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Extract & Analyze Brand Content with Bright Data and Google Gemini

by Ranjan Dailataadapted from n8n official workflow galleryUpdated Aug 2026
RequiresBBasic LLM ChainGoogle Gemini Chat ModelHTTP RequestHTTP RequestInformation ExtractorInformation ExtractorSummarization ChainSummarization Chain
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MaWhen clicking ‘Test workflow’When clicking ‘…CLMarkdown to Textual Data ExtractorMarkdown to Tex…SeSet URL and Bright Data ZoneSet URL and Bri…IEAI Sentiment Analyzer with the structured responseAI Sentiment An…HRInitiate a Webhook Notification for Markdown to Textual Data ExtractionInitiate a Webh…HRInitiate a Webhook Notification for AI Sentiment AnalyzerInitiate a Webh…Google Gemini Chat Model for SummaryGoogle Gemini C…Google Gemini Chat Model for Data ExtractGoogle Gemini C…Google Gemini Chat Model for Sentiment AnalyzerGoogle Gemini C…HRInitiate a Webhook Notification for SummarizationInitiate a Webh…HRPerform Bright Data Web RequestPerform Bright …CSSummarize ContentSummarize Conte…FuCreate a binary data for textual dataCreate a binary…FuCreate a binary data for sentiment analysisCreate a binary…RWWrite the AI Sentiment analysis file to diskWrite the AI Se…RWWrite the textual file to diskWrite the textu…FuCreate a binary data for summaryCreate a binary…RWWrite the summary file to diskWrite the summa…1234567891011121314151617
1/5
STEPS · 17
Run manually by an operator

Who this is for? The Brand Content Extract, Summarization & Sentiment Analysis workflow is designed for professionals and teams who need to monitor, understand, and act on public brand perception at scale. It is ideal for: Brand Managers - Looking to track how their brand is portrayed online. Marketing Analysts - Seeking insights from competitor and industry content. PR & Communications Teams - Evaluating media tone and potential reputation risks. Data Scientists & AI Developers - Automating content intelligence pipelines. Growth Hackers - Performing large-scale web listening for campaign optimization. What problem is this workflow solving? Manually tracking and interpreting how your brand is mentioned across blogs, news sites, or product reviews is labor-intensive and unscalable. Traditional scraping tools return raw data but lack insights like summarization, sentiment analysis etc. This workflow addresses: Scalable extraction of brand-related content using Bright Data's infrastructure. Textual data extract for easy decision-making or alerting. Automated summarization of verbose or multi-paragraph articles using Gemini. Sentiment analysis of how a brand is being portrayed.

Tags

n8nreference-onlychain-llmchain-summarizationinformation-extractorlm-chat-google-gemini
Connects
BBasic LLM ChainGoogle Gemini Chat ModelWHTTP RequestinformationextractorInformation ExtractorsummarizationchainSummarization Chain
CategoryAI Automation
Triggermanual
Complexitycomplex
Nodes18
AddedMay 3, 2025

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