by Polina Medvedieva
Who is this template for This template is for marketers, SEO specialists, or content managers who need to analyze keywords to identify which ones contain references to a specific area or topic, in this case – IT software, services, tools, or apps. Use case Automating the process of scanning a large list of keywords to determine if they reference known IT products or services (like ServiceNow, Salesforce, etc.), and updating a Google Sheet with this classification. This helps in categorizing keywords for targeted SEO campaigns, content creation, or market analysis. How this workflow works Fetches keyword data from a Google Sheet Processes keywords in batches to prevent rate limiting Uses an AI agent (OpenAI) to analyze each keyword and determine if it contains a reference to an IT service/software Updates the original Google Sheet with the results in a "Service?" column Continues processing until all keywords are analyzed Set up steps Connect your Google Sheets account credentials Set the Google Sheet document ID (currently using "Copy of Sheet1 1") Configure the OpenAI API credentials for the AI agent Adjust the batch size (currently 6) if needed based on your API rate limits Ensure the Google Sheet has the required columns: "Number", "Keyword", and "Service?" The AI agent's prompt is highly customizable to match different identification needs. For example, instead of looking for IT software/services, you could modify the prompt to identify: Industry-specific terms (healthcare, finance, education) Geographic references (cities, countries, regions) Product categories (electronics, clothing, food) Competitor brand mentions Here's how you could modify the prompt for different use cases: Copy // For identifying educational content keywords "Check the keyword I provided and define if this keyword relates to educational content, courses, or learning materials and return yes or no." // For identifying local service keywords "Check the keyword I provided and determine if it contains location-specific terms (city names, neighborhoods, regions) that suggest local service intent and return yes or no." // For identifying competitor mentions "Check the keyword I provided and determine if it mentions any of our competitors (CompetitorA, CompetitorB, CompetitorC) and return yes or no." `
by Friedemann Schuetz
Welcome to my AI Social Media Caption Creator Workflow! What this workflow does This workflow automatically creates a social media post caption in an editorial plan in Airtable. It also uses background information on the target group, tonality, etc. stored in Airtable. This workflow has the following sequence: Airtable trigger (scan for new records every minute) Wait 1 Minute so the Airtable record creator has time to write the Briefing field retrieval of Airtable record data AI Agent to write a caption for a social media post. The agent is instructed to use background information stored in Airtable (such as target group, tonality, etc.) to create the post. Format the output and assign it to the correct field in Airtable. Post the caption into Airtable record. Requirements Airtable Database: Documentation AI API access (e.g. via OpenAI, Anthropic, Google or Ollama) Example of an editorial plan in Airtable: Editorial Plan example in Airtable For this workflow you need the Airtable fields "created_at", "Briefing" and "SoMe_Text_AI" Feel free to contact me via LinkedIn, if you have any questions!
by Zacharia Kimotho
This is an example of how we can build a slack bot in a few easy steps Before you can start, you need to o a few things Create a copy of this workflow Create a slack bot Create a slash command on slack and paste the webhook url to the slack command Note Make sure to configure this webhook using a https:// wrapper and don't use the default http://localhost:5678 as that will not be recognized by your slack webhook. Once the data has been sent to your webhook, the next step will be passing it via an AI Agent to process data based on the queries we pass to our agent. To have some sort of a memory, be sure to set the slack token to the memory node. This way you can refer to other chats from the history. The final message is relayed back to slack as a new message. Since we can not wait longer than 3000 ms for slack response, we will create a new message with reference to the input we passed. We can advance this using the tools or data sources for it to be more custom tailored for your company. Usage To use the slackbot, go to slack and click on your set slash command eg /Bob and send your desired message. This will send the message to your endpoint and get return the processed results as the message. If you would like help setting this up, feel free to reach out to zacharia@effibotics.com
