1，修正了bug，并且现在可以自己选择开始下载页和要下载的页数。
2，打包了我的python运行环境和代码，需要的可以直接下载压缩包，在解压后的文件夹内运行
pip install -r requirements.txt
即可将你的python环境变成同我一样，运行就应该不会出错了。
说在前面：1，因为用的是异步方法，食用本爬虫前，请先
pip install aiohttp,aiofiles
2，这个网站设置了防盗链以及反爬，网站图片url无法直接访问，自己修改时，请在请求头中加上Referer字段，网站对同一ip的并发访问也有限制，超过7，30秒左右基本就会被暂时禁止访问。所以并发连接数不要太大，7够用了。具体效果看截图。
效果：
截图
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Python源码
tulishe.py
import asyncio import random import time import aiohttp import aiofiles import requests from lxml import etree import os import re from fake_useragent import UserAgent from functools import wraps from asyncio.proactor_events import _ProactorBasePipeTransport def silence_event_loop_closed(func): @wraps(func) def wrapper(self, *args, **kwargs): try: return func(self, *args, **kwargs) except RuntimeError as e: if str(e) != 'Event loop is closed': raise return wrapper _ProactorBasePipeTransport.__del__ = silence_event_loop_closed(_ProactorBasePipeTransport.__del__) ua = UserAgent() headers = {'User-Agent': ua.random, 'Referer': 'http://www.tulishe.com'} class tulishe: def __init__(self): self.write_num = 0 async def get_url(self, url): async with aiohttp.ClientSession() as client: async with client.get(url, headers=headers) as resp: if resp.status == 200: return await resp.text() async def html_parse(self, html): semaphore = asyncio.Semaphore(5) html_parse = etree.HTML(html) url_list = html_parse.xpath('//div[@class="img"]//a[@rel="bookmark"]/@href') tasks = [asyncio.create_task(self.img_parse(url, semaphore)) for url in url_list] await asyncio.wait(tasks) async def img_parse(self, h_url, sem): async with sem: semaphore = asyncio.Semaphore(5) h_html = await self.get_url(h_url) h_html_parse = etree.HTML(h_html) title = h_html_parse.xpath('//h1[@class="article-title"]/text()')[0] img_demo_url = h_html_parse.xpath( '//*[@id="gallery-2"]/div[@class="gallery-item gallery-blur-item"]/img/@src') img_url_list = [] for d_url in img_demo_url: img_url = d_url.split('=')[1].split('&')[0] img_url_list.append(img_url) i_u_l = h_html_parse.xpath( '//div[@class="gallery-item gallery-fancy-item"]/a/@href') full_list = i_u_l + img_url_list index_list = list(range(1, len(full_list) + 1)) index_dict = dict(zip(full_list, index_list)) tasks = [asyncio.create_task(self.img_con(i_url, i_num, title, semaphore)) for i_url, i_num in index_dict.items()] await asyncio.wait(tasks) async def img_con(self, url, num, title, semaphore): async with semaphore: async with aiohttp.ClientSession() as client: async with client.get(url, headers=headers) as resp: if resp.status == 200: img_con = await resp.read() await self.write_img(img_con, num, title) else: print('请求出错，请尝试调低并发数重新下载！！') async def write_img(self, img_con, num, title): if not os.path.exists(title): os.makedirs(title) async with aiofiles.open(title + '/' + f'{num}.jpg', 'wb') as f: print(f'正在下载{title}/{num}.jpg') await f.write(img_con) self.write_num += 1 else: async with aiofiles.open(title + '/' + f'{num}.jpg', 'wb') as f: print(f'正在下载{title}/{num}.jpg') await f.write(img_con) self.write_num += 1 async def main(self, ): q_start_num = input('输入要从第几页开始下载（按Entry默认为1）:') or '1' start_num = int(q_start_num) total_num = int(input('请输入要下载的页数：')) + start_num print('*' * 74) start_time = time.time() for num in range(start_num, total_num + 1): url = f'http://www.tulishe.com/all/page/{num}' html = await self.get_url(url) print('开始解析下载>>>') await self.html_parse(html) end_time = time.time() print(f'本次共下载写真图片{self.write_num}张，共耗时{end_time - start_time}秒。') a = tulishe() asyncio.run(a.main()) 结语：
可以看到，虽然有反爬限制，但1秒10张的速度是完全可以实用的，虽然之前想尝试用代{过}{滤}理池规避，但实际实验后发现，免费的完全不靠谱，可用的又太贵，只是用来日常学习实用，还是采用限制并发比较实际。