Workflow Templates

This n8n template showcases a cool feature of n8n Forms where the form itself can be defined dynamically using the form fields schema. It may be debateable how useful this template actually is since both Airtable and Baserow provide form interfaces already but still a great exercise and demonstration if ever the use-case comes around. How it works A form trigger is used to dynamically select a database/table from which to build the n8n form from. the table's schema is imported into the workflow and using the code node, is converted into the n8n form fields schema. This let's us dynamically build the fields in our n8n form when we choose to define the form using the JSON option. Once the n8n form submits, we convert the values back into our table's API schema so that we can create a new row. Note any files/attachments fields are removed as they need to be handled separately. Files are processed separately as they may first need to be stored. Once complete, the reference is saved into the newly created row. Check out the example Airtable here - https://airtable.com/appfP15Xd0aVZR9xV/shrGFgXLyQ4Jg58SU How to use The n8n form is autogenerated which means you only need provide access to the table. Using this approach, this template can be reused for any number of Airtable and/or Baserow tables. Requirements You'll need either an Airtable account or a Baserow account to use this template. Accessible n8n instance to your users Customising this workflow Not using either Airtable or Baserow? Theoretically any datastore which provides a fields schema can be used with this template. If you're feeling creative, split the table into multiple forms for a better user experience.

📽️ What this workflow does This workflow turns a user-submitted form with country or animal names into a cinematic video with animated scenes and immersive ambient audio. Using GPT-4 for prompt generation, Dumpling AI for visual creation,& Replicate for motion animation, ElevenLabs for sound generation, and Creatomate for video stitching, it fully automates video production — from raw idea to rendered file. 🎯 What problem is this solving? Creating engaging multimedia content can take hours. This workflow automates the entire process of ideation, design, and rendering of high-quality cinematic clips, eliminating the need for manual video editing or audio production. 👥 Who is this for? Content creators and educators Digital artists and storytellers Marketers or YouTubers creating short-form visual content No-code/AI automation enthusiasts ⚙️ Setup Instructions ✅ Step 1: Google Sheet Create a Google Sheet with two columns: Title Generated videos Update the Sheet ID and tab name in the final node. ✅ Step 2: Google Drive Create two folders: One for ambient audio tracks One for final generated videos Update the folder IDs in both Google Drive nodes. ✅ Step 3: Credentials Setup Make sure all your API tokens are saved as credentials in n8n. This workflow uses the following integrations: OpenAI (GPT-4) Dumpling AI (via HTTP header) Replicate.com ElevenLabs Google Drive Google Sheets Creatomate ✅ Step 4: Form Fields Ensure your trigger form includes these fields: Title Country 1, Country 2, Country 3, Country 4 Style (e.g., cinematic, epic, fantasy, noir, etc.) 🧩 How it works User Form Submission Kicks off the workflow with the required inputs. Format Inputs Combines all 4 countries/animals into a single array. GPT-4: Generate Visual Prompts Uses GPT-4 to create rich cinematic descriptions per animal/country. Dumpling AI: Create Images Each description becomes a high-quality visual. GPT-4: Create Motion Prompts Each image prompt is rewritten into motion-based video prompts. Replicate: Animate Prompts and images are sent to Replicate’s model for animation. GPT-4: Generate Sound Prompt Based on the style, GPT-4 creates an ambient sound idea. ElevenLabs: Create Ambient Audio Audio is generated and uploaded to Google Drive. Creatomate: Stitch All Media All 4 motion videos and the audio track are stitched into one cinematic output. Upload to Google Drive + Log to Sheet Final video is saved in Drive and logged in Sheets with its title and link. 🛠️ How to Customize 🎨 Modify GPT prompts for different themes (e.g., horror, fantasy, sci-fi). 🧠 Swap animals for characters, objects, or locations. 🎧 Replace ambient sound with ElevenLabs voiceovers or music. 📂 Add metadata logging (generation time, duration, tags). 🧪 Try using alternative video tools like Pika Labs or Runway ML. ✅ Requirements n8n self-hosted or cloud instance Active accounts for: OpenAI, Dumpling AI, Replicate, ElevenLabs, Creatomate Google credentials set up for Drive + Sheets This is a perfect end-to-end automation that showcases the power of AI + automation for video storytelling.

