• 分布式爬虫 redis + mongodb +scrapy


    zhihuspider.py
    
    # -*- coding: utf-8 -*-
    import json
    
    import scrapy
    from scrapy import Request
    
    from zhihuuser.items import ZhihuuserItem
    
    
    class ZhihuspiderSpider(scrapy.Spider):
        name = 'zh'
    
        # url='https://www.zhihu.com/api/v4/members/letitiachow?include=allow_message%2Cis_followed%2Cis_following%2Cis_org%2Cis_blocking%2Cemployments%2Canswer_count%2Cfollower_count%2Carticles_count%2Cgender%2Cbadge%5B%3F(type%3Dbest_answerer)%5D.topics'
        allowed_domains = ["www.zhihu.com"]
        start_user = 'excited-vczh'
        user_url = 'https://www.zhihu.com/api/v4/members/{user}?include={include}'
        user_query='allow_message,is_followed,is_following,is_org,is_blocking,employments,answer_count,follower_count,articles_count,gender,badge[?(type=best_answerer)].topics'
        # follows_url='https://www.zhihu.com/api/v4/members/excited-vczh/followees?include='
        follows_url = 'https://www.zhihu.com/api/v4/members/{user}/followees?include={include}&offset={offset}&limit={limit}'
        follows_query = 'data[*].answer_count,articles_count,gender,follower_count,is_followed,is_following,badge[?(type=best_answerer)].topics'
       #粉丝列表
        followers_url = 'https://www.zhihu.com/api/v4/members/{user}/followers?include={include}&offset={offset}&limit={limit}'
        followers_query = 'data[*].answer_count,articles_count,gender,follower_count,is_followed,is_following,badge[?(type=best_answerer)].topics'
    
        def start_requests(self):
            yield Request(self.user_url.format(user=self.start_user, include=self.user_query), self.parse_user)
            #自己本身信息
            yield Request(self.follows_url.format(user=self.start_user, include=self.follows_query, limit=20, offset=0),
                          self.parse_follows)
            #粉丝列表
            yield Request(self.followers_url.format(user=self.start_user, include=self.followers_query, limit=20, offset=0),
                          self.parse_followers)
        def parse_user(self, response):
            '''
            解析
            :param response:
            :return:
            '''
            # print(response.text)
            result = json.loads(response.text)
            item = ZhihuuserItem()
    
            for field in item.fields:
                if field in result.keys():#键名其中之一
                    item[field] = result.get(field)#就返回item
            yield item
    
            yield Request(
                self.follows_url.format(user=result.get('url_token'), include=self.follows_query, limit=20, offset=0),
                self.parse_follows)
    
            yield Request(
                self.followers_url.format(user=result.get('url_token'), include=self.followers_query, limit=20, offset=0),
                self.parse_followers)
        def parse_follows(self, response):
            # print(response.text)
            results = json.loads(response.text)
        #判断分页是否结束
            if 'data' in results.keys():
                for result in results.get('data'):
                    yield Request(self.user_url.format(user=result.get('url_token'), include=self.user_query),
                                  self.parse_user)
    
            if 'paging' in results.keys() and results.get('paging').get('is_end') == False:
                next_page = results.get('paging').get('next')
                yield Request(next_page,
                              self.parse_follows)
    
        def parse_followers(self, response):
            results = json.loads(response.text)
    
            if 'data' in results.keys():
                for result in results.get('data'):
                    yield Request(self.user_url.format(user=result.get('url_token'), include=self.user_query),
                                  self.parse_user)
    
            if 'paging' in results.keys() and results.get('paging').get('is_end') == False:
                next_page = results.get('paging').get('next')
                yield Request(next_page,
                              self.parse_followers)
    items.py
    
    # -*- coding: utf-8 -*-
    
    # Define here the models for your scraped items
    #
    # See documentation in:
    # https://doc.scrapy.org/en/latest/topics/items.html
    
    import scrapy
    from scrapy import Field
    
    
    class ZhihuuserItem(scrapy.Item):
        # define the fields for your item here like:
        # name = scrapy.Field()
        id = Field()
        name = Field()
        avatar_url = Field()
        headline = Field()
        description = Field()
        url = Field()
        url_token = Field()
        gender = Field()
        cover_url = Field()
        type = Field()
        badge = Field()
    
        answer_count = Field()
        articles_count = Field()
        commercial_question_count = Field()
        favorite_count = Field()
        favorited_count = Field()
        follower_count = Field()
        following_columns_count = Field()
        following_count = Field()
        pins_count = Field()
        question_count = Field()
        thank_from_count = Field()
        thank_to_count = Field()
        thanked_count = Field()
        vote_from_count = Field()
        vote_to_count = Field()
        voteup_count = Field()
        following_favlists_count = Field()
        following_question_count = Field()
        following_topic_count = Field()
        marked_answers_count = Field()
        mutual_followees_count = Field()
        hosted_live_count = Field()
        participated_live_count = Field()
    
        locations = Field()
        educations = Field()
        employments = Field()
    pipeline.py
    
    class MongoPipeline(object):
    
        def __init__(self, mongo_uri, mongo_db):
            self.mongo_uri = mongo_uri
            self.mongo_db = mongo_db
    
