Coursera Scraper 🎓

What does Coursera Course Scraper do?

Coursera Course Scraper collects structured course and program data from Coursera search results. Enter a keyword such as python, machine learning, or data analytics, or provide a Coursera search URL, and receive a dataset with titles, ratings, providers, skills, difficulty, duration, catalog type, language coverage, badges, and search-position metadata.

Use it for education research, course catalogs, edtech analysis, recommendations, credential monitoring, and AI or RAG datasets. Run once or schedule recurring searches to compare results.

Why use Coursera Course Scraper?

• Build education datasets quickly - Collect a controlled number of course and program records without copying results manually.
• Compare learning products - Analyze ratings, review counts, difficulty levels, duration categories, providers, skills, and product types.
• Track search context - Keep the query, result rank, page number, total result count, and source index metadata with each record.
• Automate downstream work - Export JSON, CSV, Excel, or XML, or connect results to webhooks and no-code workflows through Apify.

What data can you extract from Coursera?

The dataset is designed for course comparison and catalog analysis. Important fields include:

Field	Description
name	Course, specialization, certificate, or other product title
url	Direct Coursera URL
avgProductRating	Average product rating when available
numProductRatings	Number of product ratings
productDifficultyLevel	Difficulty level such as beginner, intermediate, or advanced
productDuration	Coursera duration category
productType	Catalog type such as course, specialization, or certificate
skills	Skills associated with the product
partners	Universities, companies, or other providers
tagline	Short product description or marketing subtitle
isCourseFree	Whether the item is listed as free
isPartOfCourseraPlus	Whether the item is included in Coursera Plus
fullyTranslatedLanguages	Languages with full translation when listed
subtitlesOnlyLanguages	Languages available for subtitles only
badges	Product labels such as Free Trial or NEW
searchQuery	Search term used for the run
searchRank	Position in the collected result set
page	Coursera result page number

How to scrape Coursera course data

1. Open Coursera Course Scraper in Apify Console.
2. Enter a query, or paste a Coursera search URL in startUrl.
3. Set results_wanted to the maximum number of records to save.
4. Set max_pages when you want to limit how many result pages are checked.
5. Optionally configure Apify Proxy for repeated or larger runs.
6. Start the run and review the dataset preview.
7. Download the results or connect the dataset to your application, spreadsheet, webhook, or automation workflow.

Input Parameters

Parameter	Type	Required	Default	Description
query	String	No	-	Search term for Coursera products, such as python, machine learning, or data science.
startUrl	String	No	-	Coursera search URL containing a query parameter. Use this instead of entering query separately.
results_wanted	Integer	No	20	Maximum number of course or program records to collect. Minimum value is 1.
max_pages	Integer	No	10	Maximum number of Coursera result pages to process. Minimum value is 1.
proxyConfiguration	Object	No	{"useApifyProxy": false}	Optional Apify Proxy configuration for request routing.

Provide either query or a valid Coursera startUrl with a search query. If both are supplied, the direct query value is used.

Output Data

Each dataset item represents one Coursera search result. Empty values are omitted from individual records.

Field	Type	Description
id	String	Coursera product identifier
name	String	Course or program title
url	String	Absolute Coursera URL
imageUrl	String	Product image URL
avgProductRating	Number	Average product rating
numProductRatings	Integer	Number of product ratings
productDifficultyLevel	String	Difficulty level
productDuration	String	Duration category
productType	String	Catalog product type
skills	Array	Associated skills
partners	Array	Provider or institution names
partnerLogos	Array	Provider logo URLs
tagline	String	Short product description
isCourseFree	Boolean	Whether the product is listed as free
isCreditEligible	Boolean	Whether the product is credit eligible
isNewContent	Boolean	Whether the product is marked as new
isPartOfCourseraPlus	Boolean	Whether the product is included in Coursera Plus
cobrandingEnabled	Boolean	Whether co-branding is enabled
completions	Number or String	Completion information when provided
duration	String	Additional duration value when provided
parentCourseName	String	Parent course for lesson-level results
parentLessonName	String	Parent lesson when provided
translatedName	String	Localized product title when available
translatedSkills	Array	Localized skills when available
translatedParentCourseName	String	Localized parent course name
translatedParentLessonName	String	Localized parent lesson name
fullyTranslatedLanguages	Array	Fully translated languages
subtitlesOnlyLanguages	Array	Subtitle-only languages
videosInLesson	Number	Video count for lesson-level results when provided
productCardId	String	Product card identifier
canonicalType	String	Canonical catalog type
marketingProductType	String	Marketing-facing product type
badges	Array	Product labels and badges
isPathwayContent	Boolean	Whether the item belongs to a learning pathway
courseCardRating	Number	Card-level rating when available
courseCardReviewCount	Integer	Card-level review count when available
searchQuery	String	Search term used for collection
searchRank	Integer	Position in the collected result set
page	Integer	Result page number
totalElements	Integer	Total results reported for the query
totalPages	Integer	Total result pages reported for the query
sourceIndexName	String	Catalog source index label when available
aiSearchSummaryEligible	Boolean	Whether the result is eligible for Coursera summary features

