AI Automation
923 sonuç — tümü kaynağa bağlı n8n referansı
WScore HubSpot deal conversion risk with OpenAI and Slack alerts
How it works This workflow runs daily to review all active deals and evaluate their likelihood of closing successfully. It enriches deal data with recent engagement activity and applies AI-based behavioral scoring to predict conversion probability. High-risk or stalled deals are flagged automatically. Actionable alerts are sent to the sales team, and all analysis is logged for forecasting and tracking. Step-by-step Trigger and fetch deals** Schedule Trigger – Runs the workflow automatically at a fixed time each day. Get Active Deals from HubSpot – Retrieves all open, non-closed deals with key properties. Formatting Data – Normalizes deal fields such as value, stage, age, contacts, and activity dates. Enrich deals with engagement data** If – Filters only active deals for further processing. Loop Over Items – Processes each deal individually. HTTP Request – Fetches engagement associations for the current deal. Get an engagement – Retrieves detailed engagement records from HubSpot. Extracts Data – Structures engagement content, timestamps, and metadata for analysis. Analyze risk, alert, and store results** OpenAI Chat Model – Provides the language model used for analysis. AI Agent – E
Discover buying-intent leads on Twitter and Instagram with GPT-4o-mini and send summaries to Slack and Notion
📊 Description Automate B2B lead discovery by identifying high-intent prospects directly from Reddit discussions using AI-powered intent analysis. 🎯🤖 This workflow scans Reddit for conversations related to CRM and marketing automation tools, analyzes snippets to detect buying intent, identifies relevant decision-makers on LinkedIn, enriches contact details via RocketReach, and logs qualified leads into Google Sheets. Running every three hours, it ensures your sales team never misses fresh outbound opportunities without manual research. 🚀📊 🔁 What This Template Does 1️⃣ Runs automatically every 3 hours to search Reddit for tool-related discussions. ⏰ 2️⃣ Extracts Reddit snippets, links, and highlighted keywords from search results. 🔍 3️⃣ Uses AI to classify buying intent as High, Medium, or Low. 🤖 4️⃣ Identifies the core problem and suggests a safe, non-salesy outreach angle. 💬 5️⃣ Filters only High and Medium intent opportunities. 🚦 6️⃣ Searches LinkedIn for matching decision-makers based on role and seniority. 👥 7️⃣ Enriches lead profiles with emails and company data using RocketReach. 📇 8️⃣ Saves qualified leads into Google Sheets with deduplication logic. 📊 9️⃣ Sends
Audit web pages for SEO issues with Decodo, GPT-4 and Google Sheets
What this workflow does This workflow automatically audits web pages for SEO issues and generates an executive-friendly SEO report using AI. It is designed for marketers, founders, and SEO teams who want fast, actionable insights without manually reviewing HTML, meta tags, or SERP data. The workflow: Reads URLs from Google Sheets Scrapes page content using Decodo (reliable scraping, even on protected sites) Extracts key SEO elements (title, meta description, canonical, H1/H2, visible text) Uses an AI Agent to analyze the page and generate: Overall SEO status Top issues Quick wins Title & meta description recommendations Saves results to Google Sheets Sends a formatted HTML executive report by email (Gmail) Who this workflow is for This template is ideal for: SEO consultants and agencies SaaS marketing teams Founders monitoring their landing pages Content teams doing SEO quality control It focuses on on-page SEO fundamentals, not backlink analysis or technical crawling. Setup (step by step) 1. Google Sheets Create an input sheet with one URL per row Create an output sheet to store SEO results 2. Decodo Add your Decodo API credentials The URL is automatically taken from the input she
Automate Gmail Organization with AI-Powered Email Classification and Smart Labeling
