Python crawler using proxy ip
In recent years, with the rapid growth of Internet data, web crawlers have become a common tool for data crawling. However, as the restrictions on crawling behavior become more and more stringent, the use of proxy ip has become a common technique for crawlers. python, as a simple but powerful programming language, has a wealth of third-party libraries, which makes it easy to use proxy ip for website data crawling.
Crawler proxy ip address
In Python, crawling with proxy ip can be done with the help of some third-party libraries, such as requests, urllib, and so on. When making a request to a website, we can set the proxy ip to hide the real source of access, thus circumventing the anti-crawler mechanism of the website. The following is a simple Python crawler example using proxy ip:
"`ipipgothon
import requests
proxy = {
'http': 'http://127.0.0.1:8888', # Proxy ip address and port
'https': 'https://127.0.0.1:8888'
}
url = 'https://www.example.com' # url of the target website
response = requests.get(url, proxies=proxy)
print(response.text) # Prints the content of the fetched web page
“`
Through the above example, we can see that we can easily realize the proxy function of the crawler just by adding the proxy ip setting when initiating the request. Of course, it is worth noting that the stability and quality of the proxy ip is critical to the effectiveness of the crawler, it is recommended to choose a stable, highly anonymous proxy ip provider to ensure the smooth operation of the crawler. I hope this article for the use of Python crawler proxy ip settings can help.