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"Website Scraping with Python: Using BeautifulSoup and Scrapy" is published by Apress in Sep 15, 2018 - Berkeley, CA and it has 244 pages.


“Website Scraping with Python: Using BeautifulSoup and Scrapy” Metadata:

  • Title: ➤  Website Scraping with Python: Using BeautifulSoup and Scrapy
  • Author:
  • Number of Pages: 244
  • Publisher: Apress
  • Publish Date:
  • Publish Location: Berkeley, CA

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"Website Scraping with Python: Using BeautifulSoup and Scrapy" Description:

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Intro -- Table of Contents -- About the Author -- About the Technical Reviewer -- Acknowledgments -- Introduction -- Chapter 1: Getting Started -- Website Scraping -- Projects for Website Scraping -- Websites Are the Bottleneck -- Tools in This Book -- Preparation -- Terms and Robots -- robots.txt -- Technology of the Website -- Using Chrome Developer Tools -- Set-up -- Tool Considerations -- Starting to Code -- Parsing robots.txt -- Creating a Link Extractor -- Extracting Images -- Summary -- Chapter 2: Enter the Requirements -- The Requirements -- Preparation -- Navigating Through "Meat & fishFish" -- Selecting the Required Information -- Outlining the Application -- Navigating the Website -- Creating the Navigation -- The requests Library -- Installation -- Getting Pages -- Switching to requests -- Putting the Code Together -- Summary -- Chapter 3: Using Beautiful Soup -- Installing Beautiful Soup -- Simple Examples -- Parsing HTML Text -- Parsing Remote HTML -- Parsing a File -- Difference Between find and find_all -- Extracting All Links -- Extracting All Images -- Finding Tags Through Their Attributes -- Finding Multiple Tags Based on Property -- Changing Content -- Adding Tags and Attributes -- Changing Tags and Attributes -- Deleting Tags and Attributes -- Finding Comments -- Conver ting a Soup to HTML Text -- Extracting the Required Information -- Identifying, Extracting, and Calling the Target URLs -- Navigating the Product Pages -- Extracting the Information -- Using Dictionaries -- Using Classes -- Unforeseen Changes -- Exporting the Data -- To CSV -- Quick Glance at the csv Module -- Line Endings -- Headers -- Saving a Dictionary -- Saving a Class -- To JSON -- Quick Glance at the json module -- Saving a Dictionary -- Saving a Class -- To a Relational Database -- To an NoSQL Database -- Installing MongoDB -- Writing to MongoDB

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