📧 AI-Powered Gmail Auto-Labeling with Smart Classification This n8n workflow automatically organizes your Gmail inbox by intelligently categorizing incoming emails and applying custom labels using AI-powered sentiment analysis. Say goodbye to manual email sorting and hello to an organized inbox! Use Cases Business Email Management**: Automatically sort partnership inquiries, meeting requests, and promotional emails Sales Team Automation**: Identify and label cold outreach and high-priority leads Executive Assistants**: Filter important meetings and urgent matters for busy professionals Marketing Teams**: Separate promotional content from genuine business communications Good to Know The workflow runs every minute to check for new emails Each email is processed only once - already labeled emails are automatically skipped Uses OpenAI's GPT model for accurate email classification (API costs apply) Processes emails in batches to handle multiple incoming messages efficiently How It Works Gmail Trigger continuously monitors your inbox for new emails every minute Switch Node checks if emails already have labels (Other, Promotion, or Meeting) to avoid duplicate processing Loop Node process
Automate Lead Response with GPT and Human Approval to Airtable CRM
AI-Assisted Lead Follow-Up With Human Approval This workflow automates your lead response process from end to end. When someone submits your n8n Form, the workflow generates an AI-written follow-up email, sends that draft to your sales team for approval, and then sends the approved email to the lead or marks it as needing revision. All lead details, drafts, approval decisions, and timestamps are stored in Airtable. Ideal For Teams that want AI to draft emails while keeping a human approval step Businesses receiving inbound inquiries that need fast, consistent responses Users building a simple form → email → CRM workflow Teams that want a record of all drafts and approval outcomes What This Template Provides AI-generated follow-up email drafts Human approval flow, using Approve and Reject links Automatic Airtable logging of leads, drafts, and statuses Fully automated pipeline triggered by a simple form submission Setup Steps (5–10 minutes) Connect Your Credentials Gmail Airtable OpenAI Create Your Airtable Table Use the following fields: Name Email Phone Company Name Message Status Email Draft Created On Add Your Airtable Base ID and Table ID Insert them into the Workflow Configurat
Summarize YouTube Videos with Gemini AI and Send via Telegram
This automated TLDW (Too Long; Didn't Watch) generator using Decodo's scraping API to extract complete video transcripts and metadata, then uses Google Gemini 3 to create intelligent summaries with key points, chapters breakdown, tools mentioned, and actionable takeaways—eliminating hours of manual note-taking and video watching. Why Use This Workflow? Time Savings: Convert a 2-hour video into a readable 5-minute summary, reducing research time by 95% Comprehensive Coverage: Captures key points, chapters, tools, quotes, and actionable steps that manual notes often miss Instant Accessibility: Receive structured summaries directly in Telegram within 30-60 seconds of sharing a link Multi-Language Support: Process transcripts in multiple languages supported by YouTube's auto-caption system Ideal For Content Creators & Researchers:** Quickly extract insights from competitor videos, educational content, or industry talks without watching hours of footage Students & Educators:** Generate study notes from lecture recordings, online courses, or tutorial videos with chapter-based breakdowns Marketing Teams:** Analyze competitor content strategies, extract tools and techniques mentioned, and
WAutomate YouTube Content Strategy with AI, Apify & Google Sheets
📌 Overview This advanced multi-phase n8n workflow automates the complete research, analysis, and ideation pipeline for a YouTube strategist. It scrapes competitor channels, analyzes top-performing titles and thumbnails, identifies niche trends, gathers audience sentiment from comments, and produces data-driven content ideas—automatically writing them into a structured Google Sheets dashboard. This system is ideal for: YouTube creators Agencies Content strategists Automation engineers Anyone who wants to generate YouTube content ideas backed by real data 🧠 High‑Level Architecture The workflow is split into 5 phases, each building on the previous: Phase 1 — Niche Outliers (Input: User Form) Scrapes 3 high‑quality channels from your niche, extracts their outlier videos, and analyzes why they work. Phase 2 — Broad Niche Insights (Weekly) Scrapes the top trending content in your broad niche (e.g., "AI", "fitness", "personal finance") and logs weekly insights. Phase 3 — Niche Insights (Daily) Scrapes the top videos in your specific micro‑niche daily to keep track of content momentum. Phase 4 — Comment Analysis Analyzes real comments from your channel to understand what your audience li
