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.

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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