🚀 Automate your social media presence! This workflow duo automatically curates content from your Wallabag RSS feeds, generates platform-specific posts using AI, and publishes them—complete with AI-generated images. ⚙️ Setup & Configuration Required Credentials & Services: To run this workflow, you will need to set up the following credentials in n8n: Wallabag RSS Feeds:** This workflow uses Wallabag as your content curation service. Wallabag is the most cost-effective option—easy to self-host or use as a paid service. You'll need to generate access tokens for RSS feed access. Airtable API Key:** To create and update records in your "Content Store" database. LLM Provider API Key:* To power the social media content generation. The demo uses *Groq (llama-3.3-70b-versatile)**, but this can be replaced with any preferred LLM (OpenAI, Anthropic, etc.). GetLate API Key:** To authenticate and post to your social media platforms. Imgbb API Key:** To host the AI-generated images. An Image Generation Service API Key:* For creating images from prompts. The demo uses *Hugging Face (stable-diffusion-xl-base-1.0)**, but this can be swapped for any other service (Fal.ai, Stability AI, etc.). Key Setup Requirement: Define Your Tagging Convention Before running this workflow, establish a consistent tagging system in Wallabag where each tag corresponds to a specific social media platform. For example: #to-share-linkedin for LinkedIn content #to-share-bluesky for Bluesky content #to-share-instagram for Instagram content Adding More Feeds & Platforms: New Feeds:** Simply duplicate the example sub-workflows and update the RSS feed URL and target platform information for each new tag/platform combination. New Platforms:** To add support for additional social platforms, duplicate one of the existing platform sub-workflows (LinkedIn or Bluesky) and update the platform-specific parameters, prompts, and GetLate API settings for your new platform. Airtable Database Schema: "RSS Feed - Content Store" The workflow uses an Airtable base with the following fields to track content from ingestion to publication: id (Primary Field): Formula, for unique record ID (RECORD_ID()) audience_targeted: Long text author: Long text character_count: Number content_markdown: Long text cta_used: Long text feed_id: Single line text goal_applied: Long text image_filename: Singe line text image_id: Single line text image_link: URL image_prompt: Long text is_posted: Number, default is 0 platform: Single line text post_text: Long text suggested_hashtags: Long text title: Long text tone_applied: Long text article_url: URL Customizable User Inputs: This workflow is built for flexibility. Key inputs you can customize include: Wallabag RSS Feed URL & Platform Tag:** The specific feed and platform-specific tag (e.g., #to-share-linkedin) to monitor in Workflow #1. Target Social Platform:** Defined per feed in the "Edit Field" node. Content Generation Schedule:** The frequency for auto-posting in the Schedule Trigger. Brand Voice & LLM Parameters:** The tone, style, and specific instructions for the AI in the "Set Custom SMCG Prompt" node. Platform-Specific Prompts:** The template used to generate posts for each social network (Instagram, LinkedIn, etc.). Posting Behavior & Image Generation:* Configured within the *SMCG (Social Media Content Generation) node**. This is where you set the posting mode (immediate vs. draft) and define a boolean for each platform to enable or disable AI-generated images for its posts. 📥 Workflow 1: RSS Aggregator & Content Store RSS Trigger** → Pulls tagged articles from Wallabag feeds using platform-specific tags Platform Assignment** → Sets target social platform based on tag Content Conversion** → HTML to Markdown formatting Airtable Storage** → Saves articles to content database 🌟 Adding New RSS Feeds: To monitor additional Wallabag feeds for different content sources, simply duplicate the existing RSS feed sub-workflow and update the RSS URL with your new Wallabag access token and platform-specific tag. Each feed can target a different social platform or content category. 🔄 Workflow 2: AI Content Generator & Publisher Schedule Trigger** → Runs on your preferred frequency Content Selection** → Pulls unpublished articles from Airtable AI Configuration** → Sets brand voice, posting behavior, and image generation preferences Platform Routing** → Directs to appropriate social platform workflow AI Content Generation** → Creates posts and image prompts using LLM Image Generation** → Creates & hosts images when enabled Social Publishing** → Posts to platforms via GetLate API Database Update** → Marks content as published in Airtable 🌟 Adding New Platform Support: To extend this workflow to additional social platforms, simply duplicate one of the existing platform sub-workflows and update the platform-specific parameters, LLM prompts, and GetLate API configuration for your target platform.