Create LinkedIn Content with GPT-4 via Telegram Bot & Approval Loop
AI LinkedIn Content Bot with Approval Loop This n8n workflow transforms your Telegram messenger into a personal assistant for creating and publishing LinkedIn posts. You can simply send an idea as a text or voice message, collaboratively edit the AI's suggestion in a chat, and then publish the finished post directly to LinkedIn just by saying "Okay." What You'll Need to Get Started Before you can use this workflow, you'll need a few prerequisites set up. This workflow connects three different services, so you will need API credentials for each: Telegram Bot API Key: You can get this by talking to the "BotFather" on Telegram. It will guide you through creating your new bot and provide you with the API token. New Chat with Telegram BotFather OpenAI API Key: This is required for the "Speech to Text" and "AI Agent" nodes. You'll need an account with OpenAI to generate this key. [OpenAI API Platform](https://platform.openai.com ) Blotato API Key: This service is used to publish the final post to LinkedIn. You'll need a Blotato account and to connect your LinkedIn profile there to get the key. [Blotato platform for social media publishing] Once you have these keys, you can add them to th
Automated News Video Generation with HeyGen AI, Apify, and GPT-4.1 Mini
Overview This n8n workflow automates the creation of AI-generated news recap videos using HeyGen's avatar technology. The template scrapes daily newsletter content, uses AI to generate engaging scripts, and produces professional video summaries with synthetic avatars and voices—all without manual intervention. Use Cases Daily News Digests: Automatically convert Morning Brew or similar newsletters into short-form video content for social media platforms like TikTok, Instagram Reels, or YouTube Shorts. Content Repurposing: Transform written blog posts, articles, or reports into engaging video summaries for broader audience reach. Automated Social Media Content: Schedule daily video updates for your audience without recording equipment or on-camera presence. How It Works The workflow operates in three main stages: Stage 1 - Content Acquisition: The Apify Web Scraper node fetches the latest newsletter content from Morning Brew, extracting markdown-formatted text for processing. Stage 2 - Script Generation: An AI agent powered by GPT-4 analyzes the content and creates a concise 40-60 word script highlighting the top 2-4 stories in an engaging, conversational tone perfect for short-form
SCreate a voice & text Telegram assistant with Lookio RAG and GPT-4.1
Create a Telegram bot that answers questions using Retrieval-Augmented Generation (RAG) powered by Lookio and an LLM agent (GPT-4.1). This template handles both text and voice messages (voice transcribed via a Mistral model by default), routes queries through an agent that can call a Lookio tool to fetch knowledge from your uploaded documents, and returns concise, Telegram-friendly replies. A security switch lets you restrict use to a single Telegram username for private testing, or remove the filter to make the bot public. Who is this for? Internal teams & knowledge workers**: Turn your internal docs into an interactive Telegram assistant for quick knowledge lookups. Support & ops**: Provide on-demand answers from your internal knowledge base without exposing full documentation. Developers & automation engineers**: Use this as a reference for integrating agents, transcription, and RAG inside n8n. No-code builders**: Quickly deploy a chat interface that uses Lookio for accurate, source-backed answers. What it does / What problem does this solve? Provides accurate, source-backed answers: Routes queries to **Lookio so replies are grounded in your documents instead of generic web know
WAutomatically Scrape Make.com Job Board with GPT-5-mini Summaries & Email Digest
