This article mainly introduces how to use Python to crawl qq music The article provides a detailed introduction and sample code for music URLs and related information on batch downloading. I believe it has certain reference value for everyone. Friends who need it can take a look below.
Preface
There is still a lot of music on qq music. Sometimes I want to download good music, but every time I download it on the web page, I have to log in annoyingly. So, here comes the qqmusic crawler. At least I think the core of the for loop crawler is to find the URL of the element to be crawled (don’t laugh at me if I’m wrong)
The implementation is as follows
#Find the url:
This url is not as easy to find as other websites. It makes me very tired. The key is that there is a lot of data. I picked out the useful data from so much data and finally combined it into the real music. Here are some intermediate URLs I compiled yesterday:
#. url1: https://c.y.qq.com/soso/fcgi-bin/client_search_cp?&lossless=0&flag_qc=0&p=1&n=20&w=雨die
#url2: https://c.y.qq.com/base /fcgi-bin/fcg_music_express_mobile3.fcg?&jsonpCallback=MusicJsonCallback&cid=205361747&[songmid]&C400+songmid+.m4a&guid=6612300644
#url3:http://dl.stream.qqmusic.qq.com/[filename] ?vkey=[vkey] (where vkey replaces the string unique to the music)
requests(url1)
is searched by The list obtains the songmid and mid of each music (according to the author's observation, these two values are unique to each music). With these two values, the complete specific value of url2 is obtained.
#requests(url2)
Get the vkey value of each music in the search results. After the author’s observation, the filename is C400songmid.m4a, and then the specific value of url3 is determined. And url3 is the real url of the music. Since the author did not study the other parameters of this url thoroughly enough, a maximum of 20 music urls are returned each time. With the url, you can enjoy Tencent's music to your heart's content.
Here is the code block of srcs:
import requests import urllib import json word = '雨蝶' res1 = requests.get('https://c.y.qq.com/soso/fcgi-bin/client_search_cp?&t=0&aggr=1&cr=1&catZhida=1&lossless=0&flag_qc=0&p=1&n=20&w='+word) jm1 = json.loads(res1.text.strip('callback()[]')) jm1 = jm1['data']['song']['list'] mids = [] songmids = [] srcs = [] songnames = [] singers = [] for j in jm1: try: mids.append(j['media_mid']) songmids.append(j['songmid']) songnames.append(j['songname']) singers.append(j['singer'][0]['name']) except: print('wrong') for n in range(0,len(mids)): res2 = requests.get('https://c.y.qq.com/base/fcgi-bin/fcg_music_express_mobile3.fcg?&jsonpCallback=MusicJsonCallback&cid=205361747&songmid='+songmids[n]+'&filename=C400'+mids[n]+'.m4a&guid=6612300644') jm2 = json.loads(res2.text) vkey = jm2['data']['items'][0]['vkey'] srcs.append('http://dl.stream.qqmusic.qq.com/C400'+mids[n]+'.m4a?vkey='+vkey+'&guid=6612300644&uin=0&fromtag=66')
With srcs, downloading is naturally no problem. Of course, you can also copy the src to the browser to download the singer and song title. You can also use large Python to download in batches, which is nothing more than a loop, similar to the method we used to download sogou
pictures: (author's py version: python3.3.3)
print('For '+word+' Start download...') x = len(srcs) for m in range(0,x): print(str(m)+'***** '+songnames[m]+' - '+singers[m]+'.m4a *****'+' Downloading...') try: urllib.request.urlretrieve(srcs[m],'d:/music/'+songnames[m]+' - '+singers[m]+'.m4a') except: x = x - 1 print('Download wrong~') print('For ['+word+'] Download complete '+str(x)+'files !')
#Running effect:
Download starts , below... Go to the download directory and take a look:
music has been successfully downloaded. . .
At this point, the description of the idea and implementation of qqmusic’s url crawler program is complete.
#Usage:musicplayer Students who have made shells should be able to use it. In fact, the original intention of doing this is to serve my HTML-based musicplayer. But now I am stuck in the link of js calling py. I will look for it again. If you understand, please let me know. Thank you very much!
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