Shulou(Shulou.com)06/03 Report--

This article introduces the relevant knowledge of "the reason why Python crawlers must use proxy technology when collecting data". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

With the rapid popularization and development of the Internet, people have entered the era of big data of the Internet. It can be said that everything in today's work and life is inseparable from data, and big data's collection and analysis is particularly important.

1. It can help individuals and enterprises to provide future planning and provide users with a better experience.

Then data collection is a very important task. There is a lot of data collected, which is very complicated. When distributed on different websites, relying on people to collect and crawl is unrealistic, too slow, not in line with the current work efficiency.

2. You need to crawl data with Python crawler. Continuously crawl the data resources on the network, so that the high-frequency access to the data of the target website will trigger the protection of the server and limit the network IP of the crawling device, that is, blocking IP processing.

The proxy IP is like a mask that hides the real IP address. But that doesn't mean the proxy IP is fake and doesn't exist. In fact, on the contrary, the agent's IP address is the real online IP address. So, there will be problems with the real IP, and the proxy IP will also appear, such as network latency, disconnection, and so on; therefore, we need an alternate IP address to replace it, because crawlers often have a lot of data to crawl and need a lot of spare IP replacement.

This is the reason why Python crawlers must use proxy technology when collecting data. Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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