Usage Examples

Basic Course Search

Collect the first 20 Coursera results for a focused keyword:

{
  "query": "python",
  "results_wanted": 20
}

Larger Search Collection

Collect up to 100 results while limiting the run to eight result pages:

{
  "query": "machine learning",
  "results_wanted": 100,
  "max_pages": 8
}

Search URL with Apify Proxy

Start from an existing Coursera search URL and enable Apify Proxy for the run:

{
  "startUrl": "https://www.coursera.org/search?query=data%20analytics",
  "results_wanted": 50,
  "max_pages": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Sample Output

The following example shows one dataset item for a Coursera specialization:

{
  "id": "s12n~F-h1g0w7EeWeOApO_l5R1w",
  "name": "Python for Everybody",
  "url": "https://www.coursera.org/specializations/python",
  "imageUrl": "https://d2j5ihb19pt1hq.cloudfront.net/sdp_page/s12n_logos/python.jpg",
  "avgProductRating": 4.8154,
  "numProductRatings": 280281,
  "productDifficultyLevel": "BEGINNER",
  "productDuration": "THREE_TO_SIX_MONTHS",
  "productType": "SPECIALIZATION",
  "skills": [
    "Python Programming",
    "SQL",
    "Debugging"
  ],
  "partners": [
    "University of Michigan"
  ],
  "tagline": "Learn to Program and Analyze Data with Python",
  "isCourseFree": false,
  "isPartOfCourseraPlus": true,
  "fullyTranslatedLanguages": [
    "English"
  ],
  "subtitlesOnlyLanguages": [
    "Arabic",
    "French",
    "Spanish"
  ],
  "badges": [
    "Free Trial"
  ],
  "searchQuery": "python",
  "searchRank": 1,
  "page": 1,
  "totalElements": 605,
  "totalPages": 31
}

Tips for Best Results

• Use specific phrases such as python for beginners, data analytics, or project management certification for more focused datasets.
• Include a provider, skill, or credential term when you want to narrow a broad subject.
• Start with a small results_wanted value to confirm the result shape before a larger export.
• Use results_wanted and max_pages together to control the size of broad searches.
• Keep searchQuery, searchRank, and page when you need to compare result ordering across runs.
• Review language fields when measuring international availability or planning localized course catalogs.
• Coursera search results can change. Report unexpected output through the Actor's Issues tab with the input and a sample run.

Integrations and Export Formats

Use Apify dataset exports and integrations to move Coursera data into your workflow.

Option	Useful for
JSON	Data pipelines, applications, AI agents, and RAG preparation
CSV	Spreadsheet analysis and bulk review
Excel	Reporting and catalog comparison
XML	Systems that require XML exports
Google Sheets	Sharing course research with a team
Airtable	Building a searchable learning catalog
Webhooks	Sending a notification or triggering a downstream process
Make or Zapier	Connecting dataset results to no-code automations
Apify API	Reading datasets and starting runs programmatically

Frequently Asked Questions

Can I collect courses and certificates from Coursera?

Yes. Results can include courses, specializations, professional certificates, and other catalog products. Use productType, canonicalType, and marketingProductType to distinguish them.

Can I search Coursera with a URL?

Yes. Provide a Coursera search URL in startUrl when it contains a query parameter. The Actor uses that value as the search term.

How many results can I collect?

You can request as many records as needed. Use results_wanted for the output limit and max_pages as a safety cap for broad keywords.

Does the output include language coverage?

Yes. Records can include ratings, reviews, providers, skills, duration, difficulty, product classification, and language coverage. fullyTranslatedLanguages lists full translations and subtitlesOnlyLanguages lists subtitle-only languages.

Can I run the Actor on a schedule?

Yes. Create an Apify schedule to repeat a keyword search hourly, daily, weekly, or at another interval.

Is it legal to scrape Coursera data?

Public data collection requirements vary by jurisdiction and use case. Review Coursera's terms, privacy rules, and other applicable laws before using the data. You are responsible for the output.

Related Actors

• EdX Course Scraper - Collect structured course data from edX.
• Udacity Course Scraper - Build comparable datasets from Udacity courses.
• Skillshare Courses Scraper - Collect course information from Skillshare.

Support

For issues or feature requests, use the Issues tab on the Actor page. Include your input JSON, search term or URL, and a small output example.

Legal Notice

This Actor is intended for lawful collection and analysis of publicly available Coursera search data. Users are responsible for complying with Coursera's terms, applicable privacy requirements, intellectual property rules, and all other laws that apply to their collection and use of the data.