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Final ProjectAdvanced•4-5 hours

Web Scraper & Data Collector

Comprehensive web scraping application for collecting and analyzing data from websites.

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📋 Project Overview

Create a versatile web scraping tool that collects data from websites, parses HTML, extracts information, stores data, and performs analysis. This project demonstrates working with external libraries, HTML parsing, and data processing.

🎯 Learning Objectives

  • Understand web scraping ethics and robots.txt
  • Use requests library for HTTP requests
  • Parse HTML with BeautifulSoup
  • Extract data from web pages
  • Store data in multiple formats
  • Implement rate limiting
  • Analyze scraped data

✨ Features to Implement

CoreMust-Have Features

  • ✓Fetch web pages with requests
  • ✓Parse HTML content
  • ✓Extract specific data elements
  • ✓Save data to JSON
  • ✓Handle HTTP errors gracefully

EnhancedRecommended Features

  • ◉Scrape multiple pages
  • ◉Rate limiting between requests
  • ◉Export to CSV format
  • ◉Data cleaning and validation
  • ◉Statistical analysis of data

BonusChallenge Features

  • ⭐Multiple scraper types
  • ⭐Scraping scheduler
  • ⭐Data visualization
  • ⭐Error logging system
  • ⭐Concurrent scraping
  • ⭐Data comparison tools

🗂️ Data Structure

Example of how to structure your data:

{
    "url": "https://example.com",
    "title": "Example Page",
    "scraped_at": "2024-12-12 10:30:00",
    "data": {...}
}

🛠️ Implementation Guide

✅ Testing Checklist

Make sure all these work before considering your project complete:

☐Web pages fetch successfully
☐HTML parses correctly
☐Data extracts accurately
☐Rate limiting prevents overload
☐Data saves to files
☐Error handling works

📊 Project Info

Difficulty

Advanced

Estimated Time

4-5 hours

Prerequisites

Modules 1-6

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💡 Tips for Success

  • ✓Start with core features first
  • ✓Test each function as you build
  • ✓Use meaningful variable names
  • ✓Handle errors gracefully
  • ✓Add comments for complex logic
  • ✓Take breaks when stuck