# extract description from the name companyname = data[1].find('span', attrs={'class':'company-name'}).getText() description = company.replace(companyname, '') # remove unwanted characters sales = sales.strip('*').strip('†').replace(',','') 我们要保存的最后一个变量是公司网站。
``` # Python script for scraping data from social media platforms import requests def scrape_social_media_data(url): response = requests.get(url) # Your code here to extract relevant data from the response ``` 说明: 此Python脚本执行网页抓取以从社交媒体平台提取数据。它获取所提供URL的内容,然...
``` # Python script for scraping data from social media platforms import requests def scrape_social_media_data(url): response = requests.get(url) # Your code here to extract relevant data from the response ``` 说明: 此Python脚本执行网页抓取以从社交媒体平台提取数据。它获取所提供URL的内容,然...
open(start) html = r.read() soup = BeautifulSoup(html) for link in soup.find_all('a'): linkText = str(link) fileName = str(link.get('href')) if filetype in fileName: image = urllib.URLopener() linkGet = http://www.irrelevantcheetah.com + fileName filesave = string.lstrip(fil...
文本中的代码单词、数据库表名、文件夹名、文件名、文件扩展名、路径名、虚拟 URL、用户输入和 Twitter 句柄显示如下:“我们可以通过使用include指令包含其他上下文。” 代码块设置如下: importsocket socket.setdefaulttimeout(3) newSocket = socket.socket() ...
from urllib.parseimporturlencode params=dict(q='Sausages',format='json')handle=urlopen('http://api.duckduckgo.com'+'?'+urlencode(params))raw_text=handle.read().decode('utf8')parsed=json.loads(raw_text)results=parsed['RelatedTopics']forrinresults:if'Text'inr:print(r['FirstURL']+' - '+...
```# Python script for web scraping to extract data from a websiteimport requestsfrom bs4 import BeautifulSoupdef scrape_data(url):response = requests.get(url)soup = BeautifulSoup(response.text, 'html.parser')# Your code here t...
# table2 = page01.extract_tables()#提取多个表格 print(table1) 3、Python处理Email 在Python中可以使用smtplib配合email库,来实现邮件的自动化传输,非常方便。 importsmtplib importemail # 负责将多个对象集合起来 fromemail.mime.multipartimportMIMEMultipart ...
解压文件 """ # filename,要解压的压缩包文件 # extract_dir,解压的路径 # format,压缩文件格式 """ # shutil.unpack_archive(filename=r'datafile.zip', extract_dir=r'xxxxxx/xo', format='zip') 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 7. 路径...
所以,假设有2000页,一个个试 r3 = requests.get(bookurl2, header0) if r3.status_code==200: f1 = open(mulu1 + '' + filename1, 'wb') f1.write(r3.content) f1.close() print(filename1) else: print(bookname+"___下载完成!") break...