OpenAI workflow'ları
630 sonuç — tümü kaynağa bağlı n8n referansı
Create a Complete AI Engineering Department with OpenAI O3 and Specialized Agents
CTO Agent with Engineering Team Description Complete AI-powered engineering department with a Chief Technology Officer (CTO) agent orchestrating specialized engineering team members for comprehensive software development and technical operations. Overview This n8n workflow creates a comprehensive engineering department using AI agents. The CTO agent analyzes technical requests and delegates tasks to specialized agents for software architecture, DevOps, security, quality assurance, backend development, and frontend development. Features Strategic CTO agent using OpenAI O3 for complex technical decision-making Six specialized engineering agents powered by GPT-4.1-mini for efficient execution Complete software development lifecycle coverage from architecture to deployment Automated DevOps pipelines and infrastructure management Security assessments and compliance frameworks Quality assurance and test automation strategies Full-stack development capabilities Team Structure CTO Agent**: Technical leadership and strategic delegation (O3 model) Software Architect Agent**: System design, patterns, technology stack decisions DevOps Engineer Agent**: CI/CD pipelines, infrastructure automatio
Create Multi-Channel Content with O3 Director & GPT-4 Specialist Agents
Create Multi-Channel Content with O3 Director & GPT-4 Specialist Agents This n8n workflow creates a complete AI-powered content department. It starts when a chat request is received, then a Content Director Agent (powered by OpenAI O3) analyzes the request and delegates tasks to specialized agents (blogs, social, video, email, website, strategy). Each agent is powered by GPT-4.1-mini, keeping costs low and quality high. ✅ 📩 Section 1: Trigger & Director Setup ⚙️ Nodes 1️⃣ When Chat Message Received What it does:** Starts the workflow whenever a user sends a content request. Why it’s useful:** Allows real-time or on-demand content creation from chat inputs. 2️⃣ Content Director Agent (O3) What it does:** Analyzes user request, defines the best content mix, and delegates tasks to specialist agents. Why it’s useful:** Keeps your brand voice consistent and ensures all channels align to a unified content strategy. 💡 Beginner Benefit ✅ Single entry point → just type your content idea once ✅ AI Director coordinates everything for you ✅ No need to manage multiple tools ✅ 👥 Section 2: Specialist Content Agents Each request gets routed to one (or several) of these agents, depending on the
Multi-Agent Cold Email Campaign Generator with O3 Director & GPT-4.1 Specialists
Multi-Agent Cold Email Campaign Generator with O3 Director & GPT-4.1 Specialists 🌍 Overview This workflow simulates a virtual sales & marketing team where each AI agent has a role: A Director Agent (O3) who manages strategy. Multiple Specialist Agents (GPT-4.1-mini) for research, writing, personalization, deliverability, sequencing, and analytics. Everything is triggered automatically when a new chat message request comes in. 🟢 Section 1: Entry & Director 🔗 Nodes: 1️⃣ When chat message received (Trigger) 💬 Starts the workflow when a new request arrives (e.g., “Create a cold email campaign for SaaS CTOs”). 2️⃣ Outreach Director Agent (O3 model) 🎯 The “manager” agent. Decides what kind of campaign is needed and assigns tasks. 3️⃣ Think (Planning Node) 🧠 Helps the Director structure thoughts before delegating. 💡 Why useful? Director uses O3 (strong reasoning model) only where strategy is needed → reduces cost. Provides a single point of control to coordinate all other agents. 🔵 Section 2: Specialist Agents Each is powered by GPT-4.1-mini (cheaper + faster). 🔍 Prospect Research Specialist → researches target companies, roles, pain points. ✍️ Cold Email Copywriter → drafts subj
Comprehensive SEO Strategy with O3 Director & GPT-4 Specialist Team
Comprehensive SEO Strategy with O3 Director & GPT-4 Specialist Team Trigger When chat message received → User submits an SEO request (e.g., “Help me rank for project management software”). The message goes straight to the SEO Director Agent. SEO Director Agent (O3) Acts like the head of SEO strategy. Uses the Think node to plan and decide which specialists to call. Delegates tasks to relevant agents. Specialist Agents (GPT-4.1-mini) Each agent has its own OpenAI model connection for lightweight cost-efficient execution. Tasks include: Keyword Research Specialist → Keyword discovery, clustering, competitor analysis. SEO Content Writer → Generates optimized blog posts, landing pages, etc. Technical SEO Specialist → Site audit, schema markup, crawling fixes. Link Building Strategist → Backlink strategies, outreach campaign ideas. Local SEO Specialist → Local citations, GMB optimization, geo-content. Analytics Specialist → Reports, performance insights, ranking metrics. Feedback Loop Each agent sends results back to the SEO Director. Director compiles insights into a comprehensive SEO campaign plan. ✅ Why This Setup Works Well O3 Model for Director** → Handles reasoning-heavy orchestra
