微博一级评论爬虫

cookies需要替换成自己的

python 复制代码
import requests
import requests
from lxml import etree
import openpyxl
from concurrent.futures.thread import ThreadPoolExecutor
import re
from datetime import datetime, timedelta
from urllib import parse
from jsonpath import jsonpath
from datetime import datetime
import os
import csv
import time
import random
import logging
import colorlog





def log_init():
    # 创建日志器
    logger = logging.getLogger()
    logger.setLevel(logging.DEBUG)

    # 创建控制台输出器
    sh = logging.StreamHandler()

    # 创建格式化器,使用colorlog设置颜色
    fmt = '%(log_color)s%(asctime)s %(levelname)s [%(name)s] [%(filename)s:%(lineno)d] - %(message)s%(reset)s'
    formatter = colorlog.ColoredFormatter(fmt,
                                          log_colors={
                                              'DEBUG': 'red',
                                              'INFO': 'yellow',
                                              'WARNING': 'green',
                                              'ERROR': 'cyan',
                                              'CRITICAL': 'red,bg_white',
                                          },
                                          style='%')

    # 把格式化器加入输出器
    sh.setFormatter(formatter)

    # 把处理器加入日志器
    logger.addHandler(sh)

    # 移除所有之前的处理器(如果有的话)
    for handler in logger.handlers[:]:
        logger.removeHandler(handler)

        # 添加新的处理器
    logger.addHandler(sh)

    return logger  # 返回配置好的logger实例


def get_cookies():
    cookies_list = [

    ]
    return random.choice(cookies_list)


def crawl(response):

    html = etree.HTML(response)
    nodes = html.xpath('//div[@action-type="feed_list_item"]')


    num = 0
    mid_list = html.xpath("//div[@class='card-wrap']/@mid")



    uid = ",".join(html.xpath("//div[@class='avator']/a[@target='_blank']/@href"))
    uid_list = re.findall(r'//weibo\.com/(\d+)' , uid)


    for node in nodes:
        try:
            name = node.xpath('.//a[@class="name"]/text()')[0]

            content = node.xpath('.//p[@node-type="feed_list_content_full"]//text()')

            if content == []:
                content = node.xpath('.//p[@node-type="feed_list_content"]//text()')
            # print(content)
            date_str = node.xpath('.//div[@class="from"]/a[1]/text()')[0].strip()

            forwards = node.xpath('.//div[@class="card-act"]/ul/li[1]/a//text()')
            comments_counts = node.xpath('.//div[@class="card-act"]/ul/li[2]/a//text()')
            # print(comments_counts[-1].strip())
            likes = node.xpath('.//div[@class="card-act"]/ul/li[3]/a//text()')
            if forwards[-1].strip() in ' 转发':
                forwards[-1] = '0'
            if comments_counts[-1].strip() in ' 评论':
                comments_counts[-1] = '0'

            if comments_counts[-1].strip():
                mid = mid_list[num]
                uid = uid_list[num]

                get_comments(mid, uid,''.join(content).strip().replace(
                          '\u200b', ''),name,key_word)


            num += 1

            if likes[2].strip() in '赞':
                likes[2] = '0'

            result = [name, date_str, forwards[-1].strip(), comments_counts[-1].strip(), likes[2].strip(),
                      ''.join(content).strip().replace(
                          '\u200b', '')]
            print(result)

        except Exception as f:
            print(f)


def get_comments(mid, uid,content,name_au,max_id=None):



    global num,headers
    url = "https://weibo.com/ajax/statuses/buildComments"

    # print(1)
    if max_id == None:
        params = {
            'is_reload': '1',
            'id': mid,
            'is_show_bulletin': '2',
            'is_mix': '0',
            'count': '10',
            'uid': uid,
            'fetch_level': '0',
            'locale': 'zh-CN',
        }
    else:
        params = {
            'flow': '0',
            'is_reload': '1',
            'id': mid,
            'is_show_bulletin': '2',
            'is_mix': '0',
            'max_id': max_id,
            'count': '20',
            'uid': uid,
            'fetch_level': '0',
            'locale': 'zh-CN',
        }


    response = requests.get(url, headers=headers, cookies=get_cookies(), params=params).json()

    if len(response['data']):

        comment_list = jsonpath(response, '$..data[*].text_raw')
        name_list = jsonpath(response, '$..data[*]..screen_name')
        time_str_list = jsonpath(response, '$..data[*].created_at')
        disable_reply_list = jsonpath(response, '$..data[*].disable_reply')  # 转发数

        idstr_list = jsonpath(response, '$..data[*].idstr')
        like_counts_list = jsonpath(response, '$..data[*].like_counts')  # 点赞数
        source_list = jsonpath(response, '$..data[*].source')  # 来源

        id_list = jsonpath(response, '$..data[*].id')
        rootid_list = jsonpath(response, '$..data[*].rootid')

        for i in range(0, len(comment_list)):
            comment = comment_list[i]
            name = name_list[i]

            followers_count = response['data'][i]['user']['followers_count']
            location = response['data'][i]['user']['location']
            total_number = response['data'][i]['total_number']

            gender = response['data'][i]['user']['gender']

            if gender == "m":
                gender = "男"
            else:
                gender = '女'

            try:
                time_str = time_str_list[i]
                dt = datetime.strptime(time_str, "%a %b %d %H:%M:%S %z %Y")
                # 格式化 datetime 对象
                time_str = dt.strftime("%Y-%m-%d %H:%M:%S")
            except:
                time_str = ''

