爬虫初阶（四）—— 百思不得姐多线程爬虫案例_多线程百思不得姐段子爬虫-优快云博客

本文介绍了一个使用Python实现的多线程爬虫实例，针对特定网站进行数据抓取。爬虫采用多线程技术，提高了数据抓取的效率。通过解析网页内容，爬虫能够抓取并保存大量段子文字，同时利用正则表达式处理数据。

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import re
from parse_url import parse_url
import requests
import time
import threading
from queue import Queue

start = time.time()

class Neihan_Spider(object):
    def __init__(self):
        self.url_temp = "http://www.budejie.com/text/{}"
        self.headers = {
            "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/76.0.3809.100 Safari/537.36"}
        self.url_queue = Queue()
        self.html_queue = Queue()
        self.content_queue = Queue()

    def get_url_list(self):
        # return [self.url_temp.format(i) for i in range(1, 10)]
        for i in range(1, 30):
            self.url_queue.put(self.url_temp.format(i))  # put方法记录+1

    def parse_url(self):
        while True:
            url = self.url_queue.get()
            print(url)
            response = requests.get(url, headers=self.headers)
            # return response.content.decode()
            self.html_queue.put(response.content.decode())
            self.url_queue.task_done()  # 使get方法记录-1

    def get_content_list(self):
        while True:
            html_str = self.html_queue.get()
            p = re.compile(
                r"""<div class="j-r-list-c-desc">\n         \n         \n        <a href="/detail-\d+.html">(.*?)</a>""",
                re.S)
            duanzi_str = p.findall(html_str)  # 获取当前页面所有段子的文字, 结果为一个列表, 每一个元素为一条段子
            # return duanzi_str
            self.content_queue.put(duanzi_str)
            self.html_queue.task_done()

    def save_data(self):
        while True:
            s = self.content_queue.get()
            with open("neihan.txt", 'a') as f:
                # 将每一个段子中的<br />换行字符变为真正的换行
                for s1 in s:
                    p2 = re.compile(r"<br />")
                    s2 = p2.sub(r"\n", s1)
                    f.write(s2 + "\n\n")
            self.content_queue.task_done()

    def run(self):
        thread_list = []
        # 1.准备url
        t_url = threading.Thread(target=self.get_url_list)
        thread_list.append(t_url)
        # 2.请求url, 获取响应
        for i in range(3):
            t_parse = threading.Thread(target=self.parse_url)
            thread_list.append(t_parse)
        # 3.处理数据
        for i in range(2):
            t_content = threading.Thread(target=self.get_content_list)
            thread_list.append(t_content)
        # 4.保存
        t_save = threading.Thread(target=self.save_data)
        thread_list.append(t_save)
        for t in thread_list:
            t.setDaemon(True)  # 把子线程设置为守护进程, 该线程不重要, 主线程结束, 子线程结束
            t.start()

        # 让主线程等待阻塞, 等待队列的任务完成之后再结束
        for q in [self.url_queue, self.html_queue, self.content_queue]:
            q.join()
        print("主线程结束")

if __name__ == '__main__':
    nei_han = Neihan_Spider()
    nei_han.run()
    end = time.time()
    print(end - start)