DataCamp Scraper

Scrape DataCamp's full content catalog — 750+ courses, 30+ career tracks, and 250+ hands-on projects across Data Science, Python, Machine Learning, SQL, and more. No login required.

What does DataCamp Scraper do?

This actor extracts structured data from DataCamp's public content catalog. Retrieve course details including ratings, enrollment counts, instructors, topics, and technologies. Filter by skill level, topic, and technology to find exactly the content you need.

Input Parameters

Parameter	Type	Description	Default
mode	Enum	Content type: courses, paths, projects	courses
topic	Enum	Topic filter (Machine Learning, Data Visualization, Python Programming, etc.)	All
technology	Enum	Technology filter (Python, R, SQL, Tableau, etc.)	All
skillLevel	Enum	Difficulty: Beginner, Intermediate, Advanced	All
searchQuery	String	Text search in title and description	—
maxItems	Integer	Maximum number of records (1–2000)	50

Modes

• courses — Browse DataCamp's full course catalog with ratings and enrollment data
• paths — Browse career tracks (structured learning paths). Note: DataCamp's tracks listing has no per-track topic/skill-level data, so topic and skillLevel filters are ignored in this mode; only technology and searchQuery apply.
• projects — Browse hands-on data science projects

Output Fields

Course Records (recordType: "course")

Field	Type	Description
title	String	Course title
url	String	Direct URL to the course
description	String	Short course description
topic	Array	Topic areas (e.g., Machine Learning, Data Manipulation)
technology	Array	Technologies used (e.g., Python, SQL, R)
skillLevel	String	Difficulty: Beginner, Intermediate, or Advanced
estimatedHours	Number	Course duration in hours
rating	Number	Average rating (out of 5)
ratingCount	Integer	Number of ratings
enrolledCount	Integer	Number of students started
completionsCount	Integer	Number of students who completed the course
launchDate	String	Date the course was launched (YYYY-MM-DD)
hasPractice	Boolean	Whether the course includes interactive practice exercises
mobileEnabled	Boolean	Whether the course is available in the DataCamp mobile app
instructor	String	Primary instructor name
instructors	Array	All instructor names (if multiple)
isFree	Boolean	Whether the course is free
sourceUrl	String	Source catalog URL
scrapedAt	String	ISO timestamp
recordType	String	Always "course"

Path Records (recordType: "path")

Field	Type	Description
title	String	Career track title (e.g., "Data Analyst in SQL")
url	String	Direct URL to the track
description	String	Track description
technology	Array	Primary technology
estimatedHours	Number	Total time to complete
courseCount	Integer	Number of courses in the track
sourceUrl	String	Source catalog URL
scrapedAt	String	ISO timestamp
recordType	String	Always "path"

Project Records (recordType: "project")

Field	Type	Description
title	String	Project title
url	String	Direct URL to the project
description	String	Project description
topic	Array	Topics covered
technology	Array	Technologies used
skillLevel	String	Difficulty level
estimatedHours	Number	Estimated completion time
rating	Number	Average rating
ratingCount	Integer	Number of ratings
enrolledCount	Integer	Number of learners who started the project
completionsCount	Integer	Number of learners who completed the project
launchDate	String	Date the project was launched (YYYY-MM-DD)
instructor	String	Primary author/instructor name
instructors	Array	All author names (if multiple)
sourceUrl	String	Source catalog URL
scrapedAt	String	ISO timestamp
recordType	String	Always "project"

Example Output

{
  "title": "Introduction to Python",
  "url": "https://www.datacamp.com/courses/intro-to-python-for-data-science",
  "description": "Master the basics of data analysis with Python in just four hours.",
  "topic": ["Programming"],
  "technology": ["Python"],
  "skillLevel": "Beginner",
  "estimatedHours": 4.0,
  "rating": 4.83,
  "ratingCount": 8956,
  "enrolledCount": 127114,
  "instructor": "Hugo Bowne-Anderson",
  "isFree": false,
  "sourceUrl": "https://www.datacamp.com/courses-all",
  "scrapedAt": "2026-06-30T12:00:00+00:00",
  "recordType": "course"
}

Use Cases

• EdTech research — Analyze DataCamp's curriculum, ratings, and instructor data
• Competitive analysis — Compare DataCamp offerings with Coursera, Codecademy, etc.
• Course discovery — Find top-rated Python/ML/SQL courses with enrollment data
• Market analysis — Understand which data science topics are most popular
• Content auditing — Catalog all available courses by technology or topic

Frequently Asked Questions

Does this require a DataCamp account? No. This actor scrapes only publicly available catalog information — no subscription needed.

How many courses are available? DataCamp has 750+ courses, 30+ career tracks, and 250+ projects. Set maxItems high to get the full catalog.

Can I filter by both topic and technology? Yes. Combine topic (e.g., Machine Learning) and technology (e.g., Python) to narrow results.

What technologies are available? Python, R, SQL, Tableau, Power BI, Excel, Scala, Julia, Shell, Git, Snowflake, Databricks, Azure, Google Cloud, and Java.

What topics are available? Applied Finance, Artificial Intelligence, Cloud, Data Engineering, Data Literacy, Data Management, Data Manipulation, Data Preparation, Data Visualization, Data Warehouse, Exploratory Data Analysis, Importing & Cleaning Data, Leadership, Machine Learning, Other, Probability & Statistics, Programming, Python Programming, and Reporting.

How fresh is the data? Data is fetched live from DataCamp's public website on each run. Ratings and enrollment counts reflect the current state.