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Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data

19 nodes · manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured

Engine
n8n
Nodes
19
Trigger
scheduled/triggered
Source file
1314_Manual_Stickynote_Automation_Webhook.json

Workflow flow

IntegrationsManualLmChatGoogleGeminiDocumentDefaultDataLoaderTextSplitterRecursiveCharacterTextSplitterHTTPOutputParserStructuredChainLlmChainSummarizationWait@n8n/n8n-nodes-langchain.lmChatGoogleGemini@n8n/n8n-nodes-langchain.documentDefaultDataLoader@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter+5 more
100%
TRIGGER

When clicking ‘Test workflow’

Manual

Google Gemini Chat Model

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Default Data Loader

@n8n/n8n-nodes-langchain.documentDefaultDataLoader

Recursive Character Text Splitter

@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter

Google Gemini Chat Model1

@n8n/n8n-nodes-langchain.lmChatGoogleGemini

Structured Output Parser

@n8n/n8n-nodes-langchain.outputParserStructured

Perform a Bing Copilot Request

HTTP

Set Snapshot Id

Set

Check on the errors

IF

Concise Summary Creator

@n8n/n8n-nodes-langchain.chainSummarization

Wait for 30 seconds

Wait

Structured Data Webhook Notifier

HTTP

Download Snapshot

HTTP

Check Snapshot Status

HTTP

Summary Webhook Notifier

HTTP

If

IF

Structured Data Extractor

@n8n/n8n-nodes-langchain.chainLlm

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

Browse by integration

manuallmChatGoogleGeminidocumentDefaultDataLoadertextSplitterRecursiveCharacterTextSplitterhttpRequestoutputParserStructuredchainLlmchainSummarizationwait
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

Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data is a free n8n workflow on OpenRuna — 19 nodes connecting manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization. Download the JSON, view the flow diagram, and import it into your n8n instance.

What this workflow does

"Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" is an n8n automation built from 19 nodes spanning manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization. 19 nodes · manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured A scheduled/triggered entry point kicks it off, and each node passes data to the next until the run completes. 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 manual integration to spot missing steps or redundant nodes.
  • Fork it to add error handling, retries, or a notification step without designing the 19-node flow from scratch.
  • Use it as a starting template when wiring manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization — adjust node parameters to your accounts and record IDs.
  • Import "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" into n8n, reconnect credentials for manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization, and run the same automation in your own workspace.

Example output

Imported into n8n, "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" exposes 19 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization. Set your credentials on the manual node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Paste the exported JSON for "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" into Claude and ask it to explain each of the 19 nodes. Claude is good at suggesting credential mappings for manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization, plus error-handling and idempotency improvements before you run it in production.

ChatGPT

Have ChatGPT generate a checklist for adapting "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" to your accounts — which manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization credentials to create and which node parameters to change first.

Cursor

Open the downloaded JSON in Cursor and use Agent mode to refactor hard-coded URLs into env vars, or to generate tests for any Code nodes. Keep the OpenRuna flow diagram open so you do not break connection order across the 19 nodes.

Frequently asked questions

How do I import "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" 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 "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" use?
It uses: manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization. The flow diagram above shows how each service connects across the 19 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 manual and lmChatGoogleGemini credentials in n8n after import.
What trigger type does "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" 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 "Extract & Summarize Bing Copilot Search Results with Gemini AI and Bright Data" 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 manual, lmChatGoogleGemini, documentDefaultDataLoader, textSplitterRecursiveCharacterTextSplitter, httpRequest, outputParserStructured, chainLlm, chainSummarization.

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