Workflow Templates

Transform raw customer feedback into powerful testimonial quotes automatically. This intelligent n8n workflow monitors feedback forms, uses AI to identify and extract the most emotionally engaging testimonial content, and organizes everything into a searchable database for your marketing campaigns. 🔄 How It Works This streamlined 4-step automation turns feedback into marketing assets: Step 1: Continuous Feedback Monitoring The workflow monitors your Google Sheets (connected to feedback forms) every minute, instantly detecting new customer submissions and triggering the extraction process. Step 2: Intelligent Quote Extraction Google Gemini AI analyzes each feedback submission using specialized prompts designed to: Identify emotionally engaging phrases and statements Extract short, impactful testimonial quotes from longer feedback Filter out neutral, irrelevant, or negative content Focus on marketing-ready, quotable customer experiences Preserve the authentic voice and emotion of the original feedback Step 3: Automated Database Population Extracted testimonials are automatically written back to your Google Sheets in a dedicated "Testimony" column, creating an organized, searchable database of customer quotes ready for marketing use. Step 4: Instant Team Notification Email alerts are sent immediately to your marketing team with each new extracted testimonial, ensuring no valuable social proof goes unnoticed or unused. ⚙️ Setup Steps Prerequisites Google Workspace account for Forms, Sheets, and Gmail Google Gemini API access for intelligent quote extraction n8n instance (cloud or self-hosted) Basic understanding of Google Forms and customer feedback collection Required Google Forms Structure Create a customer feedback form with these essential fields: 📝 Required Form Fields: Name (Short answer text) Email Address (Email field with validation) Feedback (Paragraph text - this is where testimonials are extracted from) Testimony (Leave blank - will be auto-populated by AI) Form Design Best Practices: Use open-ended questions to encourage detailed responses Ask specific questions about customer experience and outcomes Include questions about before/after results for powerful testimonials Make the feedback field prominent and easy to complete Configuration Steps 1. Credential Setup Google Sheets OAuth2**: Monitor feedback responses and update testimonial database Google Gemini API Key**: Extract intelligent, emotionally engaging quotes from feedback Gmail OAuth2**: Send automated notifications to marketing team Google Forms Integration**: Ensure seamless data flow from feedback forms 2. Google Sheets Configuration Verify your feedback response sheet contains proper column structure: | Timestamp | Name | Email | Feedback | Testimony | 3. AI Extraction Optimization The default prompt extracts impactful testimonials, but can be customized for: Industry-Specific Language**: Healthcare, technology, finance, retail terminology Quote Length Preferences**: Short punchy quotes vs longer detailed testimonials Emotional Tone Targeting**: Excitement, relief, satisfaction, transformation Content Focus**: Results-oriented, process-focused, or relationship-based testimonials 4. Notification Customization Email alerts can be configured for: Multiple Recipients**: Marketing team, sales team, customer success Custom Subject Lines**: Include customer name, product type, or urgency indicators Rich Content**: Include full feedback alongside extracted testimonial Categorization**: Different alerts for different product lines or service types 5. Quality Control Implementation Extraction Confidence**: Set minimum quality thresholds for extracted quotes Manual Review Process**: Flag testimonials for human review before publication Approval Workflows**: Add approval steps for high-value or sensitive testimonials Version Control**: Track original feedback alongside extracted quotes 🚀 Use Cases E-commerce & Retail Product Reviews**: Extract compelling quotes from detailed product feedback Customer Success Stories**: Identify transformation narratives from user experiences Social Proof Collection**: Build testimonial libraries for product pages and ads Review Mining**: Turn long reviews into short, shareable testimonial quotes SaaS & Technology Companies User Experience Feedback**: Extract quotes about software usability and impact ROI Testimonials**: Identify statements about business results and efficiency gains Feature Feedback**: Capture specific praise for product capabilities and benefits Customer Success Metrics**: Extract quantifiable results and outcome statements Professional Services Client Success Stories**: Transform project feedback into powerful case study quotes