When using Python for web crawling, we often encounter a problem: how to prevent our crawlers from being blocked by the target website? One effective way is to use overseas dynamic IP proxies. Below, I will explain in detail how to use overseas dynamic IP proxies, as well as some other anti-blocking strategies.
A proxy server is like a middleman between you and the target website. When you send a request through a proxy server, the target website sees the IP address of the proxy server instead of your real IP address. A dynamic IP proxy means that a new IP address will be used for each connection. This way, even if an IP address is blocked, you can immediately switch to a new IP address.
So, how to use overseas dynamic IP proxy in Python? First, you need to buy or obtain overseas dynamic IP proxy. There are many suppliers who provide such services, such as kookeey, etc. Kookeey now provides 200M dynamic traffic test for users to evaluate the product. For more information, please visit the official website. You can choose a suitable supplier according to your needs and budget. After obtaining the proxy IP, set the proxy IP in Python. You can use the proxies parameter of the requests library to set the proxy IP.
In addition to using overseas dynamic IP proxies, you also need to pay attention to other anti-blocking strategies. First, you need to rotate proxy IPs regularly. Even if you use overseas dynamic IP proxies, if the same proxy IP is used frequently, it may be identified as a crawler by the website and blocked. You can create a proxy IP pool and randomly select a proxy IP for each request.
Secondly, you need to set a reasonable crawling frequency. Even if you use a proxy IP, if your crawling frequency is too high, it may be identified as a crawler and blocked by the website. Therefore, you need to set a reasonable crawling frequency, such as setting a certain delay between each request.
Finally, you can try to avoid being blocked by simulating normal user behavior. For example, you can set the User-Agent to simulate different browsers and operating systems, and you can use cookies to simulate the user's logged in state. In addition, you can also try to simulate the user's browsing behavior, such as clicking on random links on the page, or visiting the target website's homepage before sending a request.
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