Automatically Scrape Make.com Job Board with GPT-5-mini Summaries & Email Digest Overview Who is this for? Make.com consultants, automation specialists, and freelancers who want to catch new client opportunities without manually checking the forum. What problem does it solve? Scrolling through forum posts to find jobs wastes time. This automation finds new postings, uses AI to summarize what clients need, and emails you a clean digest. How it works: Runs on schedule → scrapes the Make.com professional services forum → filters jobs from last 7 days → AI summarizes each posting → sends formatted email digest. Use Cases Freelancers: Get daily job alerts without forum browsing, respond to opportunities faster Agencies: Keep sales teams informed of potential clients needing Make.com expertise Job Seekers: Track contract and full-time positions requiring Make.com skills Detailed Workflow Scraping: HTTP module pulls HTML from the Make.com forum job board Parsing: Extracts job titles, dates, authors, and thread links Filtering: Only jobs posted within last 7 days pass through (configurable) AI Processing: GPT-5-mini analyzes each post to extract: Project type Key requirements Complexity le
Analyze Instagram profiles with Apify, Google Gemini, and Supabase
Description Who’s it for This workflow is designed for students, teachers, and exam preparation content creators who want to automate the creation and sharing of multiple-choice questions (MCQs) with short explanations and notes. How it works A Schedule Trigger runs daily (or at your chosen interval). An AI Agent powered by Google Gemini Chat Model generates: MCQs with short explanations Short exam notes The generated content is automatically stored in Google Sheets for tracking and reuse. A Telegram node instantly posts the new MCQs and notes to your chosen channel or group. This makes it easy to create, store, and share exam prep material consistently without manual effort. How to set up Connect your Google account to use Google Sheets. Connect your Telegram Bot to post messages. Add your Gemini* API key* to the AI Agent. Adjust the schedule frequency as per your study/teaching plan Requirements Google account** with Sheets access Telegram Bot** + channel/group Google Gemini API key How to customize Modify the AI prompt** to change exam subject or difficulty. Adjust the format of stored data in Google Sheets (e.g., columns for Question, Options, Answer, Explanation, Notes). Chang
Qualify Real Estate Buyer Leads with GPT-4o & Airtable CRM Integration
🧠 How It Works This AI Agent automatically qualifies property buyer leads from form submissions and sends them directly to your CRM. 🔄 Workflow Steps Form Submission Trigger When a user submits their details via a property inquiry form, the workflow is activated. AI Lead Classification The buyer’s input (budget, location, timeline, etc.) is analyzed by OpenAI. Structured data is extracted, and a lead score (0–100) is generated. Lead Qualification Logic Leads with a score ≥ 70 are marked as qualified. Leads with a lower score can be ignored or stored separately for later review. Follow-Up Actions (for Qualified Leads) An email notification is sent to the real estate agent. A record is created in Airtable to act as a lightweight CRM. ⚙️ How to Set Up 1. Form Setup Replace the default trigger with your preferred source: Typeform, Google Forms, Webflow form, etc. Ensure your form collects the following fields: Name, Email, Budget, Location, Timeline, Property Type 2. Connect Your Credentials Add your OpenAI API key for the LLM node Connect your Gmail account for notifications Link your Airtable base & table to store qualified leads 3. Customize Scoring Logic (Optional) Edit the Infor
Create & Upload AI Videos to YouTube with Kling 2.5 & Auto-SEO
++What it is++ An automated workflow for creating Kling 2.5 videos and posting them to YouTube. The workflow is divided into three main phases: Create Kling 2.5 Video Wait for Video Processing Post to YouTube ++Create Kling 2.5 Video++ This phase handles the initial video creation based on user input. Type Prompt: A form trigger allows the user to input details for the video, including: Prompt: A simple scenario for the video. Video Style: (e.g., Dialogue, Monologue, Advertisement, Documentary) Aspect Ratio: (e.g., 16:9, 9:16, 1:1) Videography (AI Refinement): Refines the user’s prompt into a detailed “script-to-screen” format suitable for video generation. FAL.AI Request: The refined prompt is sent to the Fal.ai Kling 2.5 model via an HTTP request to generate the video. Store Data: Details of the video request, including the date requested, the refined prompt, and the request URL, are stored in a Google Sheet. ++Wait for Video Processing++ Wait 5 mins: The workflow pauses for 5 minutes. This waiting period is necessary as it typically takes 3–5 minutes for the video to be ready after the generation request. ++Post to YouTube++ This phase focuses on generating YouTube SEO details a
