# N8n Template Scraper (`scrapio/n8n-template-scraper`) Actor Scrape n8n workflow templates automatically. This actor gathers template metadata, node configurations, integrations, and descriptions. Built for automation engineers, developers, and teams exploring scalable n8n automation ideas. - **URL**: https://apify.com/scrapio/n8n-template-scraper.md - **Developed by:** [Scrapio](https://apify.com/scrapio) (community) - **Categories:** Automation, Lead generation, Integrations - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $14.99/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 If you’re looking for a powerful, flexible, and no-coding data scraper, the n8n Template Scraper is your perfect choice. Designed for automation lovers, marketers, researchers, and developers, this n8n template scraper free solution helps you extract valuable data from websites efficiently and ethically. * * * ### πŸ” What does n8n Template Scraper do? The n8n Template Scraper is a ready-to-use n8n web scraper template that allows users to scrape structured data from websites without writing complex code. Using prebuilt workflows, it automates n8n template scraping tasks such as extracting emails, LinkedIn data, Google Maps listings, news articles, and more. This nocoding data scraper is ideal for users who want to combine n8n web scraping AI workflows with automation tools like CRMs, Google Sheets, or APIs. From n8n scrape website tasks to advanced n8n web scraping login scenarios, this scraper template improves productivity while saving time. ⚑ * * * ### πŸ“Š What n8n Template Scraper can I extract? With the n8n template scraper, you can collect a wide range of structured and unstructured data across industries. #### πŸ—‚οΈ Extractable Data Types | Data Type | Description | Use Case | | --- | --- | --- | | 🌐 Website Content | Titles, headings, paragraphs | SEO & content research | | πŸ“§ Emails | Public email addresses | n8n email scraper template | | πŸ”— LinkedIn Data | Profiles, company info | n8n linkedin scraper template | | πŸ“ Google Maps Listings | Business name, phone, reviews | n8n google maps scraper template | | πŸ“° News Articles | Headlines, summaries | n8n news scraper | | πŸ›’ E-commerce Data | Product names, prices | data scraping from Amazon | | πŸ” Authenticated Pages | Logged-in content | n8n web scraping login | This makes the n8n scraper (or even n8n scrapper πŸ˜‰) extremely versatile for businesses and individuals alike. * * * ### ✨ Key Features of n8n Template Scraper The n8n Template Scraper stands out because of its flexibility, scalability, and no-code nature. #### πŸ”‘ Core Features * βš™οΈ Prebuilt n8n web scraper templates for quick setup * 🧩 Modular workflows – customize without coding * πŸ” Supports login-based scraping * πŸ€– Compatible with n8n web scraping AI enhancements * 🌍 Works with multiple data sources (websites, maps, news, Amazon) * πŸ“₯ Easy export to JSON, CSV, Google Sheets * πŸ†“ Available as n8n template scraper free versions * πŸ“š Community-driven resources like n8n template scraper GitHub These features make it perfect for beginners and professionals looking for n8n template scraper tutorial–style workflows. * * * ### πŸ› οΈ How to use n8n Template Scraper Follow this simple step-by-step guide to start scraping in minutes πŸš€ #### 🧭 Step-by-Step Guide 1. Log in to Apify – Create a free account or sign in 2. Select the Actor – Search for β€œn8n Template Scraper” 3. Enter Input Data – Paste your target website URL(s) 4. Choose Options – Select scraping depth, fields, or login settings 5. Run the Actor – Start the workflow and let n8n scrape automatically 6. Download Results – Export data in JSON or CSV format This n8n template scraper tutorial ensures even non-technical users can perform n8n web scraping free without hassle. * * * ### 🎯 Use Cases of n8n Template Scraper The n8n Template Scraper fits multiple real-world scenarios across industries. #### πŸ’Ό Practical