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python - requests_html 查找子元素内的所有 img 标签

问题描述

对于这些 div 中的每一个：

（例子）

<div class="khRVwd Y37F6d"><img id="rimg_sqVNYKK9FY7l-gSQlbP4CQ13" src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTqjFYOHXAUsawFW2-4Js3VPmPHKXlgS28gx_qY-elNz1XPso9OLSzibeaCd0Nu&amp;s=10" alt=""></div>

在用 javascript 渲染整个页面后，我试图从这个网站上抓取所有电影图像。我想要的例子：

<img id="rimg_sqVNYKK9FY7l-gSQlbP4CQ13" src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTqjFYOHXAUsawFW2-4Js3VPmPHKXlgS28gx_qY-elNz1XPso9OLSzibeaCd0Nu&amp;s=10" alt="">

<img id="rimg_sqVNYKK9FY7l-gSQlbP4CQ15" src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQNj-2DTTNT9flGEEOF2-KgGHuqD0pyRgZjoJ_1YMwDpBbPnVpXLsDD5GAo5gyb&amp;s=10" alt="" class="kUzFve CgpFtc">

我试过的：

from requests_html import HTMLSession

session = HTMLSession()

r = session.get("https://www.google.com/search?q=new+movies&oq=new+movies#wxpd=:true")
r.html.render(sleep=15)
print(r.html.find(".khRVwd"))

但我得到的输出是：

[<Element 'div' class=('khRVwd', 'Y37F6d')>, <Element 'div' class=('khRVwd', 'Y37F6d') 
style='height:162px'>, <Element 'div' class=('khRVwd', 'Y37F6d')>, <Element 'div' class=('khRVwd', 'Y37F6d') style='height:162px'>, <Element 'div' class=('khRVwd', 'Y37F6d')>, <Element 'div' class=('khRVwd', 'Y37F6d') style='height:162px'>, <Element 'div' class=('khRVwd', 'Y37F6d')>, <Element 'div' class=('khRVwd', 'Y37F6d') style='height:162px'>, <Element 'div' class=('khRVwd', 'Y37F6d')>, <Element 'div' class=('khRVwd', 'Y37F6d') style='height:162px'>, <Element 'div' class=('khRVwd', 'Y37F6d')>, <Element 'div' class=('khRVwd', 'Y37F6d') style='height:162px'>

这是我要捕获的元素的父元素。

我不确定如何从具有类的 div 搜索到该子 <img 标记

编辑（想通了）：

from bs4 import BeautifulSoup
from requests_html import HTMLSession


session = HTMLSession()

r = session.get("https://www.google.com/search?q=new+movies&oq=new+movies#wxpd=:true")
r.html.render(sleep=6)
links = r.html.find(".khRVwd")
for link in links:
    list1 = link.find("img")
    for img in list1:
        print(img.attrs["src"])

r.close()
session.close()

输出：

data:image/jpeg;base64,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
...

标签： pythonpython-3.xpython-requests-html

解决方案

我想通了

from requests_html import HTMLSession


session = HTMLSession()

r = session.get("https://www.google.com/search?q=new+movies&oq=new+movies#wxpd=:true")
r.html.render(sleep=6)
links = r.html.find(".khRVwd")
for link in links:
    list1 = link.find("img")
    for img in list1:
        print(img.attrs["src"])

r.close()
session.close()

对于任何想知道的人，这可能会有所帮助。

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