Structured Data Extract & Data Mining with Bright Data & Google Gemini — n8n Workflow
Overview
Who this is for? The Structured Data Extract & Data Mining workflow is crafted for researchers, content analysts, SEO strategists, and AI developers who need to transform semi-structured web data (like markdown content or scraped HTML) into actionable structured datasets.
It is ideal for:
Content Analysts** - Organizing and mining large volumes of markdown or HTML content.
SEO & Trend Researchers** - Exploring topics by location and category.
AI Engineers & NLP Developers** - Looking to aut
Nodes used
Workflow Preview
How it Works
- 1
Trigger
The workflow starts with a trigger trigger.
- 2
Process
Data flows through 16 nodes, connecting chainllm, function, httprequest.
- 3
Output
The workflow completes its automation and delivers the result to the configured destination.
Node Details (16)
HTTP Request
httpRequest
Basic LLM Chain
n8n-nodes-langchain.chainLlm
Google Gemini Chat Model
n8n-nodes-langchain.lmChatGoogleGemini
Information Extractor
n8n-nodes-langchain.informationExtractor
How to Import This Workflow
- 1Click Download JSON button on the right to save the workflow file.
- 2Open your n8n instance. Go to Workflows → New → Import from file.
- 3Select the downloaded
structured-data-extract-data-mining-with-bright-data-google-geminifile and click Import. - 4Set up credentials for each service node (API keys, OAuth, etc.).
- 5Click Test Workflow to verify everything works, then activate it.
Or paste directly in n8n → Import from JSON:
Integrations
Created by
Ranjan Dailata
@ranjancse
Tags
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