Automate Financial Operations with O3 CFO & GPT-4.1-mini Finance Team
Automate Financial Operations with O3 CFO & GPT-4.1-mini Finance Team This workflow builds a virtual finance department inside n8n. At the center is a CFO Agent (O3 model) who acts like a strategic leader. When a financial request comes in, the CFO interprets it, decides the strategy, and delegates to the specialist agents (each powered by GPT-4.1-mini for cost efficiency). 🟢 Section 1 – Entry & Leadership Nodes: 💬 When chat message received → Entry point for user financial requests. 💼 CFO Agent (O3) → Acts as the Chief Financial Officer. Interprets the request, decides the approach, and delegates tasks. 💡 Think Tool → Helps the CFO brainstorm and refine financial strategies. 🧠 OpenAI Chat Model CFO (O3) → High-level reasoning engine for strategic leadership. ✅ Beginner view: Think of this as your finance CEO’s desk — requests land here, the CFO figures out what needs to be done, and the right specialists are assigned. 📊 Section 2 – Specialist Finance Agents Each specialist is powered by GPT-4.1-mini (fast + cost-effective). 📈 Financial Planning Analyst → Builds budgets, forecasts, and financial models. 📚 Accounting Specialist → Handles bookkeeping, tax prep, and compliance
Maximize Customer Success with O3 and GPT-4.1-mini Multi-Agent AI Team
🌟 AI-05: CCO Customer Success Team - Multi-Agent AI Workflow 📋 Overview Transform your customer success operations with this comprehensive AI-powered workflow featuring a strategic Chief Customer Officer (CCO) agent and six specialized customer success agents. This multi-agent system handles everything from onboarding to retention, ensuring maximum customer satisfaction and revenue expansion. 🔗 Links: YouTube Channel**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Website**: https://nofluff.online ⚙️ How It Works Customer Success Request: Chat interface receives requests like "Create a comprehensive onboarding program for enterprise customers" CCO Strategic Analysis: O3-powered CCO agent analyzes customer lifecycle and determines optimal success strategy Specialist Delegation: Work distributed to 6 specialized agents for execution Comprehensive Output: Integrated customer success deliverables with actionable recommendations 👥 Meet Your AI Customer Success Team | Agent | Specialization | Model | Primary Output | |-------|----------------|-------|---------------| | 🌟 CCO Agent | Customer success strategy & retention oversight | O3
Comprehensive Legal Department Automation with OpenAI O3 CLO & Specialist Agents
CLO Agent with Legal Team Description Navigate legal complexities with an AI-powered Chief Legal Officer (CLO) agent orchestrating specialized legal team members for comprehensive legal operations and risk management. Overview This n8n workflow creates a comprehensive legal department using AI agents. The CLO agent analyzes legal requirements and delegates tasks to specialized agents for contract management, compliance, intellectual property, privacy law, corporate governance, and employment law. ⚠️ IMPORTANT DISCLAIMER: These AI agents provide legal information and templates, NOT legal advice. Always consult qualified legal professionals for binding legal matters. This workflow does not create attorney-client privilege or provide professional legal liability coverage. Building Blocks Approach This workflow provides foundational AI agents as building blocks for your legal operations. Feel free to: Customize agent prompts to match your industry and legal requirements Add relevant legal tools and integrations (contract management, compliance platforms) Modify specialist focus areas based on your specific legal needs Integrate with legal research databases and document management syst
Build Products with CPO-Led AI Team using OpenAI O3 and GPT-4.1-mini Agents
CPO Agent with Product Team Description Streamline product development with an AI-powered Chief Product Officer (CPO) agent orchestrating specialized product team members for comprehensive product strategy and execution. Overview This n8n workflow creates a comprehensive product development department using AI agents. The CPO agent analyzes product opportunities and delegates tasks to specialized agents for product management, UX design, user research, analytics, documentation, and strategic planning. Features Strategic CPO agent using OpenAI O3 for complex product strategy and decision-making Six specialized product agents powered by GPT-4.1-mini for efficient execution Complete product lifecycle coverage from ideation to launch Automated user research and persona development UX/UI design specifications and wireframing Product analytics and KPI tracking Technical documentation and API specifications Team Structure CPO Agent**: Product vision and strategy coordination (O3 model) Product Manager**: Roadmaps, feature specifications, user stories, planning UX/UI Designer**: User flows, wireframes, interface design, usability User Research Specialist**: Research plans, personas, market
