You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
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import requests
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import json
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from pprint import pprint
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import csv
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import os
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import glob
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f=open('评论.csv',mode='a',encoding='utf-8',newline='')
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csv_writer=csv.DictWriter(f,fieldnames=[
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'昵称',
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'评论',
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'产品信息',
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])
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csv_writer.writeheader()
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#评论接口
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url = ''
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headers={
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'Referer':'https://detail.tmall.com/',
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'cookie':'',
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'user-agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36 Edg/124.0.0.0'
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}
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response = requests.get(url=url, headers=headers)
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#response_text = response.json()['comments']
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#print(response.text)
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for shuju in response.json()['data']['module']['reviewVOList']:
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dit={
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'昵称':shuju['userNick'],
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'评论':shuju['reviewWordContent'],
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'产品信息':shuju['skuText'],
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}
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csv_writer.writerow(dit)
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def check_for_csv_files(PY1):
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"""
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检查指定目录下是否存在.csv文件。
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:param directory: 要检查的目录路径
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:return: 如果找到.csv文件返回True，否则返回False
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"""
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# 使用glob模块匹配目录下的所有.csv文件
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csv_files = glob.glob(os.path.join(PY1, '*.csv'))
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# 如果找到.csv文件，则csv_files列表不为空，返回True
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return bool(csv_files)
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# 示例：检查当前目录下是否存在.csv文件
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current_dir = os.getcwd()
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if check_for_csv_files(current_dir):
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print("存在.csv文件。")
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import connect
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connect.hello()
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else:
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print("没有找到.csv文件。")
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'''try:
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json_str = response_text.strip()[len('mtopjsonp3('):-1]
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data = json.loads(json_str)
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print(data)
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except json.JSONDecodeError:
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print("JSON 解码失败，请检查响应是否为有效的 JSON 格式。")'''
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