[已解决]requests爬虫

import requests

url = "http://www.example.com"
response = requests.get(url)
cookies = response.cookies

from bs4 import BeautifulSoup

# 假设表单中的csrfmiddlewaretoken放在一个input标签中
soup = BeautifulSoup(response.text, "html.parser")
csrf_token = soup.find("input", {"name": "csrfmiddlewaretoken"})["value"]
# 构建表单数据
data = {
    "csrfmiddlewaretoken": csrf_token,
    "other_field1": "value1",
    "other_field2": "value2",
    # 其他表单字段...
}

response = requests.post(url, data=data, cookies=cookies)

import zipfile

# 指定要解压的zip文件路径
zip_filepath = "path/to/your/zipfile.zip"

# 创建一个ZipFile对象，打开zip文件
with zipfile.ZipFile(zip_filepath, 'r') as zip_ref:
    # 解压所有文件到指定目录
    zip_ref.extractall("path/to/extract/to")

print("解压完成！")

import zipfile

zip_filepath = "path/to/your/zipfile.zip"
extract_file = "file_to_extract.txt"  # 要解压的文件名

with zipfile.ZipFile(zip_filepath, 'r') as zip_ref:
    zip_ref.extract(extract_file, "path/to/extract/to")

print("解压完成！")

import requests
from requests.exceptions import JSONDecodeError

url = "http://example.com/api/data"
try:
    response = requests.get(url)
    response.raise_for_status()  # 检查请求是否成功
    
    data = response.json()
    print(data)
except JSONDecodeError as e:
    print("解析JSON数据错误:", e)
except requests.exceptions.RequestException as err:
    print("请求发生异常:", err)

pip install pydub aeneas

import os
from pydub import AudioSegment
from aeneas.executetask import ExecuteTask
from aeneas.task import Task

# 输入文件名
audio_file_path = "music.mp3"
subtitle_file_path = "subtitles.srt"
output_file_path = "output_with_subtitle.mp4" # 你可以选择其他格式

# 确保ffmpeg在可用路径下
os.environ["PATH"] += os.pathsep + "/path/to/ffmpeg"

# 创建一个aeneas任务，将字幕与音频同步
config_string = "task_language=eng|is_text_type=subtitles|os_task_file_format=aud"
task = Task(config_string=config_string)
task.audio_file_path_absolute = audio_file_path
task.text_file_path_absolute = subtitle_file_path
task.sync_map_file_path_absolute = output_file_path

# 执行同步任务
ExecuteTask(task).run()

# 如果需要，保存合并结果
task.output_sync_map_file()

import requests
url="https://www.101weiqi.com/tools/submitacomment/"
headers={'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:128.0) Gecko/20100101 Firefox/128.0','Cookie':'csrftoken=Y97JB2rksE2zQ9Gb1bNxIGw4AXpHxJFtGdKFCpAADsdVcR0CYiUH0XmgnaMQDcfI; Hm_lvt_13a338d58a330cc6f97cd0c32cf6dd47=1721725341,1721796909; Hm_lpvt_13a338d58a330cc6f97cd0c32cf6dd47=1721796987; HMACCOUNT=E214467AB2F0F0C2; sessionid=gfxv1npu3jy0f7fiqz4vsxgzqi5fjmzt'}
data={
        "aid": "69172",
        "vote": "2",
        "csrfmiddlewaretoken": "ZkX9TwgRvg4Uz2FyCNNptR8pSDYvYfnvHoA5UTp7G4fgVKZZzUUzL8YBFQlE4IXK"
}
print(requests.post(url,data=data,headers=headers))

import requests
from bs4 import BeautifulSoup

# 首先发起GET请求以获取CSRF token
get_response = requests.get(url, headers=headers)
soup = BeautifulSoup(get_response.text, "html.parser")
csrf_token = soup.find("input", {"name": "csrfmiddlewaretoken"})["value"]

# 然后构建数据字典
data = {
    "aid": "69172",
    "vote": "2",
    "csrfmiddlewaretoken": csrf_token
}

# 进行POST请求
post_response = requests.post(url, data=data, headers=headers)
print(post_response.text)  # 打印返回的内容以便调试

print(post_response.status_code)  # 200表示请求成功

get_response = requests.get(url, headers=headers)
   print(get_response.text)  # 打印页面内容以查找token

soup = BeautifulSoup(get_response.text, "html.parser")
   csrf_token_element = soup.find("input", {"name": "csrfmiddlewaretoken"})
   
   if csrf_token_element is not None:
       csrf_token = csrf_token_element['value']  # 从 input 标签获取 value
   else:
       print("未能获取 CSRF token，请检查页面结构。")
       exit()  # 退出程序，因为未获取到有效的token

import requests
   from bs4 import BeautifulSoup

   url = "https://www.101weiqi.com/tools/submitacomment/"
   headers = {
       'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:128.0) Gecko/20100101 Firefox/128.0',
       'Cookie': 'csrftoken=Y97JB2rksE2zQ9Gb1bNxIGw4AXpHxJFtGdKFCpAADsdVcR0CYiUH0XmgnaMQDcfI; Hm_lvt_13a338d58a330cc6f97cd0c32cf6dd47=1721725341,1721796909; Hm_lpvt_13a338d58a330cc6f97cd0c32cf6dd47=1721796987; HMACCOUNT=E214467AB2F0F0C2; sessionid=gfxv1npu3jy0f7fiqz4vsxgzqi5fjmzt'
   }

   # 获取CSRF token
   get_response = requests.get(url, headers=headers)
   soup = BeautifulSoup(get_response.text, "html.parser")
   csrf_token_element = soup.find("input", {"name": "csrfmiddlewaretoken"})

   if csrf_token_element is not None:
       csrf_token = csrf_token_element['value']
   else:
       print("未能获取 CSRF token，请检查页面结构。")
       exit()

   # 构建数据字典
   data = {
       "aid": "69172",
       "vote": "2",
       "csrfmiddlewaretoken": csrf_token
   }

   # 进行POST请求
   post_response = requests.post(url, data=data, headers=headers)
   print(post_response.status_code)  # 打印状态码
   print(post_response.text)  # 打印返回内容以便调试

pip install pypinyin

from pypinyin import pinyin, lazy_pinyin, Style

# 输入汉字
text = "汉字转拼音"

# 使用 lazy_pinyin 直接获取拼音
pinyin_list = lazy_pinyin(text)
print("拼音:", pinyin_list)

# 更加详细的示例，获取带声调的拼音
detailed_pinyin = pinyin(text, style=Style.TONE3)  # 带声调的拼音
print("带声调的拼音:", detailed_pinyin)

# 如果需要拼音和汉字的结合
combined = [(char, p) for char, p in zip(text, lazy_pinyin(text))]
print("汉字与拼音结合:", combined)

拼音: ['han', 'zi', 'zhuan', 'pin', 'yin']
带声调的拼音: [['hàn'], ['zì'], ['zhuǎn'], ['pīn'], ['yīn']]
汉字与拼音结合: [('汉', 'han'), ('字', 'zi'), ('转', 'zhuan'), ('拼', 'pin'), ('音', 'yin')]