# Alfred Workflows Scraper (`crawlerbros/alfred-workflows-scraper`) Actor Scrape Alfred Gallery (alfred.app) for macOS Alfred app workflows. Search by keyword, browse all workflows, or filter by tag. Returns name, title, description, author, version, tags, install URL, download URL, and more. - **URL**: https://apify.com/crawlerbros/alfred-workflows-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Automation, Developer tools, Integrations - **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 ## Alfred Workflows Scraper Extract data from [Alfred Gallery](https://alfred.app) — the official directory of macOS Alfred app workflows. Alfred is an award-winning productivity app for macOS, and its gallery hosts hundreds of community-built workflows for automation, search, clipboard management, developer tools, and more. ### What does this scraper do? This actor browses Alfred Gallery's public workflow listings, fetches detail pages, and extracts structured metadata for each workflow: title, description, author, version, tags, install URL, download URL, GitHub link, forum link, icon URL, and more. No authentication or API key is required. ### Input | Field | Type | Description | |-------|------|-------------| | `mode` | select | **Required.** `search` (filter by keyword) or `browse` (browse all/by tag) | | `query` | string | Keyword to filter workflows by (mode=search). Matches title, description, tags, author | | `tag` | select | Tag to filter by (mode=browse). E.g. `ai`, `developer`, `productivity`, `git` | | `maxItems` | integer | Max workflow records to emit (1–10000, default 100) | #### Example: Search for GitHub workflows ```json { "mode": "search", "query": "github", "maxItems": 20 } ```` #### Example: Browse all developer workflows ```json { "mode": "browse", "tag": "developer", "maxItems": 50 } ``` #### Example: Browse all workflows ```json { "mode": "browse", "maxItems": 100 } ``` ### Output Each record contains: | Field | Type | Description | |-------|------|-------------| | `workflowId` | string | Unique identifier in `author/slug` format (e.g. `vitor/wordsmith`) | | `name` | string | Workflow slug name | | `authorSlug` | string | Author's Alfred Gallery username | | `author` | string | Author's display name | | `title` | string | Workflow display title | | `description` | string | Short description of what the workflow does | | `version` | string | Current version number | | `tags` | array | List of category tags | | `iconUrl` | string | URL to the workflow's icon image | | `installUrl` | string | Direct Alfred install URL | | `downloadUrl` | string | Direct download URL for the workflow file | | `githubUrl` | string | GitHub repository URL (when available) | | `forumUrl` | string | Alfred Forum discussion URL (when available) | | `websiteUrl` | string | External website URL (when available, non-GitHub) | | `sourceUrl` | string | Alfred Gallery page URL | | `recordType` | string | Always `workflow` | | `scrapedAt` | string | UTC ISO 8601 timestamp of when the record was scraped | #### Sample output ```json { "workflowId": "vitor/wordsmith", "name": "wordsmith", "authorSlug": "vitor", "author": "Vítor Galvão", "title": "Wordsmith", "description": "Local dictionary and thesaurus to lookup synonyms, antonyms, and definitions", "version": "26.1", "tags": ["dictionary", "thesaurus", "universal-actions"], "iconUrl": "https://alfred.app/workflows/vitor/wordsmith/icon.png", "installUrl": "https://alfred.app/workflows/vitor/wordsmith/install/", "downloadUrl": "https://alfred.app/workflows/vitor/wordsmith/download/", "githubUrl": "https://github.com/vitorgalvao/wordsmith-workflow/", "forumUrl": "https://www.alfredforum.com/topic/23150-wordsmith", "sourceUrl": "https://alfred.app/workflows/vitor/wordsmith/", "recordType": "workflow", "scrapedAt": "2026-05-30T12:00:00+00:00" } ``` ### FAQ **Does this require an Alfred account?** No. Alfred Gallery is publicly accessible without login. **What is Alfred?** [Alfred](https://www.alfredapp.com/) is a productivity app for macOS that provides hotkeys, keywords, text expansion, and custom workflow automation. Workflows require the paid Powerpack license. **What tags are available?** Alfred Gallery organises workflows with 100+ tags including: `ai`, `audio`, `automation`, `bookmarks`, `browser`, `clipboard`, `developer`, `dictionary`, `email`, `files`, `git`, `markdown`, `music`, `productivity`, `search`, `system`, `terminal`, `text`, `translation`, `utilities`, `video`, `web`, and many more. **What's the difference between modes?** - `search`: scrapes all workflow listing pages then fetches detail pages for workflows matching your keyword filter. - `browse`: scrapes workflow listing pages (optionally filtered by tag), then fetches detail pages for each. **Why does scraping take time?** Alfred Gallery is HTML-based without a public JSON API. The actor must scrape listing pages to discover workflow IDs, then fetch individual detail pages for full metadata. A 300ms delay between requests is used to be polite to the server. **Are all available workflows included?** The actor paginates through Alfred Gallery listing pages to discover workflows, subject to your `maxItems` limit. New workflows are added regularly to the gallery. ### Data Source All data is scraped from [alfred.app](https://alfred.app) — the official Alfred Gallery maintained by Running with Crayons Ltd. "Alfred" is a registered trademark of Running with Crayons Ltd. # Actor input Schema ## `mode` (type: `string`): What to fetch: search workflows by keyword, or browse all workflows. ## `query` (type: `string`): Keyword to search for in workflow names and descriptions (mode=search). ## `tag` (type: `string`): Filter workflows by tag (mode=browse). Leave blank for all tags. ## `maxItems` (type: `integer`): Maximum number of workflow records to emit (1–10000). ## Actor input object example ```json { "mode": "search", "query": "github", "tag": "", "maxItems": 100 } ``` # Actor output Schema ## `workflows` (type: `string`): Dataset containing all scraped Alfred Gallery workflow records. # 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": "search", "query": "github", "tag": "", "maxItems": 100 }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/alfred-workflows-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": "search", "query": "github", "tag": "", "maxItems": 100, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/alfred-workflows-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": "search", "query": "github", "tag": "", "maxItems": 100 }' | apify call crawlerbros/alfred-workflows-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/alfred-workflows-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Alfred Workflows Scraper", "description": "Scrape Alfred Gallery (alfred.app) for macOS Alfred app workflows. Search by keyword, browse all workflows, or filter by tag. Returns name, title, description, author, version, tags, install URL, download URL, and more.", "version": "1.0", "x-build-id": "zrc8fhpHuV8glwkAn" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~alfred-workflows-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-alfred-workflows-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~alfred-workflows-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-alfred-workflows-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~alfred-workflows-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-alfred-workflows-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "search", "browse" ], "type": "string", "description": "What to fetch: search workflows by keyword, or browse all workflows.", "default": "search" }, "query": { "title": "Search query", "type": "string", "description": "Keyword to search for in workflow names and descriptions (mode=search)." }, "tag": { "title": "Tag filter", "enum": [ "", "ai", "audio", "automation", "bookmarks", "clipboard", "currency", "development", "dictionary", "email", "images", "markdown", "music", "network", "news", "notes", "security", "social-media", "system", "terminal", "text-manipulation", "translation", "utility", "video", "web-browsers", "web-search", "window-management" ], "type": "string", "description": "Filter workflows by tag (mode=browse). Leave blank for all tags.", "default": "" }, "maxItems": { "title": "Max items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of workflow records to emit (1–10000).", "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 } } } } } } } } } } ```