Service Quality Testimonials**: Extract praise for expertise, communication, and results Consulting Impact**: Identify statements about business transformation and growth Relationship Testimonials**: Capture quotes about trust, partnership, and collaboration Healthcare & Wellness Patient Experience**: Extract quotes about care quality and health outcomes Treatment Success**: Identify statements about symptom improvement and recovery Provider Relationships**: Capture testimonials about bedside manner and communication Wellness Journey**: Extract quotes about lifestyle changes and health transformations Education & Training Student Success Stories**: Extract quotes about learning outcomes and career impact Course Effectiveness**: Identify statements about skill development and knowledge gains Instructor Praise**: Capture testimonials about teaching quality and support Career Transformation**: Extract quotes about professional growth and opportunities 🔧 Advanced Customization Options Multi-Category Extraction Enhance extraction with specialized processing: Product-Specific: Extract testimonials for different product lines separately Service-Based: Customize extraction for various service offerings Demographic-Focused: Tailor extraction for different customer segments Journey-Stage: Extract testimonials for awareness, consideration, and retention phases Quality Enhancement Features Implement advanced quality control: Sentiment Scoring**: Rate extracted testimonials for emotional impact Authenticity Verification**: Cross-reference testimonials with customer records Duplicate Detection**: Prevent similar testimonials from the same customer Content Enrichment**: Add context and customer details to extracted quotes Marketing Integration Extensions Connect to marketing and sales tools: Social Media Publishing**: Auto-post testimonials to Facebook, LinkedIn, Twitter Website Integration**: Push testimonials to website testimonial sections Email Marketing**: Include fresh testimonials in newsletter campaigns Sales Enablement**: Provide sales team with relevant testimonials for prospects Analytics and Reporting Generate insights from testimonial data: Testimonial Performance**: Track which quotes generate most engagement Customer Satisfaction Trends**: Analyze testimonial sentiment over time Product/Service Insights**: Identify most praised features and benefits Competitive Advantages**: Extract testimonials highlighting differentiators 📊 Extraction Examples Before (Raw Feedback): "I was really struggling with managing my team's projects and keeping track of all the deadlines. Everything was scattered across different tools and I was spending way too much time just trying to figure out what everyone was working on. Since we started using your project management software about 6 months ago, it's been a complete game changer. Now I can see everything at a glance, our team communication has improved dramatically, and we're actually finishing projects ahead of schedule. The reporting features are amazing too - I can finally show my boss concrete data about our team's productivity. I honestly don't know how we managed without it. The customer support team has been fantastic as well, always quick to help when we had questions during setup." After (AI Extracted Testimonial): "Complete game changer - now I can see everything at a glance, our team communication has improved dramatically, and we're actually finishing projects ahead of schedule." Healthcare Example: Before (Raw Feedback): "I had been dealing with chronic back pain for over 3 years and had tried everything - physical therapy, medication, different doctors. Nothing seemed to help long-term. When I found Dr. Martinez, I was honestly pretty skeptical because I'd been disappointed so many times before. But after our first consultation, I felt hopeful for the first time in years. She really listened to me and explained everything clearly. The treatment plan she developed was comprehensive but manageable. Within just 2 months, I was experiencing significant pain reduction, and now after 6 months, I'm practically pain-free. I can play with my kids again, sleep through the night, and even started hiking on weekends. Dr. Martinez didn't just treat my symptoms - she helped me get my life back." After (AI Extracted Testimonial): "Within just 2 months, I was experiencing significant pain reduction, and now I'm practically pain-free. Dr. Martinez didn't just treat my symptoms - she helped me get my life back." 