# VS Code Marketplace data for Java, Python and ESLint

**Use case:** 

Looks up three VS Code extensions, Language Support for Java, Python and ESLint, and returns ID, publisher, name, version, display name, description, publisher name, installs, average rating, review count, publish date and license.

## Input

```json
{
  "extension_id": [
    "redhat/java",
    "ms-python/python",
    "dbaeumer/vscode-eslint"
  ]
}
```

## Output

```json
{
  "extension_id": {
    "label": "Extension id",
    "format": "text"
  },
  "namespace": {
    "label": "Namespace",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "version": {
    "label": "Version",
    "format": "text"
  },
  "display_name": {
    "label": "Display name",
    "format": "text"
  },
  "description": {
    "label": "Description",
    "format": "text"
  },
  "published_by": {
    "label": "Published by",
    "format": "text"
  },
  "download_count": {
    "label": "Download count",
    "format": "number"
  },
  "average_rating": {
    "label": "Average rating",
    "format": "number"
  },
  "review_count": {
    "label": "Review count",
    "format": "number"
  },
  "published_at": {
    "label": "Published at",
    "format": "date"
  },
  "license": {
    "label": "License",
    "format": "text"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The VS Code Extension Scraper: Open VSX Registry Metadata Actor is ready to run with the inputs already set for "VS Code Marketplace data for Java, Python and ESLint". [Sign up or log in](https://console.apify.com/create-task-from-example/gScCxJKOO0S7oeVen) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "VS Code Marketplace data for Java, Python and ESLint" task

The VS Code Extension Scraper: Open VSX Registry Metadata Actor will start running based on the input automatically. You can also change all the input fields, like extension_id, to match your specific use case.

### 3. Receive the "VS Code Marketplace data for Java, Python and ESLint" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as extension id, namespace, name, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "VS Code Marketplace data for Java, Python and ESLint" task via API](https://apify.com/v0iddo/vscode-marketplace-extensions.md).

## About this Actor

This example demonstrates how to use [VS Code Extension Scraper: Open VSX Registry Metadata](https://apify.com/v0iddo/vscode-marketplace-extensions.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/v0iddo/vscode-marketplace-extensions.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/v0iddo/vscode-marketplace-extensions.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).