Personal Project•2020-2021

Automated Web Scraping System

Comprehensive web scraping solution for automated data extraction from various websites including legal databases, real estate platforms, and e-commerce sites

Project Overview

Developed a comprehensive web scraping automation system to extract structured data from various types of websites. The system was designed to handle different data sources including legal databases, real estate listings, and e-commerce platforms.

The solution included advanced anti-detection mechanisms, data validation, storage systems, and automated reporting capabilities for continuous monitoring and data collection.

Technical Implementation

Core Scraping Framework

  • •Python-based scraping engine using Selenium and BeautifulSoup
  • •Multi-threaded architecture for concurrent data extraction
  • •Headless browser automation with Chrome WebDriver
  • •Dynamic content handling with JavaScript execution

Anti-Detection Mechanisms

  • •Rotating proxy servers to mask IP addresses
  • •User-Agent rotation and header spoofing
  • •Random delays and human-like browsing patterns
  • •CAPTCHA detection and handling strategies

Data Processing & Storage

  • •Structured data extraction with CSS selectors and XPath
  • •Data validation and cleaning algorithms
  • •SQLite database for local storage and PostgreSQL for production
  • •CSV and JSON export capabilities

Target Websites & Use Cases

Legal Databases

Court decisions, legal precedents, and regulatory documents extraction

Real Estate Platforms

Property listings, prices, and market trend analysis

E-commerce Sites

Product information, pricing, and inventory monitoring

News & Content Sites

Article extraction and content aggregation

Technologies & Tools

Python
Selenium
BeautifulSoup
Requests
SQLite
PostgreSQL
Chrome WebDriver
Pandas
Threading
JSON
CSV
XPath
Proxy Rotation
User-Agent Spoofing
CAPTCHA Handling
Regex

Technical Challenges & Solutions

Key Challenges

  • •Anti-bot detection systems
  • •Dynamic content loading with JavaScript
  • •Rate limiting and IP blocking
  • •Data structure variations across sites

Implemented Solutions

  • •Advanced stealth techniques and proxy rotation
  • •Selenium WebDriver for JavaScript execution
  • •Intelligent delay patterns and request throttling
  • •Flexible parser architecture with fallback strategies

System Architecture & Workflow

Modular Design

Modular scraper components for different website types, allowing easy extension and maintenance of the scraping system.

Automated Scheduling

Cron-based scheduling system for regular data updates with configurable intervals and retry mechanisms.

Quality Assurance

Built-in data validation, duplicate detection, and quality scoring to ensure high-quality extracted data.

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