🛠️ Troubleshooting & Best Practices Common Issues & Solutions Low-Quality Extractions Improve Feedback Questions**: Ask more specific, outcome-focused questions Refine AI Prompts**: Adjust extraction criteria for better quote selection Set Minimum Length**: Ensure feedback has sufficient content for meaningful extraction Quality Scoring**: Implement rating system for extracted testimonials Insufficient Feedback Volume Multiple Feedback Channels**: Collect testimonials through various touchpoints Incentivized Feedback**: Offer small rewards for detailed feedback submissions Follow-up Automation**: Send feedback requests to satisfied customers Timing Optimization**: Request feedback at optimal moments in customer journey Privacy and Consent Issues Permission Management**: Ensure customers consent to testimonial use Attribution Control**: Allow customers to specify how they want to be credited Approval Workflows**: Implement customer approval before publishing testimonials Data Protection**: Maintain compliance with privacy regulations Optimization Strategies Extraction Quality Enhancement Prompt Engineering**: Continuously refine AI prompts based on output quality A/B Test Extractions**: Test different extraction approaches for effectiveness Human Review Integration**: Combine AI extraction with human editorial oversight Context Preservation**: Maintain customer context alongside extracted quotes Marketing Integration Campaign Alignment**: Extract testimonials that support specific marketing campaigns Audience Segmentation**: Categorize testimonials for different target audiences Channel Optimization**: Format testimonials for specific marketing channels Performance Tracking**: Monitor which testimonials drive best marketing results Process Automation Multi-Stage Processing**: Implement multiple extraction and refinement steps Quality Gates**: Add checkpoints for testimonial quality and relevance Workflow Branching**: Route different types of feedback to appropriate processes Error Handling**: Implement fallbacks for failed extractions or poor-quality feedback 📈 Success Metrics Extraction Efficiency Processing Speed**: Reduce time from feedback submission to usable testimonial Success Rate**: Percentage of feedback submissions yielding quality testimonials Quote Quality**: Average rating of extracted testimonials by marketing team Volume Increase**: Growth in testimonial collection and database size Marketing Impact Testimonial Usage**: Frequency of extracted testimonials in marketing campaigns Conversion Rates**: Impact of AI-extracted testimonials on sales metrics Social Proof Effectiveness**: Engagement rates on testimonial-based content Customer Acquisition**: Attribution of new customers to testimonial-driven campaigns 📞 Questions & Support Need help implementing your AI Testimonial Extractor Agent? 📧 Specialized Technical Support Email**: Yaron@nofluff.online Response Time**: Within 24 hours on business days Expertise**: AI testimonial extraction, feedback form optimization, marketing automation 🎥 Comprehensive Learning Library YouTube Channel**: https://www.youtube.com/@YaronBeen/videos Complete setup guides for feedback form design and AI extraction Advanced prompt engineering techniques for testimonial quality Integration tutorials for marketing platforms and social media Best practices for customer feedback collection and testimonial usage Troubleshooting common extraction and quality issues 🤝 Professional Marketing Community LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Connect for ongoing testimonial marketing automation support Share your customer success story automation achievements Access exclusive templates for feedback forms and testimonial campaigns Join discussions about social proof marketing and customer experience automation 💬 Support Request Guidelines Include in your support message: Your industry and typical customer feedback patterns Current testimonial collection process and challenges Specific marketing channels where testimonials will be used Volume expectations and quality requirements Integration needs with existing marketing tools Ready to turn every customer feedback into marketing gold? Deploy this AI Testimonial Extractor Agent and build a powerful testimonial database that drives sales and builds trust with prospects automatically!

This template can be used to verify email addresses with Icypeas. Be sure to have an active account to use this template. How it works This workflow can be divided into four steps : The workflow initiates with a manual trigger (On clicking ‘execute’). It reads your Google Sheet file. It connects to your Icypeas account. It performs an HTTP request to scan the domains/companies. Set up steps You will need a formated Google sheet file with company/domain names. You will need a working icypeas account to run the workflow and get your API Key, API Secret and User ID. You will need domain/companies names to scan them.