Applications * πŸ“Š SEO & Marketing – SERP analysis, competitor research * 🧲 Lead Generation – Emails & LinkedIn scraping * πŸ—ΊοΈ Local Business Research – Google Maps scraping * πŸ“° Media Monitoring – News & article tracking * πŸ›οΈ E-commerce Intelligence – Price & product monitoring * πŸ€– Automation Workflows – Combine scraping with CRMs & APIs Whether you’re a startup or enterprise, n8n template scraping scales with your needs. * * * ### ⭐ Why choose us? Choosing the right scraper matters. Our n8n Template Scraper delivers unmatched value. #### πŸ’Ž Our Advantages * βœ… No-code & beginner-friendly * πŸ”„ Reusable n8n web scraper templates * πŸ†“ Free & open ecosystem support * 🧠 AI-ready workflows * πŸ” Secure & compliant scraping * 🌍 Trusted by automation professionals You also get access to guides, examples, and n8n template scraper download resources. * * * ### πŸ“ˆ How many results can you scrape with n8n Template Scraper? The n8n Template Scraper is built for scalability and performance. #### πŸš€ Scalability Highlights * πŸ”’ Scrape hundreds to thousands of pages per run * ⚑ Parallel processing for faster results * 🧩 Optimized workflows for large datasets * 🌐 Suitable for n8n scrape website at scale * 🏒 Ideal for enterprise-level automation Whether you’re scraping a few LinkedIn profiles or massive Google Maps scraper n8n template datasets, performance remains stable. Combined with automation triggers, this tool grows with your business needs effortlessly. * * * ### βš–οΈ Is it legal to scrape n8n Template Scraper targets? Web scraping legality depends on how and what you scrape. #### πŸ›‘οΈ Legal & Ethical Notes * βœ”οΈ Scrape publicly available data only * πŸ“œ Respect website Terms of Service * πŸ€– Avoid overloading servers * πŸ” Handle personal data responsibly * 🌍 Follow regional data protection laws (GDPR, etc.) The n8n scraper is a toolβ€”ethical use is the user’s responsibility. * * * ### 🧩 Input Parameters #### πŸ“₯ Example Input JSON ```json { "proxyConfiguration": { "useApifyProxy": false }, "searchKeywords": [ "ai" ], "sortOrder": "totalViews:desc", "fetchImportableWorkflows": true } ```` ### πŸ“€ Output Format #### πŸ“¦ Example Output JSON ```json { "id": 7756, "name": "Nutrition Tracker & Meal Logger with Telegram, Gemini AI and Google Sheets", "totalViews": 4244, "price": 0, "purchaseUrl": null, "user": { "id": 97174, "name": "John Alejandro SIlva", "username": "alejandro-silva", "bio": "Detail-oriented professional with a dual degree in Systems Engineering and Business Administration and international experience in technology and process improvement. I specialize in workflow automation with n8n, API integration, programming, and data analysis. Known for strong analytical skills and clear technical documentation.", "verified": true, "links": "[\"https://www.linkedin.com/in/john-alejandro-silva-rodriguez-48093526b/\"]", "avatar": "https://gravatar.com/avatar/aa8238738621b087e2ccf2dd45995f8ce0d4a279dd32aac466de486d5b823ec7?r=pg&d=retro&size=200" }, "description": "πŸ€–πŸ₯— Telegram Nutrition AI Assistant (Alternative to Cal AI App)\n\n> AI-powered nutrition assistant for Telegram β€” log meals, set goals, and get personalized daily reports with Google Sheets integration.\n\nπŸ“‹ Description\n\nThis n8n template creates a Telegram-based Nutrition AI Assistant πŸ₯‘πŸ”₯ designed as an open-source alternative to the Cal AI mobile app.\nIt allows users to interact with an AI agent via text, voice, or images to track meals, calculate macros, and monitor nutrition goals directly from Telegram.\n\nThe system integrates Google Sheets as the database, handling both user profiles and meal logs, while leveraging Gemini AI for natural conversation, food recognition, and daily progress reports.\n\n✨ Key Features\n\nπŸ’¬ Multi-input support: Text, voice messages (transcribed), and food images (AI analysis).\nπŸ“Š Macro calculation: Automatic estimation of calories, proteins, carbs, and fats.