Block 1 - Sticky Note
- Type / Role
- n8n-nodes-base.stickyNote - stickyNote
- Config choices
- Version 1
This workflow is provided as-is. Please review and test before using in production.
This workflow helps you generate an llms.txt file (if you're unfamiliar with it, check out this article) using a Screaming Frog export . [Sc...
n8n-nodes-base.stickynote, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.textclassifier, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.noop, n8n-nodes-base.filter, n8n-nodes-base.summarize, n8n-nodes-base.formtrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dataki.
Original n8n.io sourceThis workflow helps you generate an llms.txt file (if you're unfamiliar with it, check out this article) using a Screaming Frog export.
Screaming Frog is a well-known website crawler.
You can easily crawl a website. Then, export the "internal_html" section in CSV format.
A form allows you to enter:
Once the form is submitted, the workflow is triggered automatically, and you can download the llms.txt file directly from n8n.
Since the last node in this workflow is "Convert to File", you will need to download the file directly from the n8n UI.
However, you can easily add a node (e.g., Google Drive, OneDrive) to automatically upload the file wherever you want.
This workflow includes a text classifier node, which is deactivated by default.
llms.txt file. llms.txt file for using Screaming Frog. internal_html.csv file. That's it! You now have your llms.txt file!
Recommended Usage:
Use this workflow directly in the n8n UI by clicking 'Test Workflow' and uploading the file in the form.
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate AI-ready llms.txt files from Screaming Frog website crawls |
|---|---|
| Complexity | advanced |
| Nodes | 23 |
| Categories | Document Extraction, AI Summarization |
| Author | Dataki |
| Published | 19 Mar 2025 |
Use the JSON export at /data/workflows/3219/3219.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
This workflow helps you generate an llms.txt file (if you're unfamiliar with it, check out this article) using a Screaming Frog export . [Sc...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.