Automated SEO Content Engine with Claude AI, Scrapeless, and Competitor Analysis
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
How it works
This n8n workflow helps you build a fully automated SEO content engine using Scrapeless and AI. It’s designed for teams running international websites—such as SaaS products, e-commerce platforms, or content-driven businesses—who want to grow targeted search traffic through high-conversion content, without relying on manual research or hit-or-miss topics.
The flow runs in three key phases:
🔍 Phase 1: Topic Discovery
Automatically find high-potential long-tail keywords based on a seed keyword using Google Trends via Scrapeless. Each keyword is analyzed for trend strength and categorized by priority (P0–P3) with the help of an AI agent.
🧠 Phase 2: Competitor Research
For each P0–P2 keyword, the flow performs a Google Search (via Deep SerpAPI) and extracts the top 3 organic results. Scrapeless then crawls each result to extract full article content in clean Markdown. This gives you a structured, comparable view of how competitors are writing about each topic.
✍️ Phase 3: AI Article Generation
Using AI (OpenAI or other LLM), the workflow generates a complete SEO article draft, including:
SEO title
Slug
Meta description
Trend-based strategy summary
Structured JSON-based article body with H2/H3 blocks
Finally, the article is stored in Supabase (or any other supported DB), making it ready for review, API-based publishing, or further automation.
Set up steps
This flow requires intermediate familiarity with n8n and API key setup. Full configuration may take 30–60 minutes.
✅ Prerequisites
Scrapeless** account (for Google Trends and web crawling) LLM provider** (e.g. OpenAI or Claude) Supabase* or Google Sheets* (to store keywords & article output)
🧩 Required Credentials in n8n
Scrapeless API Key OpenAI (or other LLM) credentials Supabase or Google Sheets credentials
🔧 Setup Instructions (Simplified)
Input Seed Keyword
Edit the “Set Seed Keyword” node to define your niche, e.g., "project management".
Google Trends via Scrapeless
Use Scrapeless to retrieve “related queries” and their interest-over-time data.
Trend Analysis with AI Agent
AI evaluates each keyword's trend strength and assigns a priority (P0–P3).
Filter & Store Keyword Data
Group and sort keywords by priority, then store them in Google Sheets.
Competitor Research
Use Deep SerpAPI to get top 3 Google results. Crawl each using Scrapeless.
AI Content Generation
Feed competitor content + trend data into AI. Output a structured SEO blog article.
Store Final Article
Save full article JSON (title, meta, slug, content) to Supabase.
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