Mastering web scraping can feel like an uphill battle when many websites actively block scrapers and ban IP addresses. Fortunately, there are dedicated web scraping sandboxes designed for practice, along with real-world sites that allow occasional requests.
Whether you're a beginner learning the ropes or an experienced scraper refining your skills, this post highlights the best websites for hands-on scraping practice and explores essential tools and techniques to level up your data extraction game.
Web scraping is the automated process of extracting data from public websites, helping businesses and individuals gather data on a large scale with speed for data-driven projects. From tracking price changes on e-commerce sites to compiling research data or monitoring news trends — there are endless use cases for public web data.
When selecting web scraping tools, your options depend on the programming language and whether the content you want to scrape is static or dynamic. Let’s overview common open-source tools for the most popular programming languages:
Language | Scraping static pages | Scraping dynamic pages |
---|---|---|
Python | requests, async and aiohttp, BeautifulSoup, lxml, Scrapy | Selenium, Playwright, Scrapy and Splash |
JavaScript (Node.js) | Axios, Fetch API, Cheerio | Puppeteer, Playwright, Selenium |
Ruby | HTTParty, Nokogiri | Selenium, Watir, Capybara |
Java | Jsoup | HtmlUnit, Selenium, Playwright |
PHP | Goutte, Guzzle, Simple HTML DOM Parser | Selenium, Panther |
If you’re looking for ease-of-use and scalable scraping, check out the best free web scrapers that may suit your project needs.
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One integral part of web scraping is distributing web requests across multiple IP addresses. This is exactly what proxy servers do, helping a web scraper run smoothly by switching IP addresses and reducing the chances of IP blocks or CAPTCHAs. Additionally, proxies are usually located around the world, which means you can access localized or geo-restricted web content as if you were browsing from a specific location.
Oxylabs’ Scraping Sandbox is a demo e-commerce platform designed to help you practice web scraping techniques on search results and product pages. This sandbox environment features a catalog of over 3,000 products and includes dynamic elements that load content using JavaScript, simulating the challenges of modern websites.
You can hone your scraping skills by extracting data from product listings, navigating through categories, handling pagination, and utilizing search queries. For a deeper dive, use your browser’s Developer Tools to discover a demo API that returns all the data in a structured JSON format.
Toscrape is another sandbox site dedicated to practicing web scraping across various scenarios. It features a fictional bookstore and popular quotes site with challenges like infinite scroll, JavaScript-rendered content, tables, login pages, and AJAX-based filters.
You can tackle dynamic content, pagination, and structured data extraction, making Toscrape a versatile platform for refining your web scraping expertise.
From scraping static tables to handling dynamic content, the Scrape This Site sandbox environment features exercises like navigating paginated databases, extracting AJAX-loaded data, and dealing with JavaScript-rendered elements.
You can also refine advanced scraping skills by spoofing headers, interacting with login pages, and finding and using CSRF tokens. Whether you’re a beginner or an experienced scraper, Scrape This Site offers a hands-on way to simulate and overcome common web scraping obstacles.
Wikipedia is an excellent resource for web scraping practice, thanks to its structured and static HTML. It provides a wealth of publicly available data, including article text, titles, infoboxes, tables, links, and images. This makes it ideal for developing your skills by building large-scale crawlers that can navigate internal links and categories to gather diverse content types.
Remember to scrape responsibly by implementing proper delays between requests and respecting rate limits. You can check Wikipedia’s robots.txt file to learn more about their scraping rules.
Yahoo Finance is a prominent platform for web scraping practice, featuring a mix of static and dynamic content like news articles and most active stocks. These pages contain elements like titles, descriptions, and tables, helping you develop fundamental skills for handling both text and numerical data. As with any real website, scrape responsibly and respect rate limits to avoid overwhelming Yahoo’s servers.
When it comes to applying your web scraping skills outside sandbox websites, you are likely to face at least several difficulties listed below:
Anti-scraping mechanisms: Websites use a sophisticated suite of techniques like IP blocking, rate-limiting, and CAPTCHAs to detect and block web scrapers.
Dynamic content: Sites relying on JavaScript for content rendering can hide data from static HTML scrapers.
Frequent HTML changes: Websites often change their HTML structure, elements, and CSS classes, in turn breaking scrapers that rely on fixed or overly specific selectors.
Rate limits: Sending too many requests in a short period can lead to temporary or permanent IP bans.
CAPTCHA challenges: Many sites deploy CAPTCHAs to verify if requests are coming from real users.
IP blocking: Repeated requests from the same IP address can lead to blocks or bans.
Session and cookie management: Some sites require maintaining sessions or cookies to access content consistently.
Bot detection algorithms: Advanced systems use behavior analysis and fingerprinting to detect automated activity.
Thankfully, there are proven methods and tools that can ease the entire web scraping process and help overcome difficulties:
Use web scraping tools hosted on a cloud. Cloud-based web scraping tools, such as Oxylabs’ Web Scraper API, allow you to offload the scraping infrastructure to a scalable environment with integrated IP rotation and other smart features. You can handle large data extraction tasks, forget about infrastructure management and various web scraping difficulties, and speed up your data collection through parallel processes.
Utilize high-quality rotating proxy servers. Consider implementing rotating Residential Proxies for block-free access to websites using your custom scraper. For a higher speed at the cost of lower anonymity, you may want to integrate Dedicated Datacenter Proxies or Datacenter Proxies.
Incorporate headless browsers. Sending web requests through a headless browser can help you mimic real user behavior and overcome anti-scraping measures. While headless browsers may still need proxy servers for block-free scraping, they significantly reduce the likelihood of being blocked.
Scraping sandboxes mentioned in this article are designed to teach you the fundamentals of web scraping, giving you a safe environment to practice and refine your skills. The great news is that the techniques, strategies, and problem-solving approaches you learn in these sandboxes are directly applicable to real-world websites.
Before diving into real-world projects, you might want to explore the legal landscape — check out this guide on whether web scraping is legal to help you navigate the dos and don'ts.
Here are some of the best websites for scraping useful data you may want to consider:
Amazon: You may find it valuable to gather search results, product listings, reviews, Q&A details, seller information, deals and promotions, best sellers, and products.
eBay: It contains useful e-commerce data from search results, product listings, seller information, bidding details, user reviews, and promotional offers.
Google: Offers search engine result pages (SERPs), images, news, business listings, hotel listings, reviews, and featured snippets.
Zillow: You may benefit from gathering search results, property details, images, agent information, rental estimates, and historical price trends.
Walmart: Another e-commerce site containing insightful search results, product listings, reviews, ratings, inventory availability, and seller information.
About the author
Vytenis Kaubrė
Technical Copywriter
Vytenis Kaubrė is a Technical Copywriter at Oxylabs. His love for creative writing and a growing interest in technology fuels his daily work, where he crafts technical content and web scrapers with Oxylabs’ solutions. Off duty, you might catch him working on personal projects, coding with Python, or jamming on his electric guitar.
All information on Oxylabs Blog is provided on an "as is" basis and for informational purposes only. We make no representation and disclaim all liability with respect to your use of any information contained on Oxylabs Blog or any third-party websites that may be linked therein. Before engaging in scraping activities of any kind you should consult your legal advisors and carefully read the particular website's terms of service or receive a scraping license.
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