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Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls

23 nodes · textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile

Engine
n8n
Nodes
23
Trigger
scheduled/triggered
Source file
1791_Filter_Summarize_Create_Triggered.json

Workflow flow

IntegrationsTextClassifierLmChatOpenAiFilterSummarizeFormExtractFromFileConvertToFileSet@n8n/n8n-nodes-langchain.textClassifier@n8n/n8n-nodes-langchain.lmChatOpenAiNoOp
100%

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

upload file anywhere

NoOp

TRIGGER

Form - Screaming frog internal_html.csv upload

Form

Extract data from Screaming Frog file

ExtractFromFile

Set useful fields

Set

Filter URLs

Filter

Text Classifier

@n8n/n8n-nodes-langchain.textClassifier

No Operation, do nothing

NoOp

Set Field - llms.txt Row

Set

Summarize - Concatenate

Summarize

Set Fields - llms.txt Content

Set

Generate llms.txt file

ConvertToFile

12 steps · flows top to bottom, branches left to right

Browse by integration

textClassifierlmChatOpenAifiltersummarizeformextractFromFileconvertToFile
Browse all integrations →
Download n8n JSONDownload sanitized JSONDownload flow graph

Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls. 23 nodes across textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

This n8n workflow, "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls", wires together textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile in 23 nodes. 23 nodes · textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 23-node flow from scratch.
  • Benchmark it against your current textClassifier integration to spot missing steps or redundant nodes.
  • Import "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" into n8n, reconnect credentials for textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile, and run the same automation in your own workspace.
  • Use it as a starting template when wiring textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" exposes 23 configured nodes. Trigger type: scheduled/triggered. Integrations: textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile. Reconnect the textClassifier credential first, then walk the remaining nodes top to bottom. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" JSON into a plain-English runbook, node by node. It can flag where textClassifier rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" — extract textClassifier IDs and secrets into environment variables without changing the 23-node structure.

Frequently asked questions

How do I import "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" use?
It uses: textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile. The flow diagram above shows how each service connects across the 23 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own textClassifier and lmChatOpenAi credentials in n8n after import.
What trigger type does "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "Generate AI-Ready llms.txt Files from Screaming Frog Website Crawls" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for textClassifier, lmChatOpenAi, filter, summarize, form, extractFromFile, convertToFile.

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