Automated pipeline that exports technology stack data from BuiltWith to Google Sheets for analysis, reporting, and team collaboration. 🚀 What It Does Extracts technology stack data Organizes data in Google Sheets Updates automatically on schedule Supports multiple company tracking Enables easy data sharing 🎯 Perfect For Sales teams Market researchers Business analysts Competitive intelligence Technology consultants ⚙️ Key Benefits ✅ Centralized technology database ✅ Easy data analysis ✅ Team collaboration ✅ Historical tracking ✅ Custom reporting 🔧 What You Need BuiltWith API access Google account n8n instance Google Sheets setup 📊 Data Exported Company information Web technologies Hosting details Analytics tools Marketing technologies Contact information 🛠️ Setup & Support Quick Setup Start exporting in 15 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Transform raw technology data into actionable business intelligence with automated exports.

Automating Company Data Enrichment and ICP Calculation Use Case This automation identifies a company's LinkedIn profile, extracts key business data, and calculates an ICP (Ideal Customer Profile) score to qualify and enrich company records. It is perfect for sales teams, data enrichment pipelines, and CRM integrations. What This Automation Does Input Parameters Company domain**: The company's website domain (e.g., example.com). Airtop Profile (connected to LinkedIn)**: Your Airtop Profile authenticated for LinkedIn. Company LinkedIn* *(optional): If already known, skips search. Output Includes Verified LinkedIn company URL (if not provided) Company profile (name, tagline, website, location, about) Scale metrics (employee count and bracket) Classification (automation agency status, AI focus, technical level) ICP score with justifications Structured JSON object with all values merged How It Works LinkedIn Detection: If not provided, attempts to locate the LinkedIn URL using website scraping or search. Data Extraction: Uses Airtop to gather structured data from the company’s LinkedIn profile. ICP Scoring: Applies a scoring rubric based on AI/tech orientation, scale, agency status, and geography. Merge Results: All data components are merged into a unified output. Setup Requirements Airtop API Key Airtop Profile with LinkedIn authentication Next Steps Combine with Person Enrichment**: Pair with workflows that enrich individuals tied to the company. Sync to CRM**: Connect the output to your CRM for record enrichment or scoring fields. Adjust ICP Scoring Logic**: Modify the rubric for your organization's ICP model. Read more about company data enrichment and ICP scoring

This workflow contains community nodes that are only compatible with the self-hosted version of n8n. How it works This workflow is a simple AI Agent that connects to Langfuse so send tracing data to help monitor LLM interactions. The main idea is to create a custom LLM model that allows the configuration of callbacks, which are used by langchain to connect applications such Langfuse. This is achieves by using the "langchain code" node: Connects a LLM model sub-node to obtain the model variables (model name, temp and provider) - Creates a generic langchain initChatModel with the model parameters. Return the LLM to be used by the AI Agent node. 📋 Prerequisites Langfuse instance (cloud or self-hosted) with API credentials LLM API key (Gemini, OpenAI, Anthropic, etc.) n8n >= 1.98.0 (required for LangChain code node support in AI Agent) ⚙️ Setup Add these to your n8n instance: Langfuse configuration LANGFUSE_SECRET_KEY=your_secret_key LANGFUSE_PUBLIC_KEY=your_public_key LANGFUSE_BASEURL=https://cloud.langfuse.com # or your self-hosted URL LLM API key (example for Gemini) GOOGLE_API_KEY=your_api_key Alternative: Configure these directly in the LangChain code node if you prefer not to use environment variables Import the workflow JSON Connect your preferred LLM model node Send a test message to verify tracing appears in Langfuse

Automate Sports Betting Data with TheOddsAPI This workflow enables you to create and update a table using TheOddsAPI for sports betting data. It automatically pulls upcoming Ice Hockey games at the start of the day and updates the table with results at the end of the day. You can modify it to retrieve odds and game data for any sport. This setup is particularly useful for sports betting applications, such as tracking the results of a predictive model. It leverages scheduled triggers to activate HTTP requests, which then create or update fields in Airtable by matching on the game ID. Prerequisites Before implementing this workflow, ensure you have the following: TheOddsAPI Account & API Key Sign up at TheOddsAPI and obtain an API key. Ensure you have the correct API permissions to access sports odds and results. Airtable Account & API Key Create an account at Airtable and set up a database. Obtain an API key from the Account Settings page. API Access & Rate Limits Review TheOddsAPI’s rate limits and ensure your account tier allows for scheduled API calls. Confirm that Airtable API limits align with your expected data retrieval frequency. Step-by-Step Guide to Integrating TheOddsAPI 1. Schedule API Requests Set up a trigger to automatically pull upcoming Ice Hockey games at the start of each day. 2. Fetch Data from TheOddsAPI Retrieve the latest sports betting data, including game details and odds, using TheOddsAPI. 