# Vscode Extension Profile Scraper (`getdataforme/vscode-extension-profile-scraper`) Actor
The Vscode Extension Profile Scraper extracts detailed data from the Visual Studio Marketplace, including extension names, publishers, and ratings....
- **URL**: https://apify.com/getdataforme/vscode-extension-profile-scraper.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $9.00 / 1,000 results
This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".
## How to integrate an Actor?
If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md).
For usage examples, see the [API](#api) section below.
For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).
# README
## 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
```json
{
"startUrls": [
{
"url": "https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager"
}
]
}
````
#### Example Output JSON
```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:
We're here to help you get the most out of this Actor!
# Actor input Schema
## `startUrls` (type: `array`):
URLs to start with.
## Actor input object example
```json
{
"startUrls": [
{
"url": "https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager"
}
]
}
```
# Actor output Schema
## `results` (type: `string`):
No description
# API
You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.
## JavaScript example
```javascript
import { ApifyClient } from 'apify-client';
// Initialize the ApifyClient with your Apify API token
// Replace the '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"startUrls": [
{
"url": "https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager"
}
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/vscode-extension-profile-scraper").call(input);
// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
console.dir(item);
});
// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs
```
## Python example
```python
from apify_client import ApifyClient
# Initialize the ApifyClient with your Apify API token
# Replace '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "startUrls": [{ "url": "https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager" }] }
# Run the Actor and wait for it to finish
run = client.actor("getdataforme/vscode-extension-profile-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"startUrls": [
{
"url": "https://marketplace.visualstudio.com/items?itemName=donjayamanne.python-environment-manager"
}
]
}' |
apify call getdataforme/vscode-extension-profile-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=getdataforme/vscode-extension-profile-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Vscode Extension Profile Scraper",
"description": "The Vscode Extension Profile Scraper extracts detailed data from the Visual Studio Marketplace, including extension names, publishers, and ratings....",
"version": "0.0",
"x-build-id": "6i5gOdlG2OZd8P4DK"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/getdataforme~vscode-extension-profile-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-getdataforme-vscode-extension-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/getdataforme~vscode-extension-profile-scraper/runs": {
"post": {
"operationId": "runs-sync-getdataforme-vscode-extension-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/getdataforme~vscode-extension-profile-scraper/run-sync": {
"post": {
"operationId": "run-sync-getdataforme-vscode-extension-profile-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"startUrls": {
"title": "Start URLs",
"type": "array",
"description": "URLs to start with.",
"items": {
"type": "object",
"required": [
"url"
],
"properties": {
"url": {
"type": "string",
"title": "URL of a web page",
"format": "uri"
}
}
}
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```