使用beautifulsoup提取img URL

问题描述 投票:0回答:1

我想从Amazon抓取图像URL,但我不明白。那就是我的代码:

from bs4 import BeautifulSoup
import requests
from csv import writer

URL = "https://www.amazon.de/gp/product/B01NCX7I5P/ref=ox_sc_act_title_4?smid=A30K5QJOZDKVAA&psc=1"

response = requests.get(URL, headers={"User-Agent":"Mozilla/5.0"})

soup = BeautifulSoup(response.text, "html.parser")

img = soup.find(class_="imgTagWrapper")

print(img)

这是我的输出:

<div class="imgTagWrapper" id="imgTagWrapperId">
<img alt="TURATA Digitaler Messschieber IPX54 Wasserdichte Schieblehre Edelstahl 150 mm / 6 Zoll f&amp;uuml;r Abst&amp;auml;nden, Durchmesser, Tiefenma&amp;szlig;, mit LCD Display Profimessger&amp;auml;t" class="a-dynamic-image a-stretch-horizontal" data-a-dynamic-image='{"https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL._SX342_.jpg":[342,342],"https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL._SX466_.jpg":[466,466],"https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL._SX425_.jpg":[425,425],"https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL._SX522_.jpg":[522,522],"https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL._SX385_.jpg":[385,385]}' data-a-image-name="landingImage" data-old-hires="https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL._SL1500_.jpg" id="landingImage" onload="if(this.width/this.height &gt; 1.0){this.className += ' a-stretch-horizontal'}else{this.className += ' a-stretch-vertical'};this.onload='';" src="
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Thread 'MainThread' (0x1) hat mit Code 0 (0x0) geendet.
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" style="max-width:522px;max-height:522px;"/>
</div>

我需要URL“ https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL.SX342.jpg”,它应该是单独的,以便我可以更改产品URL并仍然获得与Amazon相同的第一张图片。我还观看了此线程:How to extract img src from web page via lxml in beautifulsoup using python?,但不是单个线程。

我希望任何人都能帮助我,并且抓取的部分看起来与我在Google Chrome浏览器中观看的html代码有些不同

python beautifulsoup python-requests-html
1个回答
0
投票

这是因为他们将图像编码为base64,一旦打开页面,该图像就会在浏览器中呈现。

您可以从另一个属性获取图像网址,如下所示:

from bs4 import BeautifulSoup
import requests

headers = {"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.130 Safari/537.36"}

url = "https://www.amazon.de/gp/product/B01NCX7I5P/ref=ox_sc_act_title_4?smid=A30K5QJOZDKVAA&psc=1"

response = requests.get(url, headers=headers).text
soup = BeautifulSoup(response, 'html.parser')
imgdata = soup.select("#imgTagWrapperId img")
img_url = imgdata[0].attrs['data-old-hires']
print(img_url)

输出:

https://images-na.ssl-images-amazon.com/images/I/61JepX9ctWL._SL1500_.jpg
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