These code snippets are the core of a post I wrote about web scraping in python. It's addressed at people who have already done a bit of coding but want to explore scraping in python in more depth. The workshop will be much easier if you have a Mac or Linux-based computer.

1. Download repo: https://github.com/abelsonlive/scrape-the-gibson

2. Install dependencies

• If you don't have pip installed, type:

sudo easy_install pip

• change directories

cd nyu-skill-share-scraping

• now run:

sudo pip install -r requirements.txt

• Getting started with Scraping in Python using requests
• Exploring HTML documents and extracting the data, with BeautifulSoup
• Saving scraped data to a database with dataset

• Thinking about ETL (Extract, Transform, Load)
• Keep your source data around.
• Running multiple requests in parallel to scrape faster
  • Thready
• Regular Expressions to Extract More Data
• Programmatic crawling of entire sites.

There are plenty of existing resources on scraping. A few links:

• Paul Bradshaw's Scraping for Journalists, excellent for non-coders.
• School of Data Handbook Recipes
• ScraperWiki (Classic) Docs, moving to GitHub