3. Store Data in Airtable Insert or update records in Airtable by matching game IDs, ensuring data accuracy. Sample Airtable Template Column Setup for Ice Hockey (Table can adjust depending on sport and data needs. Reference TheOddsAPI for more documentation.) Game ID** Sport** League** Game Date (UTC)** Home Team** Away Team** Completed** (Boolean: TRUE/FALSE for game completion status) Scores** (JSON or String for final scores) Last Update** (Timestamp of the latest update) 4. Schedule an End-of-Day Update Configure another trigger to fetch final game results at the end of the day. 5. Update Records in Airtable Modify existing Airtable records with final scores and game outcomes for complete tracking. 6. Customize for Other Sports Adjust API parameters to retrieve data for different sports and betting odds, making the system flexible for multiple use cases. This structured workflow automates sports betting data collection and updates, ensuring accurate and real-time tracking of odds and game results. By integrating TheOddsAPI with Airtable, you can build scalable applications for predictive sports analytics and betting insights.

This n8n template allows you to instantly fetch a random dog image from the Dog CEO API by simply sending a webhook request. It's a fun and simple way to integrate random dog photos into your projects, whether for websites, applications, or playful automations. 🔧 How it works Trigger Webhook: This node acts as the entry point for the workflow. It listens for any incoming POST request. No specific data is required in the webhook body, as the workflow fetches a random image. Fetch Random Dog Image: This node makes an HTTP GET request to https://dog.ceo/api/breeds/image/random. The API responds with a JSON object containing the URL of a random dog image. Respond with Image URL: This node sends the URL of the random dog image back to the service that initiated the webhook. 👤 Who is it for? This workflow is ideal for: Developers: Quickly integrate random dog images into web applications, bots, or prototypes. Content Creators: Get fresh, random dog photos for social media, blogs, or presentations. Learning n8n: A straightforward example of using a webhook to trigger an API call and return data. Anyone who loves dogs! 📑 Data Structure When you trigger the webhook, you can send an empty POST request body. The workflow will return a JSON response similar to this (the message URL will vary): { "message": "https://images.dog.ceo/breeds/hound-walker/n02089867_2626.jpg", "status": "success" } ⚙️ Setup Instructions Import Workflow: In your n8n editor, click "Import from JSON" and paste the provided workflow JSON. Configure Webhook Path: Double-click the Trigger Webhook node. In the 'Path' field, set a unique and descriptive path (e.g., /get-dog-image). Activate Workflow: Save and activate the workflow. 📝 Tips Download the Image: Instead of just returning the URL, you can download the image and then process it. Insert another HTTP Request node after Fetch Random Dog Image to download the image binary. Set the HTTP Request node's 'Response Format' to 'Binary'. Use the expression ={{ $json.message }} for the URL. Save to Cloud Storage: After downloading the image (as described above), you can save it to various cloud storage services: Google Drive: Add a Google Drive node. Connect it to the output of the image download node. Configure it to upload the binary data to a specific folder. Amazon S3: Add an AWS S3 node. Configure it to upload the binary data, specifying your bucket and desired filename. Dropbox: Use the Dropbox node to upload the image file. Send as a Message: Share the dog image directly in a chat or email: Slack/Discord/Telegram: Use the respective integration node to send the image URL or the downloaded image as an attachment. Email: Attach the downloaded image to an email using an Email or Gmail node. Display on a Web Page: If you're embedding this into a web application, you can simply use the returned URL in an tag to display the image. Error Handling: You can add an Error Trigger node to catch any issues during the image fetching process (e.g., if the Dog CEO API is down) and send notifications.

