YYL469
124 lines
4.3 KiB
Python
124 lines
4.3 KiB
Python
import time
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import requests
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import csv
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import os
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from datetime import datetime
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def init():
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if not os.path.exists('./articleData.csv'):
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with open('./articleData.csv','w',encoding='utf-8',newline='') as csvFile:
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writer = csv.writer(csvFile)
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writer.writerow([
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'id',
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'likeNum',
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'commentsLen',
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'reposts_count',
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'region',
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'content',
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'contentLen',
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'created_at',
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'type',
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'detailUrl',# followBtnCode>uid + mblogid
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'authorAvatar',
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'authorName',
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'authorDetail',
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'isVip' # v_plus
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])
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def writerRow(row):
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with open('./articleData.csv', 'a', encoding='utf-8', newline='') as csvFile:
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writer = csv.writer(csvFile)
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writer.writerow(row)
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def get_data(url,params):
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headers = {
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'Cookie':'SINAGLOBAL=2555941826014.1074.1676801766625; ULV=1719829459275:6:1:2:4660996305989.918.1719827559898:1719743122299; UOR=,,www.baidu.com; XSRF-TOKEN=VtLXviYSIs8lor7sz4iGyigL; SUB=_2A25LhvU9DeRhGeFH6FIX-S3MyD2IHXVo-gj1rDV8PUJbkNAGLRXMkW1Ne2nhI3Gle25QJK0Z99J3trq_NZn6YKJ-; SUBP=0033WrSXqPxfM725Ws9jqgMF55529P9D9WW3Mv8V5EupQbbKh.vaZIwU5JpX5KzhUgL.FoM4e05c1Ke7e022dJLoIp7LxKML1KBLBKnLxKqL1hnLBoM41hz41hqReKqN; WBPSESS=Dt2hbAUaXfkVprjyrAZT_LRaDLsnxG-kIbeYwnBb5OUKZiwfVr_UrcYfWuqG-4ZVDM5HeU3HXkDNK_thfRfdS9Ao6ezT30jDksv-CpaVmlTAqGUHjJ7PYkH5aCK4HLxmRq14ZalmQNwzfWMPa4y0VNRLuYdg7L1s49ymNq_5v5vusoz0r4ki6u-MHGraF0fbUTgX14x0kHayEwOoxfLI-w==; SCF=AqmJWo31oFV5itnRgWNU1-wHQTL6PmkBLf3gDuqpdqAIfaWguDTMre6Oxjf5Uzs74JAh2r0DdV1sJ1g6m-wJ5NQ.; _s_tentry=-; Apache=4660996305989.918.1719827559898; PC_TOKEN=7955a7ab1f; appkey=; geetest_token=602cd4e3a7ed1898808f8adfe1a2048b; ALF=1722421868',
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'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
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}
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response = requests.get(url,headers=headers,params=params)
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if response.status_code == 200:
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return response.json()['statuses']
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else:
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return None
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def getAllTypeList():
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typeList = []
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with open('./navData.csv','r',encoding='utf-8') as reader:
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readerCsv = csv.reader(reader)
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next(reader)
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for nav in readerCsv:
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typeList.append(nav)
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return typeList
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def parse_json(response,type):
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for artice in response:
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id = artice['id']
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likeNum = artice['attitudes_count']
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commentsLen = artice['comments_count']
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reposts_count = artice['reposts_count']
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try:
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region = artice['region_name'].replace('发布于 ', '')
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except:
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region = '无'
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content = artice['text_raw']
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contentLen = artice['textLength']
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created_at = datetime.strptime(artice['created_at'],'%a %b %d %H:%M:%S %z %Y').strftime('%Y-%m-%d')
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type = type
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try:
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detailUrl = 'https://weibo.com/' + str(artice['id']) + '/' + str(artice['mblogid'])
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except:
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detailUrl = '无'
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authorAvatar = artice['user']['avatar_large']
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authorName = artice['user']['screen_name']
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authorDetail = 'https://weibo.com/u/' + str(artice['user']['id'])
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isVip = artice['user']['v_plus']
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writerRow([
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id,
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likeNum,
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commentsLen,
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reposts_count,
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region,
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content,
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contentLen,
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created_at,
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type,
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detailUrl,
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authorAvatar,
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authorName,
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authorDetail,
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isVip
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])
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def start(typeNum=1,pageNum=1):
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articleUrl = 'https://weibo.com/ajax/feed/hottimeline'
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init()
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typeList = getAllTypeList()
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typeNumCount = 0
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for type in typeList:
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if typeNumCount > typeNum:return
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time.sleep(2)
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for page in range(0,pageNum):
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print('正在爬取的类型：%s 中的第%s页文章数据' % (type[0],page + 1))
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time.sleep(1)
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parmas = {
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'group_id':type[1],
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'containerid':type[2],
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'max_id':page,
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'count':10,
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'extparam':'discover|new_feed'
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}
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response = get_data(articleUrl,parmas)
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parse_json(response,type[0])
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typeNumCount += 1
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if __name__ == '__main__':
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start()
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