Automate web research & analysis with Oxylabs & GPT for comprehensive reports

🎓 Optimize Speed-Critical Workflows Using Parallel Processing (Fan-Out/Fan-In)

How it works This template is a hands-on tutorial for one of the most advanced and powerful patterns in n8n: asynchronous parallel processing, also known as the Fan-Out/Fan-In model. When should you use this? Use this pattern when speed is your top priority and you have multiple independent, long-running tasks. Instead of running them one after another (which is slow), this workflow runs them all at the same time and waits for them all to finish. We use a Construction Project analogy to explain

Create and update Notion database items with automated page creation

Automatically manage Notion databases by creating items and updating entries. Streamline your workflow with Notion's watch, create, and update modules.

Send automated emails and add rows in Google Sheets using ChatGPT completions

Automatically send personalized emails and add new rows in Google Sheets with ChatGPT. Triggered by new rows, this workflow enhances communication and data management.

Shorten a URL using kutt and add it to a record in Airtable

Every time a URL is added to a Airtable record, the URL is shortened using kutt and the record in the table is updated with the new link. This template uses this [Airtable table](https://airtable.com/shrqNzsgcxdtWlwEj).

Build a RAG system with automatic citations using Qdrant, Gemini & OpenAI

This workflow implements a Retrieval-Augmented Generation (RAG) system that: Stores vectorized documents in Qdrant, Retrieves relevant content based on user input, Generates AI answers using Google Gemini, Automatically cites the document sources (from Google Drive). --- Workflow Steps 1. Create Qdrant Collection A REST API node creates a new collection in Qdrant with specified vector size (1536) and cosine similarity. 2. Load Files from Google Drive The workflow lists all files in a Googl

Sort Gmail emails with GPT-4o into action required and no action labels

Description: This automation uses GPT-4o to scan unread Gmail emails and intelligently classify them as: Action → Requires your attention (reply, review, schedule, or respond) No Action → Informational or promotional; no action needed The result? You eliminate inbox noise and gain a clear daily routine: only check what's in Action Required. ⚙️ How It Works: Trigger: Runs on a customizable schedule Fetch Emails: Pulls unread messages from Gmail Classify via GPT-4o: Determines if each email n

Learn secure webhook APIs with authentication and Supabase integration

This template is a practical introduction to n8n Webhooks with built-in examples for all major HTTP methods and authentication types. It is designed as a learning resource to help you understand how webhooks work in n8n, how to connect them to a data store, and how to secure them properly. What’s included: Webhook nodes for GET, POST, PUT, PATCH, DELETE, and HEAD Demonstrations of Basic Auth, Header Auth, and JWT Auth Supabase integration for creating, retrieving, updatin

Crypto RSI alert system with EODHD, Telegram and TradingView charts

How it works Runs on a schedule and iterates a watchlist of symbols (e.g., BTC/ETH/SOL). For each symbol, request intraday 1h OHLCV from EODHD. A Code node computes Wilder’s RSI(14) and detects 30/70 crossings. When a signal appears, the bot sends a Telegram alert (HTML message) with price, RSI (prev → now), timestamp, and a “View chart” button that opens the pair on TradingView (BINANCE/USD). Set up steps (≈10–15 min) Prereqs: n8n (cloud or self-hosted), EODHD API key, Telegram bot + your chati