by Agent Circle
This workflow demonstrates how to automate live information gathering, fact-checking, and trend analysis in response to any chat message - using a powerful AI agent, memory, and a real-time search tool. Use cases are many: This is perfect for researchers needing instant, up-to-date data; support teams providing live, accurate answers; content creators looking to verify facts or find hot topics; and analysts automating regular reports with the freshest information. How It Works The workflow is triggered whenever a chat message is received (e.g., a user question, research prompt, or data request). The message is sent to the AI Agent, which follows the following steps: First, it queries SerpAPI – Research to gather the latest real-time information and data from the web. Next, it checks the Window Buffer Memory for any related past interactions or contextual information that may be useful. Finally, it sends all collected data and context to the Google Gemini Chat Model, which analyzes the information and generates a comprehensive, intelligent response. Then, the AI Agent delivers the analyzed, up-to-date answer directly in the chat, combining live data, context, and expert analysis. How To Set Up Download and import the workflow into your n8n workspace. Set up API credentials and tool access for the AI Agent: Google Gemini (for chat-based intelligence) → connected to Node Google Gemini Chat Model. SerpAPI (for real-time web and search results) → connected to Node SerpAPI - Research. Window Buffer Memory (for richer, context-aware conversations) → connected to Node Window Buffer Memory. Open the chat in n8n and type the topic or trend you want to research. Send the message and wait for the process to complete. Receive the AI-powered research reply in the chat box. Requirements An n8n instance (self-hosted or cloud). SerpAPI** credentials for live web search and data gathering. Window Buffer Memory** configured to provide relevant conversation context in history. Google Gemini API** access to analyze collected data and generate responses. How To Customize Choose your preferred AI model: Replace **Google Gemini with OpenAI ChatGPT, or any other chat model as preferred. Add or change memory: Replace **Window Buffer Memory with more advanced memory options for deeper recall. Connect your preferred chat platform**: Easily swap out the default chat integration for Telegram, Slack, or any other compatible messaging platform to trigger and interact with the workflow. Need Help? If you’d like this workflow customized, or if you’re looking to build a tailored AI Agent for your own business - please feel free to reach out to Agent Circle. We’re always here to support and help you to bring automation ideas to life. Join our community on different platforms for assistance, inspiration and tips from others. Website: https://www.agentcircle.ai/ Etsy: https://www.etsy.com/shop/AgentCircle Gumroad: http://agentcircle.gumroad.com/ Discord Global: https://discord.gg/d8SkCzKwnP FB Page Global: https://www.facebook.com/agentcircle/ FB Group Global: https://www.facebook.com/groups/aiagentcircle/ X: https://x.com/agent_circle YouTube: https://www.youtube.com/@agentcircle LinkedIn: https://www.linkedin.com/company/agentcircle
by Trung Tran
🤖 Smart Interview Assistant: Tailored Questions Based on CV, JD, and Round Watch the demo video below: 📌 Who’s it for This workflow is designed for: Recruiters* and *Talent Acquisition Specialists** who want to automate candidate interview prep. Hiring Managers** conducting multiple interviews and needing personalized question sets. Technical Interviewers** who want to save time and be well-prepared with relevant questions. ⚙️ How it works / What it does The Smart Interview Assistant automates the interview preparation process in a few clicks: Accepts: Multiple resumes (PDFs) Selected job role Chosen interview round Extracts structured data from: The candidate’s CV The corresponding Job Description (JD) Uses GPT-4 to analyze: Candidate profile Role requirements Interview round context Generates: Tailored interview questions Expected answers A summarized interview prep report Sends the report directly to the hiring team via email (SMTP) 📁 Google Drive Structure 📂 Root Folder ├── 📁 jd/ # Stores all job descriptions in PDF format │ ├── Backend_Engineer.pdf │ ├── Azure_DevOps_Lead.pdf │ └── ... └── 📄 Positions (Google Sheet) # Maps Job Role ↔ JD File Link 📝 Sample Mapping Sheet: Positions Sheet Columns: Job Role Job Description File URL (pointing to PDF in jd/ folder) 🛠️ How to Set Up Step 1: Configure API Integrations ✅ Connect your OpenAI GPT-4 API Key ✅ Enable Google Cloud APIs: Google Sheets API (to read job roles) Google Drive API (to access