WAutomated Customer Onboarding with HubSpot, Gmail, and AI-powered Scheduling
HubSpot Customer Onboarding Automation Overview Streamline your customer onboarding process with this intelligent automation that triggers when new contacts are created in HubSpot. The workflow automatically sends personalized welcome emails, schedules onboarding calls, and assigns customer success managers - ensuring every new customer receives immediate attention and proper support. What This Workflow Does Core Features Real-time Contact Detection**: Monitors HubSpot for new contact creation events via webhooks Intelligent Email Generation**: Uses AI to create personalized welcome emails based on contact information Automated Calendar Scheduling**: Finds available time slots and schedules onboarding calls with new contacts Smart CSM Assignment**: Automatically assigns contacts to appropriate customer success managers Multi-channel Communication**: Sends HTML-formatted emails with professional styling Calendar Integration**: Full Google Calendar management with attendee invitations Business Value Instant Response**: New customers receive immediate welcome communication Personalization at Scale**: Each email is uniquely crafted based on contact details and company information Proce
Automated Blog Post Generator with GPT-4, DALL-E, and Wikipedia for WordPress
WordPress AI Content Creator Overview Transform a few keywords into professionally written, SEO-optimized WordPress blog posts with custom featured images. This workflow leverages AI to research topics, structure content, write engaging articles, and publish them directly to your WordPress site as drafts ready for review. What This Workflow Does Core Features Keyword-to-Article Generation**: Converts simple keywords into comprehensive, well-structured articles Intelligent Content Planning**: Uses AI to create logical chapter structures and content flow Wikipedia Integration**: Researches factual information to ensure content accuracy and depth Multi-Chapter Writing**: Generates coherent, contextually-aware content across multiple sections Custom Image Creation**: Generates relevant featured images using DALL-E based on article content SEO Optimization**: Creates titles, subtitles, and content optimized for search engines WordPress Integration**: Automatically publishes articles as drafts with proper formatting and featured images Business Value Content Scale**: Produce high-quality blog posts in minutes instead of hours Research Efficiency**: Automatically incorporates factual info
Email outreach drafter based on HubSpot data
This n8n template turns a small, targeted HubSpot list into tailored outreach. It scans each contact’s recent Gmail conversations, builds a lightweight persona with AI (tone, goals, pain points, decision style), then drafts a concise sales email aligned to your offer—saved to Gmail as a reviewable draft. Perfect for SDRs and founders who want personalization at scale without writing from scratch. This template was originally created by Jim Le. How it works Manual trigger** starts a controlled run. HubSpot search** pulls a focused list of contacts (e.g., hs_buying_role = DECISION_MAKER). Batch loop** processes contacts one by one. Gmail fetch** grabs up to 20 recent threads from each contact. AI persona extraction** (Information Extractor + Gemini) analyzes messages to capture: decision-making style, communication preferences, goals/motivations pain points, work style, personality traits, buying behavior, values, market awareness Variables node* sets core fields (first name, last name, email) and the *offer** you want to pitch. AI email generation* (Gemini) mirrors the contact’s tone and priorities; outputs *subject* + *HTML body**. Gmail draft** is created for the contact so a rep
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AI-Powered Multi-Platform Social Media Content Factory with Dynamic System Prompts & GPT-4o
