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Extract & analyze brand content with Bright Data and Google Gemini

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Extract & analyze brand content with Bright Data and Google Gemini preview
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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

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 a...

Best for

  • Market Research automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, n8n-nodes-base.stickynote, @n8n/n8n-nodes-langchain.chainllm, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.informationextractor, n8n-nodes-base.httprequest, @n8n/n8n-nodes-langchain.lmchatgooglegemini, @n8n/n8n-nodes-langchain.chainsummarization

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ranjan Dailata.

Original n8n.io source

1.1 Workflow description

Title
Extract & analyze brand content with Bright Data and Google Gemini
Workflow name
Extract & analyze brand content with Bright Data and Google Gemini

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:

  1. Brand Managers - Looking to track how their brand is portrayed online.

  2. Marketing Analysts - Seeking insights from competitor and industry content.

  3. PR & Communications Teams - Evaluating media tone and potential reputation risks.

  4. Data Scientists & AI Developers - Automating content intelligence pipelines.

  5. 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.

What this workflow does

  • Receives input: A brand URL for the data extraction and analysis.

  • Uses Bright Data's Web Unlocker to extract content from relevant sites.

  • Cleans and preprocesses the scraped content for readability.

  • Sends the content to Google Gemini for:

    • Enriched results including:

      • Cleaned content

      • Summary

      • Sentiment Analysis

      • Sends the response to a target system via Webhook notification

      • Perists the response to disk

Setup

  • Sign up at Bright Data.
  • Navigate to Proxies & Scraping and create a new Web Unlocker zone by selecting Web Unlocker API under Scraping Solutions.
  • In n8n, configure the Header Auth account under Credentials (Generic Auth Type: Header Authentication). The Value field should be set with the Bearer XXXXXXXXXXXXXX. The XXXXXXXXXXXXXX should be replaced by the Web Unlocker Token.
  • A Google Gemini API key (or access through Vertex AI or proxy).
  • Update the Set URL and Bright Data Zone for setting the brand content URL and the Bright Data Zone name.
  • Update the Webhook HTTP Request node with the Webhook endpoint of your choice.

How to customize this workflow to your needs

  • Update Source : Update the workflow input to read from Google Sheet or Airbase for dynamically tracking multiple brands or topics.

  • AI Prompt Customization : Tailor Gemini prompts for:

    • Summary length (brief vs. detailed)

    • Detailed Sentiment with the custom structured data format.

    • Brand-specific tone detection (e.g., trust, excitement, dissatisfaction)

  • Output Destinations: Configure the output node to send the responses to various platforms, such as Slack, CRM systems, or databases.

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Type / Role
n8n-nodes-base.manualTrigger - manualTrigger
Config choices
Version 1

Block 2 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Markdown to Textual Data Extractor

Type / Role
@n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices
Version 1.6

Block 5 - Set URL and Bright Data Zone

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 6 - AI Sentiment Analyzer with the structured response

Type / Role
@n8n/n8n-nodes-langchain.informationExtractor - informationExtractor
Config choices
Version 1

Block 7 - Initiate a Webhook Notification for Markdown to Textual Data Extraction

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 8 - Initiate a Webhook Notification for AI Sentiment Analyzer

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 9 - Google Gemini Chat Model for Summary

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 10 - Google Gemini Chat Model for Data Extract

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 11 - Google Gemini Chat Model for Sentiment Analyzer

Type / Role
@n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices
Version 1

Block 12 - Initiate a Webhook Notification for Summarization

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 13 - Perform Bright Data Web Request

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 14 - Summarize Content

Type / Role
@n8n/n8n-nodes-langchain.chainSummarization - chainSummarization
Config choices
Version 2

Block 15 - Create a binary data for textual data

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 16 - Create a binary data for sentiment analysis

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 17 - Write the AI Sentiment analysis file to disk

Type / Role
n8n-nodes-base.readWriteFile - readWriteFile
Config choices
Version 1

Block 18 - Write the textual file to disk

Type / Role
n8n-nodes-base.readWriteFile - readWriteFile
Config choices
Version 1

Block 19 - Create a binary data for summary

Type / Role
n8n-nodes-base.function - function
Config choices
Version 1

Block 20 - Write the summary file to disk

Type / Role
n8n-nodes-base.readWriteFile - readWriteFile
Config choices
Version 1

Block 21 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 22 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 23 - Sticky Note4

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

3. Summary Table

Workflow Extract & analyze brand content with Bright Data and Google Gemini
Complexity advanced
Nodes 23
Categories Market Research, AI Summarization
Author Ranjan Dailata
Published 03 May 2025

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/3846/3846.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Extract & analyze brand content with Bright Data and Google Gemini do?

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 a...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.