Brand content extraction, summarization, and sentiment analysis using bright data
Workflow Description
An advanced automation template that extracts brand content from social platforms, generates automatic summaries, and performs sentiment analysis using AI models. It provides actionable insights into brand reputation and audience engagement patterns across digital channels.
How it works
- 1.Trigger the workflow manually and configure search parameters for brand monitoring
- 2.Extract content from social media platforms using data collection APIs
- 3.Process text and identify brand-relevant information from extracted data
- 4.Generate automatic summaries using the summarization language model
- 5.Analyze sentiment and emotional trends using the Gemini AI model
- 6.Save and organize analysis results into structured output files
Use cases
- Monitor brand reputation and track public sentiment across social media in real time
- Generate periodic reports analyzing customer emotions and satisfaction levels
- Compare competitor content and identify emerging market trends and opportunities
- Detect potential crises and negative comments early for rapid response
Requirements
- Access to social media data source (Twitter/X) or reliable web scraping capability
- Valid API keys for Gemini and language processing services
- Write and read permissions for saving results to the file system
- Basic knowledge of search operators and filtering techniques
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (23)
When clicking ‘Test workflow’
Manual Trigger
Sticky Note
Sticky Note
Sticky Note1
Sticky Note
Markdown to Textual Data Extractor
LLM Chain
Set URL and Bright Data Zone
Set
AI Sentiment Analyzer with the structured response
Information Extractor
Initiate a Webhook Notification for Markdown to Textual Data Extraction
HTTP Request
Initiate a Webhook Notification for AI Sentiment Analyzer
HTTP Request
Google Gemini Chat Model for Summary
Gemini Model
Google Gemini Chat Model for Data Extract
Gemini Model
Google Gemini Chat Model for Sentiment Analyzer
Gemini Model
Initiate a Webhook Notification for Summarization
HTTP Request
Perform Bright Data Web Request
HTTP Request
Summarize Content
Chain Summarization
Create a binary data for textual data
Function
Create a binary data for sentiment analysis
Function
Write the AI Sentiment analysis file to disk
Read Write File
Write the textual file to disk
Read Write File
Create a binary data for summary
Function
Write the summary file to disk
Read Write File
Sticky Note2
Sticky Note
Sticky Note3
Sticky Note
Sticky Note4
Sticky Note