by Cristian Tala Sánchez
✨ SEO Blog Post Automation with Perplexity, GPT, Leonardo AI & WordPress This workflow automates the creation and publishing of weekly SEO-optimized blog posts using AI and publishes them directly to WordPress — with featured images and tracking in Google Sheets. 🧠 Who is this for This automation is ideal for: Startup platforms and tech blogs Content creators and marketers Solopreneurs who want consistent blog output Spanish-speaking audiences focused on startup trends ⚙️ What it does ⏰ Runs every Monday at 6:00 AM via CRON 📡 Uses Perplexity AI to research trending startup topics 📝 Generates a 1000–1500 word article with GPT in structured HTML 🎨 Creates a cinematic blog image using Leonardo AI 🖼️ Uploads the image to WordPress with alt text and SEO-friendly filename 📰 Publishes the post in a pre-defined category 📊 Logs the post in Google Sheets for tracking 🚀 How to set it up Connect your credentials: Perplexity API OpenAI (GPT-4.1 Mini or similar) Leonardo AI (Bearer token) WordPress (Basic Auth) Google Sheets (OAuth2) Customize your content: Adjust the prompt inside the HTTP node to fit your tone or focus Change the WordPress category ID Update scheduling if you want a different publishing day Test the workflow manually to ensure all steps function correctly 💡 Pro tips Add Slack or email nodes to get notified when a post goes live Use multiple categories or RSS feeds for content diversification Adjust GPT prompt to support different languages or tones Add post-validation rules if needed before publishing 🎯 Why this matters This workflow gives you a full editorial process on autopilot: research, writing, design, publishing, and tracking — all powered by AI. No more blank pages or manual posting. Use it to scale your content strategy, boost your SEO, and stay relevant — 100% hands-free.
by Eduard
Primer workflow for OpenAI models: ChatGPT, DALLE-2, Whisper This workflow contains 5 examples on how to work with OpenAI API. Transcribe voice into text via Whisper model (disabled, please put your own mp3 file with voice) The old way of using OpenAI conversational model via text-davinci-003 Examples 1.x. Simple ChatGPT calls. Text completion and text edit Example 2. Provide system and user content into ChatGPT Examples 3.x. Create system / user / assistanc content via Code Node. Promtp chaining technique example Example 4. Generate code via ChatGPT Example 5. Return multiple answers. Useful for providing picking the most relevant reply IMPORTANT! Do not run the whole workflow, it's rather slow Better execute the last node of each branch or simply disconnect branches that are not needed
by Markhah
Overview This n8n workflow is a modular AI analyst system that provides real-time insights from CoinMarketCap’s centralized and decentralized data sources. Using GPT-based AI, the system interprets natural language questions about the crypto market and delegates them to specialized agent workflows. It supports Telegram chat input and returns structured results such as coin quotes, DEX liquidity, exchange info, and community sentiment—all integrated from the CoinMarketCap API ecosystem. Prerequisites a. OpenAI or Gemini account (via GPT-4o-mini or equivalent LLM). b. Telegram Bot API token (for message input/output). c. Valid CoinMarketCap API key. 📦 Required subflows: CoinMarketCap_Crypto_Agent_Tool CoinMarketCap_Exchange_and_Community_Agent_Tool CoinMarketCap_DEXScan_Agent_Tool d. All tools must be installed and configured before use. Each one acts as a specialized endpoint wrapper for CoinMarketCap APIs. How It Works Telegram Input Users send a query to the bot (e.g. “Top DEX pairs on Ethereum”). Session Memory & Agent Brain Session is tracked via chat.id GPT-4o-mini interprets the query, routes to sub-agents Sub-Agent Workflows Crypto Agent: prices, rankings, conversions Exchange Agent: community sentiment, exchange token holdings DEX Agent: OHLCV data, liquidity pools, trades Multi-Agent Coordination AI can combine queries across tools (e.g., get token ID → fetch quote → analyze liquidity) Ensures valid parameters and avoids API errors Telegram Output Final analysis is sent back to the user as a formatted message. Troubleshooting Tips Error Code Meaning Fix 400 Bad request Check symbol/slug/ID validity 401 Unauthorized Verify CoinMarketCap API key 429 Rate limit exceeded Throttle or upgrade API tier 500 Server error Retry with backoff or report to CMC Example Telegram Queries “Show me top 5 coins by market cap” “Get price of ETH on Uniswap and Binance” “How much liquidity is in SOL-USDC pair?” “Fear & Greed Index and trending tokens” SEO Tags (ẩn hoặc ghi chú riêng): coinmarketcap, n8n crypto analyst, crypto ai telegram bot, dex liquidity, CMC price tracker, gpt-4o crypto market, token sentiment dashboard, fear and greed index