Automated Social Media Content Publishing Factory + System Prompt Composition This workflow is a powerful automation for creating and publishing social media content. It uses AI to generate content and images based on external prompts and schemas, and routes the final posts to various social media platforms. How it Works This workflow operates as a "Content Publishing Factory". It generates platform-optimized content for platforms like LinkedIn, Instagram, Facebook, X (Twitter), Threads, and YouTube Shorts. A key feature is its dynamic system prompt and output schema composition, which pulls content from external Google Docs to ensure consistency. The workflow can also create images to match the content and send the final draft for approval via email before publishing. Use Cases Centralized Content Management**: Store and manage all system prompts and schemas in Google Docs for easy team collaboration and version control. Brand Consistency**: Ensure a consistent brand voice across all social media platforms by centralizing brand guidelines and content rules. Automated Publishing**: Automate content creation, image generation, and publishing, reducing manual effort and design bottle
CWAuto-Generate SEO Product Titles & Descriptions with GPT-4o-mini for Printify
N8N Workflow: Printify Automation - Update Title and Description - AlexK1919 This workflow automates the process of getting products from Printify, generating new titles and descriptions using OpenAI, and updating those products. How it Works This workflow automatically retrieves a list of products from a Printify store, processes them to generate new titles and descriptions based on brand guidelines and custom instructions, and then updates the products on Printify with the new information. It also interacts with Google Sheets to track the status of the products being processed. The workflow can be triggered both manually or by an update in a Google Sheet. Use Cases E-commerce Automation**: Automating content updates for a Printify store. Marketing & SEO**: Generating SEO-friendly or seasonal content for products using AI. Product Management**: Batch-updating product titles and descriptions without manual effort. Setup Instructions Printify API Credentials: Set up httpHeaderAuth credentials for Printify to allow the workflow to get and update products. OpenAI API Credentials: Provide an API key for OpenAI in the openAiApi credentials. Google Sheets Credentials: The workflow requir
A/B Test AI Prompts with Supabase, Langchain Agent & OpenAI GPT-4o
Split Test AI Prompts Using Supabase & Langchain Agent This workflow allows you to A/B test different prompts for an AI chatbot powered by Langchain and OpenAI. It uses Supabase to persist session state and randomly assigns users to either a baseline or alternative prompt, ensuring consistent prompt usage across the conversation. 🧠 Use Case Prompt optimization is crucial for maximizing the performance of AI assistants. This workflow helps you run controlled experiments on different prompt versions, giving you a reliable way to compare performance over time. ⚙️ How It Works When a message is received, the system checks whether the session already exists in the Supabase table. If not, it randomly assigns the session to either the baseline or alternative prompt. The selected prompt is passed into a Langchain Agent using the OpenAI Chat Model. Postgres is used as chat memory for multi-turn conversation support. 🧪 Features Randomized A/B split test per session Supabase database for session persistence Langchain Agent + OpenAI GPT-4o integration PostgreSQL memory for maintaining chat context Fully documented with sticky notes 🛠️ Setup Instructions Create a Supabase table named split_t
Extract and Analyze Web Data with Bright Data & Google Gemini
This workflow performs structured data extraction and data mining from a web page by combining the capabilities of Bright Data and Google Gemini. How it Works This workflow focuses on extracting structured data from a web page using Bright Data's Web Unlocker Product. It then uses n8n's AI capabilities, specifically Google Gemini Flash Exp, for information extraction and custom sentiment analysis. The results are sent to webhooks and saved as local files. Use Cases Data Mining**: Automating the process of extracting and analyzing data from websites. Web Scraping**: Gathering structured data for market research, competitive analysis, or content aggregation. Sentiment Analysis**: Performing custom sentiment analysis on unstructured text. Setup Instructions Bright Data Credentials: You need to have an account and a Web Unlocker zone with Bright Data. Update the Header Auth account credentials in the Perform Bright Data Web Request node. Google Gemini Credentials: Provide your Google Gemini(PaLM) Api account credentials for the AI-related nodes. Configure URL and Zone: In the Set URL and Bright Data Zone node, set the web URL you want to scrape and your Bright Data zone. Update Webhook
