Scrapy 抓取网易云音乐评论 不需要API 速度快
Posted 凹凸曼大人
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首先在spiders下,创建muouren.py
import scrapy import json import time class MyspiderSpider(scrapy.Spider): name = "muou" def start_requests(self): urls = [\'http://music.163.com/api/v1/resource/comments/R_SO_4_1374051000?&offset=%s\' % i for i in range(1, 1000)] # 抓取9页 for url in urls: yield scrapy.Request(url=url, callback=self.parse) def parse(self, response): with open(\'music_comments.csv\', \'a\', encoding=\'utf-8_sig\') as f: response = json.loads(response.text) comments = response[\'comments\'] for comment in comments: # 用户名 user_name = comment[\'user\'][\'nickname\'].replace(\',\', \',\') # 用户ID user_id = str(comment[\'user\'][\'userId\']) # 评论内容 com = comment[\'content\'].strip().replace(\'\\n\', \'\').replace(\',\', \',\') # 评论ID comment_id = str(comment[\'commentId\']) # 评论点赞数 praise = str(comment[\'likedCount\']) # 评论时间 date = time.localtime(int(str(comment[\'time\'])[:10])) structed_date = time.strftime("%Y-%m-%d %H:%M:%S", date) print(user_name, user_id, com, comment_id, praise, structed_date) f.write( user_name + \',\' + user_id + \',\' + com + \',\' + comment_id + \',\' + praise + \',\' + structed_date + \'\\n\')
然后middlewares.py 写入
class NovelUserAgentMiddleWare(object): #随即user_AGENT def __init__(self): self.user_agent_list = [ "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.1 (Khtml, like Gecko) Chrome/22.0.1207.1 Safari/537.1" "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1092.0 Safari/536.6", "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.6 (KHTML, like Gecko) Chrome/20.0.1090.0 Safari/536.6", "Mozilla/5.0 (Windows NT 6.2; WOW64) AppleWebKit/537.1 (KHTML, like Gecko) Chrome/19.77.34.5 Safari/537.1","Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.9 Safari/536.5", "Mozilla/5.0 (Windows NT 6.0) AppleWebKit/536.5 (KHTML, like Gecko) Chrome/19.0.1084.36 Safari/536.5", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", "Mozilla/5.0 (Windows NT 5.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1063.0 Safari/536.3", "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1062.0 Safari/536.3", "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", "Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.1 Safari/536.3", "Mozilla/5.0 (Windows NT 6.2) AppleWebKit/536.3 (KHTML, like Gecko) Chrome/19.0.1061.0 Safari/536.3", "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/535.24 (KHTML, like Gecko) Chrome/19.0.1055.1 Safari/535.24", ] def process_request(self, request, spider): import random ua = random.choice(self.user_agent_list) print(\'User-Agent:\' + ua) request.headers.setdefault(\'User-Agent\', ua) #也在middlewares 件中添加类 class NovelProxyMiddleWare(object): #随即IP def process_request(self, request, spider): proxy = self.get_random_proxy() print("Request proxy is {}".format(proxy)) request.meta["proxy"] = "http://" + proxy def get_random_proxy(self): import random with open(\'a.txt\', \'r\', encoding="utf-8") as f:#打开IP的地址,前提这个目录下有#IP.txt txt = f.read() return random.choice(txt.split(\'\\n\'))
然后在seetings里写入
DOWNLOADER_MIDDLEWARES = { \'muouren.middlewares.NovelUserAgentMiddleWare\': 544, #随即user \'muouren.middlewares.NovelProxyMiddleWare\': 543,#随即IP ImagesRename 换成自己的 } CONCURRENT_REQUESTS = 100 CONCURRENT_REQUESTS_PER_DOMAIN = 100 CONCURRENT_REQUESTS_PER_IP = 100 COOKIES_ENABLED = False RETRY_ENABLED = True #打开重试开关 RETRY_TIMES = 3 #重试次数 DOWNLOAD_TIMEOUT = 10 #超时 RETRY_HTTP_CODES = [429,404,403] #重试
还要在同一目录下,放入抓取好的IP a.txt
这样就可以快速抓取1000页的数据,之后的评论需要用到API。
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