Advanced Gmail AI Auto-Responder with Context Intelligence The next-generation email automation that knows your communication style, remembers conversations, and responds with human-like intelligence. 🚀 What Makes This Advanced? Unlike basic AI email responders, this workflow creates contextually intelligent responses by: 📄 Reading your communication profile from Google Drive 🧠 Remembering full conversation history with vector embeddings 🎯 Understanding context from previous emails in the thread 🤖 Using AI agents instead of simple prompt-response patterns 💾 Building memory of your communication style and preferences The Result: Responses that sound authentically like you, with perfect context awareness. ⏱️ Time & Impact Setup Time: 45 minutes Time Saved: 2-3 hours daily Skill Level: Intermediate-Advanced Monthly Cost: $20-30 (OpenAI API + storage) Intelligence Level: Human-like contextual awareness 🛠️ Prerequisites & Setup Required Accounts: n8n Cloud/Self-hosted (AI features required) Gmail Account with API access Google Drive with profile document OpenAI Account (GPT-4o recommended) Required Credentials in n8n: Gmail OAuth2 API Google Drive OAuth2 API OpenAI API (with sufficient credits)

🧠 AI Prompt Generator Workflow – n8n Documentation Who is this for? This workflow is for AI builders, prompt engineers, developers, marketers, and no-code creators who want to convert rough user input into structured, high-quality prompts for LLMs. It’s especially useful for tools that rely on precision prompting and want to automate the discovery of intent and constraints. What problem is this workflow solving? / Use case Many users struggle to write effective prompts due to vague ideas or unclear formatting needs. This workflow: Collects structured user input. Dynamically generates clarifying questions. Returns a well-formatted AI prompt based on the user's intent and context. This ensures the generated prompt is useful for downstream AI agents without requiring technical understanding from the end user. What this workflow does Start with a branded form UI The user is shown a styled form with questions like: What do you want to build? What tools can you access? What input can be expected? What output do you expect? Analyze and generate relevant follow-up questions The workflow sends the user's answers to Google Gemini (via LangChain) which outputs 1–3 clarifying questions. These questions are parsed into a dynamic form. Loop through and collect follow-up answers Each follow-up question is shown in a form one at a time to capture additional context. Merge all inputs The base intent and follow-up responses are merged into a single context block. Generate a final AI-ready prompt The prompt generator node formats everything into a clean, six-section structure: <constraints> <role> <inputs> <tools> <instructions> <conclusions> Display the final result The finished prompt is shown in a clean UI where users can easily copy and reuse it. Setup Credentials Required Google Gemini (PaLM) API credentials (already integrated as Google Gemini(PaLM) Api account 2). Form Trigger Ensure the On form submission trigger is exposed via a webhook or public endpoint (e.g. using ngrok or deployed server). Styling Custom CSS is included in all form nodes for a beautiful UI. You can modify this to match your branding. Environment This workflow is compatible with self-hosted n8n or n8n.cloud. Webhooks must be accessible to users who will fill out the form. How to customize this workflow to your needs Change the base questions** Update the BaseQuestions form node to add or remove fields depending on your use case. Modify Gemini prompts** You can edit the system prompt inside PromptGenerator to change tone, output structure, or AI instructions. Change prompt formatting** If you use a different AI agent (like GPT, Claude, or Mistral), adjust the section labels and formatting to suit that agent’s expected input. Send results elsewhere** Add integration nodes after PromptGenerator, such as: Google Docs / Notion (to log prompts) Gmail / Slack (to notify your team) Zapier / Make (to push to other automation flows) Skip follow-up questions (optional)** If your base form collects all needed info, you can bypass the RelevantQuestions form section by modifying conditional logic. Example Output Prompt (Structure) <role> You are an AI assistant that converts videos into LinkedIn posts with a witty tone. </role> <inputs> - A short video (max 5 minutes) - Desired tone: witty - Style: both summary and quotes - Audience: general network </inputs> <tools> You do not have access to APIs or web search. </tools> <instructions> 1. Parse transcript. 2. Extract insights and quotes. 3. Write an engaging, witty LinkedIn post under 3000 characters. </instructions> <constraints> Avoid technical jargon. No generic intros. Make it platform-native. </constraints> <conclusions> Return a LinkedIn-ready post that starts with a hook and ends with hashtags.