Workflow Overview This cutting-edge n8n automation is a powerful social media intelligence gathering tool designed to transform Instagram profile research into a seamless, automated process. By intelligently combining web scraping, data formatting, and cloud storage technologies, this workflow: Discovers Profile Insights: Automatically scrapes Instagram profile data Captures comprehensive profile metrics Extracts critical social media intelligence Intelligent Data Capture: Retrieves follower counts Collects biographical information Captures profile picture and external links Seamless Data Logging: Automatically stores data in Google Sheets Creates a living, updateable database Enables easy analysis and tracking Key Benefits 🤖 Full Automation: Instant profile intelligence 💡 Comprehensive Insights: Detailed social media metrics 📊 Effortless Tracking: Automated data collection 🌐 Multi-Purpose Research: Flexible data gathering Workflow Architecture 🔹 Stage 1: Trigger & Input Form-Based Trigger**: Manual username submission Webhook Support**: Flexible data entry methods User-Driven Initiation** 🔹 Stage 2: Web Scraping Apify Integration**: Robust Instagram data extraction Comprehensive Profile Scanning**: Followers count Following count Profile biography Profile picture URL 🔹 Stage 3: Data Formatting Intelligent Data Mapping** Standardized Data Structure** Preparation for Storage** 🔹 Stage 4: Cloud Logging Google Sheets Integration** Persistent Data Storage** Easy Access and Analysis** Potential Use Cases Influencer Marketing**: Talent identification Competitive Intelligence**: Audience research Social Media Analysis**: Performance tracking Recruitment**: Talent scouting Brand Partnerships**: Collaboration opportunities Setup Requirements Apify Account Instagram scraping actor API token Configured scraping parameters Google Sheets Connected Google account Prepared tracking spreadsheet Appropriate sharing settings n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Advanced profile scoring 📊 Engagement rate calculation 🔔 Real-time change alerts 🌐 Multi-platform profile tracking 🧠 AI-powered insights generation Technical Considerations Implement robust error handling Use exponential backoff for API calls Maintain flexible data extraction strategies Ensure compliance with platform terms of service Ethical Guidelines Respect user privacy Use data for legitimate research Maintain transparent data collection practices Provide opt-out mechanisms Connect With Me Ready to unlock social media insights? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your social media research with intelligent, automated workflows! #InstagramDataScraping #SocialMediaIntelligence #InfluencerMarketing #DataAutomation #AIResearch #MarketingTechnology #SocialMediaAnalytics #ProfileIntelligence #WebScraping #MarketingTech

Who is this template for? Anyone who is drowning in emails Busy parents who has alot of school emails Busy executives with too many emails Case Study I get too many emails from my kid's school about soccer practice, lunch orders and parent events. I use this workflow to read all the emails and tell me what is important and what requires actioning. Read more -> How I used A.I. to read all my emails What this workflow does It uses IMAP to read the emails from your email account (i.e. Gmail). It then passes the email to Openrouter.ai and uses a free A.I. model to read and summarize the email. It then sends the summary as a message to your messenger (i.e. Line). Setup You need to find your email server IMAP credentials. Input your openrouter.ai API credentials or replace the HTTP request node with an A.I. node such as OpenAI. Input your messenger credentials. I use Line but you can change the node to another messenger line Telegram. You need to change the message ID to your ID inside the http request. You can find your user ID inside the https://developers.line.biz/console/. Change the "to": {insert your user ID}. How to adjust it to your needs You can change the A.I. prompt to fit your needs by telling it to mark emails from a certain address as important. You can change the A.I. model from the current meta-llama/llama-3.1-70b-instruct:free to a paid model or other free models. You can change the messenger node to telegram or any other messenger app you like.

