AI Agents

Brand content extraction, summarization, and sentiment analysis using bright data

23 nodes 213 141 Automatic trigger
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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. 1.Trigger the workflow manually and configure search parameters for brand monitoring
  2. 2.Extract content from social media platforms using data collection APIs
  3. 3.Process text and identify brand-relevant information from extracted data
  4. 4.Generate automatic summaries using the summarization language model
  5. 5.Analyze sentiment and emotional trends using the Gemini AI model
  6. 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

LLM Chain Twitter/X Gemini Read Write File

Details

Trigger Automatic trigger
Nodes 23
Apps 4
Views 213
Downloads 141

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (23)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Sticky Note

Sticky Note

#2

Sticky Note1

Sticky Note

#3

Markdown to Textual Data Extractor

LLM Chain

#4

Set URL and Bright Data Zone

Set

#5

AI Sentiment Analyzer with the structured response

Information Extractor

#6

Initiate a Webhook Notification for Markdown to Textual Data Extraction

HTTP Request

#7

Initiate a Webhook Notification for AI Sentiment Analyzer

HTTP Request

#8

Google Gemini Chat Model for Summary

Gemini Model

#9

Google Gemini Chat Model for Data Extract

Gemini Model

#10

Google Gemini Chat Model for Sentiment Analyzer

Gemini Model

#11

Initiate a Webhook Notification for Summarization

HTTP Request

#12

Perform Bright Data Web Request

HTTP Request

#13

Summarize Content

Chain Summarization

#14

Create a binary data for textual data

Function

#15

Create a binary data for sentiment analysis

Function

#16

Write the AI Sentiment analysis file to disk

Read Write File

#17

Write the textual file to disk

Read Write File

#18

Create a binary data for summary

Function

#19

Write the summary file to disk

Read Write File

#20

Sticky Note2

Sticky Note

#21

Sticky Note3

Sticky Note

#22

Sticky Note4

Sticky Note

#23