by Yaron Been
This workflow contains community nodes that are only compatible with the self-hosted version of n8n. This workflow automatically monitors keyword rankings across search engines to track SEO performance and identify optimization opportunities. It saves you time by eliminating the need to manually check keyword positions and provides comprehensive ranking data for strategic SEO decision making. Overview This workflow automatically scrapes search engine results pages (SERPs) to track keyword rankings, competitor positions, and search features. It uses Bright Data to access search results without restrictions and AI to intelligently parse ranking data, track changes, and identify SEO opportunities. Tools Used n8n**: The automation platform that orchestrates the workflow Bright Data**: For scraping search engine results without being blocked OpenAI**: AI agent for intelligent ranking analysis and SEO insights Google Sheets**: For storing keyword ranking data and tracking changes How to Install Import the Workflow: Download the .json file and import it into your n8n instance Configure Bright Data: Add your Bright Data credentials to the MCP Client node Set Up OpenAI: Configure your OpenAI API credentials Configure Google Sheets: Connect your Google Sheets account and set up your ranking tracking spreadsheet Customize: Define target keywords and ranking monitoring parameters Use Cases SEO Teams**: Track keyword performance and identify ranking improvements Content Marketing**: Monitor content ranking success and optimization needs Competitive Analysis**: Track competitor keyword rankings and strategies Digital Marketing**: Measure organic search performance and ROI Connect with Me Website**: https://www.nofluff.online YouTube**: https://www.youtube.com/@YaronBeen/videos LinkedIn**: https://www.linkedin.com/in/yaronbeen/ Get Bright Data**: https://get.brightdata.com/1tndi4600b25 (Using this link supports my free workflows with a small commission) #n8n #automation #keywordrankings #seo #searchrankings #brightdata #webscraping #seotools #n8nworkflow #workflow #nocode #ranktracking #keywordmonitoring #seoautomation #searchmarketing #organicseo #seoresearch #rankinganalysis #keywordanalysis #searchengines #seomonitoring #digitalmarketing #serp #keywordtracking #seoanalytics #searchoptimization #rankingreports #keywordresearch #seoinsights #searchperformance
by NODA shuichi
Description: Automate your grant research with an AI Agent that reads, analyzes, and scores opportunities. 🏛️🤖 This advanced workflow transforms the tedious task of finding business subsidies into an automated intelligence stream. Unlike simple keyword scrapers, it uses an OpenAI Agent (GPT-4o) to read full articles, extract key details (deadlines, budgets), and evaluate their importance for SMEs on a 1-10 scale. Key Features: Intelligent Scoring: The AI assigns an "Importance Score" and "Urgency" level to each subsidy, filtering out noise. Structured Data Extraction: Converts unstructured news text into clean JSON (Deadlines, Requirements, Agencies). Smart Alerts: High-scoring subsidies (Score 7+) trigger a priority alert (🚨) sent directly to Chatwork. State Management: Uses Google Sheets to track history and prevent duplicate notifications. Organized Layout: Nodes are clearly grouped into sections (Setup, Aggregation, Analysis, Logic) for easy customization. How it works: Aggregate: Collects the latest articles from Google News, J-Net21, and Mirasapo Plus RSS feeds. Analyze: The AI Agent reads the content to extract fields like applicationDeadline and targetRecipients, while calculating an importance score. Deduplicate: Checks the URL against a Google Sheet database to ensure only new information is processed. Filter & Tag: High-value items are automatically tagged as "High Priority". Notify: Saves data to Google Sheets and sends a formatted message to Chatwork. Setup Requirements: Google Sheets: Create a sheet named Subsidies with the following headers in the first row: subsidyName, targetRecipients, applicationDeadline, budgetAmount, urgency, importanceScore, priorityTag, sourceUrl Credentials: OpenAI: API Key (GPT-4o recommended). Chatwork: API Token. Google Sheets: OAuth2 connection. Configuration: Open the "Sticky Note Setup" section (first node) and enter your Chatwork Room ID, Chatwork API Token, and Google Spreadsheet ID.