Build Complete Sales Department with OpenAI Multi-Agent Team & CSO Orchestration
CSO Agent with Sales Team Description Complete AI-powered sales department with a Chief Sales Officer (CSO) agent orchestrating specialized sales team members for comprehensive revenue operations and sales automation. Overview This n8n workflow creates a comprehensive sales department using AI agents. The CSO agent analyzes sales opportunities and delegates tasks to specialized agents for lead generation, copywriting, proposals, objection handling, demos, and follow-up sequences. Features Strategic CSO agent using OpenAI O3 for complex sales strategy and decision-making Six specialized sales agents powered by GPT-4.1-mini for efficient execution Complete sales funnel coverage from lead generation to deal closure Automated proposal and contract generation Objection handling playbooks and closing techniques Demo preparation and presentation materials Follow-up and nurture campaign automation Team Structure CSO Agent**: Strategic sales oversight and team coordination (O3 model) Lead Generation Specialist**: Prospecting, research, qualification, cold outreach Sales Copywriter**: Pitch decks, proposals, sales collateral, persuasive content Proposal & Contract Specialist**: Deal structur
Create a Complete HR Department with OpenAI O3 and GPT-4.1-mini Multi-Agent System
CHRO Agent with HR Team Description Complete AI-powered HR department with a Chief Human Resources Officer (CHRO) agent orchestrating specialized HR team members for comprehensive people operations. Overview This n8n workflow creates a comprehensive human resources department using AI agents. The CHRO agent analyzes HR requests and delegates tasks to specialized agents for recruitment, policy development, training, performance management, employee engagement, and compensation analysis. Features Strategic CHRO agent using OpenAI O3 for complex HR decision-making Six specialized HR agents powered by GPT-4.1-mini for efficient execution Complete HR lifecycle coverage from hiring to retention Automated policy creation and compliance documentation Performance review and goal-setting systems Employee engagement and culture initiatives Compensation analysis and benchmarking Team Structure CHRO Agent**: Strategic HR oversight and task delegation (O3 model) Recruiter Agent**: Job descriptions, candidate screening, interview questions HR Policy Writer**: Employee handbooks, policies, compliance documentation Training & Development Specialist**: Onboarding programs, learning materials Perform
Build an AI Marketing Team with OpenAI O3 and GPT-4.1-mini for Automated Content Creation
🧠 Overview This multi-agent n8n automation simulates a high-functioning marketing team. A strategic CMO agent receives your chat-based input, decides which specialist is best for the task, and delegates accordingly. Each specialist (copywriter, SEO expert, brand strategist, etc.) operates independently using fast, cost-effective GPT-4.1-mini models—resulting in parallel task execution and full-funnel marketing output with minimal human input. ⚙️ How It Works A chat message trigger listens for input (e.g. “Write a full email funnel for our SaaS launch”). The CMO Agent (powered by OpenAI O3) reads the message and determines intent, strategy, and needed outputs. It dynamically delegates tasks to the correct AI agent: Copywriter Agent Facebook Ads Specialist SEO Content Writer Email Marketer Social Media Manager Brand Voice Specialist Each agent uses a dedicated GPT-4.1-mini model to produce results instantly. Final content is returned to the user or passed along for integration with your CMS, ad platforms, or CRM. 🧰 Tools Used n8n** – Orchestrates the entire agent communication and routing logic OpenAI O3** – Advanced strategic reasoning (CMO Agent) OpenAI GPT-4.1-mini** – Fast and
SCreate Custom Reasoning Patterns for AI Agents with GraphRAG & Knowledge Ontology
Teach your AI agent HOW to think, not WHAT to think This workflow demonstrates how you can build an AI agent in n8n that uses the reasoning logic you define. So an LLM learns a way of thinking, which you can then apply to multiple problems: Make an AI chatbot that knows how to convince anybody using the "Getting to Yes" method Build an LLM workflow that uses Ray Dalio's principles to spot investment opportunities Create an AI agent crew of interdisciplinary thinkers: e.g. a specialist in psychology who gives an advice on education programmes. How it works This template uses the n8n AI agent node as an orchestrating agent that has access to a certain reasoning logic defined by an InfraNodus knowledge graph. This graph contains a list of reasoning rules (ontology), which is extracted to provide an advice that is relevant to the original prompt. It uses GraphRAG under the hood to traverse the parts of the graph relevant to the query. This advice and the reasoning logic extracted is then used by the AI agent to generate a response that is relevant to the user's query but that uses the reasoning logic provided through the graph. Here's a description step by step: The user submits a ques
