# Homebrew Cask Scraper (`klondikeking/homebrew-cask-scraper`) Actor Extract macOS application data from the Homebrew Cask registry. Get app names, versions, download URLs, SHA256 checksums, dependencies, and metadata for thousands of macOS applications. - **URL**: https://apify.com/klondikeking/homebrew-cask-scraper.md - **Developed by:** [Pierrick McD0nald](https://apify.com/klondikeking) (community) - **Categories:** Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 cask extracteds 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 ## Homebrew Cask Scraper - Mac App Metadata, Versions & Downloads Extract comprehensive macOS application data from the Homebrew Cask registry. This Actor retrieves thousands of macOS app listings including application names, versions, download URLs, SHA256 checksums, dependencies, and metadata from the official Homebrew Cask database. Perfect for developers, security researchers, and IT administrators who need to track macOS software inventory at scale. Homebrew Cask is the de facto standard for installing macOS applications via the command line. With over 4,000 casks covering everything from developer tools to productivity apps, the registry contains a wealth of structured data about the macOS software ecosystem. This Actor makes that data accessible in a clean, structured format for analysis, monitoring, and integration into your workflows. ### Use Cases - **Software Inventory Management** - Build a complete catalog of available macOS applications for enterprise deployment planning - **Version Tracking** - Monitor application versions across the ecosystem to identify outdated software - **Security Auditing** - Collect SHA256 checksums and download URLs for supply chain verification - **Market Research** - Analyze the macOS software landscape by categories, dependencies, and popularity indicators - **Dependency Analysis** - Map application dependencies to understand installation requirements and compatibility ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQuery` | String | No | Filter casks by name or description keyword. Leave empty to retrieve all casks. | | `maxItems` | Number | No | Maximum results to extract (default: 1000, max: 10000) | | `includeDetails` | Boolean | No | Include artifacts, caveats, dependencies, and variations (default: true) | | `proxyConfiguration` | Object | No | Proxy configuration for requests | ### Output The Actor outputs a dataset with the following fields: ```json { "token": "google-chrome", "name": "Google Chrome", "desc": "Web browser", "homepage": "https://www.google.com/chrome/", "version": "126.0.6478.127", "url": "https://dl.google.com/chrome/mac/universal/stable/GGRO/googlechrome.dmg", "sha256": "a1b2c3d4e5f6...", "tap": "homebrew/cask", "deprecated": false, "disabled": false, "outdated": false, "artifacts": "[{\"app\":[\"Google Chrome.app\"]}]", "caveats": null, "dependsOn": "{\"macos\":{\"\">=\":{\"10.15\"}}}"", "variations": null } ```` ### Pricing Pay per event: $0.001 per cask extracted. No minimum charges. The Actor makes a single API request to retrieve all cask data, then filters and processes locally for maximum efficiency. ### Limitations - Homebrew Cask data reflects the current state of the registry and may not include all historical versions - Some cask fields may be null if not provided by the upstream maintainer - Download URLs and SHA256 checksums are provided by Homebrew maintainers and should be verified independently for critical security use cases - The API returns all casks in a single response; large extractions are processed entirely in memory ### FAQ **Q: How often is the Homebrew Cask data updated?** A: The data is fetched live from the official Homebrew API on each run, so you always get the latest registry state. **Q: Can I filter by specific application categories?** A: The search query supports keyword matching on names, tokens, and descriptions. For category filtering, retrieve all casks and post-process the results. **Q: Does this include Homebrew Formulae (command-line tools)?** A: No, this Actor focuses on Casks (macOS GUI applications). Use a separate Homebrew Formula scraper for command-line tools. ### Changelog - **v1.0.0** - Initial release with full cask extraction, search filtering, and detailed metadata support # Actor input Schema ## `searchQuery` (type: `string`): Filter casks by name or description keyword. Leave empty to retrieve all casks. ## `maxItems` (type: `integer`): Maximum number of casks to extract. Default: 1000. ## `includeDetails` (type: `boolean`): Include artifacts, caveats, dependencies, and variations. Default: true. ## `proxyConfiguration` (type: `object`): Proxy configuration for requests ## Actor input object example ```json { "maxItems": 100, "includeDetails": true, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): No description ## `stats` (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 = { "searchQuery": "", "maxItems": 100, "includeDetails": true, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("klondikeking/homebrew-cask-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 = { "searchQuery": "", "maxItems": 100, "includeDetails": True, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("klondikeking/homebrew-cask-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 '{ "searchQuery": "", "maxItems": 100, "includeDetails": true, "proxyConfiguration": { "useApifyProxy": true } }' | apify call klondikeking/homebrew-cask-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=klondikeking/homebrew-cask-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Homebrew Cask Scraper", "description": "Extract macOS application data from the Homebrew Cask registry. Get app names, versions, download URLs, SHA256 checksums, dependencies, and metadata for thousands of macOS applications.", "version": "1.0", "x-build-id": "kwEs7e6PPmvaTKEI8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/klondikeking~homebrew-cask-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-klondikeking-homebrew-cask-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/klondikeking~homebrew-cask-scraper/runs": { "post": { "operationId": "runs-sync-klondikeking-homebrew-cask-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/klondikeking~homebrew-cask-scraper/run-sync": { "post": { "operationId": "run-sync-klondikeking-homebrew-cask-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Filter casks by name or description keyword. Leave empty to retrieve all casks." }, "maxItems": { "title": "Maximum Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of casks to extract. Default: 1000.", "default": 1000 }, "includeDetails": { "title": "Include Full Details", "type": "boolean", "description": "Include artifacts, caveats, dependencies, and variations. Default: true.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy configuration for requests" } } }, "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 } } } } } } } } } } ```