【spiderComments.py】实现文章评论爬取

+import time
+import requests
+import csv
+import os
+from datetime import datetime
+
+def init():
+    if not os.path.exists('./articleComments.csv'):
+        with open('./articleComments.csv','w',encoding='utf-8',newline='') as csvFile:
+            writer = csv.writer(csvFile)
+            writer.writerow([
+                'articleId',
+                'created_at',
+                'likes_counts',
+                'region',
+                'content',
+                'authorName',
+                'authorGender',
+                'authorAddress',
+                'authorAvatar'
+            ])
+
+def writerRow(row):
+    with open('./articleComments.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()['data']
+    else:
+        return None
+
+def getAllArticleList():
+    artileList = []
+    with open('./articleData.csv','r',encoding='utf-8') as reader:
+        readerCsv = csv.reader(reader)
+        next(reader)
+        for nav in readerCsv:
+            artileList.append(nav)
+    return artileList
+
+def parse_json(response,artileId):
+    for comment in response:
+        created_at = datetime.strptime(comment['created_at'],'%a %b %d %H:%M:%S %z %Y').strftime('%Y-%m-%d')
+        likes_counts = comment['like_counts']
+        try:
+            region = comment['source'].replace('来自', '')
+        except:
+            region = '无'
+        content = comment['text_raw']
+        authorName = comment['user']['screen_name']
+        authorGender = comment['user']['gender']
+        authorAddress = comment['user']['location']
+        authorAvatar = comment['user']['avatar_large']
+        writerRow([
+            artileId,
+            created_at,
+            likes_counts,
+            region,
+            content,
+            authorName,
+            authorGender,
+            authorAddress,
+            authorAvatar
+        ])
+
+def start():
+    commentUrl = 'https://weibo.com/ajax/statuses/buildComments'
+    init()
+    articleList = getAllArticleList()
+    for article in articleList:
+        articleId = article[0]
+        print('正在爬取id值为%s的文章评论' % articleId)
+        time.sleep(2)
+        params = {
+            'id':int(articleId),
+            'is_show_bulletin':2
+        }
+        response = get_data(commentUrl,params)
+        parse_json(response,articleId)
+
+
+
+if __name__ == '__main__':
+    start()
+
+
+
+
+
+
+
+