我正在做一项任务,我需要从现场网站上抓取信息。
为此我使用https://www.nintendo.com/games/nintendo-switch-bestsellers,需要抓取游戏标题,价格和图像来源。我有标题工作,但价格和图像来源只是重新调整空列表,但通过pythex它返回正确的答案。
这是我的代码:
from re import findall, finditer, MULTILINE, DOTALL
from urllib.request import urlopen
game_html_source = urlopen\
('https://www.nintendo.com/games/nintendo-switch-bestsellers').\
read().decode("UTF-8")
# game titles - working
game_title = findall(r'<h3 class="b3">([A-Z a-z:0-9]+)</h3>', game_html_source)
print(game_title)
# game prices - retuning empty-list
game_prices = findall(r'<p class="b3 row-price">(\$[.0-9]+)</p>', game_html_source)
print(game_prices)
# game images - returning empty list
game_images = findall(r'<img alt="[A-Z a-z:]+" src=("https://media.nintendo.com/nintendo/bin/[A-Za-z0-9-\/_]+.png")>',game_html_source)
print(game_images)
答案 0 :(得分:1)
使用正则表达式解析HTML有太多陷阱可靠处理。 BeautifulSoup和其他HTML解析器通过构建完整的文档数据结构来工作,然后您可以导航以提取有趣的部分 - 它是彻底和全面的,但如果源中的任何地方存在某些错误的HTML,即使它位于你不关心的部分,它可以打败解析过程。 Pyparsing采用中间方法 - 您可以定义仅匹配所需位的迷你解析器,并跳过其他所有内容(这也简化了解析后导航)。为了解决HTML样式中的一些变量,pyparsing提供了一个函数makeHTMLTags
,它为开始和结束标记返回一对pyparsing表达式:
foo_start, foo_end = pp.makeHTMLTags('foo')
foo_start
将匹配:
<foo>
<foo/>
<foo class='bar'>
<foo href=something_not_in_quotes>
以及更多属性和空白的变体。
foo_start
表达式(与所有pyparsing表达式一样)将返回ParseResults对象。这样可以轻松访问已解析标记的各个部分:
foo_data = foo_start.parseString("<foo img='bar.jpg'>")
print(foo_data.img)
对于您的Nintendo页面抓取工具,请参阅下面带注释的来源:
import pyparsing as pp
# define expressions to match opening and closing tags <h3>
h3, h3_end = pp.makeHTMLTags("h3")
# define a specific type of <h3> tag that has the desired 'class' attribute
h3_b3 = h3().addCondition(lambda t: t['class'] == "b3")
# similar for <p>
p, p_end = pp.makeHTMLTags("p")
p_b3_row_price = p().addCondition(lambda t: t['class'] == "b3 row-price")
# similar for <img>
img, _ = pp.makeHTMLTags("img")
img_expr = img().addCondition(lambda t: t.src.startswith("//media.nintendo.com/nintendo/bin"))
# define expressions to capture tag body for title and price - include negative lookahead for '<' so that
# tags with embedded tags are not matched
LT = pp.Literal('<')
title_expr = h3_b3 + ~LT + pp.SkipTo(h3_end)('title') + h3_end
price_expr = p_b3_row_price + ~LT + pp.SkipTo(p_end)('price') + p_end
# compose a scanner expression by '|'ing the 3 sub-expressions into one
scanner = title_expr | price_expr | img_expr
# not shown - read web page into variable 'html'
# use searchString to search through the retrieved HTML for matches
for match in scanner.searchString(html):
if 'title' in match:
print("Title:", match.title)
elif 'price' in match:
print("Price:", match.price)
elif 'src' in match:
print("Img src:", match.src)
else:
print("???", match.dump())
打印的前几场比赛是:
Img src: //media.nintendo.com/nintendo/bin/SF6LoN-xgX1iT617eWfBrNcWH6RQXnSh/I_IRYaBzJ61i-3hnYt_k7hVxHtqGmM_w.png
Title: Hyrule Warriors: Definitive Edition
Price: $59.99
Img src: //media.nintendo.com/nintendo/bin/wcfCyAd7t2N78FkGvEwCOGzVFBNQRbhy/AvG-_d4kEvEplp0mJoUew8IAg71YQveM.png
Title: Donkey Kong Country: Tropical Freeze
Price: $59.99
Img src: //media.nintendo.com/nintendo/bin/QKPpE587ZIA5fUhUL4nSbH3c_PpXYojl/J_Wd79pnFLX1NQISxouLGp636sdewhMS.png
Title: Wizard of Legend
Price: $15.99