Getting Structured Data from Internet: Web Scraping and Rest APIs
Getting Structured Data from Internet: Web Scraping and Rest APIs
Getting Structured Data from Internet: Web Scraping and Rest APIs

About the Book

This book will teach you web scraping to quickly get unlimited amounts of free data available on the web in structured format. You'll learn Python scripts to not only to access free APIs to get structured data from websites such as Twitter, but you'll also learn to scrape data from any HTML and Javascript page and convert that into Excel, CSV or SQL database of your choice. We will go beyond the basics of web scraping, and cover advanced topics such as natural language processing and text analytics to extract out top keywords, text summary, names of people, places, email addresses and contact details etc. from a page. All the code used in the book will be available to help you understand the concepts in practice and write your own web scraper.

About the Author

Jay M. Patel
Jay M. Patel

My name is Jay M. Patel and I am a fulltime freelance software developer and data scientist specializing in data mining, web crawling/scraping, natural language processing (NLP) projects. Please check out my consulting page for details on how to hire me for your project.

I worked at US Environmental Protection Agency (US EPA) for about five years before quitting in 2018 to do consulting fulltime and bootstrap my startup, Specrom Analytics, which applies AI algorithms for marketing, social listening and creating alternative financial datasets.

In my time at US EPA, I designed text mining and NLP algorithms to extract useful insights from hundreds of thousands of documents which were parts of regulatory filings from companies. I also led one of the first research teams within the agency to use Apache Spark based workflows for traditional cheminformatics applications such as chemical similarities and quantitative structure activity relationships. We also developed recurrent neural networks and more advanced LSTM models in Tensorflow for chemical SMILES generation. Please check out my Google Scholar for a full list of all my research papers and presentations.

I graduated with Bachelors in chemical engineering from UDCT, India and M.S. in computational chemistry from University of Georgia, Athens, GA, USA. Check out my CV for more information.

My blog posts here will be focused on digital marketing, alternative financial datasets, my current work, data science, and my experiences as a startup founder. I also have couple of book projects in the works and one published book, please check it out here for more info.

In my free time, I also volunteer in Dangs district in India to assist tribal community in building homes, getting clean water and sanitation.

Connect with me on Linkedin, Github or email me at for any questions.

Table of Contents

  • 1. Introduction to web scraping: Why is web scraping essential and who uses web scraping?
  • 2. Intro to web services to get structured data
  • 2.1 Getting data from Twitter APIs
  • 2.2 Getting stock market data from Alphavantage
  • 3. Web scraping in python using Beautiful Soup library
  • 3.1 Tags and structure of HTML documents
  • 3.2 Cascading style sheets (CSS)
  • 3.3 Building first scraper with Beautiful Soup
  • 3.4 Scraping a HTML table into pandas dataframe
  • 3.5 Scraping XML files from
  • 4. Using selenium to scrape from Javascript
  • 5. Advanced Topics
  • 5.1 Boilerplate text removal
  • 5.2 Solving captchas
  • 5.3 Extracting top keywords, and text summarization from scraped documents
  • 5.4 Extracting names, entities from scraped documents

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