Convert Unstructured Contact Data to JSON with GPT-4 for System Integration
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This n8n workflow template helps you automatically convert unstructured contact information—such as customer details copied from emails, web forms, or chat messages—into clean, structured JSON using an AI agent. What It Does: Accepts unstructured contact data via a Webhook (as form-data under the key prompt) Uses AI to intelligently extract key fields such as: Company Name First Name Last Name Address City Country Phone Fax Email Parses and formats the extracted data into a valid JSON object Prepares the output for seamless integration into systems like: Dolibarr Other ERP/CRM platforms Any service that consumes JSON via API or webhook Use Cases: Automate manual data entry from emails into your ERP system Clean and normalize contact data from various input sources Reduce human error in your customer onboarding workflows This template saves you time and ensures consistency across your business systems. Simply connect your systems and let the automation handle the rest.
Automated Company Research & Lead Enrichment with GPT-4o and Google Sheets
Supercharge your sales and marketing with this AI-powered workflow! 🚀 Stop wasting hours on manual company research. This template deploys an autonomous AI agent that takes a list of company names from a Google Sheet, scours the web to find critical information, and automatically updates your sheet with the enriched data. What it does: Reads a list of companies to research from a Google Sheet. Uses an AI agent equipped with Google Search and web scraping tools. Extracts key data points like LinkedIn URLs, pricing details, integrations, market focus (B2B/B2C), and more. Structures the output into a clean JSON object. Updates the original Google Sheet with the new information. Key Features & Customization: This workflow is built to be easily customized. You can modify the AI's prompt in the "AI company researcher" node and adjust the "Structured Output Parser" to gather any public data point you need, such as recent news, key executives, or their technology stack. Required Credentials: OpenAI Google Sheets SerpApi or ScrapingBee for search capabilities
Scheduled Instagram auto-liker with Phantombuster, GPT-4o & cookie rotation
Who’s it for Social-media managers and brands that want to keep their Instagram accounts active by automatically liking fresh posts under selected hashtags—hands-free and rate-limited. How it works / What it does Schedule Trigger runs every 2 hours at a specified minute. Select Cookie chooses a rotating Instagram session-cookie (time-slice logic). Generate Random Hashtag (GPT-4o) outputs a realistic AI/BPA hashtag. Instagram Hashtag Agent (Phantombuster) scrapes up to ENV_MAX_POSTS_PER_HASHTAG recent posts. Get Random Post selects one; duplicate checker ensures it hasn’t been liked before (SharePoint CSV). Builds instagram_posts_to_like.csv, uploads to SharePoint, then launches the Auto-like Agent which likes the post. Post URL is appended to instagram_posts_already_liked.csv to avoid duplicates. Wait nodes throttle launches to ~12 likes per profile daily. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • instagram_session_cookies.txt – one cookie per line. • instagram_posts_already_liked.csv with header postUrl. Adjust Set ENV Variables to change max posts per scrape. Activate the workflow; it will
Automatic LinkedIn engagement with AI comments using GPT-4o and Phantombuster
Who’s it for B2B marketers, recruiters, and personal-brand builders who want to spark conversations on LinkedIn by automatically posting short, relevant comments on fresh industry content—while staying under daily limits. How it works / What it does Schedule Trigger fires every hour. Select Cookie picks a rotating LinkedIn session-cookie (time-slice logic). Generate Random Search Term (GPT-4o) outputs a realistic AI/BPA keyword. LinkedIn Search Agent (Phantombuster) scrapes recent posts. Get Random Post chooses one post and passes its text to Create Comment (GPT-4o) which returns a ≤150-character reply in the chosen language. Builds linkedin_posts_to_comment.csv, uploads to SharePoint, and launches the Auto-comment Agent to post the reply. Post URL is logged to linkedin_posts_already_commented.csv to avoid duplicates. Wait nodes throttle launches to ~120 comments/day. How to set up Add credentials: Phantombuster API, SharePoint OAuth2, OpenAI API key. In SharePoint › “Phantombuster” folder create: • linkedin_session_cookies.txt – one cookie per line. • linkedin_posts_already_commented.csv with header postUrl. Edit Set ENV Variables to set default language, comment prompt, company I
