added stock prices script

32_stock_scraper.py

@@ -0,0 +1,38 @@
+import urllib.request
+from bs4 import BeautifulSoup
+
+
+def get_stock_tickers():
+    req = urllib.request.Request(
+        'http://en.wikipedia.org/wiki/List_of_S%26P_500_companies')
+    page = urllib.request.urlopen(req)
+    soup = BeautifulSoup(page, 'html.parser')
+    table = soup.find('table', {'class': 'wikitable sortable'})
+    tickers = []
+    for row in table.findAll('tr'):
+        col = row.findAll('td')
+        if len(col) > 0:
+            tickers.append(str(col[0].string.strip()))
+    tickers.sort()
+    return tickers
+
+
+def get_stock_prices(ticker_list):
+    for ticker in ticker_list:
+        htmlfile = urllib.request.urlopen(
+            "http://finance.yahoo.com/q?s={0}".format(ticker)
+        )
+        htmltext = htmlfile.read()
+        soup = BeautifulSoup(htmltext, 'html.parser')
+        htmlSelector = 'yfs_l84_{0}'.format(ticker.lower())
+        for price in soup.find_all(id=htmlSelector):
+            print('{0} is {1}'.format(ticker, price.text))
+
+
+def main():
+    all_tickers = get_stock_tickers()
+    get_stock_prices(all_tickers)
+
+
+if __name__ == '__main__':
+    main()

readme.md

@@ -31,3 +31,4 @@
 1. **29_json_to_yaml.py**: Convert JSON to YAML
 1. **30_fullcontact.py**: Call the [FullcContact](https://www.fullcontact.com/developer/) API
 1. **31_youtube_sentiment.py**: Calculate sentiment score from the comments of a Youtube video
+1. **32_stock_scraper.py**: Get stock prices