Subscription

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Conferences

Free Learning

Hands-On Web Scraping with Python: Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others

Chapagain

$19.99 per month

4 (11 Ratings)

Paperback Jul 2019 350 pages 1st Edition

Chapagain

$19.99 per month

4 (11 Ratings)

Paperback Jul 2019 350 pages 1st Edition

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

Subscribe now

View plans & pricing

View table of contents

Preview Book

Download Code

Key benefits

Learn different scraping techniques using a range of Python libraries such as Scrapy and Beautiful Soup
Build scrapers and crawlers to extract relevant information from the web
Automate web scraping operations to bridge the accuracy gap and manage complex business needs

Description

Web scraping is an essential technique used in many organizations to gather valuable data from web pages. This book will enable you to delve into web scraping techniques and methodologies. The book will introduce you to the fundamental concepts of web scraping techniques and how they can be applied to multiple sets of web pages. You'll use powerful libraries from the Python ecosystem such as Scrapy, lxml, pyquery, and bs4 to carry out web scraping operations. You will then get up to speed with simple to intermediate scraping operations such as identifying information from web pages and using patterns or attributes to retrieve information. This book adopts a practical approach to web scraping concepts and tools, guiding you through a series of use cases and showing you how to use the best tools and techniques to efficiently scrape web pages. You'll even cover the use of other popular web scraping tools, such as Selenium, Regex, and web-based APIs. By the end of this book, you will have learned how to efficiently scrape the web using different techniques with Python and other popular tools.

Who is this book for?

This book is for Python programmers, data analysts, web scraping newbies, and anyone who wants to learn how to perform web scraping from scratch. If you want to begin your journey in applying web scraping techniques to a range of web pages, then this book is what you need! A working knowledge of the Python programming language is expected.

What you will learn

Analyze data and information from web pages
Learn how to use browser-based developer tools from the scraping perspective
Use XPath and CSS selectors to identify and explore markup elements
Learn to handle and manage cookies
Explore advanced concepts in handling HTML forms and processing logins
Optimize web securities, data storage, and API use to scrape data
Use Regex with Python to extract data
Deal with complex web entities by using Selenium to find and extract data

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!

Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!

50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.

Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.

Thousands of reference materials covering every tech concept you need to stay up to date.

Subscribe now

View plans & pricing

Product Details

Publication date : Jul 15, 2019

Length: 350 pages

Edition : 1st

Language : English

ISBN-13 : 9781789533392

Category :

Data

Languages :

Python

Concepts :

Data Analysis

Tools :

Selenium

Frequently bought together

Python Web Scraping Cookbook

Feb 2018 364 pages

2.3 (3)

eBook

$24.99 ~~$35.99~~

Python Machine Learning

Dec 2019 772 pages

4.5 (41)

eBook

$29.99 ~~$43.99~~

Hands-On Web Scraping with Python

Jul 2019 350 pages

4 (11)