        @classmethod
        def from_crawler(cls, crawler):
            return cls(
                mongo_uri=crawler.settings.get('MONGO_URI'),
                mongo_db=crawler.settings.get('MONGO_DATABASE')
            )
    
        def open_spider(self, spider):
            self.client = pymongo.MongoClient(self.mongo_uri)
            self.db = self.client[self.mongo_db]
    
        def close_spider(self, spider):
            self.client.close()
    
        def process_item(self, item, spider):
            self.db['user'].update({'url_token':item['url_token']},{'$set':item},True)
            return item
    # -*- coding: utf-8 -*-
    
    # Scrapy settings for zhihuuser project
    #
    # For simplicity, this file contains only settings considered important or
    # commonly used. You can find more settings consulting the documentation:
    #
    #     https://doc.scrapy.org/en/latest/topics/settings.html
    #     https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
    #     https://doc.scrapy.org/en/latest/topics/spider-middleware.html
    
    BOT_NAME = 'zhihuuser'
    
    SPIDER_MODULES = ['zhihuuser.spiders']
    NEWSPIDER_MODULE = 'zhihuuser.spiders'
    
    
    # Crawl responsibly by identifying yourself (and your website) on the user-agent
    #USER_AGENT = 'zhihuuser (+http://www.yourdomain.com)'
    
    # Obey robots.txt rules
    ROBOTSTXT_OBEY = False
    
    # Configure maximum concurrent requests performed by Scrapy (default: 16)
    #CONCURRENT_REQUESTS = 32
    
    # Configure a delay for requests for the same website (default: 0)
    # See https://doc.scrapy.org/en/latest/topics/settings.html#download-delay
    # See also autothrottle settings and docs
    DOWNLOAD_DELAY = 3
    # The download delay setting will honor only one of:
    #CONCURRENT_REQUESTS_PER_DOMAIN = 16
    #CONCURRENT_REQUESTS_PER_IP = 16
    
    # Disable cookies (enabled by default)
    #COOKIES_ENABLED = False
    
    # Disable Telnet Console (enabled by default)
    #TELNETCONSOLE_ENABLED = False
    
    # Override the default request headers:
    DEFAULT_REQUEST_HEADERS = {
      'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
      'Accept-Language': 'en',
    'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_12_6) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/71.0.3578.98 Safari/537.36'
    }
    
    # Enable or disable spider middlewares
    # See https://doc.scrapy.org/en/latest/topics/spider-middleware.html
    #SPIDER_MIDDLEWARES = {
    #    'zhihuuser.middlewares.ZhihuuserSpiderMiddleware': 543,
    #}
    
    # Enable or disable downloader middlewares
    # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html
    #DOWNLOADER_MIDDLEWARES = {
    #    'zhihuuser.middlewares.ZhihuuserDownloaderMiddleware': 543,
    #}
    
    # Enable or disable extensions
    # See https://doc.scrapy.org/en/latest/topics/extensions.html
    #EXTENSIONS = {
    #    'scrapy.extensions.telnet.TelnetConsole': None,
    #}
    
    # Configure item pipelines
    # See https://doc.scrapy.org/en/latest/topics/item-pipeline.html
    ITEM_PIPELINES = {
       'zhihuuser.pipelines.MongoPipeline': 300,
        'scrapy_redis.pipelines.RedisPipeline': 400
    }
    
    # Enable and configure the AutoThrottle extension (disabled by default)
    # See https://doc.scrapy.org/en/latest/topics/autothrottle.html
    #AUTOTHROTTLE_ENABLED = True
    # The initial download delay
    #AUTOTHROTTLE_START_DELAY = 5
    # The maximum download delay to be set in case of high latencies
    #AUTOTHROTTLE_MAX_DELAY = 60
    # The average number of requests Scrapy should be sending in parallel to
    # each remote server
    #AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
    # Enable showing throttling stats for every response received:
    #AUTOTHROTTLE_DEBUG = False
    
    # Enable and configure HTTP caching (disabled by default)
    # See https://doc.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
    #HTTPCACHE_ENABLED = True
    #HTTPCACHE_EXPIRATION_SECS = 0
    #HTTPCACHE_DIR = 'httpcache'
    #HTTPCACHE_IGNORE_HTTP_CODES = []
    #HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
    
    MONGO_URI='localhost'
    MONGO_DATABASE='Zhihu'
    
    SCHEDULER = "scrapy_redis.scheduler.Scheduler"
    DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"
    
    REDIS_URL = 'redis//root:password@ip:port
    # 指定redis数据库的连接参数
    # REDIS_PASS是我自己加上的redis连接密码
    # REDIS_HOST = '127.0.0.1'
    # REDIS_PORT = 6379
    #REDIS_PASS = 'redisP@ssw0rd'
    # LOG等级
    LOG_LEVEL = 'DEBUG'
    
    #默认情况下,RFPDupeFilter只记录第一个重复请求。将DUPEFILTER_DEBUG设置为True会记录所有重复的请求。
    DUPEFILTER_DEBUG =True
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  • 原文地址:https://www.cnblogs.com/liangliangzz/p/10260899.html
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