\nπŸ“ User-friendly registration: Simple onboarding without storing personal health data (no weight/height required).\n🎯 Goal tracking: Users can set and update calorie and protein targets.\nπŸ“ˆ Daily reports: Personalized progress messages with visual progress bars.\nπŸ—‚ Google Sheets integration:\n\n Profile table for user targets.\n Meals table for food logs.\nπŸ”„ Advanced n8n nodes: Includes use of Merge, Subworkflow, and Code nodes for data processing and report generation.\n\nπŸ’‘ Acknowledgment\n\nInspired by the Cal AI concept πŸ’‘ β€” this template demonstrates how to reproduce its main functionality with n8n, Telegram, and AI agents as a flexible, open-source automation workflow.\n\n🏷 Tags\n\ntelegram\nai-assistant\nnutrition\nmeal-tracking\ngoogle-sheets\nfood-logging\nvoice-transcription\nimage-analysis\ndaily-reports\nn8n-template\nmerge-node\nsubworkflow-node\ncode-node\ntelegram-trigger\ngoogle-gemini\n\nπŸ’Ό Use Case\n\nUse this template if you want to:\n\nπŸ₯— Log meals using text, images, or voice messages.\nπŸ“Š Track nutrition goals (calories, proteins) with daily progress updates.\nπŸ€– Provide a chat-based nutrition assistant without building a full app.\nπŸ—‚ Store structured nutrition data in Google Sheets for easy access and analysis.\n\nπŸ’¬ Example User Interactions\n\nπŸ“Έ User sends a photo of a meal β†’ AI analyzes the food and logs calories/macros.\n🎀 User sends a voice message β†’ AI transcribes and logs the meal.\n⌨️ User types β€œreport” β†’ AI returns a daily nutrition summary with progress bars.\nπŸ₯… User says β€œupdate my protein goal” β†’ AI updates profile in Google Sheets.\n\nπŸ”‘ Required Credentials\n\nTelegram Bot API (Bot Token)\nGoogle Sheets API credentials\nAI Provider API (Google Gemini or compatible LLM)\n\nβš™οΈ Setup Instructions\n\nπŸ—‚ Create two Google Sheets tables:\n\n Profile: User_ID, Name, Calories_target, Protein_target\n Meals: User_ID, Date, Meal_description, Calories, Proteins, Carbs, Fats\nπŸ”Œ Configure the Telegram Trigger with your bot token.\nπŸ€– Connect your AI provider credentials (Gemini recommended).\nπŸ“‘ Connect Google Sheets with your credentials.\n▢️ Deploy the workflow in n8n.\n🎯 Start interacting with your nutrition assistant via Telegram.\n\nπŸ“Œ Extra Notes\n\n🟩 Green section: Handles Telegram trigger and user check.\nπŸŸ₯ Red section: Registers new users and sets goals.\n🟦 Blue section: Processes text, voice, and images.\n🟨 Yellow section: Generates nutrition reports.\nπŸŸͺ Purple section: Main AI agent controlling tools and logic.\n\nπŸ’‘ Need Assistance?\n\nIf you’d like help customizing or extending this workflow, feel free to reach out: \n\nπŸ“§ Email: johnsilva11031@gmail.com \nπŸ”— LinkedIn: John Alejandro Silva RodrΓ­guez\n", "createdAt": "2025-08-23T04:41:29.296Z", "nodes": [ { "id": 18, "icon": "file:googleSheets.svg", "name": "n8n-nodes-base.googleSheets", "codex": { "data": { "alias": [ "CSV", "Sheet", "Spreadsheet", "GS" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/love-at-first-sight-ricardos-n8n-journey/", "icon": "❀️", "label": "Love at first sight: Ricardo’s n8n journey" }, { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": "https://n8n.io/blog/supercharging-your-conference-registration-process-with-n8n/", "icon": "🎫", "label": "Supercharging your conference registration process with n8n" }, { "url": "https://n8n.io/blog/creating-triggers-for-n8n-workflows-using-polling/", "icon": "⏲", "label": "Creating triggers for n8n workflows using polling" }, { "url": "https://n8n.io/blog/no-code-ecommerce-workflow-automations/", "icon": "store", "label": "6 e-commerce workflows to power up your Shopify s" }, { "url": "https://n8n.io/blog/migrating-community-metrics-to-orbit-using-n8n/", "icon": "πŸ“ˆ", "label": "Migrating Community Metrics to Orbit using n8n" }, { "url": "https://n8n.io/blog/automate-google-apps-for-productivity/", "icon": "πŸ’‘", "label": "15 Google apps you can combine and automate