Yelp Review Analysis with Bright Data and Gemini

This workflow is ideal for:

• Small Business Owners: Who want to gather insights from Yelp reviews to improve their services.
• Marketing Professionals: Seeking to analyze customer feedback for better targeting and campaign strategies.
• Data Analysts: Interested in extracting and summarizing review data for reports or presentations.
• Developers: Looking to integrate Yelp data into their applications for enhanced user experience.

This workflow addresses the challenge of extracting and summarizing Yelp business reviews efficiently. By automating the data extraction process using Bright Data and summarizing it with Google Gemini, users can quickly access actionable insights without manual effort. This helps businesses understand customer sentiments and improve their offerings based on real feedback.

1. Manual Trigger: The workflow starts when the user clicks 'Test workflow'.
2. Set Yelp URL: The user specifies the Yelp URL and Bright Data Zone to scrape data from.
3. HTTP Request: An HTTP request is made to fetch Yelp business reviews using the specified URL.
4. Structured Data Extraction: The fetched reviews are processed to extract structured data, including restaurant name, location, average rating, and detailed reviews.
5. Summarization: The extracted data is then summarized using a Google Gemini chat model, providing a concise overview of the reviews.
6. Merge Responses: The summarized data and structured data are merged for a comprehensive output.
7. Webhook Notification: Finally, the merged response is sent to a specified webhook URL for further processing or notification.