CAccess Real-time Binance Market Data with GPT-4o Formatting in Telegram
Instantly access real-time Binance Spot Market data in Telegram! This workflow connects the Binance REST API with Telegram and optional GPT-4.1-mini formatting, delivering structured insights such as latest prices, 24h stats, order book depth, trades, and candlesticks directly into chat. 🔎 How It Works A Telegram Trigger listens for incoming user requests. User Authentication validates the Telegram ID to restrict access. A Session ID is generated from chat.id to manage session memory. The Binance AI Agent executes HTTP calls to the Binance public API: Latest Price (Ticker) → /api/v3/ticker/price?symbol=BTCUSDT 24h Statistics → /api/v3/ticker/24hr?symbol=BTCUSDT Order Book Depth → /api/v3/depth?symbol=BTCUSDT&limit=50 Best Bid/Ask Snapshot → /api/v3/ticker/bookTicker?symbol=BTCUSDT Candlestick Data (Klines) → /api/v3/klines?symbol=BTCUSDT&interval=15m&limit=200 Recent Trades → /api/v3/trades?symbol=BTCUSDT&limit=100 Utility Tools refine outputs: Calculator → computes spreads, midpoints, averages, % changes. Think → extracts and reformats JSON into human-readable fields. Simple Memory → saves symbol, sessionId, and user context. Message Splitter ensures outputs >4000 characters a
CAccess Upbit Crypto Market Data in Telegram with GPT-4o-mini
Instantly access Upbit Spot Market Data in Telegram with AI Automation This workflow integrates the Upbit REST API with GPT-4o-mini and Telegram, giving you real-time price data, order books, trades, and candles directly in chat. Perfect for crypto traders, market analysts, and investors who want structured Upbit data at their fingertips—no manual API calls required. ⚙️ How It Works A Telegram bot listens for user queries like upbit KRW-BTC 15m. The Upbit AI Agent parses the request and fetches live data from the official Upbit REST API: Price & 24h stats (/v1/ticker) Order book depth & best bid/ask (/v1/orderbook) Recent trades (/v1/trades/ticks) Dynamic OHLCV candles across all timeframes (/v1/candles/{seconds|minutes|days|weeks|months|years}) A built-in Calculator tool computes spreads, % change, and midpoints. A Think module reshapes raw JSON into simplified, clean fields. The agent formats results into concise, structured text and sends them back via Telegram. 📊 What You Can Do with This Agent ✅ Get real-time prices and 24h change for any Upbit trading pair. ✅ View order book depth and best bid/ask snapshots. ✅ Fetch multi-timeframe OHLCV candles (from 1s to 1y). ✅ Track rece
CFetch Real-Time MEXC Spot Market Data with GPT-4.1-mini and Telegram
Get real-time MEXC Spot Market data instantly in Telegram! This workflow connects the MEXC REST v3 API with Telegram and optional GPT-4.1-mini formatting, providing users with latest prices, 24h stats, order book depth, trades, and candlesticks in structured, Telegram-ready messages. 🔎 How It Works A Telegram Trigger node listens for commands. User Authentication ensures only authorized Telegram IDs can access the bot. A Session ID is generated from chat.id for lightweight memory. The MEXC AI Agent coordinates multiple API calls via HTTP nodes: Ticker (Latest Price) → /api/v3/ticker/price?symbol=BTCUSDT 24h Stats → /api/v3/ticker/24hr?symbol=BTCUSDT Order Book Depth → /api/v3/depth?symbol=BTCUSDT&limit=50 Best Bid/Ask Snapshot → /api/v3/ticker/bookTicker?symbol=BTCUSDT Candlesticks (Klines) → /api/v3/klines?symbol=BTCUSDT&interval=15m&limit=200 Recent Trades → /api/v3/trades?symbol=BTCUSDT&limit=100 Utility Nodes refine the data: Calculator → spreads, averages, mid-prices. Think → formats raw JSON into human-readable summaries. Simple Memory → saves symbol, sessionId, and context across turns. Message Splitter prevents Telegram messages from exceeding 4000 characters. Results are