Advanced Web Scraping with Python using Scrapy & Splash

The most advanced web scraping & crawling course using Scrapy & Splash! Take your web scraping skills to the next level.
4.40 (498 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Advanced Web Scraping with Python using Scrapy & Splash
7 258
students
5.5 hours
content
Aug 2020
last update
$84.99
regular price

Why take this course?

🎉 Advanced Web Scraping with Python using Scrapy & Splash 🎉

🚀 Course Headline: Take your web scraping skills to the next level with our advanced course on Scrapy & Splash – Dive into complex projects and become a master of efficient, real-world scraping!

👋 Introduction: Welcome to the most advanced online resource on Web Scraping with Python using Scrapy & Splash! This course is a deep dive into the world of web scraping for those who already have a grasp of the basics. If you're new to web scraping, Scrapy, Splash, or XPath expressions, this isn't the place to start – we're moving at lightning speed with real-world projects!

🔍 What You'll Learn: This course is packed with advanced topics and hands-on projects. Here's a sneak peek at what's in store for you:

  • 🚀 Requests Chaining: Master the art of sending requests in an order that ensures success every time.
  • 🕵️‍♂️ Website Analysis: Learn how to analyze a website before scraping it to choose the right tools and optimize your performance.
  • 🛠️ Optimizing Splash Scripts: Reduce unnecessary requests to bypass 504 Gateway Timeout errors and enhance Splash's performance.
  • 💻 Building a Cluster of Splash Instances: Set up a cluster with a load balancer (like HAProxy) to avoid overloading a single instance and to handle 504 errors gracefully.
  • 📊 Heavy Data Processing: Understand how to use input & output processors to clean your scraped data points, ensuring the quality of your feeds.
  • ScrapyRT: Utilize Scrapy RealTime for real-time data fetching.
  • 🌐 Web App Development: Showcase your scraped data in a minimalist web app using ScrapyRT & Flask.
  • 🧩 Bypassing Google ReCaptcha: Learn legitimate techniques to make your requests appear as if they're coming from a real browser and a human user.
  • ⚫️ Building Clean Spiders: Write spiders that are both clean and high-performing, setting you apart from the competition.
  • 💾 Desktop App Creation: Develop a desktop app using Tkinter to execute all your Scrapy spiders easily.

🎓 Course Highlights: This course is designed for focused learners who are ready to dive into advanced topics without the fluff. There are no filler projects or simple examples – just meaty, real-world scenarios that will sharpen your skills and set you apart as a web scraping specialist.

By the end of this course, you'll be able to:

  • Write high-performing Scrapy spiders with ease.
  • Bypass common hurdles like Google ReCaptcha in a legitimate way.
  • Deliver user-friendly spiders with a graphical user interface (GUI) or real-time web applications.
  • Stand out as a freelancer with the ability to offer clean, efficient scraping solutions.

🤝 Join Us: Don't miss this opportunity to master advanced web scraping techniques with Scrapy & Splash. Let's harvest the web together and elevate your data extraction skills to new heights! 🚀

Enroll now and let's embark on this journey to become a true web scraping expert! 🌟

Course Gallery

Advanced Web Scraping with Python using Scrapy & Splash – Screenshot 1
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Comidoc Review

Our Verdict

The Advanced Web Scraping with Python using Scrapy & Splash course on Udemy delivers advanced techniques and practical knowledge in web scraping, as shown by its high global rating. However, students should be prepared to tackle some challenges, such as outdated content and technical issues related to Docker setup. Despite potential drawbacks, learners benefit from the course's emphasis on best practices for analyzing websites, optimizing Splash scripts, and handling recaptchas, making this a valuable investment for aspiring web scraping professionals.

What We Liked

  • In-depth coverage of advanced web scraping techniques using Scrapy & Splash
  • Real-time code writing and error explanation by the instructor
  • Focus on best practices and solutions for common issues like 504 HTTP errors, Google ReCaptcha, and heavy data processing
  • Access to a supportive community of learners via a Facebook group

Potential Drawbacks

  • Some course content may be outdated or require user adjustments from video lessons
  • Learners should have foundational knowledge in Python before enrolling
  • Docker setup and usage can present challenges, particularly on non-Windows 10 systems
  • Minimal guidance provided for converting projects using Tkinter, Flask, or Selenium into client-ready applications

Related Topics

2376786
udemy ID
20/05/2019
course created date
18/01/2020
course indexed date
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