CV and JD files) ✅ Set up SMTP credentials (for email delivery) Step 2: Prepare Google Drive & Mapping Sheet Create a root folder on Google Drive Inside the root folder: Create a folder named /jd/ and upload all job descriptions (PDFs) Create a Google Sheet named Positions with the following format: | Job Role | Job Description File URL | |-----------------------------|--------------------------------------------| | Azure DevOps Engineer | https://drive.google.com/xxx/jd1.pdf | | Full-Stack Developer (.NET) | https://drive.google.com/xxx/jd2.pdf | Step 3: Build the Application Form Use any form tool (e.g., Typeform, Tally, or custom HTML) that collects: 📎 Resume file (PDF) 🧾 Job Role (dropdown) 🔄 Interview Round (dropdown) Step 4: Resume & JD Extraction 🔍 Use Extract from PDF to parse the resume content 📄 Retrieve the JD link from the Positions sheet based on the selected Job Role 🔗 Use Download file to pull the PDF for processing Step 5: Analyze with GPT-4 Run both Resume and JD through a Profile Analyzer Agent (GPT-4 with JSON output) Merge results Add manual input or mapping for the Interview Round metadata Step 6: Generate Interview Report Use a second GPT-4 agent (e.g., HR Expert Agent) to: Generate 6–8 tailored interview questions Include expected answers and rationale Step 7: Deliver Final Report Format the content as: 📄 PDF (optional) 📨 Email body Send the report to the recruiter, hiring manager, or interviewer via SMTP ✅ Requirements 🔑 OpenAI GPT-4 API Key 📁 Google Drive (for resume and JD storage) 📊 Google Sheet (job role mapping) 📬 SMTP credentials (host, username, password) 🧰 n8n self-hosted or cloud instance with: PDF Parser Google Sheets node HTTP Download node Email node ✏️ How to Customize the Workflow | Part | Customization Options | |----------------------------|-------------------------------------------------------------| | Form UI | Modify the design, dropdown options, or input validations | | Job Description Source | Replace Google Sheet with Notion, Airtable, or database | | Interview Metadata | Add job level, region, or language preference | | AI Prompt Tuning | Adjust prompt phrasing or temperature in GPT nodes | | Report Format | Generate PDF instead of email body using PDF node | | Delivery Method | Add internal HR portal webhook or generate downloadable link |
by Sateesh
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. AI-Powered LinkedIn Publishing via Telegram Workflow Transform your LinkedIn presence with this intelligent n8n workflow that converts simple Telegram messages into professional LinkedIn posts through AI-powered content generation and approval workflows. 🎯 Who Is This For? Content Creators & Influencers** seeking to maintain consistent LinkedIn presence Marketing Professionals** managing multiple client accounts Business Owners** wanting to automate thought leadership content Social Media Managers** streamlining content workflows Entrepreneurs** maximizing content efficiency while maintaining quality 🚀 Benefits Time Efficiency**: Reduces content creation time by 80-90% Quality Consistency**: Maintains professional standards across all posts Content Diversity**: Leverages multiple sources for rich, varied content Real-Time Relevance**: Incorporates latest industry trends and news Approval Control**: Human oversight ensures brand alignment Scalability**: Handles multiple users and high-volume content creation 🔧 Core Features Smart Content Classification Multi-Input Processing**: Handles URLs, topics, direct content, or combinations Intelligent Routing**: Automatically determines whether to scrape, search, or generate directly Context Preservation**: Maintains original user intent throughout the process Advanced Content Gathering Web Scraping**: Firecrawl integration for extracting article content from URLs Real-Time Search**: Brave Search API for latest industry trends and news Content Synthesis**: Merges multiple sources into coherent, valuable insights AI-Powered Content Generation Google Gemini Integration**: Creates professional, LinkedIn-optimized posts Platform-Specific Formatting**: Mobile-friendly paragraphs, engaging hooks, strategic CTAs SEO Optimization**: Relevant hashtags and keyword integration Character Management**: Ensures posts stay within LinkedIn's 2800 character limit Interactive Approval System Telegram Preview**: Rich preview with post analytics and formatting Action Buttons**: Approve, Edit, or Reject with single-click convenience Edit Workflow**: AI-powered rewriting based on user feedback Real-Time Updates**: Instant feedback and status notifications Comprehensive Content Tracking Google Sheets Integration**: Complete audit trail of all posts and content metrics Content Analytics**: Character counts, hashtag