Scrapy Mastery Course - Become A Python Web Scraping Machine

COMPLETE Beginner to Expert Guide to Making Web Scraping Using Scrapy Python Framework with Zero Experience

What you'll learn

Beginner's guide to web scraping with Python

Introduction to Scrapy web scraping framework

Managing data pipelines in Scrapy framework

Utilizing XPath and CSS selectors in web scraping with Python

Mastering Scrapy spider for effective data extraction

Building a robust web scraper with Scrapy and Python

Advanced techniques for web scraping with Scrapy

Exciting Python web scraping projects for beginners

Extracting data from websites using Scrapy framework

Mastering web scraping with Python, Scrapy, and Selenium

Requirements

Some Python background or basics

HTML Basics (+point)

Internet access

Description

Learn the art of web scraping with Python and unleash the power of data extraction! In this comprehensive course on Udemy, beginners will be guided through the fundamentals of Python web scraping, while seasoned developers will delve into advanced techniques for successful data mining. Discover the incredible capabilities of the Scrapy framework as you master the art of efficient website crawling and dynamic data extraction. With step-by-step tutorials, you'll learn how to navigate through AJAX requests, handle APIs, and manage data pipelines like a pro. Whether you're a beginner or an experienced developer, this course is your ultimate guide to becoming a web scraping expert. Enroll now and unlock the secrets to building a powerful web scraper with Python and the Scrapy framework!Discover how to build a robust web scraper, combine Scrapy with Selenium for efficient scraping, and leverage BeautifulSoup for powerful data extraction. Dive into practical examples such as analyzing news media, extracting addresses product data, and performing sentiment analysis on news articles.Building scalable web scrapers with Python, Scrapy, and parallel processingComprehensive guide to web scraping with Python: Scrapy and data extractionPractical web scraping projects with Python, Scrapy, and data visualizationIn-depth exploration of Scrapy framework for web scrapingTake your web scraping skills to the next level with advanced techniques. Follow links in webpages, crawl multiple pages, and extract data with pagination. Use Regular Expressions (RegEx) to scrape data, extract information from HTML tables, and login into websites using Scrapy FormRequest. Learn how to bypass CSRF-protected login forms and scrape dynamic or JavaScript-rendered websites using Scrapy Playwright. Interact with web elements, handle infinite scroll websites, wait for elements to load, take screenshots of websites, and save websites as PDFs.With a focus on efficiency and scalability, you'll also explore parallel processing and machine learning integration. From SEO optimization to news big media, this course covers a wide range of real-world applications for web scraping.Discover how to use CSS Selectors and XPath to select web elements, and test and verify selectors using Scrapy Shell. Organize your extracted data using Items, and load them with ItemLoaders and input/output Processors. Export your data to various file formats such as JSON, CSV, XLSX (Excel), and XML, or save it to online databases like MongoDB using ItemPipelines.Go even further by identifying API calls from websites and scraping data from APIs. Explore the use of middleware and configure settings in a Scrapy project. Learn how to rotate user agents and proxies for enhanced web scraping performance. Finally, discover web scraping best practices for efficient and effective data extraction.ADD TO CART now and get closer to becoming an expert in Python web scraping with Scrapy

Overview

Section 1: Introduction

Lecture 1 How to learn to stop worrying and love the stuff

Lecture 2 What you should know?

Section 2: Basic Web Scraping

Lecture 3 What is web scraping

Lecture 4 A brief summary on how the internet works

Lecture 5 Hello word with Scrapy

Lecture 6 Challenge of scraping all data from a page

Lecture 7 Solution of Scraping all data on a page

Section 3: Learning to crawl

Lecture 8 Crawling a website

Lecture 9 Recording data

Lecture 10 Scrapy settings file

Lecture 11 Structuring your scrapers for extensibility reusability

Lecture 12 Challenge Scraping news sites

Lecture 13 Must watch this - QUICK REMINDER !

Lecture 14 Solution Scraping news sites

Section 4: Advanced Techniques

Lecture 15 Submitting a form

Lecture 16 Finding and using hidden APIs

Lecture 17 Site maps and robots.txt

Lecture 18 Challenge Using CNNs sitemap

Lecture 19 Solution Using CNNs sitemap

Section 5: Acting Human

Lecture 20 Logging in

Lecture 21 Browser automation with Selenium

Lecture 22 Interacting with a page

Section 6: Next Step

Lecture 23 Great journey

Beginners who want to learn the fundamentals of web scraping and Python programming.,Seasoned developers who want to expand their skills and learn advanced techniques in web scraping.,Data analysts and researchers who need to extract data from websites for analysis.,Business professionals who want to leverage web scraping for market research, competitor analysis, or data-driven decision making.,SEO specialists who want to optimize websites for search engines by analyzing competitor data and extracting relevant information.,E-commerce professionals who need to extract product data, prices, and reviews from multiple websites for price comparison or market analysis.,Data scientists who want to collect large amounts of data for machine learning and predictive modeling.,Anyone interested in learning how to extract data from websites for personal projects or career advancement.