Easy Scrape

TRANSFORMING DATA EXTRACTION: "A GAME-CHANGING SOLUTION"

Application Description

Web Parser Description

Table of Contents

List

• Application Description
• Table of Contents
• Application Deployed
• Project Demo
• Screenshots
• Technology Stack
• Features
• Market Value
• How to use the app
• Collaborators
• Hackathon Link
• References
• License

Demo App URL:

https://web-parser.vercel.app/

Server:

https://flask-server-0987-5a52a4e45237.herokuapp.com/

Video Demo

View the Demo App

Screenshots

Technology Stack

Technology	Description
React	Frontend Library
Flask	Backend framework
Stable Code	LLM generative AI product for coding
Gpt3.5	Open AI LLM
Deployment	Heroku,Vercel

Features

1. Robust HTML Parsing.

2. Customizable Data Extraction

3. Element Selection

4. AI-Enhanced Parsing & Scalability

5. Advanced AI Insights (Permium)

6. Cognitive Search Capabilities (Permium)

Market Value

How to use the app

Step #1 - Clone the project

$ git clone https://github.com/faranbutt/Web-Parser

Step #2

• To start the frontend, run: npm run dev

• For Backend, Install dependencies using: pip install -r Backend/requirements.txt

• To start the backend, run: python server/server.py or python3 Backend/server/server.py

• Open http://localhost:5173/ in your browser and start using

Authors

Name	Link
Dhairya Shah	https://www.linkedin.com/in/dhairya-shah/
Faran Taimoor Butt	https://www.linkedin.com/in/faranbutt/
Homan	https://www.linkedin.com/in/homan-mirgolbabaee/
Timothé Laborie	https://github.com/timothelaborie
Amna Islam	https://github.com/amna-islam-233639116
Zain Ramzan	https://github.com/zain-ramzan

Hackathon Link

Hackathon Submission

License