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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<title>PS239T: Welcome!</title>
<style>
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<textarea id="source">
class: center, middle, main-title
# Extracting Data from the Web in Python
### Rochelle Terman
---
## Learning Objectives
> * Extract data using a RESTful API
> * Be able to inspect a website using Google Developer Tools to understand its underlying structure
> * Identify elements via HTML & CSS
> * Write a program that scrapes multiple webpages using beautiful soup
> * Extract javascript-heavy and interactive sites using selenium
---
## Why Webscrape
Tons of web data useful for social scientists and humanists
* social media
* news media
* government publications
* organizational records
---
## Two Ways to Get Data Off the Web
* Webscraping - i.e. user-facing websites for humans (later)
* APIs - i.e. application-facing, for computers (today)
---
## Rule of Thumb
* Check for API first. If not available, scrape.
---
## Webscraping v. APIs
* Webscraping Benefits
* Any content that can be viewed on a webpage can be scraped. [Period](https://blog.hartleybrody.com/web-scraping/)
* No API needed
* No rate-limiting or authentication (usually)
* Webscraping Challenges
* Rarely tailored for researchers
* Messy, unstructured, inconsistent
* Entirely site-dependent
---
## Some Disclaimers
* Check a site's terms and conditions before scraping.
* Be nice - don't hammer the site's server.
* Sites change their layout all the time. Your scraper will break.
---
## Schedule
* Day 1: APIs
* Day 2: HTML, CSS & Google Developer Tools
* Day 3: Beautiful Soup
* Day 4: Selenium
---
## Let's Get Started
1. Download (or clone) the Repo here: https://github.com/rochelleterman/scrape-interwebz
2. CD into that directory
3. Check to see if you're in Python 3 (if not, follow steps to activate)
4. launch ipython notebook by typing `$ipython notebook`
</textarea>
<script src="http://gnab.github.io/remark/downloads/remark-latest.min.js"></script>
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var slideshow = remark.create();
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<script></script>
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