles the rest.

❓ Does it scrape individual course pages? No - the scraper uses the search API which returns rich metadata without needing to visit individual course pages.

❓ Why is the description field null for some courses? Coursera's search API returns a tagline for courses. Some courses only have "Offered by X" as their tagline with no marketing description. The field is populated when a description is available.

❓ What does difficulty mean? Coursera classifies courses as beginner, intermediate, advanced, or mixed (suitable for multiple levels).

❓ What format are skills returned in? As a JSON array of strings, e.g. ["Python Programming", "Data Analysis", "NumPy"].

❓ How fresh is the data? Data is fetched live from Coursera's API at run time - always up to date.

❓ Can I run this on a schedule? Yes - use Apify Scheduler to run daily or weekly and accumulate a historical dataset.

❓ What's the difference between a course, specialization, and professional certificate? All are included in results. The id field prefix indicates the type: course~ for individual courses, s12n~ for specializations and professional certificates.

❓ Is the rating field the same as Coursera's displayed rating? Yes - rating is the average product rating shown on the Coursera platform (out of 5.0).

❓ Can I filter by language? Yes - pass a language like "english", "spanish", or "french" in the language field.

🔌 Integrate with any app

• Google Sheets - via Make or Zapier
• Airtable - pipe structured course data
• Notion - build a course knowledge base
• Slack - post weekly course digests
• PostgreSQL / BigQuery - store for long-term analysis
• Power BI / Tableau - visualize skill trends
• REST API - integrate directly with Apify API

🔗 Recommended Actors

💡 Pro Tip: browse the complete ParseForge collection for 80+ ready-to-use scrapers covering job boards, reviews, marketplaces, and more.

Disclaimer: This actor is not affiliated with, endorsed by, or sponsored by Coursera. It accesses only publicly available data via Coursera's public search API, the same data visible to any anonymous visitor. Use in accordance with Coursera's Terms of Service and applicable laws.