62 million IPs worldwide
Using web crawler for data crawling is an efficient way, but it also faces various challenges and problems. During crawling, common problems may affect the performance of the crawler and the accuracy of the data. Here are six common problems that web crawlers often encounter in the process of data crawling:
Speed limit: In order to protect the website server from excessive load pressure, many websites have taken measures to limit the crawl speed. This means that the crawler can only execute a limited number of requests in a given period of time, and requests that exceed the limit may result in blocking or other restrictive measures. The purpose of the speed limit is to ensure the normal operation and stability of the website, and to prevent excessive crawler requests from affecting the access experience of normal users. The webmaster controls the speed of the crawler by setting a frequency limit, usually the number of requests per second, per minute, or per hour.
Captcha Tip: In order to identify and prevent malicious crawlers from accessing the website, many websites will trigger a capTCHA mechanism under certain circumstances. This usually happens when the user makes a large number of requests, fails to properly mimic the crawler's fingerprint, or uses a low-quality proxy.
A CAPTCHA is a human-machine verification mechanism that requires the user to provide the correct answer or input what is seen based on the graph or question by showing the user a graph or question containing words, numbers, images, or other recognizable content. By requiring users to manually enter or click on the correct graphic, captCHA can effectively differentiate between human users and automated crawlers.
Website structure changes: Over time, the design and content of the website may change, including HTML markup and structure changes. This can cause the crawler to not parse the web page properly because the site may remove, modify, or rename certain classes or element ids, making it impossible for the crawler to accurately find the data it needs.
When the structure of the site changes, the crawler needs to adjust and adapt accordingly to ensure that it can correctly extract the required data.
Slow loading: When a website receives a large number of requests in a short period of time, the response speed of its servers can be slow or even unstable. This can cause a delay in the crawler waiting for a response from the server and may interrupt the crawl process.
Websites can load slowly for a variety of reasons, including insufficient server resources, network congestion, long response times, complex database queries, and so on. When a website has a slow loading speed, the crawler may be affected when carrying out large-scale data crawling, affecting the efficiency and completion of the crawling.
In order to ensure the stable operation of the website, many websites will limit the access of crawlers to reduce the server load. These restrictions can take different forms, including limiting the frequency of requests per IP address, setting access quotas or quota time Windows, authentication using access tokens or keys, and so on.
IP Restricted: Websites can restrict access to crawlers by identifying the IP address they use, for example by identifying and blocking crawlers using data center proxy IP, or by limiting too fast crawl speeds. This results in the crawlers not being able to access the site properly or being blocked frequently, which affects the efficiency and integrity of data crawling.
In order to solve the problem of IP limitation, the method of dynamic crawler proxy can be adopted. A dynamic crawler proxy is a proxy server that uses different IP addresses to help crawlers hide the real IP address and rotate different IP addresses for access. By using a dynamic crawler agent, a crawler can use a different IP address each time it visits a website, thus bypassing the restrictions of the website, and data crawling can be done efficiently.
When crawling data, web crawlers need to deal with these common problems and adopt corresponding strategies to solve or circumvent these problems. Through reasonable scheduling and configuration, crawlers can better cope with these challenges and ensure the accuracy of data and the smooth progress of crawling.
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