eBook

$27.98 ~~$39.99~~

Total $ 148.97

$43.99

$54.99

$49.99

Total $ 148.97

15 Chapters

Section 1: Introduction to Web Scraping

Web Scraping Fundamentals

Introduction to web scraping

Understanding web development and technologies

Data finding techniques for the web

Summary

Further reading

Section 2: Beginning Web Scraping

Python and the Web – Using urllib and Requests

Technical requirements

Accessing the web with Python

URL handling and operations with urllib and requests

Implementing HTTP methods

Summary

Further reading

Using LXML, XPath, and CSS Selectors

Technical requirements

Introduction to XPath and CSS selector

Using web browser developer tools for accessing web content

Scraping using lxml, a Python library

Summary

Further reading

Scraping Using pyquery – a Python Library

Technical requirements

Introduction to pyquery

Exploring pyquery

Web scraping using pyquery

Summary

Further reading

Web Scraping Using Scrapy and Beautiful Soup

Technical requirements

Web scraping using Beautiful Soup

Web scraping using Scrapy

Deploying a web crawler

Summary

Further reading

Section 3: Advanced Concepts

Working with Secure Web

Technical requirements

Introduction to secure web

HTML <form> processing

Handling user authentication

Working with cookies and sessions

Summary

Further reading

Data Extraction Using Web-Based APIs

Technical requirements

Introduction to web APIs

Accessing web API and data formats

Web scraping using APIs

Summary

Further reading

Using Selenium to Scrape the Web

Technical requirements

Introduction to Selenium

Using Selenium for web scraping

Summary

Further reading

Using Regex to Extract Data

Technical requirements

Overview of regular expressions

Using regular expressions to extract data

Summary

Further reading

Section 4: Conclusion

Next Steps

Technical requirements

Managing scraped data

Analysis and visualization using pandas and matplotlib

Other Books You May Enjoy

Leave a review - let other readers know what you think

Recommendations for you

Python Machine Learning By Example

Jul 2024 518 pages

4.9 (8)

eBook

$24.99 ~~$36.99~~

Building AI Applications with OpenAI APIs

Oct 2024 252 pages

eBook

$21.99 ~~$31.99~~

Unlocking Data with Generative AI and RAG

Sep 2024 346 pages

eBook

$21.99 ~~$31.99~~

Building LLM Powered Applications

May 2024 342 pages

4.2 (22)

eBook

$27.98 ~~$39.99~~

RAG-Driven Generative AI

Sep 2024 334 pages

4.5 (13)

eBook

$24.99 ~~$35.99~~

Machine Learning with PyTorch and Scikit-Learn

Feb 2022 774 pages

4.4 (95)

eBook

$29.99 ~~$43.99~~

Python for Algorithmic Trading Cookbook

Aug 2024 404 pages

4.6 (15)

eBook

$32.99 ~~$47.99~~

Microsoft Power BI - The Complete Masterclass [2023 EDITION]

Jan 2023 14hrs 31mins

Video

$109.99

Principles of Data Science

Jan 2024 326 pages

4.8 (4)

eBook

$21.99 ~~$31.99~~

Mastering NLP from Foundations to LLMs

Apr 2024 340 pages

4.9 (24)

eBook

$29.99 ~~$42.99~~

People who bought this also bought

Machine Learning Engineering with Python

Aug 2023 462 pages

4.6 (36)

eBook

$27.98 ~~$39.99~~

Deep Learning with TensorFlow and Keras – 3rd edition

Oct 2022 698 pages

4.6 (45)

eBook

$27.98 ~~$39.99~~

Modern Generative AI with ChatGPT and OpenAI Models

May 2023 286 pages

4.2 (34)

eBook

$27.98 ~~$39.99~~

Generative AI with LangChain

Dec 2023 368 pages

4 (34)

eBook

$27.98 ~~$39.99~~

Causal Inference and Discovery in Python

May 2023 456 pages

4.5 (49)

eBook

$21.99 ~~$31.99~~

About the author

Chapagain

Anish Chapagain is a software engineer with a passion for data science, and artificial intelligence, its processes and Python programming, which began around 2007. He has been working with web scraping, data analysis, visualization and reporting-related tasks, projects for more than 10 years, and is also working as freelancer. Anish previously worked as a trainer, web/software developer, team leader, and as a banker, where he was exposed to data and gained further insights into topics like data mining, data analysis, reporting, information processing and knowledge discovery. He has an MSc in computer systems from Bangor University (United Kingdom), and an Executive MBA from Himalayan Whitehouse International College, Kathmandu, Nepal.

See other products by Chapagain

FAQs

What is included in a Packt subscription?

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription?

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits?

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled?

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title?

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team.

Can I download the code files for Early Access titles?

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date?

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready?

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access?

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered?

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content?

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access?

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.

Hands-On Web Scraping with Python: Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others

What do you get with a Packt Subscription?