usage, source attribution User Authorization**: Secure access control with authorized user validation Post Management**: Unique ID generation for tracking and reference 🔄 How It Works Message Reception: Secure Telegram trigger with user validation Content Classification: AI analyzes input type and extracts actionable elements Dynamic Routing: Intelligent branching based on content requirements: URL Path: Web scraping → content extraction → processing Topic Path: Web search → latest information gathering → synthesis Direct Path: Immediate processing for ready-to-post content Content Synthesis: Merges all gathered information into comprehensive context AI Generation: Creates LinkedIn-optimized post with professional formatting Interactive Approval: Telegram preview with approval workflow Publishing: Direct LinkedIn posting upon approval Content Logging: Complete tracking in Google Sheets 📈 Use Cases Daily Industry Updates: Transform news URLs into thought leadership posts Content Repurposing: Convert articles and research into LinkedIn insights Trend Commentary: Generate posts about trending topics with real-time data Educational Content: Create informative posts from technical documentation Personal Branding: Maintain consistent professional presence with minimal effort 🛠️ Technical Requirements Required Community Nodes Install these community nodes in your n8n instance: Brave Search Integration @brave/n8n-nodes-brave-search Firecrawl Web Scraping @mendable/n8n-nodes-firecrawl LangChain AI Integration @n8n/n8n-nodes-langchain APIs & Services Required Google Gemini (Content generation and classification) Firecrawl API (Web scraping) Brave Search API (Real-time search) Telegram Bot API (Interface and notifications) LinkedIn API (Content publishing) Google Sheets API (Content tracking and logging) 🔑 Setup Guide 1. Telegram Bot Setup Search for @BotFather on Telegram Send /newbot and follow prompts Copy the bot token Send /setprivacy to BotFather and set to Disable 2. Google Gemini API Visit Google AI Studio Sign in and click "Get API Key" → "Create API Key" Copy your API key Free tier: 60 requests per minute 3. Firecrawl API Visit Firecrawl.dev Sign up and go to Dashboard → API Keys Copy your API key Free tier: 500 pages/month 4. Brave Search API Visit Brave Search API Sign up and create application Copy subscription key Free tier: 1,000 queries/month 5. LinkedIn API Visit LinkedIn Developers Create app with required details Request "Share on LinkedIn" product Copy Client ID and Client Secret Add redirect URL: https://your-n8n-domain.com/rest/oauth2-credential/callback 6. Google Sheets API Visit Google Cloud Console Enable Google Sheets API Create OAuth 2.0 Client ID Copy Client ID and Client Secret 🛠️ Installation Steps Phase 1: Preparation Install required community nodes Restart n8n after installation Create Google Sheet for logging Set up Telegram Bot Phase 2: Import and Configure Import workflow JSON in n8n Configure all API credentials Test each connection Phase 3: Customization Update authorized user ID in "Authorized Telegram Users" node Configure Google Sheets document ID Test Telegram connection Phase 4: Testing Test with different input types: URL only: https://example.com/article Topic only: artificial intelligence trends Mixed: AI trends https://example.com/ai-news 🎨 Customization Options Content Personalization Modify AI prompts to match your brand voice Adjust content length and formatting preferences Customize hashtag strategies and CTA approaches Configure approval workflow steps Source Integration Add additional search engines or content sources Integrate with RSS feeds or news APIs Connect to internal knowledge bases Customize web scraping parameters 🔒 Security Features User Authorization**: Whitelist-based access control Secure Token Management**: Encrypted API key handling Data Privacy**: Secure processing of scraped content Audit Trail**: Complete logging of all user interactions 🔮 Future Expansion Possibilities This workflow serves as a foundation for: Performance Analytics Module**: LinkedIn engagement tracking Content Optimization Engine**: A/B testing and refinement Multi-Platform Publishing**: Expand to Twitter, Facebook, Instagram Advanced Scheduling**: Time-optimized posting Content Series Management**: Automated follow-ups 💡 Why Choose This Workflow This represents a complete LinkedIn content automation solution that maintains quality and personal touch while dramatically reducing time and effort. Perfect for professionals who want to maximize LinkedIn impact without sacrificing content quality or spending hours on manual creation. Ready to transform your LinkedIn presence? Install this workflow and start automating your professional content creation today!
