llms.txt Generator from Website Crawl
Transform Screaming Frog crawls into AI-ready training documents for model fine-tuning.
Inside this workflow
Overview
Convert website crawls into structured llms.txt format optimized for LLM training and RAG systems. Filters pages by relevance, summarizes content with LangChain, and generates a structured knowledge document. Nodes & apps: Form trigger, Filter node, Summarize node, LangChain LM Chat, Convert to File. Credentials needed: 1. OpenAI API key (for summarization) Setup steps: 1. Export your Screaming Frog crawl as CSV 2. Upload crawl to form trigger 3. Configure filter rules for relevant pages 4. Set LangChain summarization prompts 5. Configure output file format 6. Test with sample crawl 7. Deploy and process your website data Difficulty: Medium | Setup time: 15 minutes | Price: $29 | Nodes: 23 | Source: felipfr/awesome-n8n-workflows
What's included
Quickstart
- 01
Download the JSON
With an active Library Pass, download the workflow file right from this page or your dashboard.
- 02
Import into n8n
Choose Import from File and select the downloaded JSON. The full agent graph appears, ready to configure.
- 03
Plug in credentials
Each integration node prompts for credentials on first run. The setup guide lists every credential the agent expects.
- 04
Activate and test
Run once with sample input, confirm the expected output, then flip the activate toggle.
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