# Homebrew Formula Scraper — Dev Tool Vendor Leads (`gocreative.ai/homebrew-formula-vendor-leads`) Actor Discover software companies and developer tool vendors behind Homebrew formulas on macOS. Extract homepage URLs, licenses, versions, and dependencies for CLI tool makers, infrastructure companies, and open-source businesses — ideal for B2B outreach in the developer tools market. - **URL**: https://apify.com/gocreative.ai/homebrew-formula-vendor-leads.md - **Developed by:** [GoCreative AI](https://apify.com/gocreative.ai) (community) - **Categories:** Developer tools, Lead generation - **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 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 Formula Scraper — Dev Tool Vendor Leads **Discover software companies and developer tool vendors behind Homebrew formulas on macOS. Extract homepage URLs, licenses, versions, and dependencies for CLI tool makers, infrastructure companies, and open-source businesses — ideal for B2B outreach in the developer tools market.** No API key, no signup, no subscription — pay only for what you scrape. Clean, structured output ready for CSV, JSON, Excel, or direct API export into your own pipeline. ### What this scraper does Discover software companies and developer tool vendors behind Homebrew formulas on macOS. Extract homepage URLs, licenses, versions, and dependencies for CLI tool makers, infrastructure companies, and open-source businesses — ideal for B2B outreach in the developer tools market. Every run pulls fresh data straight from the source and pushes clean, typed records to the dataset — ready for your CRM, spreadsheet, AI agent, or data pipeline. ### Use cases - **B2B lead generation** — build targeted prospect lists with verified, structured data - **Sales prospecting** — find companies and contacts that match your ICP - **Market research & competitive intelligence** — track an industry or niche in structured form - **AI agents & automation** — feed agents clean external data without scraping infra - **Data enrichment** — append fresh fields to your existing lists ### Input | Field | Description | |---|---| | `keywords` | Only include formulas whose name or description contains one of these keywords (case-insensitive). Leave empty to return all results. | | `includeCasks` | When enabled, also scrape Homebrew Cask entries (downloadable macOS GUI apps) in addition to CLI formulas. | | `companyUrlsOnly` | Filter out formulas whose homepage is a generic code-hosting domain (github.com, gitlab.com, etc.), keeping only dedicated company or produc | | `maxResults` | Maximum number of vendor records to return (hard cap: 2000). | ### Output Every result is a clean structured record. Export the full dataset as **CSV, JSON, or Excel** from the Apify console, or pull it via the Apify API straight into your own tools. ### Why use this actor - **Scrape homebrew formula vendor leads** — fast, structured, reliable. - **Homebrew formula vendor leads data export (csv, json, excel)** — fast, structured, reliable. - **Homebrew formula vendor leads api alternative — no key required** — fast, structured, reliable. - **Automated homebrew formula vendor leads monitoring on a schedule** — fast, structured, reliable. - **Structured homebrew formula vendor leads records for ai agents and pipelines** — fast, structured, reliable. ### How it works This actor pulls data directly from the source, structures it into clean rows, and pushes each result to the dataset. It runs on Apify's infrastructure — reliable, schedulable, and pay-per-result so you only pay for data you actually get. ### Pricing Pay-per-result via the Apify Store. No monthly subscription, no minimums — run it once or schedule it daily; you're only charged for the results returned. ### FAQ **Do I need an API key or account?** No. Just provide your input and run it. **Can I schedule it to run automatically?** Yes — use Apify Schedules to run it hourly, daily, or weekly and get fresh data on autopilot. **What formats can I export?** CSV, JSON, Excel, or via the Apify API. **Can I integrate it into my own app?** Yes — call it via the Apify API and pull results directly into your pipeline. **Is the data accurate and fresh?** Data is pulled live from the source on each run, so it reflects what's available at run time. # Actor input Schema ## `keywords` (type: `array`): Only include formulas whose name or description contains one of these keywords (case-insensitive). Leave empty to return all results. ## `includeCasks` (type: `boolean`): When enabled, also scrape Homebrew Cask entries (downloadable macOS GUI apps) in addition to CLI formulas. ## `companyUrlsOnly` (type: `boolean`): Filter out formulas whose homepage is a generic code-hosting domain (github.com, gitlab.com, etc.), keeping only dedicated company or product websites. ## `maxResults` (type: `integer`): Maximum number of vendor records to return (hard cap: 2000). ## Actor input object example ```json { "keywords": [], "includeCasks": true, "companyUrlsOnly": true, "maxResults": 500 } ```` # 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-formula-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-formula-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-formula-vendor-leads --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gocreative.ai/homebrew-formula-vendor-leads", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Homebrew Formula Scraper — Dev Tool Vendor Leads", "description": "Discover software companies and developer tool vendors behind Homebrew formulas on macOS. Extract homepage URLs, licenses, versions, and dependencies for CLI tool makers, infrastructure companies, and open-source businesses — ideal for B2B outreach in the developer tools market.", "version": "0.1", "x-build-id": "aEJ66NLB1mrAPoYd2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gocreative.ai~homebrew-formula-vendor-leads/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gocreative.ai-homebrew-formula-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gocreative.ai~homebrew-formula-vendor-leads/runs": { "post": { "operationId": "runs-sync-gocreative.ai-homebrew-formula-vendor-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gocreative.ai~homebrew-formula-vendor-leads/run-sync": { "post": { "operationId": "run-sync-gocreative.ai-homebrew-formula-vendor-leads", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "keywords": { "title": "Filter keywords", "type": "array", "description": "Only include formulas whose name or description contains one of these keywords (case-insensitive). Leave empty to return all results.", "items": { "type": "string" }, "default": [] }, "includeCasks": { "title": "Include Casks (GUI apps)", "type": "boolean", "description": "When enabled, also scrape Homebrew Cask entries (downloadable macOS GUI apps) in addition to CLI formulas.", "default": true }, "companyUrlsOnly": { "title": "Company URLs only", "type": "boolean", "description": "Filter out formulas whose homepage is a generic code-hosting domain (github.com, gitlab.com, etc.), keeping only dedicated company or product websites.", "default": true }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 2000, "type": "integer", "description": "Maximum number of vendor records to return (hard cap: 2000).", "default": 500 } } }, "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 } } } } } } } } } } ```