Python Web Scraper for Samsung Products

E-Commerce Price Comparison Web Scraper - Samsung Products UAE
Project Overview
Build a Python web scraper that collects Samsung product data from Amazon.ae and Noon.com/UAE, stores it in Google Sheets, and sends email alerts when prices change by 3% or more.
Project Scope
Data Collection Requirements

Source Websites: Amazon.ae and Noon.com/UAE
Product Category: Samsung products only
Quantity: 50 identical products from each platform
Data Points to Capture:

Product name
Price (AED)
SKU (or ASIN for Amazon)
Product Image URL
Rating (stars/score)
Number of Reviews
URL
Stock status
Last updated timestamp



Core Features

Python Web Scraper

Scrape 50 matching Samsung products from each website using Crawl.ai or BeautifulSoup/Selenium
Identify the same products across both platforms
Use rotating proxies to avoid blocking


Data Processing

Use Deep-Seek to clean and standardize scraped data
Match products across platforms
Validate data quality


Google Sheets Integration

Push scraped data to Google Sheet via Google Sheets API
Schedule regular updates (hourly/daily)
Maintain comparison data across platforms


Price Change Alerts

Trigger email when price changes ≥ 3%
Include: product name, old price, new price, % change, link
Use Gmail API or SendGrid for emails


Automation

Use n8n workflow or AppScript to schedule Python script execution
Alternative: Python APScheduler for cron jobs



Technical Stack

Language: Python 3.x
Web Scraping: Crawl.ai OR BeautifulSoup + Selenium
Data Processing: Deep-Seek API for data refinement
Rotating Proxies: BrightData, Oxylabs, or similar
Google Sheets: Google Sheets API
Emails: Gmail API or SendGrid
Automation: n8n (webhook/scheduler) OR AppScript OR Python APScheduler

Deliverables

Python scripts (well-commented)
Setup guide with configuration instructions
Google Sheet template
n8n/AppScript automation workflow (or cron setup)
Test results showing working scraping + alerts
Documentation on how to modify product list/websites

Ideal Candidate

Python web scraping experience
Familiar with Crawl.ai or BeautifulSoup/Selenium
Google Sheets API knowledge
Email API integration experience
Rotating proxy experience
Familiar with n8n or AppScript scheduling (or APScheduler)
Can start immediately