Web Scraping with Python, Ruby & import. io
4.2 (46 ratings)
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Web Scraping with Python, Ruby & import. io

Learn exactly how to scrape web data from many popular websites even if you have very little experience as a programmer!
4.2 (46 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
932 students enrolled
Created by Charlie Craine
Last updated 7/2016
English
Current price: $10 Original price: $75 Discount: 87% off
1 day left at this price!
30-Day Money-Back Guarantee
Includes:
  • 4.5 hours on-demand video
  • 1 Article
  • 3 Supplemental Resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Scrape a variety of websites
  • Scrape websites with Ruby
  • Scrape websites with Python
  • Scrape websites with Import. io
View Curriculum
Requirements
  • How to install software on their computer
  • Be able to understand a reasonable level of programming -- much of it will be explained
  • Follow step-by-step instructions
Description

Latest Update:
March 9, 2017 - Please note that import io is no longer a free program. They just recently started to charge for use of the platform. I would love some feedback about whether to keep the tutorials up for this portion or to remove and add more lessons from Python, Scrapy and/or Ruby. 

_____________________________________________________________

You'll be web scraping in less than an hour!!

This course teaches you three ways to scrape websites:

Import. io is a software that you download and is a really quick way to start web scraping quickly. It is not without its limitations but depending on what you need or plan to do it could do everything you need. No programming experience necessary!

If you prefer to learn a little programming along the way, and aren't afraid to invest a little time, you can learn how to do web scraping with Ruby and/or Python. Both have their pluses and minuses but both can do just about anything you could imagine.

Even if you have never used Python or Ruby you can learn how to still use these programs as a web scraper. But if you are willing to learn you can scrape just about any website there is online!

Want to do some web scraping of super popular websites? That's how you will learn!

This course comes complete with code for every lecture for Ruby and Python!

You will learn to web scrape popular websites like:

  • Zillow
  • Craigslist
  • Yelp
  • IMDB
  • Wikipedia
  • Google
  • Macys
  • YouTube
  • NFL
  • Nordstrom
  • Wal-Mart
  • Twitter

You will learn to install Python and Ruby. You'll learn how to download what you web scrape into CSV files and with Python you will learn how to put your data into a database.

Other lessons include how to get around obstacles such as websites with ajax that load content dynamically. You'll also learn how to crawl multiple pages of websites and get all the data you need!

With Import. io you will learn how to download a website that has over 40,000 products on it. Yes, 40,000 products and you will learn how to scrape all of those products.

Stop imagining you can grab data off websites and use them for your next web project, you an do it now.

Please note: Software installation can be done for both Mac OSX and Windows. I use a Mac so it is more focused on OSX however instructions are available for Windows.

Update: January 17, 2016 - Added three Scrapy videos. How to setup scrapy and scraping Craigslist
Update: October 17, 2015 - Added Bonus lesson on extracting zip codes from Yelp
Update: September 15, 2015 - Added How to find JSON and scrape it on Walmart
Updated: September 1, 2015 - Three new Twitter API scraper videos. How to scrape user tweets, users searching for keywords and how to follow those users through Ruby/Twitter API
Update: August 28, 2015 - Added Wikipedia scraper and map

Enroll now!

Who is the target audience?
  • Anyone who has an interest or idea where they want to utilized data from other websites
Students Who Viewed This Course Also Viewed
Curriculum For This Course
Expand All 46 Lectures Collapse All 46 Lectures 04:37:40
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Course Introduction
1 Lecture 01:30

YES you will learn to scrape websites! And no, you don't need to be a highly skilled developer!

Preview 01:30
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Import.io - Free, Easy to use software built for scraping websites
8 Lectures 32:20

Learn what is new in the brand new web-based version of Import io

Introduction to the new Import io Web Scraping tool
01:38

Setting up the new Import io
03:12

Wikipedia - Learn to scrape a table from Wikipedia
05:15

Wikipedia - Learn to grab content from a Wikipedia page
04:53

CNN.com - Learn how to grab content from a CNN article page
03:03

IMDB - Scrape the most popular movies from IMDB
02:34

NFL.com - Learn how to Scrape the top QB stats
04:44

You will learn to scrape the NFL draft picks and how to add URLs to your web scraper. 

NFL Draft - Learn how to Scrape all rounds of the NFL Draft
07:01
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Import io - Download tool
16 Lectures 01:13:24
Download Import.io
00:13



Scrape Wikipedia and map the data. Added August 28, 2015

Preview 05:29


Extract data from Macys.com
04:51

Yelp: Learn how to scrape information from Yelp!
04:50

Yelp Advanced: Scrape the Top 100+ Pizza places in New York City
08:03

Yelp: Learn how to Search and scrape Yelp results with an automated process!
08:11

Learn how to crawl an entire website and capture over 40k products!
06:26

From Import.io to Google Sheets. Get it into the cloud!
02:19

Learn how to extract a zip code from Yelp

BONUS: How to extract specific data - Zip Codes in Yelp
03:08

Learn how to Install and Setup Ruby
01:48

Simple Script: Learn How to Scrape Macys.com products
12:20

Next Step: Macys.com getting a bit more advanced as we build your skills
04:11

CSV: Now you have Macys.com data learn how to put it into a CSV file
04:41
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Ruby - Don't know Ruby? It doesn't matter because you will soon!
6 Lectures 35:29
Walmart: How to scrape all pages from a product category on Walmart.com
07:55

Spoof a site and look like you are web browser!
02:27

Google + Mechanize = How to scrape search results from Google with Mechanize
04:32

BONUS: Scraping YouTube's Most Popular
04:53

BONUS: Scraping Zillow by Zip Code
06:44

BONUS: Using JSON to scrape Walmart's website
08:58
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Python - Don't know Python? It doesn't matter because you will soon!
9 Lectures 01:21:57
Installing and setting up Python
08:02

Simple Script: Learn how to crawl IMDB
15:07

Learn how to submit a web form
06:15

Install Selenium and PhantomJS - Trust me you'll want these!
03:31

Yes, you can crawl JavaScript! Learn to scrape Ajax with Selenium
11:36

Simple: Crawl and export data from Nordstrom.com into a CSV
06:00

Next Step: Crawl NFL data - Grab all the QB data from 2014!
09:20

Advanced: Export NFL QB data to a CSV
05:39

Export Data to MySQL
16:27
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Scrapy - Use Scrapy built for Python to create your web crawler
3 Lectures 28:40
Installing and setting up Scrapy
06:13

Craigslist: Use Scrapy for a basic crawl of 100 jobs
19:37

Craiglist: Crawling through paginations for all jobs
02:50
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Bonus: Ruby - How to Scrape via Twitter API
3 Lectures 24:21
Scrape a Tweets from another User or Users
13:09

Scrape Twitter searches for keywords and anyone who has tweeted using that keyw
06:08

Take the scraped users and follow them or swap out for another username
05:04
About the Instructor
Charlie Craine
4.6 Average rating
119 Reviews
5,409 Students
3 Courses
Chief Technology Officer

Over 17 years of digital media experience. Currently, CTO executive for B2B publishing company with eight magazine websites as well as lead at its Interactive Agency working with Fortune 500 companies.

Our agency specializes in web development, marketing, SEO, social and email for B2B publisher. Leads agency web development, video, SEO & app development.

Previous experience includes Digital General Manager over cool magazines such as Guitar World and Revolver Magazine. And General Manager running digital for the daily newspaper in Salt Lake City with over 30 million page views per month.

Core competencies include:
(SEO) & (SEM) · Google Analytics · Social Media · Content Management · Lead Generation · Agile Project management · Web Development · Digital Marketing · Data Mining