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HomeBackend DevelopmentPython TutorialDetailed introduction to crawler pictures

This article mainly introduces relevant information about the simple implementation of Python crawler images. Friends who need it can refer to the simple implementation of Python crawler images. I often browse Zhihu, and sometimes I want to save some pictures of problems together. Hence this program. This is a very simple image crawler program that can only crawl the part of the image that has been brushed out. Since I am not familiar with this part of the content, I will just say a few words and record the code without explaining too much. If you are interested, you can use it directly. Personal testing is available on websites such as Zhihu. The previous article shared how to open images through URLs. The purpose is to first see what the crawled images look like, and then filter and save them. The requests library is used here to obtain page information. It should be noted that when obtaining page information, a header is required to disguise the program as a browser to access the server, otherwise it may be rejected by the server. Then use BeautifulSoup to filter excess information to get the image address. After getting the picture, filter out some small pictures such as avatars and emoticons based on the size of the picture. Finally, there are more choices when opening or saving pictures. Open

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##Introduction: This article mainly introduces relevant information about the simple implementation of Python crawler images. Friends in need can refer to Detailed introduction to crawler pictures

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Examples of python implementing simple crawler functions

Introduction: This article mainly introduces examples of python implementing simple crawler functions. It mainly realizes what we want An example of crawling pictures to a local area, friends in need can learn about it.

[Related Q&A recommendations]:

Crawler pictures - Questions about Python crawlers

Crawler pictures - I would like to ask you: Python crawler encoding problem, version 3.6, win10 64-bit?

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