Avanza stock quotes snippet

avanzaparse.py

#!/usr/bin/env python2
# coding:utf-8
from bs4 import BeautifulSoup
import requests
import sys

urls = [
    'https://www.avanza.se/aktier/om-aktien.html/5466/mycronic', 
]

# the relevant fields we want to look at within the quotes block
change_percent_str = 'changePercent'
change_str = 'change'
buy_price_str = 'buyPrice'
sell_price_str = 'sellPrice'
last_price_str = 'lastPrice'
highest_price_str = 'highestPrice'
lowest_price_str = 'lowestPrice'
total_volume_traded_str = 'totalVolumeTraded'
timestamp_str = 'updated'
span_str = 'span'
titles = [change_percent_str, change_str, buy_price_str, sell_price_str, 
    last_price_str, highest_price_str, lowest_price_str, 
    total_volume_traded_str, timestamp_str]
max_title_length = len(max(titles, key=len))


def format_row(columns, format_length):
    return ' | '.join(u'{{:^{}}}'.format(format_length).format(column) for column in columns).encode('utf-8')


print format_row(titles, max_title_length)
for url in urls:
    r = requests.get(url)
    if r.status_code != 200:
        print 'Avanza answered with status code ', r.status_code
        sys.exit(1)

    html_src = r.text

    def get_div_content(root, html_class):
        return root.find('div', {'class': html_class})


    def get_span_content(root, html_class):
        return root.find('span', {'class': html_class})


    soup = BeautifulSoup(html_src, 'html.parser')

    # Get the quotes block.
    # The most unique identifier available to find it.
    quotes_block_str = 'quoteWrapper'
    quotes_block = get_div_content(soup, quotes_block_str)

    change_percent = get_span_content(quotes_block, change_percent_str)
    change = get_span_content(quotes_block, change_str)
    buy_price = get_span_content(quotes_block, buy_price_str)
    sell_price = get_span_content(quotes_block, sell_price_str)
    last_price = get_span_content(quotes_block, last_price_str)
    highest_price = get_span_content(quotes_block, highest_price_str)
    lowest_price =  get_span_content(quotes_block, lowest_price_str)
    total_volume_traded = get_span_content(quotes_block, total_volume_traded_str)
    timestamp = get_span_content(quotes_block, timestamp_str)

    values = [change_percent.string, change.string, 
        buy_price.string, sell_price.string, 
        last_price.string, highest_price.string,
        lowest_price.string, total_volume_traded.string, 
        timestamp.string]
    print format_row(values, max_title_length)