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Web Scraping with Python Essentials: Scrape Amazon in 5 min.
Rating: 4.3 out of 5(223 ratings)
14,635 students

Web Scraping with Python Essentials: Scrape Amazon in 5 min.

Learn web scraping with an Amazon Case Study, including practical recommendations and how to proceed, in exactly 1h !!
Created byAbdulkadir Guner
Last updated 3/2021
English
English [Auto],

What you'll learn

  • Web Scraping Essential Skills in less than one hour!!!
  • Practical Web Scraping Tips and Tricks

Course content

2 sections • 15 lectures • 1h 1m total length

  • What is web scraping and why should I learn it?4:03

    Learn what web scraping is, why it matters for accessing data from the web, and how scraping enables extracting useful data when APIs are limited.

  • Introduction2:20

    Learn a practical data science mindset for web scraping, embracing tool complexity and protocols while building problem solving skills you can apply to real life data challenges.

  • Can we scrape Amazon in less than few minutes?3:32

    Learn to form valid requests, create a scrapy project and spider, and run a crawl to extract data from Amazon using Python.

  • The Amazon Spider4:11

    Explore how the Amazon spider starts at amazon.com, respects robots.txt, handles redirects, and processes a 200 response, while building and refining spider code to fetch secure pages.

  • Pillar 1: Crawling Amazon4:06

    Learn to build a basic Amazon spider with Python, creating and sending requests, yielding them from the spider, and handling redirects to a product page.

  • Pillar 2: Scraping Amazon2:37

    Explore scraping Amazon by sending a request, handling a response object, and using a callback function to output product data from the Amazon products page, not the whole page.

  • Scraping Amazon: Explore 'the Document'4:09

    Examine the browser document, the backend of the page built from code and data that render the front end, and assess hidden javascript requests in the scrape output.

  • Scraping Amazon: Implementation4:36

    Learn to selectively extract data from a document by navigating through elements with child and descendant paths, retrieving text and attributes such as href.

  • Scraping Amazon: Parsing Methodology I3:08

    Learn to locate data with css selectors and XPath, and extract it using the Scrapy response object. Test expressions in the browser or the Scrapy shell to verify selectors.

  • Scraping Amazon: Parsing Methodology II8:42

    Inspect the browser to locate phone titles by class and span. Confirm 24 matches, then build a python selector, apply xpath, and extract the text to collect the data.

  • Pillar 3: Maintaining the Connection I1:23

    Maintain the connection by managing the spider's basic settings to keep it alive as you scale, handle server rejections, and protect sensitive data from overloading targets.

  • Pillar 3: Maintaining the Connection II7:05

    Modify the settings file to tune your spider, test a simple user agent like Mozilla, respect robots rules, and adjust throttling for stable scraping results.

  • Practical Recommendations I4:02

    Define your data requirements and confirm you are on the correct page, then explore simpler or alternative links to access the same data more robustly while avoiding bot detection.

  • Practical Recommendations II5:22

    Learn practical, data-centered strategies for web scraping Amazon, including using regular expressions to extract data from multiple page locations, optimizing requests with paginated views, and staying low-profile to avoid detection.

Requirements

  • Beginner Level Python

Description

If you want to be a creative data scientist, web scraping is an indispensible capability you should learn. In this effort, you should start from understanding and establishing essential skills and tools of web scraping.

Learn them.

Practice a lot with them through solving real-life problems.

This is the way to proceed in a more natural evolution and much more intuitively so that you are able to ask the right questions and come up with solutions.

"Web Scraping with Python 101: Build Scrapy Essential Skills"  is the course aimed at these fundamentals through Scrapy, Python's popular web scraping framework.

This is the starter course of a series to master web-scraping and Scrapy from basic skills to advanced concepts, from deep insights on the tools to the most practical real-life data science example utilizing web scraping on this platform, a depth and perspective unique to this course series that collectively have gathered more than 10000 students in months.


Two remaining questions:

First, who is this course aiming?

This course is for beginners. Not for beginners to programming, but beginners to Web Scraping. Persons who have seen it, thought about learning it, have limited time. Its about showing them how to start, and proceed and that web scraping is not earth science. 


Second, what exactly is in this course?

In this course;

We will start with what is web scraping and why it is important.

We fill define the 3 pillars of webscraping: crawling, scraping and keeping the connection. 

We will run our pillars on a living 'amazon' example.

We will finish with practical recommendations on each pillar and on a guide to how to proceed.

A fully refined course to perfectly fit your busy schedule.


Last but not the least; be sure to watch the course video on this very landing page.

See you in the lectures!


Very Respectfully,

Tarkan Aguner



Who this course is for:

  • Beginner Python Developers curious about web scraping
  • Anybody who wants to learn about web scraping concepts

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