python爬虫之biilibili弹幕爬取+qq音乐热评爬取_哔哩哔哩直播弹幕怎么爬取

目录

前言

Bilibili弹幕爬取

分析与弹幕相关的内容

BilibiliSpider源码

run.py

结果截图

QQ音乐热评爬取

QQ音乐热评爬取源码

run.py

settting.py

结果截图:

结语:

---

前言

爬虫的方法很多比如用requests,beautifulsoup,scrapy这些库可以很方便的抓取网页内容。如果他的web端提供api接口那就更方便了，如果提供返回json数据也可以

---

Bilibili弹幕爬取

要爬取弹幕首先我们要分析它是如何进行http请求的，我们这里使用360极速浏览器的内置开发者工具，查看网络请求过程

分析与弹幕相关的内容

发现这是bilibili的一个api接口，那这就简单了，直接调用它的接口获取数据，这里有一个oid我们不知道是什么，我们直接搜索这个数值发现

这个请求出现了这个数值叫cid

cid是通过url里面的内容得到的

很明显是区分video的

于是我们可以得到如下代码(使用scrapy库)

BilibiliSpider源码

import scrapy
import re
import json
from matplotlib import pyplot as plt 
# 视频排序方式
sort_model = {1:"totalrank",2:"click",3:"pubdate",4:"dm",5:"stow"}
 
# bilibili 弹幕分析
class BilibiliDanmuSpider(scrapy.Spider):
	name="BilibiliDanmuSpider"
	#,"https://api.bilibili.com/x/v1/dm/list.so?oid=43147218"
	def __init__(self,key=None,*args,**kwargs):
		super(eval(self.__class__.__name__),self).__init__(*args,**kwargs)
		print(key)
		self.start_urls=["https://search.bilibili.com/all?keyword=%s"%(key)]
		self.danmu_header = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.167 Safari/537.36','Accept': '*/*','Accept-Encoding': 'gzip, deflate, br','Accept-Language': 'zh-CN,zh;q=0.9'}
 
	def isHttpUrl(self,url):
  		return len(re.findall("^(http)s?://*",url))==1
 
	def parse(self,response):
			try:
				data=response.body.decode()
				selector=scrapy.Selector(text=data)
				print(response.url)
				for url in selector.xpath("//ul[@type='video']/li/a/@href").extract():
					url="https:%s"%(url)
					if self.isHttpUrl(url):
						yield scrapy.Request(url=url,callback=self.parseSubPage)
			except Exception as err:
				print(err)
	
	def parseSubPage(self,response):
			try:
				#print("subPage=%s"%(response.url))
				url=response.url
				#av_id=self.getAVID(url)
				#print(response.url,av_id)
				b_vid=re.findall(r"(?<=video/)[a-zA-Z0-9]+\.?[a-zA-Z0-9]*",url)
				if len(b_vid)==1:
  					b_vid=b_vid[0]
				print("b_vid="+b_vid)
				url = "https://api.bilibili.com/x/player/pagelist?bvid="+b_vid+"&jsonp=jsonp"
				#url = "https://api.bilibili.com/x/player/pagelist?aid="+av_id+"&jsonp=jsonp"
				yield scrapy.Request(url=url,callback=self.getBarrage)
			except Exception as err:
				print(err)
 
	def getAVID(self,url):
		av_id = re.findall(r"(?<=av)\d+\.?\d*",url)
		if len(av_id)>0:
			return av_id[0]
		else:
			return ""
	
	def getBarrage(self,response):
		try:
			res=json.loads(response.text)
			cid=res['data'][0]['cid']
			print(cid)
			url="https://api.bilibili.com/x/v1/dm/list.so?oid=%d"%(cid)
			yield scrapy.Request(url=url,callback=self.getDanMu)
		except Exception as err:
				print(err)
 
	def getDanMu(self,response):
		import wordcloud
		try:
			texts={}
			data=response.body.decode()
			selector=scrapy.Selector(text=data)
			for text in selector.xpath("//d/text()").extract():
					if texts.get(text) == None:
						texts[text]=1
					else:
  						texts[text]+=1
			texts=sorted(texts.items(), key=lambda kv: (kv[1]), reverse=True)
			res=""
			for text in texts:
  				res+=text[0]+","
			print(res[:-1])
			# 构建词云对象w，设置词云图片宽、高、字体、背景颜色等参数
			w = wordcloud.WordCloud(width=1000,height=700,max_words=200,background_color='white', max_font_size=100,font_path="C:/Users/tangy/Desktop/py/lesson.cdu/res/simhei.ttf")
			# 调用词云对象的generate方法，将文本传入
			w.generate(res[:-1])
			plt.figure("response=%s"%(response.url))
			plt.imshow(w)
			plt.axis('off') 
			plt.show()
		except Exception as err:
			print(err)

run.py

from scrapy import cmdline
 
 
key = input("输入关键字:")
 
cmdline.execute(("scrapy crawl BilibiliDanmuSpider -s LOG_ENABLED=False -a key=%s"%(key)).split())

结果截图

---

QQ音乐热评爬取

想要爬取杰伦哥的歌的热评，直接上它的网页，也可以用app但是要用其他的抓包软件。这里只介绍网页端

找到具体位置，清除网络请求并点击加载更多的热评

发现第一个请求便是我们需要的数据

但是呢，我们发现加载更多的数据仍然是相同的数据，怀疑是api的问题于是我们找到它具体的javascript代码

根据代码进行编写，多次实验发现是同一数据，于是尝试修改pagesize，终于200是比较合适的，可以正常返回数据

---

新加:

https://c.y.qq.com/base/fcgi-bin/fcg_global_comment_h5.fcg?format=json&cid=205360772&reqtype=2&biztype=1&topid=104883226&cmd=6&needmusiccrit=1&pagenum=4&pagesize=20