WAutomated Gmail Reply Drafts with OpenAI Assistant for Labeled Emails
n8n workflow template description [template] This workflow automatically drafts replies to your emails using an OpenAI Assistant, streamlining your inbox management. It's designed for support teams, sales professionals, or anyone looking to accelerate their email response process by leveraging AI to create context-aware draft replies in Gmail. How it works The workflow runs on a schedule (every minute) to check for emails with a specific label in your Gmail account. It takes the content of the newest email in a thread and sends it to your designated OpenAI Assistant for processing. A draft reply is generated by the AI assistant. This AI-generated reply is then added as a draft to the original email thread in Gmail. Finally, the initial trigger label is removed from the email thread to prevent it from being processed again. Set up steps Connect your accounts: You'll need to connect your Gmail and OpenAI accounts in the respective nodes. Configure the trigger: In the "Get threads with specific labels" Gmail node, specify the label that you want to use to trigger the workflow (e.g., generate-reply). Any email you apply this label to will be processed. Select your OpenAI Assistant: In
Human in the Loop Email Response System (AI + IMAP)
How it works This workflow automates the process of handling incoming emails by: Receiving emails via IMAP. Converting the email to Markdown for better AI understanding. Summarizing the email using an AI model. Drafting a professional reply with AI, based on the summary. Requesting human approval for the AI-generated response. Sending the approved reply back to the original sender. Set up steps Estimated time: 10–20 minutes (excluding credential setup) What you’ll need: IMAP credentials for your email inbox SMTP credentials for sending emails OpenAI (or compatible) API key for AI steps Setup outline: Add your IMAP and SMTP credentials to the workflow. Connect your OpenAI (or compatible) account for AI summarization and reply generation. Deploy the workflow in n8n and activate it. Test by sending an email to your connected inbox. Note: Detailed configuration tips and explanations are included as sticky notes inside the workflow for each step.
AI-Powered Tarot Readings via iMessage with GPT & Blooio
🔮 Mystic Tarot Bot — AI-Powered iMessage Readings This magical n8n template turns your iMessage inbox into a soulful tarot reading experience powered by Blooio and AI. Users can send in questions or photos of their tarot spreads, and the bot replies like a mystical oracle — interpreting symbols, offering gentle insights, and guiding with poetic warmth. ✨ Ideal for solo reflection, spiritual creators, or client-based guidance services — no tech knowledge needed. 🌟 Use Cases Offer intuitive, emotionally resonant tarot readings via iMessage Support coaching, wellness, and metaphysical businesses with AI-enhanced readings Accept photos of real tarot card spreads or plain text questions Great for automating daily card pulls, client responses, or onboarding into spiritual flows 🧠 Good to Know Built using Blooio’s iMessage API — supports image attachments and conversational replies Includes visual recognition and symbolic interpretation of real tarot card photos Responses generated by OpenAI with a custom “Mystic Tarot Reader” persona Onboards users if they say “Hi” or request a virtual card draw Responds in poetic, spiritually attuned language — no markdown, no tech-speak ⚙️ How it Wo
SFind and Compare Online Tools with GPT-4o and SerpAPI Research
What It Does This powerful workflow can take hours of difficult research attempting to identify the perfect online tool to aid you with your business and condenses it into a few short seconds. Simply typing the name of an online tool you would like to identify into a chat message will initiate the workflow to begin its search process to identify 5 companies that will provide you with the online tool you desire. The initial chat will prompt the Tool Finder AI agent utilizing the power of GPT-4o in combination with SerpAPI to conduct a search and find 5 top end companies that contain the online tool you desire. It will then send the name of each company to five separate Reviewer Tool Agents that will gather information on each company. Each Reviewer Tools Agent will again harness the power of GPT-4o and SerpAPI to give a detailed descriptions of the online tool available including its price, limitations, summary of reviews, pros and cons, as well as an overall conclusion of the online tool. Who This Is For This is the perfect workflow for anyone who is interested in obtaining an online tool to help automate business or everyday tasks. Rather than spending an excess amount of time sea