by John Alejandro SIlva
🤖📨 Telegram AI Assistant with Multi-File Media Group Handling, Smart File Processing & PostgreSQL Integration > AI-powered Telegram bot for text, voice, video, documents & media — with database-driven grouping and Telegram-safe formatting. 📋 Description This n8n template creates a next-generation Telegram AI assistant 🧠💬 capable of handling text messages, media files, and documents with advanced processing, PostgreSQL integration, and AI-powered responses. It is designed to solve Telegram’s media group challenge 📦 — when multiple files are sent together, they are stored, processed, and combined into one coherent AI-generated reply. ✨ Key Features 📂 Multi-file media group management with PostgreSQL: media_group media_queue chat_histories 📑 Document parsing for CSV, HTML, ICS, JSON, ODS, PDF (with AI fallback), RTF, TXT, XML, and spreadsheets. 🎤 Voice & video transcription for AI analysis. 🖼️ Image, audio, and video description for richer AI context. 🛡️ Telegram-safe MarkdownV2 formatting with auto-splitting for messages over 4096 chars. ⚠️ Error fallback for unsupported file types. 💡 Acknowledgment A huge thank you to Ezema Gingsley Chibuzo 🙌 for the inspiration of the first version of this workflow: Create a Multi-Modal Telegram Support Bot with GPT-4 and Supabase RAG Your pioneering work laid the foundation for this improved, database-powered multi-modal assistant 🚀 🏷 Tags telegram ai-assistant postgresql multi-file media-group file-processing voice-transcription document-parser pdf-extraction markdown-formatting n8n-template 💼 Use Case Use this template if you need an AI-powered Telegram bot that can: 📦 Handle multiple files sent in a single message (albums, multiple PDFs, etc.). 🧾 Extract & analyze content from many file formats. 🎙️ Transcribe voice and video messages. 🗂️ Maintain chat memory for contextual AI answers. 🛡️ Avoid Telegram formatting errors and length limit issues. This workflow automates the full chain: Receive → Process → AI Analysis → Telegram-safe Reply. 💬 Example User Interactions 📄 Multiple PDFs with a caption** → AI extracts and summarizes all PDFs in one combined reply. 🎤 Voice message** → AI transcribes and replies with a contextual answer. 📊 CSV or spreadsheet file** → AI parses and summarizes the data. 🖼️ Multiple images** → AI describes each image and replies in a single message. 🔑 Required Credentials Telegram Bot API** (Bot Token) PostgreSQL** (Connection credentials) AI Provider API** (OpenAI, Google Gemini, or compatible LLM) ⚙️ Setup Instructions 🗄️ Create the PostgreSQL tables (Gray section SQL): media_group media_queue chat_histories 🔌 Configure the Telegram Trigger with your bot token. 🤖 Connect your AI provider credentials. 🗂️ Set up PostgreSQL credentials in the database nodes. ▶️ Deploy the workflow in n8n. 🎯 Start sending messages and files to your bot. 📌 Extra Notes ✅ Green section ensures only one trigger per media group. 📌 Yellow section guarantees captions and files are stored in the correct sequence. ✨ Purple section formats AI output to be Telegram-safe and split if needed. 🧠 AI prompt is not fixed, allowing full customization. 💡 Need Assistance? If you’d like help customizing or extending this workflow, feel free to reach out: 📧 Email: johnsilva11031@gmail.com 🔗 LinkedIn: John Alejandro Silva Rodríguez
by Yaron Been
🚀 Automated Founder Discovery: CrunchBase to Gmail Outreach Workflow! Workflow Overview This cutting-edge n8n automation is a sophisticated founder intelligence and outreach tool designed to transform startup research into actionable networking opportunities. By intelligently connecting CrunchBase, OpenAI, and Gmail, this workflow: Discovers Startup Founders: Automatically retrieves founder profiles Tracks latest company updates Eliminates manual research efforts Intelligent Profile Processing: Extracts key professional information Filters most relevant details Prepares comprehensive founder insights AI-Powered Summarization: Generates professional email-ready summaries Crafts personalized outreach content Ensures high-quality communication Seamless Email Distribution: Sends automated founder digests Integrates with Gmail Enables rapid professional networking Key Benefits 🤖 Full Automation: Zero-touch founder research 💡 Smart Profiling: Intelligent founder insights 📊 Comprehensive Intelligence: Detailed professional