在 python3 中使用 BeautifulSoup 提取 html 中的元素时出现问题<script>

Answer 1

只需使用

.find()

 或 

find_all()

当我这样做时，我看到它实际上是 json 格式，因此可以读取该元素并以这种方式存储所有数据。

import requests
from bs4 import BeautifulSoup
import json
import re

url = "https://www.daraz.pk/catalog/?q=dell&_keyori=ss&from=input&spm=a2a0e.searchlist.search.go.57446b5079XMO8"
page = requests.get(url)

print(page.status_code)
print(page.text)
soup = BeautifulSoup(page.text, 'html.parser')
print(soup.prettify())



alpha = soup.find_all('script',{'type':'application/ld+json'})

jsonObj = json.loads(alpha[1].text)

for item in jsonObj['itemListElement']:
    name = item['name']
    price = item['offers']['price']
    currency = item['offers']['priceCurrency']
    availability = item['offers']['availability'].split('/')[-1]
    availability = [s for s in re.split("([A-Z][^A-Z]*)", availability) if s]
    availability = ' '.join(availability)

    url = item['url']

    print('Availability: %s  Price: %0.2f %s   Name: %s' %(availability,float(price), currency,name))

输出：

Availability: In Stock  Price: 82199.00 Rs.    Name: DELL INSPIRON 15 5570 - 15.6"HD - CI5 - 8THGEN - 4GB - 1TB HDD -  AMD RADEON 530 2GB GDDR5.
Availability: In Stock  Price: 94599.00 Rs.    Name: DELL INSPIRON 15 3576 - 15.6"HD - CI7 - 8THGEN - 4GB - 1TB HRD - AMD Radeon 520 with 2GB GDDR5.
Availability: In Stock  Price: 106399.00 Rs.    Name: DELL INSPIRON 15 5570 - 15.6"HD - CI7 - 8THGEN - 8GB - 2TB HRD -  AMD RADEON 530 2GB GDDR5.
Availability: In Stock  Price: 17000.00 Rs.    Name: Dell Latitude E6420 14-inch Notebook 2.50 GHz Intel Core i5 4GB 320GB Laptop
Availability: In Stock  Price: 20999.00 Rs.    Name: Dell Core i5 6410 8GB Ram Wi-Fi Windows 10 Installed ( Refurb )
Availability: In Stock  Price: 18500.00 Rs.    Name: Core i-5 Laptop Dell 4GB Ram 15.6 " Display Windows 10 DVD+Rw ( Refurb )
Availability: In Stock  Price: 8500.00 Rs.    Name: Laptop Dell D620 Core 2 Duo 80_2Gb (Used)
...

编辑：查看 2 个 json 结构的差异：

jsonObj_0 = json.loads(alpha[0].text)
jsonObj_1 = json.loads(alpha[1].text)

print(json.dumps(jsonObj_0, indent=4, sort_keys=True))
print(json.dumps(jsonObj_1, indent=4, sort_keys=True))