Using Scraping Browser and GPT for actionable product insights

Extract reviews from a specific product page Udemy using Bright Data, Scraping Browser and GPT to analyze them to offer business insights.

Using Bright Data Scraping Browser and GPT (Generative Pre-trained Transformers) to gather valuable insights about products, whether yours or any other competitor, is vital to gain actionable insights that will improve customer’s needs and boost sales as a result of the feedback; both negative and positive for analysis.

As an example, this project demonstrate how suggestions from GPT can be helpful from reviews posted by users on the Udemy learning platform.

Try Bright Data today!

Demo

Try the demo live

Tech Stack

Chat GPT

Client: React, Tailwind CSS

Server: Node.js

Infrastructure(Web Scraping): Bright Data

Want to follow the steps? Check out this tutorial:

Using Scraping Browser and GPT for Actionable Product Insights

Run Locally

Clone the project

  git clone https://github.com/Terieyenike/extract-reviews

Environment variables

To run this project, you will need to add the following environment variables to your .env file

Reference the .env.local

Authors

• @terieyenike