# Homebrew Cask Vendor Leads Scraper (`gocreative.ai/homebrew-cask-vendor-leads`) Actor Extract B2B vendor leads from the Homebrew Cask registry -- 6000+ vetted macOS desktop software companies with names, homepages, descriptions, and version metadata. Filter by keyword, cask token list, auto-update status, and more. - **URL**: https://apify.com/gocreative.ai/homebrew-cask-vendor-leads.md - **Developed by:** [GoCreative AI](https://apify.com/gocreative.ai) (community) - **Categories:** Lead generation, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 leads 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 ## Homebrew Cask Software Vendor Leads ### 📊 Example output (real run) ![Sample output](https://api.apify.com/v2/key-value-stores/1ztQFHwG8acESTazI/records/homebrew-cask-vendor-leads-sample) A real record from a live run — clean structured data, exported as CSV / JSON / Excel or via API. Extract B2B vendor leads from the Homebrew Cask registry -- 6000+ vetted macOS desktop software companies with names, homepages, descriptions, and version metadata. Filter by keyword, cask token list, auto-update status, and more. --- ### What you get (real output fields) Every record includes: - `token` - `name` - `description` - `homepage` - `company_domain` - `version` - `auto_updates` - `tap` - `artifact_types` - `brew_page` #### Example record (real output, one live run) ```json { "token": "0-ad", "name": "0 A.D.", "description": "Real-time strategy game", "homepage": "https://play0ad.com/", "company_domain": "play0ad.com", "version": "0.28.0", "auto_updates": false, "tap": "homebrew/cask", "artifact_types": "app, target, zap", "brew_page": "https://formulae.brew.sh/cask/0-ad" } ```` *** ### Use cases - **Sales & lead generation** — build a targeted, verifiable outreach list from a real public source. - **Market research** — measure coverage, count, and distribution for this category over time. - **CRM / enrichment pipeline** — feed structured rows straight into your CRM, Clay, or a data warehouse. - **Due diligence / verification** — every record traces back to its public source, so any lead can be checked by hand. *** ### How to use it 1. Run the actor (schedule it to catch new/changed records automatically). 2. Export results as **JSON, CSV, or Excel**, or pull via the Apify API/dataset. 3. Push straight into your CRM or outreach tool, or join it with our other lead/enrichment actors. ### Notes on data quality - Data is pulled directly from the public source described above — not aggregated or resold. - Fields the source left blank are returned as empty/null rather than guessed — no fabricated data. # Actor input Schema ## `query` (type: `string`): Filter casks by keyword (matched against token, name, and description). Leave blank to return all. ## `tokens` (type: `array`): List of specific Homebrew cask tokens to look up individually (e.g. zoom, slack, docker). Overrides keyword filter. ## `max_results` (type: `integer`): Maximum number of vendor leads to return (default 500, max 5000). ## `exclude_github` (type: `boolean`): When true, skip casks whose homepage points to github.com or github.io (usually OSS personal projects, not companies). ## `require_auto_updates` (type: `boolean`): When true, only return casks with built-in auto-update support -- a proxy for commercial/actively maintained software. ## Actor input object example ```json { "max_results": 500, "exclude_github": true, "require_auto_updates": false } ``` # Actor output Schema # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("gocreative.ai/homebrew-cask-vendor-leads").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 = {} # Run the Actor and wait for it to finish run = client.actor("gocreative.ai/homebrew-cask-vendor-leads").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 '{}' | apify call gocreative.ai/homebrew-cask-vendor-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gocreative.ai/homebrew-cask-vendor-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Homebrew Cask Vendor Leads Scraper", "description": "Extract B2B vendor leads from the Homebrew Cask registry -- 6000+ vetted macOS desktop software companies with names, homepages, descriptions, and version metadata. Filter by keyword, cask token list, auto-update status, and more.", "version": "0.1", "x-build-id": "z01dvNInyHeF6AZKj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gocreative.ai~homebrew-cask-vendor-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gocreative.ai-homebrew-cask-vendor-leads", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gocreative.ai~homebrew-cask-vendor-leads/runs": { "post": { "operationId": "runs-sync-gocreative.ai-homebrew-cask-vendor-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gocreative.ai~homebrew-cask-vendor-leads/run-sync": { "post": { "operationId": "run-sync-gocreative.ai-homebrew-cask-vendor-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "query": { "title": "Keyword filter", "type": "string", "description": "Filter casks by keyword (matched against token, name, and description). Leave blank to return all." }, "tokens": { "title": "Specific cask tokens", "type": "array", "description": "List of specific Homebrew cask tokens to look up individually (e.g. zoom, slack, docker). Overrides keyword filter.", "items": { "type": "string" } }, "max_results": { "title": "Max results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of vendor leads to return (default 500, max 5000).", "default": 500 }, "exclude_github": { "title": "Exclude GitHub-hosted projects", "type": "boolean", "description": "When true, skip casks whose homepage points to github.com or github.io (usually OSS personal projects, not companies).", "default": true }, "require_auto_updates": { "title": "Require auto-updates", "type": "boolean", "description": "When true, only return casks with built-in auto-update support -- a proxy for commercial/actively maintained software.", "default": false } } }, "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 } } } } } } } } } } ```