summaries 🌐 Multi-Platform Synchronization: Seamless data flow Workflow Architecture 🔹 Stage 1: Founder Discovery Manual Trigger**: Workflow initiation CrunchBase API Integration**: Profile retrieval Intelligent Filtering**: Identifies key startup founders Prepares for detailed analysis 🔹 Stage 2: Profile Extraction Detailed Information Capture** Key Field Mapping** Structured Data Preparation** 🔹 Stage 3: AI Summarization OpenAI GPT Processing** Professional Summary Generation** Contextual Insight Creation** 🔹 Stage 4: Email Distribution Gmail Integration** Automated Outreach** Personalized Communication** Potential Use Cases Venture Capitalists**: Startup scouting Sales Teams**: Lead generation Recruitment Specialists**: Talent discovery Networking Professionals**: Strategic connections Startup Ecosystem Researchers**: Market intelligence Setup Requirements CrunchBase API API credentials Configured access permissions Founder tracking setup OpenAI API GPT model access Summarization configuration API key management Gmail Account Connected email Outreach email configuration Appropriate sending permissions n8n Installation Cloud or self-hosted instance Workflow configuration API credential management Future Enhancement Suggestions 🤖 Advanced founder scoring 📊 Multi-source intelligence gathering 🔔 Customizable alert mechanisms 🌐 Expanded networking platform integration 🧠 Machine learning insights generation Technical Considerations Implement robust error handling Use secure API authentication Maintain flexible data processing Ensure compliance with API usage guidelines Ethical Guidelines Respect professional privacy Maintain transparent outreach practices Ensure appropriate communication Provide opt-out mechanisms Hashtag Performance Boost 🚀 #StartupNetworking #FounderDiscovery #AIOutreach #ProfessionalNetworking #TechInnovation #BusinessIntelligence #AutomatedResearch #StartupScouting #ProfessionalGrowth #NetworkingTech Workflow Visualization [Manual Trigger] ⬇️ [Updated Profiles List] ⬇️ [Founder Profiles] ⬇️ [Extract Key Fields] ⬇️ [AI Summarization] ⬇️ [Send Email] Connect With Me Ready to revolutionize your professional networking? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your founder research with intelligent, automated workflows!
by Yaron Been
Workflow Overview This sophisticated n8n automation is a powerful LinkedIn engagement and networking tool designed to revolutionize professional social media interaction. By intelligently combining web scraping, AI, and automation technologies, this workflow: Discovers Relevant Content: Automatically scrapes LinkedIn posts Identifies target profiles and recent content Ensures consistent networking opportunities Generates Intelligent Interactions: Uses AI to craft contextual, professional comments Ensures human-like, valuable engagement Maintains professional tone and relevance Automates Engagement Process: Likes and comments on selected posts Increases visibility and connection potential Builds professional network systematically Comprehensive Activity Tracking: Logs all interactions in Google Sheets Provides transparent engagement history Enables performance analysis and optimization Key Benefits 🤖 Full Automation: Consistent daily networking 💡 AI-Powered Interactions: Intelligent, context-aware engagement 📊 Detailed Tracking: Comprehensive interaction logging 🌐 Professional Visibility: Strategic online presence management Workflow Architecture 🔹 Stage 1: Content Discovery Scheduled Trigger**: Daily post scanning Phantombuster Integration**: LinkedIn post scraping Targeted Profile Research**: Identifies recent posts Extracts critical post metadata 🔹 Stage 2: AI-Powered Interaction OpenAI GPT Model**: Generates contextual comments Intelligent Analysis**: Understands post content Crafts personalized responses Professional Tone Maintenance** 🔹 Stage 3: Engagement Automation Automated Liking**: Increases post visibility Intelligent Commenting**: Posts AI-generated comments Ensures meaningful interaction 🔹 Stage 4: Performance Logging Google Sheets Integration** Comprehensive Activity Tracking** Interaction History Preservation** Potential Use Cases Sales Professionals**: Lead generation and networking Marketers**: Increased brand visibility Recruiters**: Talent discovery and engagement Entrepreneurs**: Professional network expansion Content