Structured Data Extract, Data Mining with Bright Data & Google Gemini
18 nodes · manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile
- Engine
- n8n
- Nodes
- 18
- Trigger
- scheduled/triggered
- Source file
- 0337_Manual_Stickynote_Automation_Webhook.json
Workflow flow
When clicking ‘Test workflow’
Manual
Google Gemini Chat Model for Data Extract
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Google Gemini Chat Model for Sentiment Analyzer
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Google Gemini Chat Model
@n8n/n8n-nodes-langchain.lmChatGoogleGemini
Set URL and Bright Data Zone
Set
Perform Bright Data Web Request
HTTP
Markdown to Textual Data Extractor
@n8n/n8n-nodes-langchain.chainLlm
Initiate a Webhook Notification for Markdown to Textual Data Extraction
HTTP
Topic Extractor with the structured response
@n8n/n8n-nodes-langchain.informationExtractor
Trends by location and category with the structured response
@n8n/n8n-nodes-langchain.informationExtractor
Initiate a Webhook Notification for AI Sentiment Analyzer
HTTP
Initiate a Webhook Notification for trends by location and category
HTTP
Create a binary file for topics
Function
Create a binary data for tends
Function
Write the topics file to disk
ReadWriteFile
Write the trends file to disk
ReadWriteFile
16 steps · flows top to bottom, branches left to right
Browse by integration
Browse all integrations →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.
Overview
Free n8n workflow: Structured Data Extract, Data Mining with Bright Data & Google Gemini. 18 nodes across manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile, with a downloadable JSON and a visual flow diagram on OpenRuna.
What this workflow does
"Structured Data Extract, Data Mining with Bright Data & Google Gemini" automates a manual-to-chainLlm flow in n8n across 18 nodes. 18 nodes · manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile Execution begins at the scheduled/triggered trigger and flows through the 18 configured nodes. 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
- Share it with your team as a documented reference for scheduled/triggered automations in the manual stack.
- Study how data moves from manual to chainLlm before building your own variant.
- Use it as a starting template when wiring manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile — adjust node parameters to your accounts and record IDs.
- Import "Structured Data Extract, Data Mining with Bright Data & Google Gemini" into n8n, reconnect credentials for manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile, and run the same automation in your own workspace.
Example output
Imported into n8n, "Structured Data Extract, Data Mining with Bright Data & Google Gemini" exposes 18 configured nodes. Trigger type: scheduled/triggered. Integrations: manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile. Open each node after import to map credentials to your own manual and chainLlm accounts. 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 "Structured Data Extract, Data Mining with Bright Data & Google Gemini" into Claude and ask it to explain each of the 18 nodes. Claude is good at suggesting credential mappings for manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile, plus error-handling and idempotency improvements before you run it in production.
ChatGPT
Have ChatGPT generate a checklist for adapting "Structured Data Extract, Data Mining with Bright Data & Google Gemini" to your accounts — which manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile 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 18 nodes.
Frequently asked questions
- How do I import "Structured Data Extract, Data Mining with Bright Data & Google Gemini" 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 "Structured Data Extract, Data Mining with Bright Data & Google Gemini" use?
- It uses: manual, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile. The flow diagram above shows how each service connects across the 18 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 chainLlm credentials in n8n after import.
- What trigger type does "Structured Data Extract, Data Mining with Bright Data & Google Gemini" 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 "Structured Data Extract, Data Mining with Bright Data & Google Gemini" 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, chainLlm, httpRequest, lmChatGoogleGemini, informationExtractor, readWriteFile.
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