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Web Scraping With Python
Robert Dempsey
 There is a lot of data provided freely on the Internet.
 Not all data is free, and not all site owners allow you to scr...
Data Wranglers LinkedIn Group
Where the discussions happen.
 If you have a question – ask it.
 Be polite and courteous to others.
 Turn your cell phones to vibrate when you come t...
Twitter Hashtag
#dwdc
 Wireless Network: Logik_guest
 Password: logik1234
Connecting to the Internet
www.fminer.com
www.websundew.com
www.visualwebripper.com
screen-scraper.com
XPath
Xpath Helper – Adam Sadovsky
Xpath finder
 Our method: BeautifulSoup4 + Python libraries
 Scrapy
 Application framework (you still have to code)
 http://scrapy....
 Bare Metal = Nokogiri + Mechanize
 Frameworks
 Upton: https://github.com/propublica/upton
 Wombat: https://github.com...
Browser Extensions For Scraping
Scraper
https://chrome.google.com/webstore/detail/s
craper/mbigbapnjcgaffohmbkdlecaccepngjd
Grabbing The Full Monty
SiteSucker: sitesucker.us
Wget: http://www.gnu.org/s/wget/
 CSS Sprites
 Honeypots
 IP blocking
 Captcha
 Login
 Ad popups
The Ways Websites Try To Block Us
NetShade
http://raynersoftware.com/netshade/
WinGate
http://www.wingate.com/
 Continuum.io: Anaconda
 http://continuum.io/downloads
 BeautifulSoup
 http://www.crummy.com/software/BeautifulSoup/
...
 Find the webpage(s) you want
 Get the path to the data using Xpath or the CSS selectors
 Write the code
 Test
 Scrap...
1. Ensure you’ve installed the extension
2. Log in to Google Docs (this is where the data goes)
3. Open the URL: http://ww...
 Only works with data in a tabular format
 Only exports to Google Docs
 Works on one page at a time
 Suggestion: Keep ...
 BeautifulSoup
 A toolkit for dissecting a document and extracting what you need.
 Automatically converts incoming docu...
1. Import your libraries
2. Take a LinkedIn URL as input
3. Build an opener
4. Create the soup using BS4
5. Extract the co...
 https://github.com/rdempsey/dwdc
Get The Code
Contacting Rob
 robertonrails@gmail.com
 Twitter: rdempsey
 LinkedIn: robertwdempsey
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
Web Scraping With Python
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Web Scraping With Python

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Data Wranglers DC December meetup: http://www.meetup.com/Data-Wranglers-DC/events/151563622/

There's a lot of data sitting on websites just waiting to be combined with data you have sitting on your servers. During this talk, Robert Dempsey will show you how to create a dataset using Python by scraping websites for the data you want.

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Web Scraping With Python

  1. 1. Web Scraping With Python Robert Dempsey
  2. 2.  There is a lot of data provided freely on the Internet.  Not all data is free, and not all site owners allow you to scrape data from their sites.  ALWAYS check the terms of service for a website BEFORE scraping it.  Be responsible, and stay within legal limits at all times. Important Disclaimer
  3. 3. Data Wranglers LinkedIn Group Where the discussions happen.
  4. 4.  If you have a question – ask it.  Be polite and courteous to others.  Turn your cell phones to vibrate when you come to the meeting.  You know more than you think. At some point, I’d like you to share, with us, something you’ve learned so we can all benefit from it. Group Rules
  5. 5. Twitter Hashtag #dwdc
  6. 6.  Wireless Network: Logik_guest  Password: logik1234 Connecting to the Internet
  7. 7. www.fminer.com
  8. 8. www.websundew.com
  9. 9. www.visualwebripper.com
  10. 10. screen-scraper.com
  11. 11. XPath Xpath Helper – Adam Sadovsky Xpath finder
  12. 12.  Our method: BeautifulSoup4 + Python libraries  Scrapy  Application framework (you still have to code)  http://scrapy.org DIY Scraper - Python
  13. 13.  Bare Metal = Nokogiri + Mechanize  Frameworks  Upton: https://github.com/propublica/upton  Wombat: https://github.com/felipecsl/wombat DIY Scraper - Ruby
  14. 14. Browser Extensions For Scraping Scraper https://chrome.google.com/webstore/detail/s craper/mbigbapnjcgaffohmbkdlecaccepngjd
  15. 15. Grabbing The Full Monty SiteSucker: sitesucker.us Wget: http://www.gnu.org/s/wget/
  16. 16.  CSS Sprites  Honeypots  IP blocking  Captcha  Login  Ad popups The Ways Websites Try To Block Us
  17. 17. NetShade http://raynersoftware.com/netshade/ WinGate http://www.wingate.com/
  18. 18.  Continuum.io: Anaconda  http://continuum.io/downloads  BeautifulSoup  http://www.crummy.com/software/BeautifulSoup/  pip install beautifulsoup4  easy_install beautifulsoup4  Unicodecsv  pip install unicodecsv Installs
  19. 19.  Find the webpage(s) you want  Get the path to the data using Xpath or the CSS selectors  Write the code  Test  Scrape  Export to CSV  Enjoy your data! General Steps
  20. 20. 1. Ensure you’ve installed the extension 2. Log in to Google Docs (this is where the data goes) 3. Open the URL: http://www.inc.com/inc5000/list 4. Highlight the first line 5. Right-click and select “Scrape Similar” 6. Verify the data in the window that pops up 7. Click the “Export to Google Docs…” button 8. Voila! #1: Scraping the Inc. 5000 with Scraper
  21. 21.  Only works with data in a tabular format  Only exports to Google Docs  Works on one page at a time  Suggestion: Keep the scraping window open, go to the next page, click “Scrape” again. Notes On Scraper
  22. 22.  BeautifulSoup  A toolkit for dissecting a document and extracting what you need.  Automatically converts incoming documents to Unicode and outgoing documents to UTF-8.  Sits on top of popular Python parsers like lxml and html5lib  Examples  http://www.crummy.com/software/BeautifulSoup/bs4/doc/ #2: Using Python to Scrape Pages
  23. 23. 1. Import your libraries 2. Take a LinkedIn URL as input 3. Build an opener 4. Create the soup using BS4 5. Extract the company description and specialties 6. Clean up the rest of the data 7. Extract the website, type, founded, industry, and company size if they exist, otherwise set them to “N/A” 8. Output to CSV 9. Sleep some random number of seconds & milliseconds Scraping LinkedIn Company Pages - PseudoCode
  24. 24.  https://github.com/rdempsey/dwdc Get The Code
  25. 25. Contacting Rob  robertonrails@gmail.com  Twitter: rdempsey  LinkedIn: robertwdempsey

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