🔥 AI Lead Scoring Agent: Smart Contact Form Triager Automatically score every contact form lead as Hot/Warm/Cold and alert your sales team instantly. This intelligent workflow captures contact form submissions, uses GPT-4 to analyze message content and score lead quality, then sends formatted alerts to Slack - ensuring your sales team always focuses on the hottest prospects first. 🚀 What It Does Instant Lead Capture: Automatically receives contact form submissions via webhook endpoint AI-Powered Scoring: GPT-4 analyzes message content and classifies leads as Hot 🔥, Warm 🌤, or Cold ❄️ Smart Data Extraction: Cleanly extracts name, email, and message from form submissions Real-Time Slack Alerts: Sends formatted notifications to your sales team with lead details and AI scoring 🎯 Key Benefits ✅ Never Miss Hot Prospects: AI identifies urgent leads automatically ✅ Save Sales Time: Focus effort on highest-probability leads first ✅ Instant Team Alerts: Real-time notifications in Slack channels ✅ Smart Prioritization: AI scoring eliminates guesswork in lead quality ✅ Zero Manual Work: Complete automation from form to sales alert ✅ Universal Integration: Works with any contact form or landing page 🏢 Perfect For Sales & Marketing Teams SaaS companies managing inbound leads Service businesses qualifying prospects E-commerce stores identifying serious buyers Agencies prioritizing client inquiries Business Applications Lead Qualification**: Identify purchase-ready prospects instantly Sales Efficiency**: Focus team effort on highest-value opportunities Response Prioritization**: Handle urgent inquiries first Team Coordination**: Keep entire sales team informed of new leads ⚙️ What's Included Complete Workflow: Ready-to-deploy lead scoring automation Webhook Endpoint: Receives submissions from any contact form AI Classification: GPT-4 powered lead interest analysis Slack Integration: Professional team notifications with emojis and formatting Data Processing: Clean extraction and formatting of lead information 🔧 Quick Setup Requirements n8n Platform**: Cloud or self-hosted instance OpenAI API**: GPT-4 access for lead scoring Slack Workspace**: Team channel for lead notifications Contact Form**: Any form that can POST to webhook endpoint 📱 Sample Slack Alert 🔥 New Lead: Sarah Johnson (sarah@techstartup.com) Message: "We're looking for a project management solution for our 50-person team. Need to implement ASAP as we're scaling fast. Can we schedule a demo this week?" Triage: 🔥 Hot ❄️ New Lead: John Smith (john@email.com) Message: "Just browsing your website. Might be interested in learning more someday." Triage: ❄️ Cold 🎨 Customization Options Scoring Criteria: Adjust AI prompts for industry-specific lead qualification Team Channels: Route different lead types to specific Slack channels Additional Fields: Capture company size, budget, timeline data CRM Integration: Connect to Salesforce, HubSpot, or Pipedrive Follow-up Automation: Trigger email sequences based on lead temperature Analytics Tracking: Monitor lead quality trends and conversion rates 🏷️ Tags & Categories #lead-scoring #sales-automation #contact-form-processing #ai-qualification #slack-integration #prospect-management #inbound-marketing #sales-productivity #lead-generation #openai-integration #webhook-automation #crm-automation #sales-alerts #lead-triage #ai-agent 💡 Use Case Examples SaaS Company: Score demo requests based on company size and urgency mentions Consulting Firm: Identify clients ready to start projects vs those still researching E-commerce Store: Spot bulk buyers and wholesale inquiries vs casual browsers Marketing Agency: Prioritize clients with specific budgets and timelines mentioned 📈 Expected Results 70% faster** lead response times through smart prioritization 3x higher** conversion rates focusing on Hot leads first 50% time savings** on manual lead qualification 100% lead coverage** - never miss or ignore a prospect again 🛠️ Setup & Support 5-Minute Setup: Simple webhook configuration with any contact form Universal Integration: Works with WordPress, Webflow, custom forms, landing pages Team Training: Clear Slack notification format anyone can understand Scalable: Handles unlimited form submissions automatically 📞 Get Help & Resources YouTube: https://www.youtube.com/@YaronBeen/videos 💼 Sales Automation Support LinkedIn: https://www.linkedin.com/in/yaronbeen/ 📧 Direct Help Email: Yaron@nofluff.online - Response within 24 hours Ready to never miss another hot lead? Get this AI Lead Scoring Agent and transform your contact forms into intelligent lead qualification systems. Your sales team will always know which prospects to call first, and you'll never waste time on cold leads again. Stop treating all leads equally. Start prioritizing the ones ready to buy.

