博客

本文的主要目标是

获取微博用户关注列表

以及关注列表中各微博用户的

ID

、

昵称

、

详情链接

、

粉丝数

、

关注数

等关键信息。

实现代码如下所示：

# -*- coding: utf-8 -*-
"""
Created on Thu Aug  3 20:59:53 2017

@author: Administrator
"""

import requests
import json
import time
import random
import pymysql.cursors


def crawlDetailPage(url,page):
    #读取微博网页的JSON信息
    req = requests.get(url)
    jsondata = req.text
    data = json.loads(jsondata)

    #获取每一条页的数据
    content = data['cards']
    #print(content)

    #循环输出每一页的关注者各项信息
    for i in content:
        followingId = i['user']['id']
        followingName = i['user']['screen_name']
        followingUrl = i['user']['profile_url']
        followersCount = i['user']['followers_count']
        followCount = i['user']['follow_count']

        print("---------------------------------")
        print("用户ID为:{}".format(followingId))
        print("用户昵称为:{}".format(followingName))
        print("用户详情链接为:{}".format(followingUrl))
        print("用户粉丝数:{}".format(followersCount))
        print("用户关注数:{}".format(followCount))



        '''
        数据库操作
        '''

        #获取数据库链接
        connection  = pymysql.connect(host = 'localhost',
                                  user = 'root',
                                  password = '123456',
                                  db = 'weibo',
                                  charset = 'utf8mb4')
        try:
            #获取会话指针
            with connection.cursor() as cursor:
                #创建sql语句
                sql = "insert into `following` (`followingId`,`followingName`,`followingUrl`,`followersCount`,`followCount`) values (%s,%s,%s,%s,%s)"

                #执行sql语句
                cursor.execute(sql,(followingId,followingName,followingUrl,followersCount,followCount))

                #提交数据库
                connection.commit()
        finally:
            connection.close()


for i in range(1,11):
    print("正在获取第{}页的关注列表:".format(i))
    #微博用户关注列表JSON链接
    url = "https://m.weibo.cn/api/container/getSecond?containerid=1005052164843961_-_FOLLOWERS&page=" + str(i)
    crawlDetailPage(url,i)
    #设置休眠时间
    t = random.randint(31,33)
    print("休眠时间为:{}s".format(t))
    time.sleep(t)

运行结果如下图所示：

mysql数据库中的数据存储如下图所示：