by Romuald Członkowski
Social Media Intelligence Workflow with Bright Data and OpenAI Get a 360 Social media presence report for a person Who's it for Business development professionals, recruiters, sales teams, and market researchers who need comprehensive social media intelligence on individuals for lead qualification, due diligence, partnership evaluation, or candidate assessment. How it works Enter target person's details through the web form (name, company, location) AI Discovery Agent searches across selected platforms using name variations Profile validator verifies discovered profiles with confidence scoring Platform-specific agents analyze each profile using Bright Data MCP tools GPT-4 synthesizes all data into a comprehensive intelligence report Report automatically generated as formatted Google Doc with direct link Requirements Bright Data MCP account with PRO access (Get your Bright Data API key here) OpenAI API key (or alternative LLM provider) Google Drive OAuth connection for report delivery n8n self-hosted instance or cloud account How to set up Update Bright Data credentials: Find "Bright Data MCP" node (look for red warning note) Replace YOUR_BRIGHT_DATA_TOKEN_HERE with your actual token Update UNLOCKER_CODE_HERE with your unlocker code Update Google Drive settings: Find "Create Empty Google Doc" node Select target folder there Configure your LLM credentials (OpenAI or alternative) Test with your own name using "Basic" search depth Watch Youtube Tutorial How to customize the workflow Add platforms**: Extend the Switch node with new cases and create corresponding prompt builders Modify analysis depth**: Edit the platform-specific prompt builders to focus on different metrics Change report format**: Update the final LLM Chain prompt to adjust report structure Add notifications**: Insert Slack or email nodes after report generation Adjust confidence thresholds**: Modify validators to change profile verification requirements Alternative outputs**: Replace Google Docs with PDF, Excel, or webhook to CRM
by Janak Patel
Who’s it for This template is ideal for YouTube video creators who spend a lot of time manually generating SEO assets like descriptions, tags, titles, keywords, and thumbnails. If you're looking to automate your YouTube SEO workflow, this is the perfect solution for you. How it works / What it does Connect a Google Sheet to n8n and pull in the Hindi script (or any language). Use OpenAI to generate SEO content: Video description Tags Keywords Titles Thumbnail titles etc. Use the generated description as input to create a thumbnail image using an image generation API. Store all outputs in the same Google Sheet in separate columns. Optionally, use tools like VidIQ or TubeBuddy to test the SEO strength of generated titles, tags, and keywords. 💡 Note: This example uses Runway’s image generation API, but you can plug in any other image-generation service of your choice. Requirements A Google Sheet with clearly named columns Hindi, English, or other language scripts in the sheet OpenAI API key Runway API key (or any other image generation API) How to set up You can set up this workflow in 15 minutes by following the pre-defined steps. Replace the manual Google Sheet trigger with a scheduled trigger for daily or timed automation. You may also swap Google Sheets with any database or data source of your choice. No Google Sheets API required. Requires minimal JavaScript or Python knowledge for advanced customizations.
by Robert Breen
Give business users a chat box; get back valid BigQuery SQL and live query results. The workflow: Captures a plain-language question from a chat widget or internal portal. Fetches the current table + column schema from your BigQuery dataset (via INFORMATION_SCHEMA). Feeds both the schema and the question to GPT-4o so it can craft a syntactically correct SQL query using only fields that truly exist. Executes the AI-generated SQL in BigQuery and returns the results. Stores a short-term memory by session, enabling natural follow-up questions. Perfect for analysts, customer-success teams, or any stakeholder who needs data without writing SQL. ⚙️ Setup Instructions Import the workflow n8n → Workflows → Import from File (or Paste JSON) → Save Add credentials | Service | Where to create credentials | Node(s) to update | |---------|----------------------------|-------------------| | OpenAI | <https://platform.openai.com> → Create API key | OpenAI Chat Model | | Google BigQuery | Google Cloud Console → IAM & Admin → Service Account JSON key | Google BigQuery (schema + query) | Point the schema fetcher to your dataset In Google BigQuery1 you’ll see: SELECT table_name, column_name, data_type FROM n8nautomation-453001.email_leads_schema.INFORMATION_SCHEMA.COLUMNS Replace n8nautomation-453001.email_leads_schema with YOUR_PROJECT.YOUR_DATASET. Keep the rest of the query the same—BigQuery’s INFORMATION_SCHEMA always surfaces table_name, column_name, and data_type. Update the execution node Open Google BigQuery (the second BigQuery node). In Project ID select your project. The SQL Query field is already {{ $json.output.query }} so it will run whatever the AI returns. (Optional)Embed the chat interface Test end-to-end Open the embedded chat widget. Ask: “How many distinct email leads were created last week?” After a few seconds the workflow will return a table of results—or an error if the schema lacks the requested fields. As specific questions about your data Activate Toggle Active so the chat assistant is available 24/7. 🧩 Customization Ideas Row-limit safeguard**: automatically append LIMIT 1000 to every query. Chart rendering**: send query results to Google Sheets + Looker Studio for instant visuals. Slack bot**: forward both the question and the SQL result to a Slack channel for team visibility. Schema caching**: store the INFORMATION_SCHEMA result for 24 hours to cut BigQuery costs. Contact Email:** rbreen@ynteractive.com Website:** https://ynteractive.com YouTube:** https://www.youtube.com/@ynteractivetraining LinkedIn:** https://www.linkedin.com/in/robertbreen