Create engaging, structured threads on Bluesky with precise control over post timing and visibility. This workflow helps content creators and social media managers schedule and publish threaded posts that maintain proper connections and formatting, ensuring your content appears exactly as intended. How it works Creates an initial visible post that starts your thread Adds a series of hidden reply posts that form the body of your thread Maintains proper parent-child relationships between posts to ensure correct threading Enforces timing delays between posts to prevent rate limiting Concludes with two visible posts at the end of your thread The result is a clean, professional-looking thread where only the first and last two posts are immediately visible to your followers, encouraging engagement while maintaining a clean profile view. Set up steps (10-30 minutes) Create a Bluesky account Enter your Bluesky handle and app password in the "Set Bluesky Credentials" node Customize the post text in the Code nodes to match your content: Initial visible post Hidden reply posts Final visible posts Adjust the scheduling in the "Run Daily at 9 AM" node to match your preferred posting time Suggested enhancements Add error handling with retry logic for API failures Add input validation for post length and credential format Include error notifications via email or Slack Add data persistence to track successful posts and resume failed threads Make timing delays configurable with exponential backoff Add monitoring for rate limits and API quotas For Social Media Managers who want: Control over post visibility and timing Automated posting of long-form content Professional-looking content presentation

Use Case Extend Bitrix24 tasks with custom widgets that display relevant task information and enable seamless interaction through a custom tab interface. What This Workflow Does Processes incoming webhook requests from Bitrix24 task interfaces Handles authentication and secure token validation Manages application installation and placement registration Displays task data in a custom formatted view Stores and retrieves configuration settings persistently Provides user-friendly HTML interfaces for task information Setup Instructions Configure Bitrix24 webhook endpoints for the task widget Set up authentication credentials in your Bitrix24 account Install the application and register the task view tab placement Customize the task data display format as needed Deploy and test the application functionality within Bitrix24 tasks

🚀 AI Resume Screener (n8n Workflow Template) An AI-powered resume screening system that automatically evaluates applicants from a simple web form and gives you clear, job-specific scoring — no manual filtering needed. ⚡ What the workflow does 📄 Accepts CV uploads via a web form (PDF) 🧠 Extracts key info using AI (education, skills, job history, city, birthdate, phone) 🎯 Dynamically matches the candidate to job role criteria stored in Google Sheets 📝 Generates an HR-style evaluation and a numeric score (1–10) 📥 Saves the result in a Google Sheet and uploads the original CV to Google Drive 💡 Why you’ll love it FeatureBenefitAI scoringInstantly ranks candidate fit without reading every CVGoogle Sheet-drivenEasily update job profiles — no code changesFast setupConnect your accounts and you're live in ~15 minsScalableWorks for any department, team, or organizationDeveloper-friendlyExtend with Slack alerts, translations, or automations 🧰 Requirements 🔑 OpenAI or Google Gemini API Key 📄 Google Sheet with 2 columns: Role, Profile Wanted ☁️ Google Drive account 🌐 n8n account (self-hosted or cloud) 🛠 Setup in 5 Steps Import the workflow into n8n Connect Google Sheets, Drive, and OpenAI or Gemini Add your job roles and descriptions in Google Sheets Publish the form and test with a sample CV Watch candidate profiles and scores populate automatically 🤝 Want help setting it up? Includes free setup guidance by the creator — available by email or WhatsApp after purchase. I’m happy to assist you in customizing or deploying this workflow for your team. 📧 Email: tharwat.elsayed2000@gmail.com 💬 WhatsApp: +20106 180 3236

An intelligent food menu update notification system that automatically detects changes in your restaurant's special menu and sends personalized notifications to customers via multiple channels - WhatsApp, Email, and SMS. This workflow ensures your customers are always informed about new dishes, price changes, and menu availability in real-time. What's the Goal? Automatically monitor special menu updates from Google Sheets Detect menu changes and generate alert messages using AI Send multi-channel notifications (WhatsApp, Email, SMS) based on customer preferences Maintain comprehensive notification logs for tracking and analytics Provide seamless customer communication for menu updates Enable restaurant owners to keep customers engaged with latest