如何使用涉及html表的Beautiful Soup从页面中抓取产品信息[关闭]
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【中文标题】如何使用涉及html表的Beautiful Soup从页面中抓取产品信息[关闭]【英文标题】:How to scrape the product information from the page using Beautiful Soup in which html table are involved [closed] 【发布时间】:2021-10-17 20:00:49 【问题描述】:import requests
from bs4 import BeautifulSoup
import pandas as pd
baseurl='https://books.toscrape.com/'
headers =
'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (Khtml, like Gecko) Chrome/91.0.4472.114 Safari/537.36'
r =requests.get('https://books.toscrape.com/' )
soup=BeautifulSoup(r.content, 'html.parser')
productlinks=[]
Title=[]
Brand=[]
tra = soup.find_all('article',class_='product_pod')
for links in tra:
for link in links.find_all('a',href=True)[1:]:
comp=baseurl+link['href']
productlinks.append(comp)
for link in productlinks:
r =requests.get(link,headers=headers)
soup=BeautifulSoup(r.content, 'html.parser')
try:
title=soup.find('h3').text
except:
title=' '
Title.append(title)
price=soup.find('p',class_="price_color").text.replace('£','').replace(',','').strip()
Brand.append(price)
df = pd.DataFrame(
"Title": Title, "Price": price
)
print(df)
上述脚本按预期工作,但我想抓取每个产品的信息,例如upc
,product type
example 获取这些单页的信息
https://books.toscrape.com/catalogue/a-light-in-the-attic_1000/index.html
刮upc
,product type
等...所有其他信息都在产品信息
【问题讨论】:
我没有看到任何尝试在多个页面上操作的代码。到目前为止,您在这方面做了哪些尝试? 请修正您的代码。 【参考方案1】:您可以在 URL 中使用start=
参数来获取下一页:
import requests
from bs4 import BeautifulSoup
for page in range(0, 10): # <-- increase number of pages here
r = requests.get(
"https://pk.indeed.com/jobs?q=&l=Lahore&start=".format(page * 10)
)
soup = BeautifulSoup(r.content, "html.parser")
title = soup.find_all("h2", class_="jobTitle")
for i in title:
print(i.text)
打印:
Data Entry Work Online
newAdmin Assistant
newNCG Agent
Data Entry Operator
newResearch Associate Electrical
Administrative Assistant (Executive Assistant)
Admin Assistant Digitally
newIT Officer (Remote Work)
OFFICE ASSISTANT
Cash Officer - Lahore Region
newDeputy Manager Finance
Admin Assistant
Lab Assistant
newProduct Portfolio & Customer Service Specialist
Front Desk Officer
newRelationship Manager, Recovery
MANAGEMENT TRAINEE PROGRAM
Email Support Executive (International)
Data Entry Operator
Admin officer
...and so on.
【讨论】:
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