by Ranjan Kumar
Who’s it for This template is ideal for creators, bloggers, and automation enthusiasts who want to auto-generate blog posts from AI-generated content — without lifting a finger. Whether you're running a tech blog, AI newsletter, or just want to keep your WordPress site fresh, this workflow does the heavy lifting. How it works This n8n workflow automatically publishes WordPress posts using trending content from Reddit RSS feeds (like /r/artificial and /r/MachineLearning), enhanced with AI writing and royalty-free images. RSS Feed Trigger: Fetches new Reddit posts every minute from multiple AI-related subreddits. AI Blog Writer: Uses an LLM (Groq / GPT-4o) to convert Reddit titles + content into a full blog article (title, content, category, tags, image keyword). Image Generator: Queries the Pexels API using the keyword provided by the AI to fetch a relevant blog image. Category & Tag Manager: Automatically creates or reuses categories and tags in WordPress. WordPress Publisher: Posts the article in draft or published form — complete with featured image and metadata. Everything is dynamically generated — no hardcoded text or API keys! How to set up Estimated time: 15–20 minutes You’ll need: 🧠 Groq or OpenAI API key (for AI article generation) 🖼️ Pexels API key (for fetching featured images) 📰 WordPress API credentials (with media + post permissions) Customization via Sticky Notes: Choose your own RSS feeds (or subreddit URLs) Modify the AI prompt to match your writing style Set post status (draft or publish) Add your WordPress API URL and credentials Requirements Free n8n account (or self-hosted instance) API credentials (Groq/OpenAI, Pexels, WordPress) Working WordPress site with REST API access Sticky notes explaining: Setup instructions AI prompt format Required credential names
by Don Jayamaha Jr
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 sent back to Telegram in structured, readable reports. ✅ What You Can Do with This Agent Get latest prices & 24h stats for any spot pair. Retrieve order book depth (customizable levels). Monitor best bid/ask quotes for spreads. View candlestick OHLCV data for multiple timeframes. Check recent trades (up to 100). Receive clean Telegram reports — no raw JSON. 🛠️ Setup Steps Create a Telegram Bot Use @BotFather to create a bot and copy its API token. Configure in n8n Import MEXC AI Agent v1.02.json. Update the User Authentication node with your Telegram ID. Add Telegram API credentials (bot token). Add OpenAI API key (Optional) Add MEXC API key Deploy & Test Activate the workflow in n8n. Send a query like BTCUSDT to your bot. Instantly receive structured MEXC Spot Market data in Telegram. 📤 Output Rules Output grouped into Price, 24h Stats, Order Book, Candlesticks, Trades. No raw JSON — formatted summaries only. Complies with Telegram’s 4000-character message limit (auto-split). 📺 Setup Video Tutorial Watch the full setup guide on YouTube: ⚡ Unlock real-time MEXC Spot Market insights in Telegram — clean, fast, and API-key free. 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding permitted. 🔗 For support: Don Jayamaha – LinkedIn
by Don Jayamaha Jr
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 recent trades with price, volume, side, and timestamp. ✅ Calculate midpoints, spreads, and percentage changes. ✅ Receive clean, human-readable reports in Telegram—no JSON parsing needed. 🛠 Set Up Steps Create a Telegram Bot Use @BotFather and save your bot token. Configure Telegram API and OpenAI in n8n Add your bot token under Telegram credentials. Replace your Telegram ID in the authentication node to restrict access. Import the Workflow Load Upbit AI Agent v1.02.json into n8n. Ensure connections to tools (Ticker, Orderbook, Trades, Klines). Deploy and Test Example query: upbit KRW-BTC 15m → returns price, order book, candles, and trades. Example query: upbit USDT-ETH trades 50 → returns 50 latest trades. 📺 Setup Video Tutorial Watch the full setup guide on YouTube: ⚡ Unlock clean, structured Upbit Spot Market data instantly—directly in Telegram! 🧾 Licensing & Attribution © 2025 Treasurium Capital Limited Company Architecture, prompts, and trade report structure are IP-protected. No unauthorized rebranding permitted. 🔗 For support: Don Jayamaha – LinkedIn
by Yahor Dubrouski
📌 How it works This workflow turns voice or text messages from Telegram into structured tasks in Notion, using AI-powered intent detection and task generation. It supports: 🆕 Task creation ✏️ Task updates (like changing priority, title, or deadline) 🧠 Task analysis (e.g., workload, goal alignment, emotional fatigue) The assistant uses OpenAI to: Detect intent (create, update, or analyze) Extract or update task fields (title, priority, due date, etc.) Auto-format list-style descriptions with bullet points Detect relevant tags like health, money, sport, etc. ⚙️ Setup steps Clone the GitHub repo or import the .json into n8n manually. Configure: OpenAI credentials Telegram Bot Token Notion credentials Use Telegram to send messages like: “Create a task to call mom tomorrow” “Update the grocery task to add milk” “Am I overbooked today?”