offerings By the end, you'll have a fully automated menu notification system that keeps your customers informed and engaged with your latest culinary offerings. Why Does It Matter? Manual menu update communication is time-consuming and often missed by customers. Here's why this workflow is essential for restaurants: Real-Time Updates**: Customers receive instant notifications about menu changes Multi-Channel Reach**: WhatsApp, Email, and SMS ensure maximum customer reach Personalized Experience**: Customers receive notifications via their preferred channels Increased Sales**: Immediate awareness of new items drives orders Customer Retention**: Regular updates keep customers engaged and coming back Operational Efficiency**: Eliminates manual notification tasks for staff Data-Driven Insights**: Comprehensive logging for marketing analytics Think of it as your restaurant's digital menu announcer that never misses an update. How It Works Here's the complete workflow process: Step 1: Menu Monitoring Node**: Daily Menu Update Scheduler Function**: Triggers the workflow on a scheduled basis Frequency**: Configurable (hourly, daily, or real-time) Step 2: Data Retrieval Node**: Fetch Special Menu Data Function**: Pulls current menu data from Google Sheets (Sheet 1) Data**: Retrieves item details, prices, descriptions, and availability Step 3: Change Detection Node**: Detect Menu Changes Function**: Compares current data with previous state Logic**: Identifies new items, price changes, or availability updates Step 4: AI Content Generation Node**: Generate Menu Alert Message Function**: Creates engaging notification content using AI Output**: Formatted message with new items, descriptions, and prices Step 5: Customer Data Processing Node**: Fetch Customer Contact List Function**: Retrieves customer preferences from Google Sheets (Sheet 2) Filter**: Segments customers by notification preferences Step 6: Multi-Channel Delivery The workflow splits into three parallel notification channels: WhatsApp Branch Node**: Filter WhatsApp Users Function**: Identifies customers with WhatsApp notifications enabled Node**: Send WhatsApp Notification Function**: Delivers menu updates via WhatsApp Node**: Log WhatsApp Status Function**: Records delivery status in Sheet 3 Email Branch Node**: Filter Email Users Function**: Identifies customers with email notifications enabled Node**: Send Menu Email Function**: Delivers formatted email notifications Node**: Log Email Status Function**: Records delivery status in Sheet 3 SMS Branch Node**: Filter SMS Users Function**: Identifies customers with SMS notifications enabled Node**: Send Twilio SMS Alert Function**: Delivers text message notifications via Twilio Node**: Log SMS Status Function**: Records delivery status in Sheet 3 Step 7: Comprehensive Logging All notification activities are logged in Sheet 3 for tracking and analytics. Google Sheets Structure Sheet 1: Special Menu | Column | Description | Example | |--------|-------------|---------| | Item ID | Unique identifier for menu item | "ITEM001" | | Item Name | Name of the dish | "Truffle Risotto" | | Price | Item price | "$28.99" | | Description | Detailed item description | "Creamy arborio rice with black truffle, parmesan, and wild mushrooms" | | Nutritions | Nutritional information | "Calories: 450, Protein: 15g" | | Category | Menu category | "Main Course" | | Available | Availability status | "Yes" / "No" | Sheet 2: Customer Database | Column | Description | Example | |--------|-------------|---------| | Customer Name | Customer's full name | "ABC" | | Email | Customer's email address | "abc@gmail.com" | | Phone Number | Customer's phone number | "91999999999" | | WhatsApp Number | Customer's WhatsApp number | "91999999999" | | Email Notifications | Email preference | "Yes" / "No" | | SMS Notifications | SMS preference | "Yes" / "No" | | WhatsApp Notifications | WhatsApp preference | "Yes" / "No" | Sheet 3: Notification Logs | Column | Description | Example | |--------|-------------|---------| | Timestamp | Notification send time | "2025-07-09T12:51:09.587Z" | | Customer Name | Recipient name | "ABC" | | Notification Type | Channel used | "Email" / "SMS" / "WhatsApp" | | Status | Delivery status | "Sent" / "Failed" / "Pending" | | Message | Content sent | "SPECIAL MENU UPDATE..." | How to Use the Workflow Prerequisites Google Sheets Setup: Create three sheets with the required structure n8n Account: Access to n8n workflow platform WhatsApp Business API: WhatsApp Business account with API access Email Service: Gmail or SMTP service for email notifications Twilio Account: Twilio account for SMS functionality AI Model Access: OpenAI or similar AI service for content generation Importing the Workflow in n8n Step 1: Obtain the Workflow JSON Export the workflow from your n8n instance or obtain the JSON file Ensure you have the complete workflow configuration Step 2: Access n8n