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#!/usr/bin/env python
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# encoding: utf-8
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import re
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from lxml import etree
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from scrapy import Spider
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from scrapy.crawler import CrawlerProcess
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from scrapy.selector import Selector
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from scrapy.http import Request
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from scrapy.utils.project import get_project_settings
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from bot.items import TweetsItem, InformationItem, RelationshipsItem, CommentItem
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from bot.spiders.utils import time_fix
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from datetime import datetime
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class WeiboSpider(Spider):
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name = "weibo_spider"
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base_url = "https://weibo.cn"
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def start_requests(self):
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import pymysql.cursors
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# 连接数据库
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connect = pymysql.connect(
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host='localhost', # 数据库地址
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port=3306, # 数据库端口
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db='WeiboAnalysisSystem', # 数据库名
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user='root', # 数据库用户名
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passwd='1234', # 数据库密码
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charset='utf8mb4', # 编码方式
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use_unicode=True)
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# 通过cursor执行增删查改
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cursor = connect.cursor()
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cursor.execute("""SELECT uid from scrapydapi_target WHERE isScrapy=0""")
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uids = cursor.fetchall()
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start_uids = uids
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print('uid:::',uids)
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for uid in start_uids:
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cursor.execute("""UPDATE scrapydapi_target set isScrapy=1 WHERE uid=%s""" % uid)
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cursor.execute("commit")
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yield Request(url="https://weibo.cn/%s/info" % uid, callback=self.parse_information)
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connect.close()
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cursor.close()
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def parse_information(self, response):
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""" 抓取个人信息 """
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information_item = InformationItem()
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information_item['crawl_time'] = datetime.now()
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selector = Selector(response)
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information_item['_id'] = re.findall('(\d+)/info', response.url)[0]
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image = selector.xpath('body/div[@class="c"]//img/@src').extract()
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text1 = ";".join(selector.xpath('body/div[@class="c"]//text()').extract()) # 获取标签里的所有text()
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nick_name = re.findall('昵称;?[：:]?(.*?);', text1)
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gender = re.findall('性别;?[：:]?(.*?);', text1)
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place = re.findall('地区;?[：:]?(.*?);', text1)
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briefIntroduction = re.findall('简介;?[：:]?(.*?);', text1)
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birthday = re.findall('生日;?[：:]?(.*?);', text1)
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sex_orientation = re.findall('性取向;?[：:]?(.*?);', text1)
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sentiment = re.findall('感情状况;?[：:]?(.*?);', text1)
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vip_level = re.findall('会员等级;?[：:]?(.*?);', text1)
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authentication = re.findall('认证;?[：:]?(.*?);', text1)
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labels = re.findall('标签;?[：:]?(.*?)更多>>', text1)
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if image and image[0]:
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information_item["Image"] = image[0]
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if nick_name and nick_name[0]:
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information_item["nick_name"] = nick_name[0].replace(u"\xa0", "")
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if gender and gender[0]:
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information_item["gender"] = gender[0].replace(u"\xa0", "")
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if place and place[0]:
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place = place[0].replace(u"\xa0", "").split(" ")
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information_item["province"] = place[0]
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if len(place) > 1:
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information_item["city"] = place[1]
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if briefIntroduction and briefIntroduction[0]:
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information_item["brief_introduction"] = briefIntroduction[0].replace(u"\xa0", "")
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if birthday and birthday[0]:
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try:
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birthday = datetime.datetime.strptime(birthday[0], "%Y-%m-%d")
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information_item['birthday'] = birthday - datetime.timedelta(hours=8)
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except Exception:
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information_item['constellation'] = birthday[0] # 有可能是星座，而非时间
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if sex_orientation and sex_orientation[0]:
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if sex_orientation[0].replace(u"\xa0", "") == gender[0]:
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information_item["sex_orientation"] = "同性恋"
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else:
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information_item["sex_orientation"] = "异性恋"
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if sentiment and sentiment[0]:
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information_item["sentiment"] = sentiment[0].replace(u"\xa0", "")
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if vip_level and vip_level[0]:
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information_item["vip_level"] = vip_level[0].replace(u"\xa0", "")
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if authentication and authentication[0]:
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information_item["authentication"] = authentication[0].replace(u"\xa0", "")
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if labels and labels[0]:
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information_item["labels"] = labels[0].replace(u"\xa0", ",").replace(';', '').strip(',')
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request_meta = response.meta
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request_meta['item'] = information_item
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yield Request(self.base_url + '/u/{}'.format(information_item['_id']),
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callback=self.parse_further_information,
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meta=request_meta, dont_filter=True, priority=1)
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def parse_further_information(self, response):
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text = response.text
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information_item = response.meta['item']
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tweets_num = re.findall('微博\[(\d+)\]', text)
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if tweets_num:
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information_item['tweets_num'] = int(tweets_num[0])
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follows_num = re.findall('关注\[(\d+)\]', text)
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if follows_num:
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information_item['follows_num'] = int(follows_num[0])
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fans_num = re.findall('粉丝\[(\d+)\]', text)
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if fans_num:
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information_item['fans_num'] = int(fans_num[0])
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yield information_item
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# 获取该用户微博
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yield Request(url=self.base_url + '/{}/profile?page=1'.format(information_item['_id']),
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callback=self.parse_tweet,
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priority=1)
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# # 获取关注列表
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# yield Request(url=self.base_url + '/{}/follow?page=1'.format(information_item['_id']),
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# callback=self.parse_follow,
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# dont_filter=True)
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# # 获取粉丝列表
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# yield Request(url=self.base_url + '/{}/fans?page=1'.format(information_item['_id']),
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# callback=self.parse_fans,
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# dont_filter=True)
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def parse_tweet(self, response):
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if response.url.endswith('page=1'):
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# 如果是第1页，一次性获取后面的所有页
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all_page = re.search(r'/> 1/(\d+)页</div>', response.text)
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if all_page:
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all_page = all_page.group(1)
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all_page = int(all_page)
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for page_num in range(2, all_page + 1):
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page_url = response.url.replace('page=1', 'page={}'.format(page_num))
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yield Request(page_url, self.parse_tweet, dont_filter=True, meta=response.meta)
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"""
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解析本页的数据
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"""
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tree_node = etree.HTML(response.body)
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tweet_nodes = tree_node.xpath('//div[@class="c" and @id]')
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for tweet_node in tweet_nodes:
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try:
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tweet_item = TweetsItem()
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tweet_item['crawl_time'] = datetime.now()
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tweet_repost_url = tweet_node.xpath('.//a[contains(text(),"转发[")]/@href')[0]
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user_tweet_id = re.search(r'/repost/(.*?)\?uid=(\d+)', tweet_repost_url)
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tweet_item['weibo_url'] = 'https://weibo.com/{}/{}'.format(user_tweet_id.group(2),
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user_tweet_id.group(1))
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tweet_item['user_id'] = user_tweet_id.group(2)
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tweet_item['_id'] = '{}_{}'.format(user_tweet_id.group(2), user_tweet_id.group(1))
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create_time_info = tweet_node.xpath('.//span[@class="ct"]/text()')[-1]
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if "来自" in create_time_info:
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tweet_item['created_at'] = time_fix(create_time_info.split('来自')[0].strip())
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else:
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tweet_item['created_at'] = time_fix(create_time_info.strip())
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like_num = tweet_node.xpath('.//a[contains(text(),"赞[")]/text()')[-1]
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tweet_item['like_num'] = int(re.search('\d+', like_num).group())
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repost_num = tweet_node.xpath('.//a[contains(text(),"转发[")]/text()')[-1]
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tweet_item['repost_num'] = int(re.search('\d+', repost_num).group())
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comment_num = tweet_node.xpath(
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'.//a[contains(text(),"评论[") and not(contains(text(),"原文"))]/text()')[-1]
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tweet_item['comment_num'] = int(re.search('\d+', comment_num).group())
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tweet_content_node = tweet_node.xpath('.//span[@class="ctt"]')[0]
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# 检测由没有阅读全文:
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all_content_link = tweet_content_node.xpath('.//a[text()="全文"]')
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if all_content_link:
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all_content_url = self.base_url + all_content_link[0].xpath('./@href')[0]
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yield Request(all_content_url, callback=self.parse_all_content, meta={'item': tweet_item},
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priority=1)
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else:
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all_content = tweet_content_node.xpath('string(.)').replace('\u200b', '').strip()
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tweet_item['content'] = all_content[1:]
