Web Scraping is the process of automatically extracting data from websites. This category covers tutorials, tools, libraries (like Python, BeautifulSoup, Playwright, and Selenium), anti-bot bypassing, legal considerations, and best practices for efficient and ethical data scraping.
In today’s competitive e-commerce landscape, shoppers want the best deals, and businesses need to monitor competitors’ pricing. A price comparison tool can automate this process by scraping product data from multiple websites and presenting it in a structured format. In this guide, we’ll walk through how to build a Python-based price comparison tool using web scraping techniques. We’ll cover: Choosing the … Read more
Web scraping is a powerful tool for data extraction, but many websites employ Cloudflare’s anti-bot protection to block automated requests. Cloudflare can present challenges like CAPTCHAs, JavaScript challenges, and IP bans. In this guide, we’ll explore how to bypass Cloudflare protection and scrape data from such sites using Python. Why Cloudflare Blocks Web Scrapers Cloudflare … Read more
If you’ve ever tried scraping a website at scale, you’ve probably hit a roadblock: IP bans. Websites block suspicious traffic, and if you send too many requests from the same IP, you’ll get blacklisted.That’s where proxy servers come in. They mask your real IP, distribute requests across multiple addresses, and help you scrape without getting blocked. Looking for a … Read more
In the world of web scraping, one of the most common challenges developers face is dealing with websites that heavily rely on JavaScript to render content. Traditional scraping tools like requests and lxml fall short when it comes to dynamic content. That’s where tools like Playwright come in. In this blog, we’ll explore how to … Read more
Web scraping has become an essential skill for developers, data scientists, and businesses alike. Whether you’re tracking prices, gathering leads, or analyzing trends, Python offers powerful tools to make web scraping more efficient and accessible. As of 2025, the landscape of scraping libraries has evolved — here are the top 5 Python libraries you should … Read more
If you’ve ever manually searched job boards every day, you’ll know how time-consuming and repetitive it can be. In this blog, I’ll walk you through how I automated this process by building a job scraper that collects job listings from platforms like LinkedIn or Indeed and saves the data for further analysis. Whether you’re a … Read more
Have you ever wanted to extract real estate data like price, address, or the number of bedrooms directly from Zillow? In this post, I’ll walk you through how I built a scraper that does exactly that—starting from collecting all Zillow listing IDs in a specific area to extracting detailed property data from each listing. 🚨 … Read more
Unlock the Power of Advanced Web Scraping Web scraping is a powerful tool for extracting data from websites, but as you move beyond basic scraping tasks, you’ll encounter challenges like dynamic content, anti-bot measures, and large-scale data extraction. In this guide, we’ll explore advanced web scraping techniques, including handling JavaScript-rendered pages, bypassing anti-scraping mechanisms, and optimizing … Read more
Introduction to Web Scraping Web scraping is a powerful technique used to extract data from websites. Whether you’re a data analyst, developer, or just curious about automating web data collection, Python makes it easy. In this beginner’s guide, we’ll walk through the basics of web scraping using Python and some popular libraries like requests and … Read more
ScrapeWithMe is your go-to destination for learning everything about web scraping. From beginner-friendly tutorials to advanced scraping techniques, we help you master data extraction using Python and modern tools like BeautifulSoup, Selenium, Scrapy, and more. Stay updated, stay scraping!
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