Workflow Editor Log in to your n8n instance (Cloud or self-hosted) Navigate to the Workflows section Click "Add Workflow" to create a new workflow Step 3: Import the Workflow Option A: Import from Clipboard Click the three dots (⋯) in the top-right corner Select "Import from Clipboard" Paste the JSON code into the text box Click "Import" to load the workflow Option B: Import from File Click the three dots (⋯) in the top-right corner Select "Import from File" Choose the .json file from your computer Click "Open" to import the workflow Configuration Setup Google Sheets Integration Authentication: Connect your Google account in n8n Sheet 1 Configuration: Set spreadsheet ID and range for menu data Sheet 2 Configuration: Set spreadsheet ID and range for customer data Sheet 3 Configuration: Set spreadsheet ID and range for notification logs WhatsApp Integration WhatsApp Business API: Set up WhatsApp Business API credentials Webhook Configuration: Configure webhook URLs for message delivery Message Templates: Create approved message templates for menu updates Email Integration Gmail/SMTP Setup: Configure email service credentials Email Templates: Design HTML email templates for menu notifications Sender Configuration: Set sender name and email address Twilio SMS Integration Twilio Account: Set up Twilio Account SID and Auth Token Phone Number: Configure Twilio phone number for SMS sending Message Templates: Create SMS message templates AI Content Generation API Configuration: Set up OpenAI or preferred AI service credentials Prompt Customization: Configure prompts for menu update content Content Parameters: Set message tone, length, and style Workflow Execution Automatic Execution Scheduled Triggers: Set up cron expressions for regular checks Webhook Triggers: Configure real-time triggers for immediate updates Manual Triggers: Enable manual execution for testing Monitoring and Maintenance Execution Logs: Monitor workflow execution through n8n interface Error Handling: Set up error notifications and retry mechanisms Performance Monitoring: Track execution times and success rates Sample Notification Message SPECIAL MENU UPDATE 🍽️ NEW ITEMS: • Truffle Risotto - $28.99 Creamy arborio rice with black truffle, parmesan, and wild mushrooms • Chocolate Lava Cake - $18.99 Warm chocolate cake with molten center, vanilla ice cream Total Menu Items: 2 Updated: 7/9/2025, 12:10:50 PM Visit our restaurant or call to place your order! 📞 Best Practices Data Management Regularly validate customer contact information Keep menu data updated and accurate Maintain clean customer preference settings Notification Strategy Send notifications during optimal hours (lunch/dinner time) Limit frequency to avoid customer fatigue Personalize messages based on customer preferences Content Quality Use engaging language and emojis appropriately Include clear pricing and descriptions Add call-to-action for immediate orders Performance Optimization Batch process notifications to avoid rate limits Implement retry logic for failed deliveries Monitor API quotas and usage limits Troubleshooting Common Issues Authentication Errors**: Verify API credentials and permissions Rate Limiting**: Implement delays between notifications Message Delivery**: Check phone number formats and email addresses Sheet Access**: Ensure proper sharing permissions Error Handling Set up notification alerts for workflow failures Implement fallback mechanisms for service outages Maintain backup notification methods Analytics and Reporting Key Metrics Delivery Rates**: Track successful notifications by channel Customer Engagement**: Monitor response rates and feedback Menu Performance**: Analyze which items generate most interest Channel Effectiveness**: Compare performance across WhatsApp, Email, and SMS Reporting Features Automated daily/weekly reports Customer preference analytics Notification performance dashboards Revenue correlation with menu updates Security and Compliance Data Protection Secure storage of customer contact information Compliance with GDPR and local privacy laws Regular security audits of API access Rate Limiting Respect platform rate limits (WhatsApp, Twilio, Email) Implement queuing systems for high-volume notifications Monitor and adjust sending frequencies Conclusion The Food Menu Update Notifier transforms restaurant communication from reactive to proactive, ensuring customers are always informed about your latest offerings. By leveraging multiple communication channels and AI-generated content, this workflow creates a seamless bridge between your kitchen innovations and customer awareness. This system not only improves customer engagement but also drives immediate sales through timely notifications about new menu items, special offers, and seasonal dishes. The comprehensive logging and analytics capabilities provide valuable insights for menu optimization and marketing strategy refinement.

