用scrapy框架爬取微博所有人的微博內容的

import scrapy
import json
import re
import datetime
import time
from w3lib.html import remove_tags
import math
from my_project.items import WeiboItem
class WeiboSpider(scrapy.Spider):
name = ‘weibo’
allowed_domains = [‘weibo.cn’]
start_urls = [‘https://m.weibo.cn/api/container/getIndex?type=uid&value=1793285524&containerid=1076031793285524‘]

def parse(self, response):
    res_dict = json.loads(response.text)
    # print(res_dict)
    #循環所有微博內容並獲取
    for data in  res_dict['data']['cards']:
        try:
            name = data['mblog']['user']['screen_name']
            print(name)
            time = data['mblog']['created_at']
            #判斷時間使其輸出格式統一
            if '小時' in time:
                print(time)
                res_time = re.match('\d+', time)
                ISOTIMEFORMAT = '%Y-%m-%d %X'
                time_now = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
                res_hour = re.search(r'\s(\d+):', time_now)

                res = int(res_time[0]) - int(res_hour[1])


                if res > 0:
                    now = datetime.datetime.now()
                    time = (now + datetime.timedelta(days=-1)).strftime("%Y-%m-%d")
                else:
                    time = datetime.datetime.now().strftime("%Y-%m-%d")


            print(time)
            content = data['mblog']['text']
            # content = remove_tags(content)
            print(content)
            passnum = data['mblog']['reposts_count']
            print(passnum)
            comments_count = data['mblog']['comments_count']
            print(comments_count)
            attitudes_count = data['mblog']['attitudes_count']
            print(attitudes_count)
            uid = data['mblog']['user']['id']
            #print(uid)
            item = WeiboItem()
            item['name'] = name
            item['time'] = time
            item['content'] = content
            item['passnum'] = passnum
            item['comments_count'] = comments_count
            item['attitudes_count'] = attitudes_count
            yield item

        except Exception as e:
            print(e)
    try:
        #獲取其微博的總數
        count_num = res_dict['data']['cardlistInfo']['total']
        # print(count_num)
        #判斷分了多少頁
        res_num = math.ceil(count_num/10)
    except Exception as e:
        print(e)

    # print(res_num)
    #獲取其全部微博
    for i in range(1,res_num+1):
        page_url = 'https://m.weibo.cn/api/container/getIndex?type=uid&value='+str(uid)+'&containerid=107603'+str(uid)+'&page='+str(i)+''
        yield scrapy.Request(url=page_url,callback=self.parse)
    #找到他的關注的人的ajax請求，並攜帶自身id傳給下個函數
    uid_url = 'https://m.weibo.cn/api/container/getIndex?containerid=231051_-_followers_-_'+str(uid)+'_-_1042015:tagCategory_050&luicode=10000011&lfid=107603'+str(uid)+'&type=uid&value='+str(uid)+''
    #print(uid)
    yield scrapy.Request(url=uid_url,callback=self.parse_info,meta={'gid':uid})
    # 'https://m.weibo.cn/api/container/getIndex?containerid=231051_-_followers_-_1878546883_-_1042015%253AtagCategory_012&luicode=10000011&lfid=1076031878546883&type=uid&value=1878546883&page=2'


def parse_info(self,response):
    res_dict = json.loads(response.text)
    #獲取他的所有關注的人
    try:
        res_num = res_dict['data']['cardlistInfo']['total']
        res_num = math.ceil(res_num/20)
    except:
        #若果找不到這個值，就付給一個固定頁數，通過一個人找其他的人，所以不需要很多的人
        res_num = 5
    #這個是由上個函數攜帶多來的
    uid = response.meta['gid']
    print(uid)
    #獲取他關注的人的每頁的內容
    for i in range(2,res_num+1):
        bs_url = 'https://m.weibo.cn/api/container/getIndex?containerid=231051_-_followers_-_'+str(uid)+'_-_1042015:tagCategory_050&luicode=10000011&lfid=107603'+str(uid)+'&type=uid&value='+str(uid)+'&page='+str(i)+''
        #print('我來到了關豬的所有人的地方')
        yield scrapy.Request(url=bs_url,callback=self.parse_info,meta={'gid':uid})
    # 獲取其他人的id
    try:
        res_mmp = res_dict['data']['cards'][3]['card_group']
    except:
        res_mmp = res_dict['data']['cards'][0]['card_group']


    for data in res_mmp:
        #print('我來到了其他人的主頁')
        #print(data)
        try:
            uid = data['buttons'][0]['actionlog']['oid']
        except Exception as e:
            print(e)
        #print(str(uid)+'------------')
        #獲取到其他人的id並返回給上個函數
        uid_url = 'https://m.weibo.cn/api/container/getIndex?type=uid&value='+str(uid)+'&containerid=107603'+str(uid)+''
        yield scrapy.Request(url=uid_url,callback=self.parse)