CReal-Time Sales Pipeline Analytics with Bright Data, OpenAI, and Google Sheets
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically tracks key sales pipeline metrics—new leads, deal stages, win rates—and sends actionable insights to your team. Eliminate manual CRM exports and stay on top of revenue health. Overview The automation queries your CRM API (HubSpot, Salesforce, or Pipedrive) on a schedule, pulls pipeline data, and feeds it into OpenAI for anomaly detection (e.g., stalled deals). Summaries and alerts appear in Slack, while daily snapshots are archived in Google Sheets for trend analysis. Tools Used n8n** – Pipeline orchestration CRM API** – Connects to your chosen CRM OpenAI** – Detects anomalies and highlights risks Slack** – Notifies reps and managers in real time Google Sheets** – Stores historical pipeline data How to Install Import the Workflow into n8n. Connect Your CRM: Provide API credentials in the HTTP Request node. Set Up OpenAI: Add your API key. Authorize Slack & Google Sheets. Customize Thresholds: Adjust what constitutes a stalled deal or low conversion. Use Cases Sales Management**: Monitor pipeline health without dashboards. Revenue Operations**: Detect bott
Scrape Local Business Directories with Bright Data & OpenAI for Lead Generation
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically scrapes local business directories (Yelp, Yellow Pages, Google Maps, etc.) to build a structured database of prospects. Stop copying listings by hand—get fresh leads delivered straight to Google Sheets. Overview Using Bright Data, the automation fetches business names, contact details, ratings, and categories for a given city or ZIP code. OpenAI cleans and normalizes the data, while duplicate detection ensures each business appears only once. The result is emailed as a CSV and stored in Sheets for easy filtering. Tools Used n8n** – Workflow orchestration Bright Data** – Handles large-scale directory scraping OpenAI** – Performs entity cleanup and deduplication Google Sheets** – Houses the resulting lead list Gmail** – Sends the CSV file to your inbox How to Install Import the Workflow: Load the .json into n8n. Configure Bright Data: Add your credentials. Set Up OpenAI: Enter your API key. Connect Google Sheets & Gmail: Authorize both integrations. Customize Locations & Categories: Adjust parameters in the Start node. Use Cases Local Lead Generation**: Bui
CGenerate SaaS Product Ideas from Market Gaps with OpenAI and Bright Data
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically analyzes online data sources to uncover unmet customer needs and product opportunities. Instead of spending days on manual research, you receive an AI-driven report of market gaps directly in your inbox. Overview The automation aggregates product reviews, forum discussions, and competitor feature lists via Bright Data scraping. OpenAI then clusters complaints and feature requests to highlight where demand is high but supply is low. A summary table is generated in Google Sheets and a concise report is emailed to stakeholders. Tools Used n8n** – Automates the entire pipeline Bright Data** – Scrapes review sites and competitor pages reliably OpenAI** – Performs NLP clustering and gap analysis Google Sheets** – Stores structured opportunity data Gmail** – Delivers the weekly insight report How to Install Import the Workflow: Add the .json to your n8n instance. Configure Bright Data: Insert your credentials in the MCP Client node. Set Up OpenAI: Provide your OpenAI API key. Connect Google Sheets & Gmail: Authorize both services. Customize Keywords & Sources: E
CTrack Customer NPS Scores Across Platforms with Bright Data and OpenAI
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically tracks customer satisfaction scores across multiple platforms and surveys to help improve customer experience and identify areas for enhancement. It saves you time by eliminating the need to manually check different feedback sources and provides comprehensive satisfaction analytics. Overview This workflow automatically scrapes customer satisfaction surveys, review platforms, and feedback forms to extract satisfaction scores and sentiment data. It uses Bright Data to access various feedback platforms without being blocked and AI to intelligently analyze satisfaction trends and identify improvement opportunities. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping satisfaction surveys and review platforms without being blocked OpenAI**: AI agent for intelligent satisfaction analysis and trend identification Google Sheets**: For storing satisfaction scores and generating analytics reports How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add