# Vscode Extension Reviews Scraper (`getdataforme/vscode-extension-reviews-scraper`) Actor The Vscode Extension Reviews Scraper efficiently extracts user reviews from Visual Studio Code extensions on the Microsoft Marketplace. It offers robust data capture with customizable limits and supports JSON, CSV, or Excel outputs.... - **URL**: https://apify.com/getdataforme/vscode-extension-reviews-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## README.md ### Vscode Extension Reviews Scraper #### Introduction The **Vscode Extension Reviews Scraper** is an Apify Actor designed to efficiently extract reviews from Visual Studio Code extensions listed on the Microsoft Marketplace. This tool provides valuable insights into user feedback, helping developers and businesses make informed decisions. #### Features - **Efficient Data Extraction**: Quickly scrape reviews using a robust CheerioCrawler template. - **High-Quality Data**: Ensures accurate and reliable data capture for analysis. - **Customizable Limits**: Set the maximum number of items to scrape according to your needs. - **User-Friendly Setup**: Easy configuration with pre-filled start URLs. - **Versatile Output Formats**: Export results in JSON, CSV, or Excel formats. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|---------------------------------------------------------------------------------------------| | `startUrls` | array | Yes | URLs to start with. These are the initial pages from which data will be scraped. | `[{"url": "https://marketplace.visualstudio.com/items?itemName=JetBrains.resharper-code"}]` | | `maxItems` | integer | No | Maximum number of items that can be scraped by this crawler. | `10` | #### Example Usage ##### Input JSON ```json { "startUrls": [ { "url": "https://marketplace.visualstudio.com/items?itemName=JetBrains.resharper-code" } ], "maxItems": 10 } ```` ##### Output JSON ```json [ { "id": 339074, "userId": "361ae396-ba8b-6218-8d0c-6fdcbcbd911e", "userDisplayName": "Hugo Esperanca", "updatedDate": "2026-07-01T20:00:59.923Z", "rating": 2, "text": "Missing run/debug option on the project context menu. I'm surprised that such basic but important functionality is missing!", "productVersion": "2026.1.3", "isDeleted": false, "isIgnored": false, "reCaptchaToken": null } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into user satisfaction and trends. - **Competitive Intelligence**: Understand competitor extension performance through reviews. - **Price Monitoring**: Track pricing changes and customer feedback on extensions. - **Content Aggregation**: Compile reviews for content creation or reporting. - **Academic Research**: Use review data for studies in software engineering or human-computer interaction. - **Business Automation**: Automate the collection of user feedback for business strategies. #### Installation and Usage 1. Search for "Vscode Extension Reviews Scraper" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 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 represents a review with fields such as: - `id`: Unique identifier for the review. - `userId`: Identifier of the user who wrote the review. - `userDisplayName`: Display name of the reviewer. - `updatedDate`: Date and time when the review was last updated. - `rating`: Rating given by the user (e.g., 1 to 5 stars). - `text`: The content of the review. - `productVersion`: Version of the product reviewed. - `isDeleted`, `isIgnored`: Boolean flags indicating if a review is deleted or ignored. - `reCaptchaToken`: Token used for CAPTCHA verification, if applicable. #### Error Handling The Actor handles common errors such as network issues and invalid URLs gracefully. If an error occurs during scraping, it will be logged in the Apify Console for troubleshooting. #### Rate Limiting and Best Practices To avoid being blocked by websites, adhere to polite crawling practices: - Respect `robots.txt` directives. - Implement delays between requests if necessary. - Monitor logs for any rate-limiting warnings or errors. #### Limitations and Considerations - The Actor is designed specifically for Visual Studio Code extensions on the Microsoft Marketplace. - Ensure compliance with data privacy regulations when handling user reviews. - CAPTCHA challenges may require manual intervention. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](https://getdataforme.com/contact/) We're here to help you get the most out of this Actor! *** ## Description The **Vscode Extension Reviews Scraper** is your go-to tool for extracting user reviews from Visual Studio Code extensions on the Microsoft Marketplace. With features like efficient data extraction, customizable limits, and versatile output formats, it's perfect for market research, competitive intelligence, and business automation. Start scraping today to gain valuable insights! # Actor input Schema ## `startUrls` (type: `array`): URLs to start with. ## `maxItems` (type: `integer`): Maximum number of items that can be scraped by this crawler. ## Actor input object example ```json { "startUrls": [ { "url": "https://marketplace.visualstudio.com/items?itemName=JetBrains.resharper-code" } ], "maxItems": 10 } ``` # 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=JetBrains.resharper-code" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/vscode-extension-reviews-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=JetBrains.resharper-code" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/vscode-extension-reviews-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=JetBrains.resharper-code" } ] }' | apify call getdataforme/vscode-extension-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/vscode-extension-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vscode Extension Reviews Scraper", "description": "The Vscode Extension Reviews Scraper efficiently extracts user reviews from Visual Studio Code extensions on the Microsoft Marketplace. It offers robust data capture with customizable limits and supports JSON, CSV, or Excel outputs....", "version": "0.0", "x-build-id": "ya9OeHfGTAD2uNYgI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~vscode-extension-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-vscode-extension-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~vscode-extension-reviews-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-vscode-extension-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~vscode-extension-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-vscode-extension-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" } } } }, "maxItems": { "title": "Max Items", "type": "integer", "description": "Maximum number of items that can be scraped by this crawler.", "default": 10 } } }, "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 } } } } } } } } } } ```