How do I import "🌐 Confluence Page AI Powered Chatbot" 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 "🌐 Confluence Page AI Powered Chatbot" use?

It uses: httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut. The flow diagram above shows how each service connects across the 16 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 httpRequest and markdown credentials in n8n after import.

What trigger type does "🌐 Confluence Page AI Powered Chatbot" 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 "🌐 Confluence Page AI Powered Chatbot" 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 httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut.

← Workflows

🌐 Confluence Page AI Powered Chatbot

16 nodes · httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent

Engine: n8n
Nodes: 16
Trigger: scheduled/triggered
Source file: 1919_Telegram_Splitout_Automate_Webhook.json

Workflow flow

IntegrationsHTTPMarkdownLmChatOpenAiManualChatMemoryBufferWindowAgent

TelegramSplit Out@n8n/n8n-nodes-langchain.lmChatOpenAi@n8n/n8n-nodes-langchain.manualChat@n8n/n8n-nodes-langchain.memoryBufferWindowSet+1 more

100%

gpt-4o-mini

@n8n/n8n-nodes-langchain.lmChatOpenAi

TRIGGER

When chat message received

@n8n/n8n-nodes-langchain.manualChat

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

Globals

Set

Search By ID

HTTP

Split Out

Page Schema

Set

Confluence Page Storage View

HTTP

HTML to Markdown

Markdown

AI Agent

@n8n/n8n-nodes-langchain.agent

Chat Response

Set

Send Telegram Message

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

Browse by integration

httpRequest markdown lmChatOpenAi manualChat memoryBufferWindow agent telegram splitOut

Browse all integrations →

Download n8n JSON Download sanitized JSON Download flow graph

Import into n8n

Download the n8n JSON file (full or sanitized).
In n8n: Workflows → Import from file.
Open each node and reconnect credentials to your accounts.
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: 🌐 Confluence Page AI Powered Chatbot. 16 nodes across httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "🌐 Confluence Page AI Powered Chatbot" chains 16 nodes to move data between httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut. 16 nodes · httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent Execution begins at the scheduled/triggered trigger and flows through the 16 configured nodes. 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

Study how data moves from httpRequest to markdown before building your own variant.
Share it with your team as a documented reference for scheduled/triggered automations in the httpRequest stack.
Import "🌐 Confluence Page AI Powered Chatbot" into n8n, reconnect credentials for httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut, and run the same automation in your own workspace.
Use it as a starting template when wiring httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut — adjust node parameters to your accounts and record IDs.

Example output

Imported into n8n, "🌐 Confluence Page AI Powered Chatbot" exposes 16 configured nodes. Trigger type: scheduled/triggered. Integrations: httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut. Open each node after import to map credentials to your own httpRequest and markdown accounts. 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 "🌐 Confluence Page AI Powered Chatbot" JSON into a plain-English runbook, node by node. It can flag where httpRequest 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 httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "🌐 Confluence Page AI Powered Chatbot" — extract httpRequest IDs and secrets into environment variables without changing the 16-node structure.

Frequently asked questions

How do I import "🌐 Confluence Page AI Powered Chatbot" 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 "🌐 Confluence Page AI Powered Chatbot" use?: It uses: httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut. The flow diagram above shows how each service connects across the 16 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 httpRequest and markdown credentials in n8n after import.
What trigger type does "🌐 Confluence Page AI Powered Chatbot" 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 "🌐 Confluence Page AI Powered Chatbot" 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 httpRequest, markdown, lmChatOpenAi, manualChat, memoryBufferWindow, agent, telegram, splitOut.