Creators**: Audience interaction and growth Setup Requirements Phantombuster Account API key Configured LinkedIn scraping agents Profile URL list OpenAI API GPT model access API key for comment generation Preferred language model 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 sentiment analysis 📊 Engagement performance metrics 🎯 Intelligent post targeting 🔍 Machine learning optimization 🌐 Multi-platform support Technical Considerations Implement robust error handling Use exponential backoff for API calls Maintain flexible engagement strategies Ensure compliance with platform guidelines Ethical Guidelines Respect professional networking etiquette Maintain genuine, value-adding interactions Avoid spammy or repetitive engagement Prioritize quality over quantity Connect With Me Ready to revolutionize your professional networking? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your LinkedIn strategy with intelligent, automated workflows! #LinkedInAutomation #AINetworking #ProfessionalGrowth #CareerStrategy #NetworkingTech #AIMarketing #ProfessionalDevelopment #SocialMediaStrategy #ContentEngagement #BusinessIntelligence
by Yaron Been
Scrape Competitor Reviews & Generate Ad Creatives with Bright data and OpenAI How the Flow Runs Fill the Form Enter the Amazon product URL to analyze competitor reviews. Trigger Bright Data Scraper Bright Data scrapes Amazon reviews based on the provided URL. Wait for Snapshot Completion Periodically checks Bright Data until the scraping is complete. Retrieve JSON Data Collects the scraped review data in JSON format. Save Reviews to Google Sheets Automatically appends the scraped reviews to your Google Sheets. Aggregate Reviews Consolidates all reviews into a single summary for simpler analysis. Analyze Reviews with OpenAI LLM Sends the aggregated reviews to OpenAI (GPT-4o mini) to summarize competitors’ main weaknesses clearly. Generate Creative Ad Image OpenAI generates a visually appealing 1080x1080 ad image addressing these identified pain points. Send Ad Creative via Gmail Automatically emails the creative and review summary to your media buying team for immediate use in Meta ads. What You Need Google Sheets:** Template Bright Data:** Dataset and API key: www.brightdata.com OpenAI API Key:** For GPT-4o mini or your preferred LLM Automation Tool:** Ensure it supports HTTP Requests, Wait, Conditional (If), Google Sheets integration, Form Trigger, OpenAI integration, and Gmail integration. Form Fields to Fill Amazon Product URL:** Enter the competitor’s product URL from Amazon. Setup Steps Copy the provided Google Sheet template. Import the JSON workflow into your automation tool. Update credentials for Bright Data, Google Sheets, Gmail, and OpenAI. Test manually by submitting the form and verifying functionality. Optional: Set a schedule for regular workflow execution. Bright Data Trigger Example [ { "url": "https://www.amazon.com/example-product" } ] Tips Frequently update URLs to ensure fresh insights. Allow more wait time for extensive data scrapes. Focus on targeted products to optimize cost-efficiency. Need Help? Email: Yaron@nofluff.online Resources: YouTube: https://www.youtube.com/@YaronBeen/videos LinkedIn: https://www.linkedin.com/in/yaronbeen/ Bright Data Documentation: https://docs.brightdata.com/introduction
by Yaron Been
Automated outreach system that identifies and contacts potential leads from CrunchBase with personalized, timely messages. 🚀 What It Does Identifies target companies and contacts Personalizes email content Schedules follow-ups Tracks responses Integrates with email providers 🎯 Perfect For Sales development reps Business development teams Startup founders Investment professionals Partnership managers ⚙️ Key Benefits ✅ Automated lead generation ✅ Personalized outreach at scale ✅ Follow-up automation ✅ Response tracking ✅ Time-saving workflow 🔧 What You Need CrunchBase API access Email service (e.g., Gmail, SendGrid) n8n instance CRM (optional) 📊 Features Contact information extraction Email template personalization Send time optimization Open/click tracking Response handling 🛠️ Setup & Support Quick Setup Start sending in 30 minutes with our step-by-step guide 📺 Watch Tutorial 💼 Get Expert Support 📧 Direct Help Transform your outbound sales process with automated, personalized outreach to high-quality leads from CrunchBase.
