Scrape Trustpilot Reviews Using Bright Data & GPT-4o-mini for Winning Ad Copy
๐ Competitor Review Scraper & Ad Copy Generator (Trustpilot + Bright Data + GPT-4o-mini)
๐ Who It's For Marketers, business owners, and agencies looking to:
Analyze competitor pain points
Generate high-impact Facebook ad copy
Automate manual data processing
๐งฉ How It Works This n8n-based workflow combines Bright Data, Google Sheets, and OpenAI to scrape, process, and transform Trustpilot reviews into ready-to-use ad copy.
๐น Step-by-Step Breakdown Trigger (Manual Form Submission) Input required:
Competitorโs Trustpilot URL
Review timeframe (30d, 3m, 6m, 12m)
Fetch Reviews
Calls Bright Dataโs Dataset API with URL & timeframe
Polls until snapshot is ready
Retrieve & Store
Extracts all reviews
Saves them into a structured Google Sheet
Filter & Aggregate
Filters to only 1โ2 star reviews
Summarizes common negative feedback
Generate Ad Copy
Sends the summary to OpenAI GPT-4o-mini
Produces 3 variations of ad copy targeting pain points
Distribute Insights
Sends ad copy + summary via email to the marketing team
โ Requirements
-LLM Account -Google Sheets - Copy this sheet: https://docs.google.com/spreadsheets/d/1Zi758ds2_aWzvbDYqwuGiQNaurLgs-leS9wjLWWlbUU/edit?gid=0#gid=0
-Bright Data account
โ๏ธ Setup Instructions **Step 1: Google Sheets ** Copy this Google Sheets template
Do not change column headers
**Step 2: n8n Credential Setup ** Google Sheets: OAuth2
Bright Data: Authorization Header
OpenAI: API Key for GPT-4o-mini
**Step 3: Import Workflow ** Import the .json file into n8n
Configure your sheet + dataset ID
Adjust GPT prompts as needed
**Step 4: Run the Workflow ** Trigger via form
Receive ad copy + review insights via email
๐ง Tips & Best Practices Bright Data snapshots may take time โ polling is handled
Focusing on 1โ2 star reviews yields the most actionable pain points
You can customize GPT-4o-mini prompts for tone or vertical
๐ฌ Support & Feedback Need help or customization?
๐ง Email: Yaron@nofluff.online ๐บ YouTube: @YaronBeen ๐ LinkedIn: linkedin.com/in/yaronbeen
๐ Bright Data Docs: docs.brightdata.com/introduction
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