Extracting Structured Data from the Web Using Scrapy from Pluralsight

Data analysts and scientists are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable.

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.

What's inside

Syllabus

Course Overview

Getting Started Scraping Web Sites Using Scrapy

Using Spiders to Crawl Sites

Building Crawlers Using Built-in Services in Scrapy

Deploying Crawlers Using Scrapy Cloud

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Python and the Scrapy package, which are widely used for web scraping

Taught by Janani Ravi, who is recognized for their expertise in web scraping

Develops skills in extracting structured data from websites, which is highly relevant in data analysis and science

Covers essential concepts like CSS and XPath selectors, which are fundamental for web scraping

Introduces Scrapy Cloud, a platform that provides advanced scraping functionality and allows for scaling

Requires Python 3 and Scrapy version 1.5, which are older versions

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Extracting Structured Data from the Web Using Scrapy with these activities:

Review Python basics

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Revisiting the fundamentals of Python will provide a stronger foundation for understanding Scrapy's underlying mechanisms.

Browse courses on Python

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Review Python data types and structures
Practice writing simple Python programs

Follow Scrapy tutorials

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Working through guided tutorials will provide hands-on experience with Scrapy, making it easier to apply concepts learned in the course.

Browse courses on Scrapy

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Find Scrapy tutorials online or in the documentation
Follow the tutorials step-by-step
Experiment with different Scrapy features

Attend Scrapy meetups or conferences

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Attending events focused on Scrapy will provide opportunities to connect with experts, learn about new developments, and exchange knowledge.

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Find Scrapy meetups or conferences in your area
Attend the events and participate in discussions
Network with other Scrapy users

Four other activities

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Practice web scraping with Scrapy

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Regular practice with Scrapy will enhance proficiency in web scraping, enabling better application of the techniques covered in the course.

Browse courses on Scrapy

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Identify websites with relevant data
Write Scrapy spiders to extract data from the websites
Parse and analyze the extracted data

Write a blog post or article on web scraping with Scrapy

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Creating written content on Scrapy will reinforce understanding and allow for sharing knowledge with others, potentially leading to improved retention and deeper learning.

Browse courses on Scrapy

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Choose a specific topic related to Scrapy web scraping
Research and gather information on the topic
Write a clear and concise blog post or article
Publish and share the content with others

Create a presentation on a web scraping use case

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Developing a presentation on a web scraping use case will require researching, synthesizing, and communicating knowledge, leading to improved understanding and retention.

Browse courses on Scrapy

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Identify a real-world use case for web scraping
Gather and analyze data using Scrapy
Create a presentation that explains the use case and presents the results
Present the findings to an audience

Build a web scraping project

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Undertaking a web scraping project will provide practical experience in applying Scrapy skills, leading to a deeper understanding and improved retention.

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Define the scope and objectives of the project
Gather and analyze data from multiple websites using Scrapy
Clean and process the extracted data
Visualize and analyze the results

Career center

Learners who complete Extracting Structured Data from the Web Using Scrapy will develop knowledge and skills that may be useful to these careers:

Data Analyst

The Scrapy package in Python makes extracting raw web content easy and scalable. Data Analysts are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. This course will help you build your own spiders and crawlers to extract insights from any website on the web.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web.

See salaries and explore the career path for Data Scientist

Web Developer

Web Developers use CSS and XPath selectors on a daily basis. The Scrapy package in Python allows you to use these selectors to crawl and extract data from websites, which can be very useful for web development. This course will help you build your own spiders and crawlers to extract insights from any website on the web.

See salaries and explore the career path for Web Developer

Information Security Analyst

Information Security Analysts use data to protect their organization's information systems from unauthorized access, use, disclosure, disruption, modification, or destruction. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web.

See salaries and explore the career path for Information Security Analyst

Market Researcher

Market Researchers are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Market Researcher

Business Analyst

Business Analysts are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Business Analyst

Data Engineer

Data Engineers are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Data Engineer

SEO Specialist

SEO Specialists use data to optimize websites for search engines. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for SEO Specialist

Product Manager

Product Managers are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Product Manager

Software Engineer

Software Engineers use CSS and XPath selectors on a daily basis. The Scrapy package in Python allows you to use these selectors to crawl and extract data from websites, which can be very useful for software development. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Software Engineer

Data Journalist

Data Journalists use data to tell stories. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web.

See salaries and explore the career path for Data Journalist

Financial Analyst

Financial Analysts are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Financial Analyst

UX Designer

UX Designers use data to improve the user experience of websites and applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web.

See salaries and explore the career path for UX Designer

Marketing Manager

Marketing Managers are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Marketing Manager

Business Intelligence Analyst

Business Intelligence Analysts are always on the lookout for new sources of data, competitive intelligence, and new signals for proprietary models in applications. The Scrapy package in Python makes extracting raw web content easy and scalable. This course will help you build your own spiders and crawlers to extract insights from any website on the web..

See salaries and explore the career path for Business Intelligence Analyst