Python crawling Zhihu and my understanding of crawler and anti-crawler

Python can use third party libraries (e.g. requests, BeautifulSoup, Scrapy, etc.) to perform data crawling of Zhihu. Crawler refers to the technique of automatically obtaining data on a web page through a program, while anti-crawler refers to a series of measures taken by a website to prevent data from being obtained by a crawler program. When crawling data from Zhihu, you need to pay attention to the following points: 1. Use legal ways to crawl data and comply with the relevant regulations and protocols of Zhihu. 2. Set a reasonable crawling frequency to avoid overburdening the server of Zhihu. 3. Use appropriate request headers to simulate the real browser behavior, so as to avoid being recognized by the website as a crawler. 4. Handle the anti-crawler mechanisms, such as CAPTCHA, login, etc., in order to ensure that the data can be successfully fetched. Octopus Collector can help users automate these operations, providing the functions of intelligent identification and customized collection rules, which can be convenient for crawling and analyzing Zhihu data. Octopus Collector also provides a variety of ways to export data, which is convenient for users to carry out subsequent data processing and analysis. Octopus Collector is a powerful web data collector that can help users quickly and efficiently obtain data from various websites. If you need to carry out crawling and analysis of Zhihu data, you can consider using Octopus Collector. To learn more about Octopus Collector's features and cooperation cases, please go to the official website for more details.