泡书吧网站小说爬取程序，多线程极速下载

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泡书吧网站小说爬取程序，多线程极速下载，运行后打开网站，选取你喜欢的小说，打开小说的目录页面（小说目录页），复制网址（如：http://www.paoshu8.info/224_224190/“）后粘贴到输入提示窗口回车即可。注：不输入任何内容直接回车则开始示例小说下载！

[Python] 纯文本查看 复制代码

import os
import random
import time
import requests
import threading
from queue import Queue
from lxml import etree
import logging
import colorlog
from requests.adapters import HTTPAdapter

# 配置日志
handler = colorlog.StreamHandler()
handler.setFormatter(colorlog.ColoredFormatter(
    '%(log_color)s%(asctime)s - %(levelname)s - %(message)s',
    log_colors={
        'DEBUG': 'cyan',
        'INFO': 'green',
        'WARNING': 'yellow',
        'ERROR': 'red',
        'CRITICAL': 'bold_red',
    }
))

logger = logging.getLogger()
logger.addHandler(handler)
logger.setLevel(logging.INFO)

user_agents = [
    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/70.0.3538.102 Safari/537.36 Edge/18.18363',
    'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/74.0.3729.169 Safari/537.36',
    'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:66.0) Gecko/20100101 Firefox/66.0',
    'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/87.0.4280.88 Safari/537.36',
    'Mozilla/5.0 (iPhone; CPU iPhone OS 13_2_3 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/13.0.3 Mobile/15E148 Safari/604.1'
]

# 增加连接池大小
session = requests.Session()
adapter = HTTPAdapter(pool_connections=100, pool_maxsize=100)  # 设置连接池大小为100
session.mount('http://', adapter)
session.mount('https://', adapter)

def get_chaptercontent(chapter_url, temp_file, queue, semaphore, session, max_retries=5):
    semaphore.acquire()  # 获取信号量
    try:
        retry_count = 0
        chaptercontent = ''
        while retry_count < max_retries:
            try:
                time.sleep(0.2)
                headers = {
                    'User-Agent': random.choice(user_agents),
                    'Accept-Language': 'en-US,en;q=0.9'
                }
                response = session.get(chapter_url, headers=headers, timeout=60)
                response.close()  # 确保连接关闭
                if response.status_code == 429:
                    wait_time = int(response.headers.get('Retry-After', 2))  # 尝试从响应头获取等待时间
                    time.sleep(wait_time)
                    continue

                if response.status_code != 200:
                    if retry_count == max_retries - 1:
                        logger.error(f"未能获取章节: {chapter_url} - 状态码: {response.status_code}")
                    queue.put(None)  # 标记失败
                    return

                # 使用lxml解析响应文本
                html = response.content.decode(response.apparent_encoding)
                selector = etree.HTML(html)
                title = selector.xpath('//h1/text()')
                contents = selector.xpath('//div[@id="content"]/p/text()')
                for content in contents:  # 把每一段内容连接起来
                    chaptercontent = chaptercontent + '\n  ' + str(content).strip()

                if not title or not contents:
                    if retry_count == max_retries - 1:
                        logger.error(f"未能找到章节内容: {chapter_url}")
                    queue.put(None)  # 标记失败
                    return

                title = title[0]  # 假设只有一个标题
                logger.info(f"\t正在下载：{title}")
                # 将章节标题和内容写入临时文件
                with open(temp_file, 'w', encoding='utf-8') as f:
                    f.write(title + '\n')
                    f.writelines(chaptercontent)

                queue.put(temp_file)  # 将文件路径放入队列
                break  # 成功后退出循环
            except requests.exceptions.RequestException as e:
                retry_count += 1
                if retry_count == max_retries:
                    logger.error(f"达到最大重试次数，未能下载章节: {chapter_url} - 错误: {e}")
                    queue.put(None)  # 标记失败
                    return
                else:
                    time.sleep(5)  # 等待5秒后重试

        if retry_count == max_retries:
            queue.put(None)  # 标记失败
    finally:
        semaphore.release()  # 无论成功还是失败，都释放信号量


def download_chapters(base_url):
    retry_count = 0
    max_retries = 5  # 最大尝试次数
    while retry_count < max_retries:
        try:
            response = session.get(base_url, headers={'User-Agent': random.choice(user_agents)}, timeout=60)
            response.close()  # 确保连接关闭
            if response.status_code != 200:
                if retry_count == max_retries - 1:
                    logger.error(f"未能获取URL: {response.status_code}")
                return

