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听众
最后登录1970-1-1
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需要安装python可以运行该文件,运行文件可以获取抖音视频的【用户名,用户uid,用户ID,粉丝数量,发表时间,视频awemeid,视频url,视频描述,视频时长,点赞数量,收藏数量,评论数量,下载数量,分享数量】,如有问题欢迎留言
如果对你有帮助烦请给个助力,谢谢
[Python] 纯文本查看 复制代码 # 导入自动化模块
import time
from DrissionPage import ChromiumPage
import datetime
import csv
import json
import pandas as pd
from urllib3.filepost import writer
# from openpyxl import writer
# 创建文件对象
f = open('../data.csv', mode='w', encoding='utf-8', newline='')
# 字典写入的方法
csv_writer = csv.DictWriter(f, fieldnames=['昵称', '点赞数', '时间', '评论'])
# 写入表头
csv_writer.writeheader()
# 打开浏览器
driver = ChromiumPage()
# 监听数据包
driver.listen.start('www.douyin.com/aweme/v1/web/search/item', method='GET')
# 访问网址信息
keyword = input('请输入关键词:')
url = f'https://www.douyin.com/search/{keyword}?type=video'
print(url)
# 访问网站
driver.get(url)
def get_time(ctime):
timeArray = time.localtime(ctime)
otherStyleTime = time.strftime("%Y.%m.%d", timeArray)
return str(otherStyleTime)
def save_video_info(video_data):
minutes = video_data['video']['duration'] // 1000 // 60
seconds = video_data['video']['duration'] // 1000 % 60
video_dict = {
'用户名': video_data['author']['nickname'].strip(),
'用户uid': 'a'+ str(video_data['author']['uid']),
'用户ID': video_data['author']['sec_uid'],
'粉丝数量': video_data['author']['follower_count'],
'发表时间': get_time(video_data['create_time']),
'视频awemeid': 'a'+ video_data['aweme_id'],
'视频url': 'https://www.douyin.com/video/' + str(video_data['aweme_id']),
'视频描述': video_data['desc'].strip().replace('\n', ''),
'视频时长': "{:02d}:{:02d}".format(minutes, seconds),
'点赞数量': video_data['statistics']['digg_count'],
'收藏数量': video_data['statistics']['collect_count'],
'评论数量': video_data['statistics']['comment_count'],
'下载数量': video_data['statistics']['download_count'],
'分享数量': video_data['statistics']['share_count'],
}
print(
f"用户名: {video_dict['用户名']}\n",
f"用户uid: {video_dict['用户uid']}\n",
f"用户ID: {video_dict['用户ID']}\n",
f"粉丝数量: {video_dict['粉丝数量']}\n",
f"发表时间: {video_dict['发表时间']}\n",
f"视频awemeid: {video_dict['视频awemeid']}\n",
f"视频url: {video_dict['视频url']}\n",
f"视频描述: {video_dict['视频描述']}\n",
f"视频时长: {video_dict['视频时长']}\n",
f"点赞数量: {video_dict['点赞数量']}\n",
f"收藏数量: {video_dict['收藏数量']}\n",
f"评论数量: {video_dict['评论数量']}\n",
f"下载数量: {video_dict['下载数量']}\n",
f"分享数量: {video_dict['分享数量']}\n"
)
return video_dict
data_list1 = []
for page in range(100):
print(f'正在采集第{page+1}页的数据内容')
# 下滑页面到底部
driver.scroll.to_bottom()
# 等待数据包加载
resp = driver.listen.wait()
# 直接获取数据包返回的响应数据
json_data = resp.response.body
# print(json_data)
# print(json.dumps(json_data, ensure_ascii=False))
time.sleep(2)
print(json_data['has_more'])
data_list2 = []
for json_aweme_info in json_data['data']:
data = save_video_info(json_aweme_info['aweme_info'])
data_list2.append(data)
if json_data['has_more'] == 0:
break
# f = open(f'{keyword}.csv', 'a', encoding='utf-8-sig', newline="")
# writer = csv.DictWriter(f, header)
# writer.writeheader()
data_list1.extend(data_list2)
print(data_list1)
# 向csv文件写入表头,评论数据csv文件
header = ['用户名',
'用户uid',
'用户ID',
'粉丝数量',
'发表时间',
'视频awemeid',
'视频url',
'视频描述',
'视频时长',
'点赞数量',
'收藏数量',
'评论数量',
'下载数量',
'分享数量']
today_indx = datetime.date.today()
df = pd.DataFrame(data=data_list1, columns=header )
# print(df)
df.to_excel(f'{keyword}-{today_indx}.xlsx',index=False)
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