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    Master Web Scraping With Scrapy & Python Step-By-Step

    Posted By: BlackDove
    Master Web Scraping With Scrapy & Python Step-By-Step

    Master Web Scraping With Scrapy & Python Step-By-Step
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + srt | Duration: 96 lectures (7h 32m) | Size: 3.53 GB


    Learn and Master Web Scraping using Scrapy Framework with this Step-By-Step Guide and In-Depth Guide

    What you'll learn
    Define the Steps Involved in Web Scraping and Creating Web Crawlers
    Install and Setup Scrapy in Windows, Mac OS, Ubuntu (Linux) & Anaconda Environments
    Send Request to a URL to Scrape Websites Using Scrapy Spider
    Get the HTML Response From URL and Parse it for Web Scraping
    Select Desired Data From Websites Using Scrapy Selector, CSS Selectors & XPath
    Scrapy Crawl Spiders to Get Data From Websites And Extract it to JSON, CSV, XLSX ( Excel ) and XML Files
    Use Scrapy Shell Commands to Test & Verify CSS Selectors or XPath
    Export and Save Scraped Data to Online Databases Like MonogoDB Using Scrapy Item Pipelines
    Define Scrapy Items to Organize Scraped Data And Load Items Using Scrapy Itemloaders with Input & Output Processors
    Scrape Data From Multiple Web Pages Using Scrapy Pagination And Extract Data From HTML Tables
    Login Into Websites Using Scrapy FormRequest With CSRF Tokens
    Scrape Dynamic/JavaScript Rendered Websites Using Scrapy-Playwright And Interact With Web Elements, Take Screenshot of Websites or Save as PDF
    Identify API Calls From a Website and Scrape Data From API Using Scrapy Request

    Requirements
    Python Programming
    HTML Basics (+point)

    Description
    Web scraping is the process of scraping websites and extracting desired data from the same, and in this course, you'll learn and master web scraping using python and scrapy with a step-by-step and in-depth guide.

    A Step-By-Step Guide

    Assuming that you don't know anything about web scraping, scrapy python web scraping, or even web scraping meaning - we will start from the complete basics. In the first section, you'll learn about the web scraping process step-by-step (with infographics - no code), how to scrape data from websites and how to use scrapy for the same (i.e. scrapy meaning).

    After getting the basics clear and having an idea of how web scraping works, we will start web scraping using python & scrapy framework! Again, we'll move step-by-step and perform each step learned in the basics with bite-sized lessons. We'll take it slow so that it's easier for you to understand each and every step involved in scraping and extracting data from websites.

    Web Scraping & Scrapy Essentials

    Having built an actual web scraper, you'll get an idea of how web scraping works firsthand. Now it's crucial to cover the essential concepts of web scraping and scrapy, which we will do next.

    CSS Selectors to select web elements

    XPath to select web elements

    Scrapy Shell to test & verify selectors

    Items to organize extracted data

    Load Items with ItemLoaders with input & output Processors

    Export data to JSON, CSV, XLSX (Excel) & XML file formats

    Save extracted data to online databases like MongoDB using ItemPipelines

    Master Web Scraping In-Depth

    Learning how to scrape websites and the essentials already makes you a complete web scraper but, we'll take this even further and learn the advanced web scraping techniques to become an expert!

    Follow links in a webpage to another page

    Crawl multiple pages and extract data i.e. Pagination

    Scrape data using Regular Expressions (RegEx)

    Extract Data From HTML Tables

    Login Into Websites Using Scrapy FormRequest

    Bypass CSRF protected Login forms

    Scrape Dynamic or JavaScript Rendered Websites using Scrapy Playwright

    Interact with web elements like fill forms, click buttons, etc.

    Handle Infinite Scroll websites

    Wait For Elements when contents/data takes time to load

    Take Screenshot of websites

    Save websites as PDF

    Identify API calls from websites and scrape data from APIs

    Use middleware in a scrapy project

    Configure settings in a scrapy project

    Use and Rotate User-Agents & Proxies

    Web scraping Best Practices

    Real-World Projects

    After master web scraping, we need projects to get started! That's why you'll perform three projects as well

    Champions League Table[ ESPN ]

    Product Tracker[ Amazon ]

    Scraper Application[ GUI ]

    Join us in this in-depth course where you'll learn about web scraping from scratch and master the process of extracting data from websites step-by-step. Check out the preview lessons to get started and learn how web scraping works! See you there~

    Who this course is for
    Beginner Python Developers Who Wants to Master Web Scraping
    Freelancer Web Scrapers Looking To Polish Their Skills