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Udemy – Structured Data & Schema Markup for Webmasters

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Udemy – Structured Data & Schema Markup for Webmasters
English | Size: 1.93 GB
Category: Tutorial

What you’ll learn
You’ll understand what rich snippets are and how to create & add the code to your pages so that Google can show them for pages.
You’ll understand what structured data is and how best to implement it on your own website.
You’ll be able to create a wide variety of schema markup from scratch if you want to.
You’ll know how to implement schema using Google Tag Manager.
You’ll be able to install and configure a WordPress plugin to implement structured data on your website. [Read more…]

Linkedin Learning – HTML Structured Semantic Data Online Class

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Linkedin Learning – HTML Structured Semantic Data Online Class-ZH
English | Size: 237.56 MB
Category: Tutorial

Web development focuses on creating highly visual content, but many crawlers ignore the layouts and imagery that give human readers context. To aid Google Search and other bots, you can use structured semantic data. This invisible but critical metadata determines how your sites appear online and can help boost your search rankings. In this course, Jen Kramer shows how to add data structured for machine readers to pages also intended for humans. Learn how to describe content in schemas, use meta tags and leverage tools like the Structured Data Markup Helper and Structured Data Testing Tool both from Google to add microdata and JSON-LD code to your pages. In chapter three, Jen provides several structured data examples as well as a challenge to test your ability to provide rich search results [Read more…]

PluralSight – Extracting Structured Data from the Web Using Scrapy

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PluralSight – Extracting Structured Data from the Web Using Scrapy-full
English | Size: 348.02 MB
Category: Tutorial


Websites contain meaningful information which can drive decisions within your organization. The Scrapy package in Python makes crawling websites to scrape structured content easy and intuitive and at the same time allows crawling to scale to hundreds of thousands of websites. In this course, Extracting Structured Data from the Web Using Scrapy, you will learn how you can scrape raw content from web pages and save them for later use in a structured and meaningful format. You will start off by exploring how Scrapy works and how you can use CSS and XPath selectors in Scrapy to select the relevant portions of any website. You’ll use the Scrapy command shell to prototype the selectors you want to use when building Spiders. Next, you’ll see learn Spiders specify what to crawl, how to crawl, and how to process scraped data. You’ll also learn how you can take your Spiders to the cloud using the Scrapy Cloud. The cloud platform offers advanced scraping functionality including a cutting-edge tool called Portia with which you can build a Spider without writing a single line of code. At the end of this course, you will be able to build your own spiders and crawlers to extract insights from any website on the web. This course uses Scrapy version 1.5 and Python 3.
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Extracting Structured Data from the Web Using Scrapy

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Extracting Structured Data from the Web Using Scrapy
English | Size: 348.05 MB
Category: CBTs


Websites contain meaningful information which can drive decisions within your organization. The Scrapy package in Python makes crawling websites to scrape structured content easy and intuitive and at the same time allows crawling to scale to hundreds of thousands of websites. In this course, Extracting Structured Data from the Web Using Scrapy, you will learn how you can scrape raw content from web pages and save them for later use in a structured and meaningful format. You will start off by exploring how Scrapy works and how you can use CSS and XPath selectors in Scrapy to select the relevant portions of any website. [Read more…]