这个连接是从桌面的应用抓的包得到的，根据这个就可以获取更多的热评

---

于是开始分析请求url

分析前面很多都是固定的，还有就是qq音乐的版本，所以我们这里不准备获取版本，直接使用当前版本,多首歌对比下来，值得我们注意的参数就只有topid和lasthotcommentid

于是乎开始分析这两个参数是如何得到的

在第一个请求我们找到了这个songid，但是后面在写搜索的时候发现在搜索列表也有数据，于是就用的搜索数据

在第3个url请求我们找到了

接下来对request url进行分析，值得我们注意的是多了一个serachId,这个seachid我觉得是随机生成的于是我就固定一个值，loginUin也可以可有可无，w是搜索的内容

start_urls初始化代码如下

self.start_urls=["https://c.y.qq.com/soso/fcgi-bin/client_search_cp?ct=24&qqmusic_ver=1298&new_json=1&remoteplace=txt.yqq.song&searchid=55594271468033902&t=0&aggr=1&cr=1&catZhida=1&lossless=0&flag_qc=0&p=1&n=10&w=%s&g_tk_new_20200303=652127051&g_tk=652127051&loginUin=&hostUin=0&format=json&inCharset=utf8&outCharset=utf-8&notice=0&platform=yqq.json&needNewCode=0"%(key)]

QQ音乐热评爬取源码

import scrapy
import re
import json
 
class ReviewsSpider(scrapy.Spider):
	name="ReviewsSpider"
	key=""
	pagesize=200
	topId=0
	def __init__(self,key=None,*args,**kwargs):
		self.key=key
		super(eval(self.__class__.__name__),self).__init__(*args,**kwargs)
		self.start_urls=["https://c.y.qq.com/soso/fcgi-bin/client_search_cp?ct=24&qqmusic_ver=1298&new_json=1&remoteplace=txt.yqq.song&searchid=55594271468033902&t=0&aggr=1&cr=1&catZhida=1&lossless=0&flag_qc=0&p=1&n=10&w=%s&g_tk_new_20200303=652127051&g_tk=652127051&loginUin=&hostUin=0&format=json&inCharset=utf8&outCharset=utf-8&notice=0&platform=yqq.json&needNewCode=0"%(key)]
		print(self.start_urls)
		self.music_header = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.167 Safari/537.36','Accept': '*/*','Accept-Encoding': 'gzip, deflate, br','Accept-Language': 'zh-CN,zh;q=0.9'}
	
	def parse(self,response):
		try:
			data=response.body.decode()
			data=json.loads(data)
			songs=data['data']['song']['list']
			if len(songs)==0:
				print("not found by key=%s"%(self.key))
				return
			song=songs[0]
			self.topId=song['id']
			#mId=song['mid']
			url="https://c.y.qq.com/base/fcgi-bin/fcg_global_comment_h5.fcg?g_tk_new_20200303=652127051&g_tk=652127051&loginUin=&hostUin=0&format=json&inCharset=utf8&outCharset=GB2312&notice=0&platform=yqq.json&needNewCode=0&cid=205360772&reqtype=2&biztype=1&topid=%s&cmd=8&needmusiccrit=0&pagenum=0&pagesize=25&lasthotcommentid=&domain=qq.com&ct=24&cv=10101010"%(self.topId)
			yield scrapy.Request(url=url,callback=self.getComments)
		except Exception as err:
			print(err)
 
	def getComments(self,response):
		try:
			data=response.body.decode()
			data=json.loads(data)
			comments=data['hot_comment']['commentlist']
			if len(comments)==0:
				print("found comment error")
				return
			lastcommentid=comments[len(comments)-1]['rootcommentid']
			url="https://c.y.qq.com/base/fcgi-bin/fcg_global_comment_h5.fcg?g_tk_new_20200303=652127051&g_tk=652127051&loginUin=676435008&hostUin=0&format=json&inCharset=utf8&outCharset=GB2312&notice=0&platform=yqq.json&needNewCode=0&cid=205360772&reqtype=2&biztype=1&topid=%s&cmd=6&needmusiccrit=0&pagenum=1&pagesize=%d&lasthotcommentid=%s&domain=qq.com&ct=24&cv=10101010"%(self.topId,self.pagesize,lastcommentid)
			yield scrapy.Request(url=url,callback=self.getHotComment)
		except Exception as err:
			print(err)
 
	def getHotComment(self,response):
		try:
			data=response.body.decode()
			data=json.loads(data)
			comments=data['comment']['commentlist']
			if len(comments)==0:
				print("found comment error")
				return
			for comment in comments:
  				print(comment['rootcommentcontent'])
		except Exception as err:
			print(err)

run.py

from scrapy import cmdline
 
 
key = input("输入关键字:")
 
cmdline.execute(("scrapy crawl ReviewsSpider -s LOG_ENABLED=False -a key=%s"%(key)).split())

settting.py

DEFAULT_REQUEST_HEADERS = {
  'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.167 Safari/537.36',
  'Accept': '*/*',
  'Accept-Encoding': 'gzip, deflate, br',
  'Accept-Language': 'zh-CN,zh;q=0.9'
}
'
运行
运行

结果截图:

---

结语:

不难发现爬取一些简单的数据并不困难，在爬取资源文件的时候多注意资源id的获取