Vscode Extension Profile Scraper

Introduction

The Vscode Extension Profile Scraper is a powerful tool designed to extract detailed information about Visual Studio Code extensions from the Visual Studio Marketplace. This Actor is ideal for developers, researchers, and businesses looking to gather comprehensive data on VSCode extensions for analysis and decision-making.

Features

• Comprehensive Data Extraction: Scrapes detailed information including extension names, publishers, descriptions, install counts, ratings, and more.
• High Data Quality: Ensures accurate and up-to-date information by leveraging robust scraping techniques.
• Efficient Performance: Optimized for speed and reliability, handling multiple URLs simultaneously.
• Customizable Inputs: Easily configure start URLs to target specific extensions.
• Versatile Output Formats: Export data in JSON, CSV, or Excel formats for easy integration into your workflows.
• User-Friendly Interface: Simple setup and execution with clear logging and monitoring.

Input Parameters

Parameter	Type	Required	Description	Example
startUrls	array	Yes	URLs to start with.	["https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager"]

Example Usage

Example Input JSON

{
  "startUrls": [
    {
      "url": "https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager"
    }
  ]
}

Example Output JSON

[
  {
    "title": "Python Environment Manager (deprecated) - Visual Studio Marketplace",
    "extensionName": "Python Environment Manager (deprecated)",
    "publisher": "Don Jayamanne",
    "shortDescription": "View and manage Python environments & packages.",
    "installCount": "13,603,633 installs",
    "ratingText": "Average rating: 3.9 out of 5",
    "ratingCount": "38",
    "price": "Free",
    "overviewText": "Deprecated\nThis extension is no longer being maintained...",
    "features": [
      "Quickly change workspace Python Environments",
      "Viewing Environments specific to a Workspace",
      "Viewing all of your Python environments grouped by their type (Conda, PyEnv, etc)",
      "Creating a terminal with the environment activated.",
      "Create/delete Conda and Virtual Environments."
    ],
    "categories": [
      "Programming Languages",
      "Data Science",
      "Machine Learning"
    ],
    "tags": [
      "conda",
      "packages",
      "pipenv",
      "pyenv",
      "python",
      "venv"
    ],
    "links": {
      "support": "https://github.com/DonJayamanne/vscode-python-manager/issues",
      "source": "https://github.com/DonJayamanne/vscode-python-manager.git"
    },
    "versions": [
      {
        "version": "1.2.7",
        "lastUpdated": "Mon, 06 Jan 2025 05:06:58 GMT"
      }
    ],
    "deprecationNotice": "This extension is no longer being maintained...",
    "uniqueIdentifier": "donjayamanne.python-environment-manager",
    "lastUpdated": "Mon, 06 Jan 2025 05:06:58 GMT",
    "releaseDate": "Mon, 08 Nov 2021 01:15:55 GMT",
    "githubLink": "https://github.com/DonJayamanne/vscode-python-manager.git"
  }
]

Use Cases

• Market Research and Analysis: Gather insights on popular VSCode extensions and trends.
• Competitive Intelligence: Monitor competitor extensions and their performance metrics.
• Price Monitoring: Track pricing changes and promotions on extensions.
• Content Aggregation: Compile comprehensive extension data for content creation.
• Academic Research: Analyze extension usage patterns and developer preferences.
• Business Automation: Automate data collection for business intelligence tools.

Installation and Usage

1. Search for "Vscode Extension Profile Scraper" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

Output Format

The output is a JSON array where each object contains fields such as title, extensionName, publisher, shortDescription, installCount, ratingText, ratingCount, price, overviewText, features, categories, tags, links, versions, and more. This structured format allows for easy data manipulation and analysis.

Support

For custom/simplified outputs or bug reports, please contact:

• Email: support@getdataforme.com
• Subject line: "custom support"
• Contact form: https://getdataforme.com/contact/

We're here to help you get the most out of this Actor!