Simple script to scrape the default grid Olympic medals table on NBC's site and dump the result as JSON

olympic_medals_scraper.py

from bs4 import BeautifulSoup
import requests as r
from json import dumps

class Country:
    def __init__(self, country, place, gold, silver, bronze, total_medals):
        self.country = country
        self.place = place
        self.gold = gold
        self.silver = silver
        self.bronze = bronze
        self.total_medals = total_medals

data = r.get('http://www.nbcolympics.com/medals')
doc = BeautifulSoup(data.text, 'html.parser')
grid = doc.find_all("table", attrs={"class": "grid-table"})

standings = []

for row in grid[0].tbody.find_all('tr'):
    country = row.a.img.get('alt')
    td = row.find_all('td')
    place = td[0].div.text
    gold = td[2].div.text
    silver = td[3].div.text
    bronze = td[4].div.text
    total_medals = td[5].div.text
    standings.append(
        Country(country, place, gold, silver, bronze, total_medals)
    )

print dumps([s.__dict__ for s in standings])

"""
Example output:
[  
   {  
      "total_medals":"103",
      "gold":"46",
      "country":"United States",
      "place":"1",
      "silver":"28",
      "bronze":"29"
   },
   {  
      "total_medals":"88",
      "gold":"38",
      "country":"China",
      "place":"2",
      "silver":"29",
      "bronze":"21"
   },
   .
   .
   .
]
"""