            disable_reply = disable_reply_list[i]

            idstr = idstr_list[i]
            like_counts = like_counts_list[i]

            id = str(id_list[i])
            rootid = str(rootid_list[i])
            # ['标题', '发布者', 'id', 'rootid', '内容', 评论者名称' , '时间', '粉丝数','评论数','点赞数', 'IP', '居住地',]
            data_list = [content, name_au, id, rootid, comment, name, gender, time_str, followers_count, total_number,like_counts,location]

            save_data_to_csv(data_list)
            num += 1
            logging.info(f"{YELLOW}评论数 :{num} " + f"一级评论{data_list}")



    max_id = jsonpath(response, '$.max_id')[0]

    if max_id != 0 and response['data'] != '':
        get_comments(mid, uid, content, name_au, max_id)




def save_data_to_xlsx(data):
    filename = f'李佳琪/{key_word}.xlsx'
    name_headers = ['标题', '发布者', 'id', 'rootid', '内容', '评论者名称' , ' 性别' , '时间', '粉丝数','评论数','点赞数', 'IP', '居住地',]

    if os.path.exists(filename):
        workbook = openpyxl.load_workbook(filename)
        sheet = workbook.active
        sheet.append(data)
    else:
        workbook = openpyxl.Workbook()
        sheet = workbook.active
        # 添加表头
        sheet.append(name_headers)
        sheet.append(data)
    # 保存 Excel 文件
    workbook.save(filename)


def save_data_to_csv(data_list):
    global key_word
    filename = f'{key_word}.csv'

    name_headers = ['标题', '发布者', 'id', 'rootid', '内容', '评论者名称', ' 性别', '时间', '粉丝数', '评论数', '点赞数', 'IP', '居住地', ]

    if not os.path.isfile(filename):
        with open(f'{filename}', 'a', encoding='utf-8-sig', newline='')as f:
            csv_write = csv.DictWriter(f, fieldnames=name_headers)
            csv_write.writeheader()
    else:
        with open(f'{filename}', 'a', encoding='utf-8', newline='')as f:
            csv_write = csv.DictWriter(f, fieldnames=data_list)
            csv_write.writeheader()


def run():
    url = "https://s.weibo.com/weibo"
    for i in range(1, page):
        params = {
            "q": f'{key_word}',
            "page": f"{i}",
            "xsort": "hot",
            "suball": "1",
            "timescope": f"custom:'{start_time}':'{end_time}'",
            "Refer": "g",
        }
        response = requests.get(url, headers=headers, cookies=get_cookies(), params=params).text
        xml = etree.HTML(response)
        err_msg = ",".join(xml.xpath("//div[@class='card card-no-result s-pt20b40']/p/text()"))
        if '抱歉,未找到相关结果。' in err_msg:
            break
        print(requests.get(url, headers=headers, cookies=get_cookies(), params=params).url)
        crawl(response)


if __name__ == '__main__':
    RED = '\033[31m'  # 红色
    WHITE = '\033[37m'  # 白色
    YELLOW = '\033[33m'  # 黄色
    num = 0
    headers = {
        "accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
        "accept-language": "zh-CN,zh;q=0.9",
        "cache-control": "no-cache",
        "pragma": "no-cache",
        "priority": "u=0, i",
        "referer": "https://weibo.com/",
        "sec-ch-ua": "\"Chromium\";v=\"124\", \"Google Chrome\";v=\"124\", \"Not-A.Brand\";v=\"99\"",
        "sec-ch-ua-mobile": "?0",
        "sec-ch-ua-platform": "\"Windows\"",
        "sec-fetch-dest": "document",
        "sec-fetch-mode": "navigate",
        "sec-fetch-site": "same-site",
        "sec-fetch-user": "?1",
        "upgrade-insecure-requests": "1",
        "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"
    }


    key_word = '#邯郸初中生被害案3人被刑事追诉#'
    start_time = '2024-4-1-1'
    end_time = '2024-4-20-1'
    page = 10  # 页数

    log_init()
    run()
相关推荐
编程的一拳超人5 小时前
DeepSeek Harness Linux/macOS/Windows 本地下载、启动与模型配置指南
linux·windows·macos·deepseek
AIGC小尼5 小时前
Windows 本地 AI 漫剧全自动生产线部署完整教程(零基础、全指令、带源码、模型配置、排错方案)
人工智能·windows·ai漫剧
运维全栈笔记7 小时前
Windows 安装 WSL2 并运行 Ubuntu 24.04 指南
linux·网络·windows·ubuntu
Yan-英杰9 小时前
从“投屏“到“办公“,ToDesk鸿蒙版4.8.0.0补齐远控“进入→处理→离开“全流程
服务器·人工智能·爬虫·机器学习·ai开发工具
我命由我123459 小时前
Windows 操作系统 - 启用 D 盘虚拟内存
java·运维·服务器·windows·学习·java-ee·运维开发
深蓝电商API10 小时前
Redis 在分布式爬虫中的作用
redis·分布式·爬虫
Beyond_System|系统之外10 小时前
Windows 10/11 安装与配置 Zig 0.13.0:从下载到编译验证的完整教程
windows·编译工具
2601_9623815811 小时前
Mac和Windows,哪种电脑适合新手学Python|数智码力分享
windows·python·mac·编程环境·学习入门
会飞的拖把12 小时前
Python序列详解:列表、元组、字符串的通用操作(超详细版)
开发语言·windows·python
阿沐沐,14 小时前
Claude Code 安装教程:Windows、WSL 2 与 macOS
windows·macos