【spiderContent.py】实现文章内容爬取

+import time
+import requests
+import csv
+import os
+from datetime import datetime
+
+def init():
+    if not os.path.exists('./articleData.csv'):
+        with open('./articleData.csv','w',encoding='utf-8',newline='') as csvFile:
+            writer = csv.writer(csvFile)
+            writer.writerow([
+                'id',
+                'likeNum',
+                'commentsLen',
+                'reposts_count',
+                'region',
+                'content',
+                'contentLen',
+                'created_at',
+                'type',
+                'detailUrl',# followBtnCode>uid + mblogid
+                'authorAvatar',
+                'authorName',
+                'authorDetail',
+                'isVip' # v_plus
+            ])
+
+def writerRow(row):
+    with open('./articleData.csv', 'a', encoding='utf-8', newline='') as csvFile:
+        writer = csv.writer(csvFile)
+        writer.writerow(row)
+
+def get_data(url,params):
+    headers = {
+        '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',
+        'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
+    }
+    response = requests.get(url,headers=headers,params=params)
+    if response.status_code == 200:
+        return response.json()['statuses']
+    else:
+        return None
+
+def getAllTypeList():
+    typeList = []
+    with open('./navData.csv','r',encoding='utf-8') as reader:
+        readerCsv = csv.reader(reader)
+        next(reader)
+        for nav in readerCsv:
+            typeList.append(nav)
+    return typeList
+
+def parse_json(response,type):
+    for artice in response:
+        id = artice['id']
+        likeNum = artice['attitudes_count']
+        commentsLen = artice['comments_count']
+        reposts_count = artice['reposts_count']
+        try:
+            region = artice['region_name'].replace('发布于 ', '')
+        except:
+            region = '无'
+        content = artice['text_raw']
+        contentLen = artice['textLength']
+        created_at = datetime.strptime(artice['created_at'],'%a %b %d %H:%M:%S %z %Y').strftime('%Y-%m-%d')
+        type = type
+        try:
+            detailUrl = 'https://weibo.com/' + str(artice['id']) + '/' + str(artice['mblogid'])
+        except:
+            detailUrl = '无'
+        authorAvatar = artice['user']['avatar_large']
+        authorName = artice['user']['screen_name']
+        authorDetail = 'https://weibo.com/u/' + str(artice['user']['id'])
+        isVip = artice['user']['v_plus']
+        writerRow([
+            id,
+            likeNum,
+            commentsLen,
+            reposts_count,
+            region,
+            content,
+            contentLen,
+            created_at,
+            type,
+            detailUrl,
+            authorAvatar,
+            authorName,
+            authorDetail,
+            isVip
+        ])
+
+def start(typeNum=1,pageNum=1):
+    articleUrl = 'https://weibo.com/ajax/feed/hottimeline'
+    init()
+    typeList = getAllTypeList()
+    typeNumCount = 0
+    for type in typeList:
+        if typeNumCount > typeNum:return
+        time.sleep(2)
+        for page in range(0,pageNum):
+            print('正在爬取的类型：%s 中的第%s页文章数据' % (type[0],page + 1))
+            time.sleep(1)
+            parmas = {
+                'group_id':type[1],
+                'containerid':type[2],
+                'max_id':page,
+                'count':10,
+                'extparam':'discover|new_feed'
+            }
+            response = get_data(articleUrl,parmas)
+            parse_json(response,type[0])
+        typeNumCount += 1
+
+if __name__ == '__main__':
+    start()
+
+
+
+
+
+
+
+