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Coursera Courses, Reviews & Catalog Scraper

Scrape Coursera courses, specializations, certificates, degrees, partner pages, FAQs, reviews, links, images, and public catalog pages.

This Coursera scraper is built for marketers, analysts, recruiters, growth teams, and AI workflows that need clean Coursera data fast.

Paste Coursera URLs or keywords, choose a crawl size, set maxItems, and export structured results ready for Sheets, Airtable, BI tools, or LLM pipelines.

Why This Coursera Scraper

• No-code setup: paste Coursera URLs or pick a crawl style
• Rich output: titles, descriptions, ratings, FAQs, reviews, syllabus, images, links, and more
• Broad coverage: courses, specializations, certificates, degrees, partner pages, browse pages, and public catalog pages
• Clean data: structured records that are easy to use in spreadsheets, dashboards, CRMs, or AI workflows
• Safe first run: you can cap the run with maxItems

What You Can Collect

This Actor can collect public Coursera data such as:

• course titles and descriptions
• specialization and certificate pages
• ratings and review counts
• FAQ sections
• syllabus sections
• images and internal links
• partner names and public partner pages
• browse topics and category pages
• hidden structured page data useful for SEO and automation

Great For

• course catalog monitoring
• edtech market research
• competitor intelligence
• partner and category discovery
• SEO content research
• AI knowledge base creation
• lead generation and outreach preparation
• public data enrichment for spreadsheets and BI tools

No-Code Input

You do not need to understand crawl settings.

Just use:

• Coursera URLs (Optional) to paste specific pages
• Discovery Mode to choose whether to use your URLs, the public catalog, or both
• Content Scope to choose how broad the crawl should be
• Run Size to choose how aggressive the crawl should be
• Max Items (Optional) to set a hard cap on how many results to save
• Search Keywords (Optional) to find relevant pages by topic
• Partner Names (Optional) to focus on specific Coursera partners
• Browse Topics (Optional) to focus on topic hubs like data science or business

Input Example: Quick Test

{
"runSize":"quick",
"maxItems":10,
"startUrls":[
{
"url":"https://www.coursera.org/learn/machine-learning"
},
{
"url":"https://www.coursera.org/specializations/machine-learning-introduction"
}
]
}

Input Example: Partner and Keyword Discovery

{
"discoveryMode":"smart",
"contentScope":"courses_and_programs",
"runSize":"standard",
"maxItems":150,
"searchQueries":["data science","generative ai","business analytics"],
"partnerNames":["IBM","Google","Microsoft"],
"browseTopics":["data science","computer science"]
}

Input Example: Public Catalog Scan

{
"discoveryMode":"catalog_only",
"contentScope":"full_public_catalog",
"runSize":"standard",
"maxItems":500
}

Example Output

Each result is saved as a clean JSON record.

{
"title":"Machine Learning | Coursera",
"pageType":"specialization",
"status":200,
"description":"Offered by Stanford University and DeepLearning.AI...",
"canonical":"https://www.coursera.org/specializations/machine-learning-introduction",
"ratingValue":4.892858075807845,
"ratingCount":38281,
"faqCount":25,
"url":"https://www.coursera.org/specializations/machine-learning-introduction",
"seo":{
"title":"Machine Learning | Coursera",
"lang":"en"
},
"headings":{
"h1":["Machine Learning Specialization"]
},
"faqs":[
{
"question":"What is the Machine Learning Specialization about?",
"answer":"..."
}
],
"images":["https://s3.amazonaws.com/coursera_assets/meta_images/generated/..."],
"links":{
"internal":["https://www.coursera.org/learn/machine-learning"]
}
}

What You Get After The Run

• a dataset with one clean record per page
• a summary record with processed pages and page types
• a discovered URLs record
• a failed requests record when needed

Why Marketers, Analysts, and Growth Teams Like It

• discover what Coursera is promoting in a category
• monitor public education offers and trends
• build lists of courses, specializations, and partners
• enrich AI workflows with structured education data
• turn messy public pages into clean, reusable records

It is designed for a serious first run without overwhelming the crawl:

• smart discovery
• full public catalog coverage
• standard run size
• useful keywords, partners, and browse topics
• related-page expansion turned off