【python3爬虫-爬文章】爬IT之家10万篇文章

版权声明:== https://github.com/fyonecon == https://blog.csdn.net/weixin_41827162/article/details/84289547

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1. 技术要点:

  • 多线程;
  • Python3 GET请求(请求评论数),POST请求(将抓取的数据存入数据库);
  • 数据持久化(将抓取数据存入MySQL)。

2. 过程:

采用穷举的办法(为什么用穷举,因为文章url地址是数字结尾但是又没有明显规律),开600线程,一共抓90万次,每次延时0.05秒,一共花费时间47小时。

  • BS4操作DOM,筛选html节点,从而获取想要的文字文本;
  • GET请求,直接返回结果:
    # GET
    import requests
    get_response = requests.get(url='   ')
    res = get_response.text

    返回评论数。

  • POST请求,请求后端api即可完成数据入库:

        import requests
        post_url = 'http://192.168.13.103/laravel55/public/index.php/it_pages2'
        data = {
            "it_title": it_title,
            "it_url": it_url,
            "it_week": it_week,
            "it_number": it_number,
            "it_time": it_time,
            "it_source": it_source,
            "it_editor": it_editor,
            "it_comment": it_comment,
        }
        post = requests.post(url=post_url, data=data, headers={'Content-Type': 'application/x-www-form-urlencoded'})
        

         将数据保存到数据库。

         我后端用的是PHP框架laravel55,直接写一个POST提交接口即可。研究了一下Django编写有点麻烦,数据库配置很麻烦,增删改查数据很麻烦,建项目很麻烦,分布式很麻烦,总之有点麻烦。

3. 整个爬虫Python3.x代码:

from bs4 import BeautifulSoup
import urllib.request
import requests
import os
import re
import time
import _thread


# 单篇文章
def a_page(week, number, weburl):

    it_url = weburl + str(week) + '/' + str(number) + '.htm'  # 文章地址
    print('\n文章地址:' + it_url)

    try:
        # 获取网页
        response = urllib.request.urlopen(it_url)
        html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
        html_string = str(html)  # 转换成string,可以直接向数据库添加
        soup = BeautifulSoup(html_string, "html.parser")  # 解析网页标签

        title_div = soup.find_all('div', attrs={'class', 'post_title'})[0]

        it_title = title_div.find('h1').string  # 标题
        it_time = title_div.find_all(id='pubtime_baidu')[0].string  # 文章时间
        it_source = title_div.find_all(id='source_baidu')[0].find('a').string  # 文章来源
        it_editor = title_div.find_all(id='editor_baidu')[0].find('strong').string  # 编辑

        get_response = requests.get(url='https://dyn.ithome.com/api/comment/count?newsid=' + str(week) + str(number))
        it_comment = re.findall('(\d+)', get_response.text)[-1]  # 评论数

        it_week = week  # 第多少周
        it_number = number  # 文章在本周的编号

        print(it_title)
        print(it_url)
        print(it_week)
        print(it_number)
        print(it_time)
        print(it_source)
        print(it_editor)
        print(it_comment)

        print('本篇文章抓取完成,编号=' + str(number))

        # 文章数据存储
        post_url = 'http://192.168.13.103/laravel55/public/index.php/it_pages2'
        data = {
            "it_title": it_title,
            "it_url": it_url,
            "it_week": it_week,
            "it_number": it_number,
            "it_time": it_time,
            "it_source": it_source,
            "it_editor": it_editor,
            "it_comment": it_comment,
        }
        post = requests.post(url=post_url, data=data, headers={'Content-Type': 'application/x-www-form-urlencoded'})
        print('数据保存完成,res=' + post)

        pass
    except:
        print('不存在文章,编号=' + str(number) + ';周=' + str(week))
        pass

    time.sleep(0.05)  # 延时抓取完成要延时12.5小时,避免拖死wifi路由器,减少样本失败率。

    pass


def week_page(week, weburl):
    for number in range(1, 1500):  # 一周文章最大编号
        print('\n第' + str(number) + '篇文章')
        # a_page(week, number, weburl)
        pass
    pass


all_thread_num = 0


def page_class(cla, that_num):
    print("已启动线程=" + str(that_num))
    global all_thread_num
    all_thread_num += 1
    print("线程总数=" + str(all_thread_num))
    for page in range(1, 30):
        print("内=" + str(page))
        pass
    pass


for cla in range(0, 600):  # 创建线程
    try:
        _thread.start_new_thread(week_page, (cla, 'https://www.ithome.com/0/'))
        pass
    except:
        print("无法启动线程")
        pass
    pass

while 1:
    pass

MySQL下载:

地址1:https://download.csdn.net/download/weixin_41827162/10795556

地址2:https://makeoss.oss-cn-hangzhou.aliyuncs.com/it/it_pages2.sql

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转载自blog.csdn.net/weixin_41827162/article/details/84289547
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