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yield tweet_item
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# 抓取该微博的评论信息
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# comment_url = self.base_url + '/comment/' + tweet_item['weibo_url'].split('/')[-1] + '?page=1'
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# yield Request(url=comment_url, callback=self.parse_comment, meta={'weibo_url': tweet_item['weibo_url']})
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except Exception as e:
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self.logger.error(e)
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def parse_all_content(self, response):
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# 有阅读全文的情况，获取全文
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tree_node = etree.HTML(response.body)
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tweet_item = response.meta['item']
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content_node = tree_node.xpath('//div[@id="M_"]//span[@class="ctt"]')[0]
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all_content = content_node.xpath('string(.)').replace('\u200b', '').strip()
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tweet_item['content'] = all_content[1:]
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yield tweet_item
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def parse_follow(self, response):
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"""
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抓取关注列表
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"""
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# 如果是第1页，一次性获取后面的所有页
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if response.url.endswith('page=1'):
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all_page = re.search(r'/> 1/(\d+)页</div>', response.text)
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if all_page:
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all_page = all_page.group(1)
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all_page = int(all_page)
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for page_num in range(2, all_page + 1):
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page_url = response.url.replace('page=1', 'page={}'.format(page_num))
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yield Request(page_url, self.parse_follow, dont_filter=True, meta=response.meta)
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selector = Selector(response)
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urls = selector.xpath('//a[text()="关注他" or text()="关注她" or text()="取消关注"]/@href').extract()
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uids = re.findall('uid=(\d+)', ";".join(urls), re.S)
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ID = re.findall('(\d+)/follow', response.url)[0]
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for uid in uids:
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relationships_item = RelationshipsItem()
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relationships_item['crawl_time'] = datetime.now()
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relationships_item["fan_id"] = ID
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relationships_item["followed_id"] = uid
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relationships_item["_id"] = ID + '-' + uid
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yield relationships_item
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def parse_fans(self, response):
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"""
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抓取粉丝列表
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"""
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# 如果是第1页，一次性获取后面的所有页
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if response.url.endswith('page=1'):
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all_page = re.search(r'/> 1/(\d+)页</div>', response.text)
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if all_page:
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all_page = all_page.group(1)
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all_page = int(all_page)
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for page_num in range(2, all_page + 1):
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page_url = response.url.replace('page=1', 'page={}'.format(page_num))
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yield Request(page_url, self.parse_fans, dont_filter=True, meta=response.meta)
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selector = Selector(response)
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urls = selector.xpath('//a[text()="关注他" or text()="关注她" or text()="移除"]/@href').extract()
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uids = re.findall('uid=(\d+)', ";".join(urls), re.S)
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ID = re.findall('(\d+)/fans', response.url)[0]
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for uid in uids:
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relationships_item = RelationshipsItem()
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relationships_item['crawl_time'] = datetime.now()
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relationships_item["fan_id"] = uid
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relationships_item["followed_id"] = ID
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relationships_item["_id"] = uid + '-' + ID
|
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yield relationships_item
|
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|
def parse_comment(self, response):
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|
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|
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# 如果是第1页，一次性获取后面的所有页
|
|
|
|
|
|
if response.url.endswith('page=1'):
|
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|
|
|
|
all_page = re.search(r'/> 1/(\d+)页</div>', response.text)
|
|
|
|
|
|
if all_page:
|
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|
|
|
|
all_page = all_page.group(1)
|
|
|
|
|
|
all_page = int(all_page)
|
|
|
|
|
|
for page_num in range(2, all_page + 1):
|
|
|
|
|
|
page_url = response.url.replace('page=1', 'page={}'.format(page_num))
|
|
|
|
|
|
yield Request(page_url, self.parse_comment, dont_filter=True, meta=response.meta)
|
|
|
|
|
|
selector = Selector(response)
|
|
|
|
|
|
comment_nodes = selector.xpath('//div[@class="c" and contains(@id,"C_")]')
|
|
|
|
|
|
for comment_node in comment_nodes:
|
|
|
|
|
|
comment_user_url = comment_node.xpath('.//a[contains(@href,"/u/")]/@href').extract_first()
|
|
|
|
|
|
if not comment_user_url:
|
|
|
|
|
|
continue
|
|
|
|
|
|
comment_item = CommentItem()
|
|
|
|
|
|
comment_item['crawl_time'] = datetime.now()
|
|
|
|
|
|
comment_item['weibo_url'] = response.meta['weibo_url']
|
|
|
|
|
|
comment_item['comment_user_id'] = re.search(r'/u/(\d+)', comment_user_url).group(1)
|
|
|
|
|
|
comment_item['content'] = comment_node.xpath('.//span[@class="ctt"]').xpath('string(.)').extract_first()
|
|
|
|
|
|
comment_item['_id'] = comment_node.xpath('./@id').extract_first()
|
|
|
|
|
|
created_at = comment_node.xpath('.//span[@class="ct"]/text()').extract_first()
|
|
|
|
|
|
comment_item['created_at'] = time_fix(created_at.split('\xa0')[0])
|
|
|
|
|
|
yield comment_item
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
if __name__ == "__main__":
|
|
|
|
|
|
process = CrawlerProcess(get_project_settings())
|
|
|
|
|
|
process.crawl('weibo_spider')
|
|
|
|
|
|
process.start()
|
