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Get Started with Web Scraping using Python!
Congratulations! By picking up this book, you've set the first steps into the exciting world of web scraping. For those who are not familiar with programming or the deeper workings of the web, web scraping often looks like a black art: the ability to write a program that sets off on its own to explore the Internet and collect data is seen as a magical and exciting ability to possess.
In this book, we set out to provide a concise and modern guide to web scraping, using Python as our programming language, without glossing over important details or best practices. In addition, this book is written with a data science audience in mind. We're data scientists ourselves, and have very often found web scraping to be a powerful tool to have in your arsenal, as many data science projects start with the first step of obtaining an appropriate data set, so why not utilize the treasure trove of information the web provides.
As such, we’ve strived to offer a guide that:
* Is concise and to the point, whilst also being thorough
* Is geared towards data scientists: we'll show you how web scraping fits into the data science workflow
* Takes a "code first" approach to get you up to speed quickly without too much boilerplate text
* Is modern by using well-established best practices and Python packages only
* Shows how to handle the web of today, including JavaScript, cookies, and common web scraping mitigation techniques
* Includes a thorough managerial and legal discussion regarding web scraping
* Provides lots of pointers for further reading and learning
* Includes many larger, fully worked out examples
Congratulations! By picking up this book, you've set the first steps into the exciting world of web scraping. For those who are not familiar with programming or the deeper workings of the web, web scraping often looks like a black art: the ability to write a program that sets off on its own to explore the Internet and collect data is seen as a magical and exciting ability to possess.
In this book, we set out to provide a concise and modern guide to web scraping, using Python as our programming language, without glossing over important details or best practices. In addition, this book is written with a data science audience in mind. We're data scientists ourselves, and have very often found web scraping to be a powerful tool to have in your arsenal, as many data science projects start with the first step of obtaining an appropriate data set, so why not utilize the treasure trove of information the web provides.
As such, we’ve strived to offer a guide that:
* Is concise and to the point, whilst also being thorough
* Is geared towards data scientists: we'll show you how web scraping fits into the data science workflow
* Takes a "code first" approach to get you up to speed quickly without too much boilerplate text
* Is modern by using well-established best practices and Python packages only
* Shows how to handle the web of today, including JavaScript, cookies, and common web scraping mitigation techniques
* Includes a thorough managerial and legal discussion regarding web scraping
* Provides lots of pointers for further reading and learning
* Includes many larger, fully worked out examples
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