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Generate AI-ready llms.txt files from Screaming Frog website crawls

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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...

Best for

  • Document Extraction automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

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

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Dataki.

Original n8n.io source

1.1 Workflow description

Title
Generate AI-ready llms.txt files from Screaming Frog website crawls
Workflow name
Generate AI-ready llms.txt files from Screaming Frog website crawls

This 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.

How It Works:

A form allows you to enter:

  • The name of the website
  • A short description
  • The internal_html.csv file from your Screaming Frog export

Once the form is submitted, the workflow is triggered automatically, and you can download the llms.txt file directly from n8n.

Downloading the File

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.

AI-Powered Filtering (Optional):

This workflow includes a text classifier node, which is deactivated by default.

  • You can activate it to apply a more intelligent filter to select URLs for the llms.txt file.
  • Consider modifying the description in the classifier node to specify the type of URLs you want to include.

How to Use This Workflow

  1. Crawl the website you want to generate an llms.txt file for using Screaming Frog.
  2. Export the "internal_html" section in CSV format.
  3. In n8n, click "Test Workflow", fill in the form, and upload the internal_html.csv file.
  4. Once the workflow is complete, go to the "Export to File" node and download the output.

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.

1.2 Logical Blocks

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.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Set useful fields

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 5 - Text Classifier

Type / Role
@n8n/n8n-nodes-langchain.textClassifier - textClassifier
Config choices
Version 1

Block 6 - OpenAI Chat Model

Type / Role
@n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices
Version 1.2

Block 7 - No Operation, do nothing

Type / Role
n8n-nodes-base.noOp - noOp
Config choices
Version 1

Block 8 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Filter URLs

Type / Role
n8n-nodes-base.filter - filter
Config choices
Version 2.2

Block 10 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 11 - Sticky Note5

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 12 - Sticky Note6

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 13 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note8

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note9

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Summarize - Concatenate

Type / Role
n8n-nodes-base.summarize - summarize
Config choices
Version 1.1

Block 17 - Set Fields - llms.txt Content

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 18 - upload file anywhere

Type / Role
n8n-nodes-base.noOp - noOp
Config choices
Version 1

Block 19 - Set Field - llms.txt Row

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 20 - Sticky Note10

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Form - Screaming frog internal_html.csv upload

Type / Role
n8n-nodes-base.formTrigger - formTrigger
Config choices
Version 2.2

Block 22 - Extract data from Screaming Frog file

Type / Role
n8n-nodes-base.extractFromFile - extractFromFile
Config choices
Version 1

Block 23 - Generate llms.txt file

Type / Role
n8n-nodes-base.convertToFile - convertToFile
Config choices
Version 1.1

3. Summary Table

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

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/3219/3219.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

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.

Frequently asked questions

What does Generate AI-ready llms.txt files from Screaming Frog website crawls do?

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...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

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.