Amazon Competitor Analysis Tool

A Python-based market research tool that analyzes an Amazon product using its ASIN, scrapes competitor data, stores it locally, and generates AI-driven insights.

Overview

• This tool helps you perform Amazon product market research in minutes. Enter a product ASIN, and the app will automatically:

• scrape the product details

• find competitor listings

• analyze market positioning

• generate AI-driven insights and recommendations

• All results are displayed in a clean Streamlit dashboard.

Key Features

• Scrapes product & competitor data using Oxylabs

• Stores data locally using TinyDB

• Uses OpenAI + LangChain to generate structured insights

• Clean Streamlit UI for interactive analysis

Outputs

The tool generates a detailed market report including:

• Market Summary

• Product Positioning

• Competitor Comparison

• Actionable Recommendations

How It Works

• User enters:

    ASIN
    
    Location (Zip code)
    
    Amazon domain (e.g., amazon.com, amazon.in)
  

• The app scrapes:

    Main product details
    
    Competitor listings
    
    Competitor product details
  

• All data is stored in TinyDB.

• The formatted data is sent to OpenAI via LangChain.

• The AI generates a structured report and displays it in Streamlit.

Ideal Use Cases

Perfect for:

• Market research

• Product positioning analysis

• Competitor benchmarking

• Learning web scraping + LLM integration

• Portfolio or academic projects

Tech Stack

• Oxylabs – Real-time scraping API for Amazon product and competitor data
• requests – HTTP requests to Oxylabs
• Python scraping logic – ASIN-based scraping and competitor extraction
• TinyDB – Local JSON-based database
• os – File handling and directory creation
• datetime – Timestamping stored records
• LangChain ( ChatOpenAI , PromptTemplate , PydanticOutputParser)
• Pydantic ( Structured AI output models (BaseModel, Field))
• dotenv ( Load API keys from .env)