to increase productivity" }, { "url": "https://n8n.io/blog/your-business-doesnt-need-you-to-operate/", "icon": " πŸ–₯️", "label": "Hey founders! Your business doesn't need you to operate" }, { "url": "https://n8n.io/blog/how-honest-burgers-use-automation-to-save-100k-per-year/", "icon": "πŸ”", "label": "How Honest Burgers Use Automation to Save $100k per year" }, { "url": "https://n8n.io/blog/how-a-digital-strategist-uses-n8n-for-online-marketing/", "icon": "πŸ’»", "label": "How a digital strategist uses n8n for online marketing" }, { "url": "https://n8n.io/blog/why-this-product-manager-loves-workflow-automation-with-n8n/", "icon": "🧠", "label": "Why this Product Manager loves workflow automation with n8n" }, { "url": "https://n8n.io/blog/sending-automated-congratulations-with-google-sheets-twilio-and-n8n/", "icon": "πŸ™Œ", "label": "Sending Automated Congratulations with Google Sheets, Twilio, and n8n " }, { "url": "https://n8n.io/blog/how-a-membership-development-manager-automates-his-work-and-investments/", "icon": "πŸ“ˆ", "label": "How a Membership Development Manager automates his work and investments" }, { "url": "https://n8n.io/blog/aws-workflow-automation/", "label": "7 no-code workflow automations for Amazon Web Services" } ], "primaryDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/" } ], "credentialDocumentation": [ { "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/" } ] }, "categories": [ "Data & Storage", "Productivity" ], "nodeVersion": "1.0", "codexVersion": "1.0" } }, "group": "[\"input\",\"output\"]", "defaults": { "name": "Google Sheets" }, "iconData": { "type": "file", "fileBuffer": 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}, "displayName": "Google Sheets", "typeVersion": 5, "nodeCategories": [ { "id": 3, "name": "Data & Storage" }, { "id": 4, "name": "Productivity" } ] }, { "id": 49, "icon": "file:telegram.svg", "name": "n8n-nodes-base.telegram", "codex": { "data": { "alias": [ "human", "form", "wait", "hitl", "approval" ], "resources": { "generic": [ { "url": "https://n8n.io/blog/why-business-process-automation-with-n8n-can-change-your-daily-life/", "icon": "🧬", "label": "Why business process automation with n8n can change your daily life" }, { "url": "https://n8n.io/blog/create-a-toxic-language-detector-for-telegram/", "icon": "🀬", "label": "Create a toxic language detector for Telegram in 4 step" }, { "url": "https://n8n.io/blog/automatically-adding-expense-receipts-to-google-sheets-with-telegram-mindee-twilio-and-n8n/", "icon": "🧾", "label": "Automatically Adding Expense Receipts to Google Sheets with Telegram, Mindee, Twilio, and n8n" }, { "url": 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" }, "displayName": "Google Gemini", "typeVersion": 1, "nodeCategories": [ { "id": 25, "name": "AI" }, { "id": 26, "name": "Langchain" } ] } ], "url": "https://n8n.io/workflows/7756" }, ``` ### ❓ FAQ – n8n Template Scraper #### 1️⃣ Is n8n Template Scraper free? Yes, many templates are available for free. #### 2️⃣ Can I use it for LinkedIn scraping? Absolutely! Use the n8n linkedin scraper template. #### 3️⃣ Does it support Google Maps scraping? Yes, via google maps scraper n8n template workflows. #### 4️⃣ Is coding required? No, it’s a noncoding data scraper. #### 5️⃣ Where can I find templates? Check n8n template scraper GitHub and community resources. #### 6️⃣ Can I scrape Amazon data? Yes, data scraping from Amazon is supported with proper configuration. #### 7️⃣ Is login-based scraping supported? Yes, via n8n web scraping login setups. *** ### ✨ Conclusion The n8n Template Scraper is a powerful, flexible, and future-ready solution for anyone looking to automate n8n template scraping efficiently. Whether you’re scraping websites, LinkedIn, Google Maps, or newsβ€”this tool has you covered πŸš€ # Actor input Schema ## `category` (type: `string`): Category of workflows to be collected (optional) ## `searchQuery` (type: `string`): Search for workflows by keywords