Revit to HTML Quantity Takeoff Generator Automates extraction of wall quantities from Revit models and creates a professional interactive HTML report. Key Features Automated wall quantity analysis Calculates volumes by wall type ("Type Name") Generates interactive HTML QTO report Includes summary statistics: total elements, total and average volumes Provides detailed breakdown by element type How it works Upload a Revit file as input Workflow extracts wall quantities and types Creates and saves a ready-to-share HTML dashboard with QTO data No API keys required Runs offline Output is a professional, ready-to-use HTML report

🔍 Yelp Business Finder: Scraping Local Businesses by Keyword, Category & Location Using Bright Data and Google Sheets Description: Automate local business data collection from Yelp using AI-powered input validation, Bright Data scraping, and automatic Google Sheets integration. Perfect for market research, lead generation, and competitive analysis. 🛠️ How It Works Form Submission: Users submit a simple form with country, location, and business category parameters. AI Validation: Google Gemini AI validates and cleans input data, ensuring proper formatting and Yelp category alignment. Data Scraping: Bright Data's Yelp dataset API scrapes business information based on the cleaned parameters. Status Monitoring: The workflow monitors scraping progress and waits for data completion. Data Export: Final business data is automatically appended to your Google Sheets for easy analysis. 📋 Setup Steps ⏱️ Estimated Setup Time: 10-15 minutes Prerequisites ✅ Active n8n instance (cloud or self-hosted) ✅ Google account with Sheets access ✅ Bright Data account with Yelp scraping dataset ✅ Google Gemini API access Configuration Steps Import Workflow: Copy the provided JSON workflow In n8n: Go to Workflows → + Add workflow → Import from JSON Paste the JSON and click Import Configure Google Sheets: Create a new Google Sheet or use an existing one Set up OAuth2 credentials in n8n Update the Google Sheets node with your document ID Configure column mappings for business data Setup Bright Data: Add your Bright Data API credentials to n8n Replace BRIGHT_DATA_API_KEY with your actual API key Verify your Yelp dataset ID in the HTTP request nodes Test the connection Configure Google Gemini: Add your Google Gemini API credentials Test the AI Agent connection Verify the model configuration Test & Activate: Activate the workflow using the toggle switch Test with sample data: country="US", location="New York", category="restaurants" Verify data appears correctly in your Google Sheet 📊 Data Output 📍 Business Name Official business name from Yelp ⭐ Overall Rating Average customer rating (1-5 stars) 📝 Reviews Count Total number of customer reviews 🏷️ Categories Business categories and tags 🌐 Website URL Official business website 📞 Phone Number Contact phone number 📍 Address Full business address 🔗 Yelp URL Direct link to Yelp listing 🎯 Use Cases 🔍 Market Research Analyze local business landscapes and competition 📈 Lead Generation Build prospect lists for B2B outreach 🏪 Location Analysis Research business density by area and category 📊 Competitive Intelligence Monitor competitor ratings and customer feedback ⚠️ Important Notes: Ensure you comply with Yelp's terms of service and rate limits Bright Data usage may incur costs based on your plan AI validation helps improve data quality and reduce errors Monitor your Google Sheets for data accuracy 🔧 Troubleshooting Common Issues: API Rate Limits:** Implement delays between requests if needed Invalid Categories:** AI agent helps standardize category names Empty Results:** Verify location spelling and category alignment Authentication Errors:** Check all API credentials and permissions 🚀 Ready to start scraping Yelp business data efficiently!

