technical

ScraperNode Publishes 8,697 n8n Templates — 5,942 Are AI-Powered Workflows

2026-03-13 · github.com

ScraperNode has published a GitHub repository of 8,697 n8n automation templates under MIT licence — 5,942 of them AI-powered, a ratio that reflects how quickly plug-and-play agentic tooling is accumulating in the no-code market. Categories span agent orchestration, RAG chatbots, LLM integrations, and MCP server patterns across providers including OpenAI, Anthropic Claude, and Google Gemini.

ScraperNode has published what it describes as the largest open-source collection of n8n workflow templates on GitHub — 8,697 ready-to-import JSON automations spread across 25 categories under an MIT licence.

The notable figure isn't the total count but the AI concentration: 5,942 of those templates are classified as AI-powered, covering agent orchestration, RAG chatbots, LLM integrations, document extraction, and AI summarisation. The AI Agent integration category alone accounts for 2,986 templates. Connectors span OpenAI, Anthropic Claude, Google Gemini, Ollama for local deployments, and OpenRouter, alongside MCP (Model Context Protocol) server patterns that expose services such as GitHub, Zoom, Zendesk, and WordPress to agentic workflows.

Each template is a JSON file that drops directly into any n8n instance. View counts in the repository give a rough sense of practitioner demand: 'AI agent chat' lists 1.4 million views, 'Build your first AI agent' shows 714,000, and 'Building your first WhatsApp chatbot' nearly 475,000. ScraperNode provides no start date for any of these figures, so they reflect cumulative totals over an unspecified period.

The 'largest collection' claim is ScraperNode's own and has not been independently verified.