Scrape the Planet! Building Web Scrapers with Python

Scrape the Planet! Building Web Scrapers with Python. Power up your big data projects with cutting-edge web scraping technology built with Python

What you’ll learn

  • How to theorize and develop web scrapers and spiders for data analysis and research
  • What are scrapers and spiders?
  • What is the difference between a scraper and a spider?
  • How are scrapers and spiders used in research?
  • How to use the Requests and BeautifulSoup libraries to build scrapers
  • How to build multi-threaded, complex scrapers

 (8 ratings)168 studentsData ScienceWeb Scraping

Scrape the Planet! Building Web Scrapers with Python

Power up your big data projects with cutting-edge web scraping technology built with PythonHot & NewRating: 4.4 out of 54.4 (8 ratings)167 studentsCreated by Mitchell EdwardsLast updated 11/2021EnglishEnglish [Auto]

What you’ll learn

  • How to theorize and develop web scrapers and spiders for data analysis and research
  • What are scrapers and spiders?
  • What is the difference between a scraper and a spider?
  • How are scrapers and spiders used in research?
  • How to use the Requests and BeautifulSoup libraries to build scrapers
  • How to build multi-threaded, complex scrapers

Course content

6 sections • 28 lectures • 10h 26m total lengthExpand all sections

Introduction1 lecture • 13min

  • Welcome to the course!Preview12:37

Theory and Ethics of Web Scraping6 lectures • 1hr 37min

Building Our First Scraper6 lectures • 2hr 14min

Building Spiders to Crawl the Web8 lectures • 4hr 9min

Building Next Level Scrapers6 lectures • 2hr 10min

Call to Action1 lecture • 4min

Requirements

  • Having a basic understanding of programming concepts is a plus, but is not required. We will be using Python for this course.
  • In-depth programming experience is not required! Just the basics. We will cover a lot of it during the course.

Description

The web is full of incredibly powerful data stored away in billions of different websites, databases and APIs. Financial data like stock prices and cryptocurrency trends, weather data in thousands of different cities in dozens of countries offered down to the hour, and fun biographical information about your favorite actor or actress: all of this information is at your fingertips, but it’s impossible to truly harness it all without a bit of help and automation!

Scrapers and spiders are incredibly powerful programs that allow developers, big data analysts and researchers to harness all of this amazing data and use it for a vast array of different applications, from the creation of data feeds to the collection of data to feed machine learning and artificial intelligence algorithms. This course offers a hands-on approach to building real, usable spiders in realistic situations for financial analysis, link graph construction and social media research, to name a few. By the end of this course, the student will be able to develop spiders and scrapers from scratch using Python and will only be limited by their own imagination. Put the vast power of the internet within your grasp by learning how to develop automated scrapers today!

This class is built with beginners in mind, and while previous experience in Python programming helps, you can start this course without ever having written a line of code.

Free Course:  Learn Data Visualization with Python Plotly and Power BI

Who this course is for:

  • Internet researchers from all walks of life wanting to learn how to harness the information on the web for the greater good.
  • People interested in data science and web scraping.
  • People interested in data collection and curation.
  • Beginner Python developers.
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