πŸ“Š Extract & analyze brand content with Bright Data and Google Gemini

⚑ 639 views Β· πŸ“Š Market Research & Insights

πŸ’‘ Pro Tip β€” HTTP Request scraping tends to break when sites update their markup. If you’re scraping a major platform, check if ScraperNode covers it β€” it has maintained scrapers for LinkedIn, Instagram, TikTok, YouTube, and 20+ other platforms that return structured data.

View All Scrapers

Description

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:

What this workflow does

Setup

How to customize this workflow to your needs

πŸ”— Nodes Used

Function, HTTP Request, Summarization Chain, Basic LLM Chain, Read/Write Files from Disk, Google Gemini Chat Model

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup