Page 182 - Programming With Python 3

An Introduction to STEM Programming with Python — 2019-09-03a Page 169
Chapter 15 — Reading Data from the Web

29| """
30|
Free
31| soup = bs4.BeautifulSoup(page, 'html.parser')
32|
33| # get the linked pages from te anchors on page
34| tags = soup.select('a')
35| for tag in tags:
36| print(tag['href'])
eBook
37|
38| # get the attribute language from the html tag
39| # it may not exist - if not use unknown
40| tag = soup.select("html")[0]
41| print("this page's language is", tag.get('lang','unknown'))
42|
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43| # create a comma separated printout of the
44| # string content of all th and td tags
45| rows = soup.select("table tr")
46| for row in rows:
47| cols = row.select("th,td")
48| print(cols[0].string, ',', cols[1].string)
Please support this work at
49|
50| # show text on first row - strip out all html
51| print(rows[0].text)
http://syw2l.org
http://www.syw2l.org
https://www.crummy.com/software/BeautifulSoup/
http://www.python.org
this page's language is en
Fruit , Color Free
Banana , Yellow
Lemon , Yellow
Orange , Orange
FruitColor
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Another example that gets the current weather observation at an airport from the U.S. National Weather
Service, follows:

1| import bs4
2| import urllib.request
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3|
4| #change city code to four letter US airport code
5| # KLAX-Los Angeles, KJFK-New York City, KDWU - Ashland Kentucky
6| city = "KDWU"

Copyright 2019 — James M. Reneau Ph.D. — http://www.syw2l.org — This work is licensed
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