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Editor to share with you how to use Python crawler to crawl website music, I believe that most people do not know much about it, so share this article for your reference, I hope you can learn a lot after reading this article, let's learn about it!

Concrete realization

1. Introduce a third-party library that sends network requests

Import requests # third-party libraries that send network requests

Installation method

Pip install requests

two。 Introduce the data parsing third-party library

From lxml import etree # third-party library for data parsing

Installation method

Pip install lxml

3. The list url of some Yiyun music website is' https://music.163.com/#/discover/toplist?id=3778678'.

Url = 'https://music.163.com/#/discover/toplist?id=3778678'

4. Send a request to get page data

Response = requests.get (urlurl=url) # request page data

5. Parsing data

Html=etree.HTML (response.text) # parsing page data

6. Get all song tag collections (a tags)

Id_list = html.xpath ('/ / a [contains (@ href, "song?")]') # all songs id collection

7. Download songs

Base_url = 'http://music.163.com/song/media/outer/url?id=' # download music URL prefix # download music url = URL prefix + music id for data in id_list: href = data.xpath ('. / @ href') [0] music_id = href.split ('=') [1] # Music id music_url = base_url + music_id # download Music url music_name = data.xpath ('. / text ()') [0] # download music name music = requests.get (url = music_url) # Save the downloaded music as a file with open ('. / music/%s.mp3'% music_name 'wb') as file: file.write (music.content) print (' download succeeded'% music_name)

The pit encountered

I learned the above method from a video, which was released half a year ago. It may have worked well at that time, but today I suddenly made a mistake when I was downloading music files in this way.

First of all, the editor failed to find music_name and music_id. If I take a closer look, the id in the acquired id_list collection (that is, the tag collection) is not id at all, but code. It is estimated that the music website has also done the corresponding anti-scraping mechanism here.

Secondly, I found a piece of music on the website and got its id and assigned id to music_id. As a result, when I used the outer link to download music, it showed that the network was crowded, and it was estimated that the URL for downloading music was not working.

Base_url = 'http://music.163.com/song/media/outer/url?id=' music_id =' 1804320463.mp3' music_url = base_url + music_id music = requests.get (url=music_url) print (music.text)

{"msg": "the network is too crowded, please try again later!" , "code":-460, "message": "the network is too crowded, please try again later!" }

Finally, I print out the music_url, click on it, and I can listen to music and download it. I don't know why.

Base_url = 'http://music.163.com/song/media/outer/url?id=' music_id =' 1804320463.mp3' music_url = base_url + music_id # music = requests.get (url=music_url) print (music_url) these are all the contents of this article entitled "how to use Python crawler to crawl website music". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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