What this workflow does Linkedin tracks which Chrome extensions are installed in your browser. This workflow uses a huge raw JSON of chrome extension ids, extracted from Linkedin pages, and builds a pretty Google Sheet with the list of these extensions. This workflow web scrapes Google to search for chrome extension id - and extracts the first search result. Setup Clone this Google Sheet template: https://docs.google.com/spreadsheets/d/1nVtoqx-wxRl6ckP9rBHSL3xiCURZ8pbyywvEor0VwOY/edit?gid=0#gid=0 Get API key for Google SERP API access here: https://rapidapi.com/restyler/api/serp-api1 Create n8n header auth for Google SERP API Some context and discussion https://www.linkedin.com/feed/update/urn:li:activity:7245006911807393792/ Follow the author and get the final Google Sheet with 1300+ Chrome extensions: https://www.linkedin.com/in/anthony-sidashin/

Who is this for? This workflow is ideal for businesses, accountants, and finance teams who receive bank slip images via LINE and want to automate the extraction of transaction details. It eliminates manual data entry and speeds up financial tracking. What problem does this workflow solve? Many businesses receive bank transfer slips via LINE from customers, but manually recording transaction details into spreadsheets is time-consuming and error-prone. This workflow automates the entire process, extracting structured data from the bank slips and storing it in Google Sheets for seamless record-keeping. What this workflow does: Receives bank slip images from LINE BOT Extracts transaction details (sender, receiver, amount, transaction ID) using SpaceOCR Automatically logs extracted data into Google Sheets Works with Standard Bank Slips & PromptPay transactions Eliminates manual data entry and reduces errors Setup Instructions: 1. Prerequisites A LINE BOT with Messaging API enabled A SpaceOCR API Key (Get from https://spaceocr.com/) A Google Sheets account to store extracted data An n8n instance running (Cloud or Self-hosted) 2. Setup Google Sheets Create a Google Sheet with the following structure: A (Date) B (Time) C (Sender) D (Receiver) E (Bank Name) F (Amount) G (Transaction ID) Ensure your Google Sheets API is enabled and connected to n8n. For an example of the required format, check this Google Sheets template: Google Sheets Template 3. Configure n8n Workflow 1. Webhook Node (Receives bank slip from LINE BOT) Set method:* Set Path:* 2. HTTP Request (Download Image from LINE Message) Retrieves image URL from the LINE message payload 3. SpaceOCR Node (Extract Text from Bank Slip) Input:* API Key:* #### 4. Google Sheets Node (Save Transaction Data) Select your Google Sheet Map extracted data (sender, receiver, amount, etc.) to the respective columns 4. Deploy & Test Activate the workflow in n8n Set Webhook URL in LINE Developer Console Send a test bank slip image to the LINE BOT Check Google Sheets for extracted transaction data