💼 LinkedIn Job Finder Automation using Bright Data API & Google Sheets A comprehensive n8n automation that searches LinkedIn job postings using Bright Data’s API and automatically organizes results in Google Sheets for efficient job hunting and recruitment workflows. 📋 Overview This workflow provides an automated LinkedIn job search solution that collects job postings based on your search criteria and organizes them in Google Sheets. Perfect for job seekers, recruiters, HR professionals, and talent acquisition teams. ✨ Key Features 🔍 Smart Job Search:** Form-based input for city, job title, country, and job type 🛍 LinkedIn Integration:** Uses Bright Data’s LinkedIn dataset for accurate job posting data 📊 Automated Organization:** Populates Google Sheets with structured job data 📧 Real-time Processing:** Processes job search requests in real-time 📈 Data Storage:** Stores job details including company info, locations, and apply links 🔄 Batch Processing:** Handles multiple job postings efficiently ⚡ Fast & Reliable:** Built-in error handling for scraping 🎯 Customizable Filters:** Advanced job filtering based on criteria 🎯 What This Workflow Does Input Job Search Criteria:** City, job title, country, and optional job type Search Parameters:** Configurable filters and limits Output Preferences:** Google Sheets destination Processing Steps Form Submission Data Request to Bright Data API Status Monitoring Data Extraction Data Filtering Sheet Update Error Handling Output Data Points Field Description Example Job Title Position title from posting Senior Software Engineer Company Name Employer company name Tech Solutions Inc. Job Detail Job summary/description Remote position requiring 5+ years… Location Job location San Francisco, CA Company URL Company profile link View Profile Apply Link Direct application link Apply Now 🚀 Setup Instructions Prerequisites n8n instance (self-hosted or cloud) Google account with Sheets access Bright Data account with LinkedIn dataset access Steps Import the Workflow: Use JSON import in n8n Configure Bright Data: Add API credentials and dataset ID Configure Google Sheets: Create sheet, set credentials, map columns Update Workflow Settings: Replace placeholders with your actual data Test & Activate: Submit test form and verify data in Google Sheets 📖 Usage Guide Submitting Job Searches Go to your webhook URL and fill in the form with: City:** e.g., New York Job Title:** e.g., Software Engineer Country:** e.g., US Job Type:** Optional (Full-Time, Remote, etc.) Understanding Results Comprehensive job data Company info and profile links Direct application links Location and job descriptions Customizing Search Parameters Edit the Create Snapshot ID node to change: Time range (e.g., “Past month”) Result limits Company filters 🔧 Customization Options More Data Points:** Add salary, seniority, applicants, etc. Custom Form Fields:** Add filters for salary, experience, industry Multiple Sheets:** Route results by job type or location 🚨 Troubleshooting Bright Data connection failed:** Check API credentials and dataset access No job data extracted:** Verify search parameters and API limits Google Sheets permission denied:** Re-authenticate and check sharing Form not working:** Check webhook URL and field mappings Filter issues:** Review logic and data types Execution failed:** Check logs, retry logic, and network status 📊 Use Cases & Examples Job Seeker Dashboard:** Automate job search and track applications Recruitment Pipeline:** Source candidates and monitor hiring trends Market Research:** Analyze job trends and salary benchmarks HR Analytics:** Support workforce planning and competitive insights ⚙️ Advanced Configuration Batch Processing:** Queue multiple searches with delays Search History:** Track and analyze past searches Tool Integration:** Connect to CRM, Slack, databases, BI tools 📈 Performance & Limits Processing Time:** 30–60 seconds per search Concurrent Requests:** 2–3 (depends on Bright Data plan) Data Accuracy:** 95%+ Success Rate:** 90%+ Daily Capacity:** 50–200 searches Memory:** ~50MB per execution API Calls:** 3–4 Bright Data + 1 Google Sheets per search 🤝 Support & Community n8n Community:** community.n8n.io Documentation:** docs.n8n.io Bright Data Support:** Via your Bright Data dashboard GitHub Issues:** Report bugs and request features 🎯 Ready to Use! Your workflow is ready for automated LinkedIn job searching. Customize it to your recruiting or job search needs. Webhook URL: https://your-n8n-instance.com/webhook/linkedin-job-finder What Gets Extracted: * ✅ Job Title * ✅ Company Information * ✅ Location Data * ✅ Job Details * ✅ Application Links * ✅ Processing Timestamps ### Use Cases: * 🔍 Job Search Automation * 📊 Recruitment Intelligence * 📝 Market Research * 🎯 HR Analytics