Coursera Course Scraper Spider

Introduction

The Coursera Course Scraper Spider is an Apify Actor designed to efficiently scrape and retrieve detailed information about Coursera courses based on user-provided keywords. It searches for relevant courses and extracts key data such as course names, URLs, partners, ratings, difficulty levels, durations, and associated skills. This Actor is ideal for educators, researchers, or developers looking to gather structured data from Coursera for analysis or integration into other tools.

Input Parameters

The Actor accepts a JSON input with the following parameters:

Parameter	Type	Required	Description
Keywords	Array of strings	Yes	An array of keywords to search for Coursera courses (e.g., ["machine learning"]). The Actor will scrape courses matching these keywords.

Example input:

{
  "Keywords": [
    "machine learning"
  ]
}

Features

• Keyword-Based Search: Easily find and scrape Coursera courses using one or more keywords, returning a comprehensive list of matching results.
• Detailed Course Data: Extracts rich information including course ID, name, URL, partners, average ratings, difficulty, duration, and skills.
• Structured JSON Output: Delivers results in a clean, easy-to-parse JSON array for seamless integration into databases, apps, or further processing.
• Efficient and Reliable: Handles scraping with minimal setup, ensuring up-to-date data from Coursera without manual browsing.
• Customizable Queries: Supports multiple keywords for broader or more targeted searches.

Possible Use Cases

• Educational Research: Analyze trends in course offerings, such as popular skills in machine learning or average ratings across providers.
• Content Aggregation: Build a custom course recommendation engine or directory by collecting and filtering Coursera data.
• Market Analysis: Track course popularity, difficulty levels, and durations to inform training programs or competitive insights.
• Personal Learning Tools: Integrate scraped data into apps that help users discover and compare courses based on keywords.
• Data Enrichment: Enhance datasets for AI training or reporting by pulling in Coursera course metadata.

Output

The Actor outputs an array of JSON objects, each representing a scraped course. Example output:

[
  {
    "id": "s12n~yug-s5PqRRuoFXoKBuRAGA",
    "name": "Java in Machine Learning",
    "url": "https://www.coursera.org/specializations/java-in-machine-learning",
    "partners": [
      "Board Infinity"
    ],
    "avgProductRating": null,
    "numProductRatings": 0,
    "difficulty": "INTERMEDIATE",
    "duration": "ONE_TO_THREE_MONTHS",
    "skills": [
      "Apache Spark",
      "MLOps (Machine Learning Operations)",
      "Deep Learning",
      "Java Programming",
      "Java",
      "Applied Machine Learning",
      "Jenkins",
      "Spring Framework",
      "Image Analysis",
      "Application Deployment",
      "Big Data",
      "Statistical Analysis",
      "Scalability",
      "Decision Tree Learning",
      "Machine Learning",
      "Spring Boot",
      "Regression Analysis",
      "Reinforcement Learning",
      "Natural Language Processing",
      "Debugging"
    ]
  },
  {
    "id": "course~T7hf5jWeEeuGCBL8_hyTUQ",
    "name": "Supervised Machine Learning: Regression and Classification ",
    "url": "https://www.coursera.org/learn/machine-learning",
    "partners": [
      "DeepLearning.AI",
      "Stanford University"
    ],
    "avgProductRating": 4.897622725135988,
    "numProductRatings": 29782,
    "difficulty": "BEGINNER",
    "duration": "ONE_TO_FOUR_WEEKS",
    "skills": [
      "Supervised Learning",
      "Jupyter",
      "Scikit Learn (Machine Learning Library)",
      "Machine Learning",
      "NumPy",
      "Predictive Modeling",
      "Feature Engineering",
      "Artificial Intelligence",
      "Classification And Regression Tree (CART)",
      "Python Programming",
      "Regression Analysis",
      "Unsupervised Learning",
      "Statistical Modeling"
    ]
  }
]

Support

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