# Chocolatey Scraper (`crawlerbros/chocolatey-scraper`) Actor Scrape the Chocolatey Community Repository NuGet v2 API. Search for Windows packages by keyword or fetch specific packages by ID. Extracts version, description, authors, tags, download counts, approval status, license info, and more. - **URL**: https://apify.com/crawlerbros/chocolatey-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Chocolatey Scraper Scrape the [Chocolatey Community Repository](https://community.chocolatey.org/) — the largest repository of Windows software packages — using the NuGet v2 OData API. Extract package metadata including versions, authors, download counts, approval status, tags, license information, and more. ### Features - **Search by keyword** — find packages matching any search term in their name or tags - **Get by ID** — fetch the latest version of specific packages by their exact ID - **Approval status** — see whether packages are officially approved, exempted, or pending - **Rich metadata** — total and version-specific download counts, tags, license URLs, project URLs, published dates, and more - **No authentication required** — uses the public Chocolatey Community NuGet v2 API ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | string | `searchPackages` (default) or `getByName` | | `searchQuery` | string | Keyword to search for packages (e.g. `nodejs`, `python`, `git`, `firefox`) | | `packageIds` | array | Package IDs for getByName mode (e.g. `["nodejs", "python", "git"]`) | | `maxItems` | integer | Maximum packages to return (1–500, default 50) | #### Example Input — Search ```json { "mode": "searchPackages", "searchQuery": "nodejs", "maxItems": 50 } ```` #### Example Input — Get by ID ```json { "mode": "getByName", "packageIds": ["nodejs", "python", "git", "googlechrome", "7zip"], "maxItems": 10 } ``` ### Output Each record represents one Chocolatey package: ```json { "packageId": "nodejs", "version": "24.16.0", "title": "Node JS", "description": "Node.js is a JavaScript runtime built on Chrome's V8 JavaScript engine...", "summary": "Node JS - Evented I/O for v8 JavaScript.", "authors": "Node.js Foundation", "tags": ["nodejs", "node", "javascript", "npm", "admin", "foss", "cross-platform"], "downloadCount": 5000000, "versionDownloadCount": 208, "published": "2026-05-21T18:15:48.493", "projectUrl": "http://nodejs.org/", "iconUrl": "https://cdn.jsdelivr.net/gh/...", "licenseUrl": "https://github.com/nodejs/node/blob/master/LICENSE", "requireLicenseAcceptance": false, "isPrerelease": false, "isApproved": true, "packageStatus": "Approved", "sourceUrl": "https://community.chocolatey.org/packages/nodejs/24.16.0", "recordType": "package", "scrapedAt": "2026-05-30T10:00:00+00:00" } ``` #### Output Fields | Field | Type | Description | |-------|------|-------------| | `packageId` | string | Unique package identifier | | `version` | string | Latest version number | | `title` | string | Display title of the package | | `description` | string | Full package description | | `summary` | string | Short summary of the package | | `authors` | string | Package author(s) | | `tags` | array | Tags for the package | | `downloadCount` | integer | Total all-time download count | | `versionDownloadCount` | integer | Downloads for this specific version | | `published` | string | Date when this version was published | | `lastEdited` | string | Date when the package was last reviewed | | `projectUrl` | string | Project homepage URL | | `iconUrl` | string | Package icon URL | | `licenseUrl` | string | License URL | | `requireLicenseAcceptance` | boolean | Whether license acceptance is required | | `isPrerelease` | boolean | Whether this is a prerelease version | | `isApproved` | boolean | Whether the package is officially approved | | `packageStatus` | string | Approval status (Approved, Exempted, Submitted, etc.) | | `sourceUrl` | string | Direct link to the package page on Chocolatey | | `recordType` | string | Always `"package"` | | `scrapedAt` | string | ISO 8601 timestamp of when the record was scraped | ### FAQ **Does this require authentication?** No. The Chocolatey Community Repository NuGet v2 API is publicly accessible without any API key or login. **How many packages can I scrape?** Up to 500 per run. For larger datasets, run multiple times with different search queries. **What does "Approved" mean?** Chocolatey has a moderation process. Approved packages have been reviewed and verified by the Chocolatey team. Some packages are "Exempted" (well-known trusted publishers bypass the full moderation process). **What are the popular packages available?** Common packages include: `nodejs`, `python`, `git`, `googlechrome`, `firefox`, `7zip`, `vlc`, `notepadplusplus`, `vscode`, `docker-desktop`, and thousands more. **Can I search by tag?** The search uses the package ID and tags. Searching for `nodejs` will find packages with "nodejs" in their ID or tags. **What is the data source?** The Chocolatey Community Repository NuGet v2 OData API at `https://community.chocolatey.org/api/v2/`. # Actor input Schema ## `mode` (type: `string`): Choose whether to search packages by keyword or fetch specific packages by ID. ## `searchQuery` (type: `string`): Keyword to search for packages (used in searchPackages mode). Examples: nodejs, python, git, firefox. ## `packageIds` (type: `array`): List of exact Chocolatey package IDs to fetch (e.g. nodejs, python, git, googlechrome). ## `maxItems` (type: `integer`): Maximum number of packages to scrape. ## Actor input object example ```json { "mode": "searchPackages", "searchQuery": "nodejs", "maxItems": 10 } ``` # Actor output Schema ## `packages` (type: `string`): Dataset containing all scraped Chocolatey packages. # 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 = { "mode": "searchPackages", "searchQuery": "nodejs", "maxItems": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/chocolatey-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 = { "mode": "searchPackages", "searchQuery": "nodejs", "maxItems": 10, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/chocolatey-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 '{ "mode": "searchPackages", "searchQuery": "nodejs", "maxItems": 10 }' | apify call crawlerbros/chocolatey-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/chocolatey-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Chocolatey Scraper", "description": "Scrape the Chocolatey Community Repository NuGet v2 API. Search for Windows packages by keyword or fetch specific packages by ID. Extracts version, description, authors, tags, download counts, approval status, license info, and more.", "version": "1.0", "x-build-id": "0kvrB5OKTTQJo4y93" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~chocolatey-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-chocolatey-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~chocolatey-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-chocolatey-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~chocolatey-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-chocolatey-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "mode" ], "properties": { "mode": { "title": "Mode", "enum": [ "searchPackages", "getByName" ], "type": "string", "description": "Choose whether to search packages by keyword or fetch specific packages by ID.", "default": "searchPackages" }, "searchQuery": { "title": "Search query", "type": "string", "description": "Keyword to search for packages (used in searchPackages mode). Examples: nodejs, python, git, firefox." }, "packageIds": { "title": "Package IDs (getByName mode)", "type": "array", "description": "List of exact Chocolatey package IDs to fetch (e.g. nodejs, python, git, googlechrome).", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of packages to scrape.", "default": 100 } } }, "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 } } } } } } } } } } ```