Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram

Overview

Free n8n workflow: Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram. 26 nodes across lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut, googleSheets, httpRequest, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

"Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram" is an n8n automation built from 26 nodes spanning lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut, googleSheets, httpRequest. 26 nodes · lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut It starts from a scheduled/triggered trigger and routes data through every node in order. OpenRuna renders the node graph and offers the JSON export so you can import and adapt it in minutes. Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

• Benchmark it against your current lmChatOpenAi integration to spot missing steps or redundant nodes.
• Fork it to add error handling, retries, or a notification step without designing the 26-node flow from scratch.
• Use it as a starting template when wiring lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut, googleSheets, httpRequest — adjust node parameters to your accounts and record IDs.
• Import "Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram" into n8n, reconnect credentials for lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut, googleSheets, httpRequest, and run the same automation in your own workspace.

Example output

Imported into n8n, "Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram" exposes 26 configured nodes. Trigger type: scheduled/triggered. Integrations: lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut, googleSheets, httpRequest. Reconnect the lmChatOpenAi 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.

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Frequently asked questions

How do I import "Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram" 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 "Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram" use?

It uses: lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut, googleSheets, httpRequest. The flow diagram above shows how each service connects across the 26 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 lmChatOpenAi and memoryBufferWindow credentials in n8n after import.

What trigger type does "Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram" 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 "Automated Research Report Generation with OpenAI, Wikipedia, Google Search, and Gmail/Telegram" 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 lmChatOpenAi, memoryBufferWindow, toolHttpRequest, agent, outputParserStructured, splitOut, googleSheets, httpRequest.