使用 BeautifulSoup 从 img 标签中提取 src url答案

【问题标题】：Extracting the src url from img tag using BeautifulSoup使用 BeautifulSoup 从 img 标签中提取 src url
【发布时间】：2020-12-01 13:20:20
【问题描述】：

我正在尝试获取 img src 的 URL 部分。我想提取以下 URL：https://images-na.ssl-images-amazon.com/images/I/41YEd80s6SL._SX384_BO1,204,203,200_.jpg

返回的是我认为是编码图像的以下内容？

数据：图像/ JPEG; BASE64，/ 9J / 4AAQSkZJRgABAQAAAQABAAD / 2wCEABYWGBQYFBwaFhwYHBocIiceGBwgLjg0JzAlNiwsIjYsJTAlIzIsMDouNjA + TkBJPjpnUERYLkRHelJ8ZoZaUnYBDhoYGiAiGh4eIiIeICciRTAgHlIyNDgiSRQ4Hic2Jyk4HCcuMhwpPClJFj4eFFQ6RzIjRScgHiM2JxowNFY2Ov / AABEIARwA3AMBIgACEQEDEQH .... P>

600 多行，我没有全部添加。

这是我的代码：

from bs4 import BeautifulSoup
import requests

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; 64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

url = "https://www.amazon.co.uk/Django-Professionals-Production-websites-Python/dp/1081582162/ref=sr_1_1?dchild=1&keywords=django+for+professionals&qid=1597167266&sr=8-1"
resp = requests.get(url, headers=headers)
soup = BeautifulSoup(resp.content,features="lxml")
product_title = soup.select("#productTitle")[0].get_text().strip()
author = soup.select(".contributorNameID")[0].get_text().strip()

images = soup.findAll('img')
for image in images:
    print (image['src'])

编辑：其他 img src 似乎与网址一起返回，而不是我专门针对的那个。

【问题讨论】：

标签： url beautifulsoup extract

【解决方案1】：

我相信你可以这样做：

encoded_image = base64.b64decode(image['src'])

【讨论】：

【解决方案2】：

要提取https://images-na.ssl-images-amazon.com/images/I/41YEd80s6SL._SX384_BO1,204,203,200_.jpg图像，可以解析data-a-dynamic-image属性：

import json
import requests
from bs4 import BeautifulSoup

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; 64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

url = "https://www.amazon.co.uk/Django-Professionals-Production-websites-Python/dp/1081582162/ref=sr_1_1?dchild=1&keywords=django+for+professionals&qid=1597167266&sr=8-1"
resp = requests.get(url, headers=headers)
soup = BeautifulSoup(resp.content,features="lxml")
product_title = soup.select("#productTitle")[0].get_text().strip()
author = soup.select(".contributorNameID")[0].get_text().strip()

images = soup.find_all('img', src=lambda s: 'data:' in s)
for image in images:
    for img in json.loads(image['data-a-dynamic-image']):
        print(img)

打印：

https://images-na.ssl-images-amazon.com/images/I/41YEd80s6SL._SX384_BO1,204,203,200_.jpg
https://images-na.ssl-images-amazon.com/images/I/41YEd80s6SL._SX258_BO1,204,203,200_.jpg

【讨论】：