by Yaron Been
🚀 AI-Powered YouTube Video Summary Distributor: From Channel to Community! Workflow Overview This sophisticated n8n automation transforms YouTube content discovery into a seamless, multi-platform intelligence sharing process. By intelligently connecting YouTube RSS, AI summarization, and content distribution platforms, the workflow: Discovers New Content: Monitors YouTube channels via RSS feed Captures latest video uploads Tracks content in real-time AI-Powered Summarization: Extracts video metadata Generates concise, meaningful summaries Leverages GPT-4o for intelligent content analysis Intelligent Distribution: Logs summaries in Google Sheets Sends summaries to Slack for review Publishes approved content to Reddit Detailed Setup Instructions 1. YouTube Data API Configuration Prerequisites Google Cloud Console account Enabled YouTube Data API v3 Setup Steps: Go to Google Cloud Console Create a new project Enable YouTube Data API v3 Create credentials (API Key) Store API key securely in n8n credentials Obtain channel RSS feed URL 2. OpenAI API Setup Prerequisites OpenAI account Active API subscription Configuration: Visit OpenAI Platform Generate API key Select GPT-4o model Configure API key in n8n credentials Set up billing and usage limits 3. Slack Integration Prerequisites Slack workspace Slack app permissions Setup Process: Create a Slack app in your workspace Configure OAuth scopes for sending messages Install app to workspace Obtain webhook or OAuth token Configure in n8n Slack node 4. Reddit API Configuration Prerequisites Reddit account Reddit application created Steps: Go to Reddit's app preferences Create a new application Obtain client ID and secret Configure OAuth2 credentials in n8n Select target subreddit Workflow Customization Channel Modification Replace YouTube RSS feed URL in trigger node Adjust channel_id parameter Modify extraction logic if needed Subreddit Customization Change subreddit parameter in Reddit node Adjust title and text formatting AI Summarization Tuning Modify system message in Summarizer Agent Adjust prompt for different content types Implement custom filtering Key Customization Points Modify RSS feed URL Change target subreddit Adjust AI summarization prompt Add custom filtering logic Implement multi-channel support Technical Requirements n8n v0.220.0 or higher YouTube Data API v3 OpenAI API access Slack workspace Reddit application Stable internet connection Potential Use Cases Content creator content tracking Research and trend analysis Social media content distribution Automated content curation Community engagement Security Considerations Use environment variables for API keys Implement proper OAuth2 authentication Respect platform usage guidelines Maintain user privacy Future Enhancement Roadmap Multi-language support Advanced content filtering Sentiment analysis integration Expanded platform distribution Customizable summarization parameters Workflow Visualization [YouTube RSS Trigger] ⬇️ [Extract Channel ID] ⬇️ [Fetch Video Details] ⬇️ [AI Summarization] ⬇️ [Google Sheets Logging] ⬇️ [Slack Approval] ⬇️ [Reddit Publishing] Hashtag Performance Boost 🚀 #YouTubeAutomation #AIContentDistribution #WorkflowInnovation #ContentCuration #AIMarketing #DigitalMediaTech #AutomatedSummaries #CrossPlatformContent Connect With Me Ready to revolutionize your content workflow? 📧 Email: Yaron@nofluff.online 🎥 YouTube: @YaronBeen 💼 LinkedIn: Yaron Been Transform your content strategy with intelligent, automated workflows! Note: Always test and customize the workflow to fit your specific use case and comply with platform guidelines.