in apps, roles, or use cases. Can be used with or without a category filter. ## `sortBy` (type: `string`): How to sort the workflows ## `sortDirection` (type: `string`): Sort in ascending or descending order ## `maxWorkflows` (type: `integer`): Maximum number of workflows to collect (0 = collect all) ## `fetchImportableWorkflows` (type: `boolean`): If enabled, each workflow's importable JSON will be fetched and saved to its own dataset named 'workflow-{id}'. If disabled, only the list of workflows will be saved. ## `proxyConfiguration` (type: `object`): Using a proxy is recommended for faster and more reliable results. By default, starts with no proxy and automatically falls back to datacenter, then residential proxy if requests are blocked. ## Actor input object example ```json { "category": "AI", "searchQuery": "Google", "sortBy": "relevancy", "sortDirection": "desc", "maxWorkflows": 10, "fetchImportableWorkflows": true, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [] } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [] } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapio/n8n-template-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "proxyConfiguration": { "useApifyProxy": False, "apifyProxyGroups": [], } } # Run the Actor and wait for it to finish run = client.actor("scrapio/n8n-template-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [] } }' | apify call scrapio/n8n-template-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapio/n8n-template-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "N8n Template Scraper", "description": "Scrape n8n workflow templates automatically. This actor gathers template metadata, node configurations, integrations, and descriptions. Built for automation engineers, developers, and teams exploring scalable n8n automation ideas.", "version": "0.1", "x-build-id": "xnkDMIQz4wL11x8TO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapio~n8n-template-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapio-n8n-template-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapio~n8n-template-scraper/runs": { "post": { "operationId": "runs-sync-scrapio-n8n-template-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapio~n8n-template-scraper/run-sync": { "post": { "operationId": "run-sync-scrapio-n8n-template-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "category": { "title": "Category", "enum": [ "AI", "SecOps", "Sales", "IT Ops", "Marketing", "Document Ops", "Engineering", "DevOps", "HR", "Other", "Support" ], "type": "string", "description": "Category of workflows to be collected (optional)", "default": "AI" }, "searchQuery": { "title": "Search Query", "type": "string", "description": "Search for workflows by keywords in apps, roles, or use cases. Can be used with or without a category filter.", "default": "Google" }, "sortBy": { "title": "Sort By", "enum": [ "relevancy", "popularity", "most_recent" ], "type": "string", "description": "How to sort the workflows", "default": "relevancy" }, "sortDirection": { "title": "Sort Direction", "enum": [ "asc", "desc" ], "type": "string", "description": "Sort in ascending or descending order", "default": "desc" }, "maxWorkflows": { "title": "Maximum Number of Workflows", "minimum": 0, "type": "integer", "description": "Maximum number of workflows to collect (0 = collect all)", "default": 10 }, "fetchImportableWorkflows": { "title": "Fetch Importable Workflow JSONs", "type": "boolean", "description": "If enabled, each workflow's importable JSON will be fetched and saved to its own dataset named 'workflow-{id}'. If disabled, only the list of workflows will be saved.", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Using a proxy is recommended for faster and more reliable results. By default, starts with no proxy and automatically falls back to datacenter, then residential proxy if requests are blocked." } } }, "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 } } } } } } } } } } ```