If you want to quickly learn web scraping, the most valuable language to study is definitely Python. Python has a wide range of applications, such as rapid web development, web scraping, and automated operations. You can create simple websites, automated posting scripts, email sending and receiving scripts, and simple CAPTCHA recognition scripts.
Web scraping involves many reusable processes during development. In this article, I’ll summarize 10essential tips that can save time and effort in the future, helping you complete tasks efficiently.
1. Basic Web Scraping
Use get method
import urllib2
url = "http://www.test.com"
response = urllib2.urlopen(url)
print response.read()Use post method
import urllib
import urllib2
url = "http://test.com"
form = {'name':'abc','password':'1234'}
form_data = urllib.urlencode(form)
request = urllib2.Request(url,form_data)
response = urllib2.urlopen(request)
print response.read()2. Use Proxy IPs
During web scraping development, you often encounter situations where your IP gets blocked. In such cases, you need to use proxy IPs. In the urllib2 package, there is a ProxyHandler class that allows you to set up a proxy to access web pages…