            # 使用lxml解析响应文本
            html = response.content.decode(response.apparent_encoding)
            selector = etree.HTML(html)
            chapter_links = selector.xpath('//dd/a/@href')

            if not chapter_links:
                if retry_count == max_retries - 1:
                    logger.error("未找到章节链接。")
                return

            # 获取书籍名称
            book_name = selector.xpath('//div[@id="info"]/h1/text()')[0]
            logger.info(f'\n正在下载小说：{book_name}\n')

            save_directory = os.path.join(os.getcwd(), 'downloads')  # 当前目录下的 "downloads" 文件夹
            os.makedirs(save_directory, exist_ok=True)  # 创建保存目录

            # 创建一个队列来保存结果
            result_queue = Queue()

            # 定义 semaphore
            semaphore = threading.BoundedSemaphore(50)  # 设置最大线程数为50

            threads = []

            # 遍历章节链接，剔除最新章节部分，从第1章开始
            for index, href in enumerate(chapter_links[9:], start=1):
                chapter_url = f'http://www.paoshu8.info{href}'

                temp_file = os.path.join(save_directory, f'temp_{index:04d}.txt')

                # 创建线程来下载章节内容
                thread = threading.Thread(target=get_chaptercontent,
                                         args=(chapter_url, temp_file, result_queue, semaphore, session, max_retries))
                threads.append(thread)
                thread.start()

            # 等待所有线程完成
            for thread in threads:
                thread.join()

            # 从队列中收集结果
            temp_files = []
            while not result_queue.empty():
                temp_file = result_queue.get()
                if temp_file:  # 如果文件成功创建
                    temp_files.append(temp_file)

            # 按章节顺序对临时文件排序
            temp_files.sort(key=lambda x: int(x.split('_')[-1].split('.')[0]))

            # 合并临时文件到主文件
            append_temp_files_to_main(temp_files, save_directory, book_name)
            break  # 成功后退出循环
        except requests.exceptions.RequestException as e:
            retry_count += 1
            if retry_count == max_retries:
                logger.error(f"达到最大重试次数，未能下载章节列表。 - 错误: {e}")
                return
            else:
                time.sleep(5)  # 等待5秒后重试

    if retry_count == max_retries:
        logger.error(f"达到最大重试次数，未能下载章节列表。")


def append_temp_files_to_main(temp_files, save_directory, book_name):
    book_path = os.path.join(save_directory, f'{book_name}.txt')
    with open(book_path, 'w', encoding='utf-8') as main_file:
        for temp_file in temp_files:
            with open(temp_file, 'r', encoding='utf-8') as tf:
                chapter_text = tf.read().strip()
                if chapter_text:  # 确保章节文本非空
                    main_file.write(chapter_text + '\n\n')
            os.remove(temp_file)  # 删除临时文件


if __name__ == "__main__":
    base_url = 'http://www.paoshu8.info'
    url = input(f"请输入网站({base_url})内选定小说目录页所在页网址：")
    max_threads = ''
    # max_threads = input(f"请输入允许同时打开的线程数（默认为100，过多的线程可能会被网站限制而出错：)")
    if url == '':
        url = 'http://www.paoshu8.info/224_224190/'
    if max_threads == '':
        max_threads = 100
    else:
        max_threads = int(max_threads)
    start_time = time.time()
    download_chapters(url)
    end_time = time.time()
    logger.info(f'\n总耗时：{end_time - start_time:.2f}秒')

XiaoLuoSheng

感谢大佬！

lgk

可以，非常好用下载速度也可以，书源比较全，但是有点问题，就是下载下来的小说不是很完整，每一章节总缺少一点字数，不知道是书源的问题还是啥

xiaohuaiwu

学习了，感谢大佬

zhaomingX

感谢大佬

lufei2002

感谢大佬

moka518

代码写的很清楚❤️

159357ssy

学习一下

Lichenglong1998

感谢，值得学习

xiaowuzainuli

感谢分享666

zjtzjt

感谢分享，找小说方便多了