简易爬虫入门

简易爬虫入门

原文链接：点击此处前往
环境准备：

• python3
• pycharm

python篇

HelloWorld

print('hello,world!')

数据类型

print(123)
print(12.34)
print('A')
print('中')
print('hello')
print("hello")
print('''Dear:
    LiHua''')
lst = [1, 2, 3, "hello", "world", 'A', '中']
print(lst)

条件判断和循环

while 1:
    a = int(input("请输入数字："))
    if a == 0:
        print('over')
        break
    elif a == 1:
        print('hello')
    elif a == 2:
        print('world')
    elif a == 3:
        print('python')
    else:
        print('java')

lst = []
for i in range(20):
    lst.append(i)
print(lst)

lst = [1, 2, 666, 'hello', 'rick']
for item in lst:
    print(item)

简易爬虫篇

Request

import requests


if __name__ == '__main__':
    # 1.指定url
    url = 'https://www.sogou.com/'
    # 2.发起请求
    response = requests.get(url=url)   # 调用get方法,get方法会返回一个响应对象,我们用response来接受这个对象
    # 3.获取响应数据
    page_text = response.text   # text属性，HTTP响应内容的字符串形式，即：url对应的页面内容
    print(page_text)

Xpath

安装：pip install lxml

# -*- coding: utf-8 -*-

import requests
from lxml import etree


if __name__ == '__main__':
    # 1.指定url
    url = 'https://www.sogou.com/'
    # 2.发起请求
    response = requests.get(url=url)   # 调用get方法,get方法会返回一个响应对象,我们用response来接受这个对象
    # 3.获取响应数据
    page_text = response.text   # text属性，HTTP响应内容的字符串形式，即：url对应的页面内容
    # 实例化etree对象
    tree = etree.HTML(page_text)

    # 获取标签
    s = tree.xpath('//*[@id="weixinch"]')
    s_text = tree.xpath('//*[@id="weixinch"]/text()')
    print(s)
    print(s_text)

    # 获取属性
    href = tree.xpath('//*[@id="weixinch"]/@href')
    print(href)

4K图片爬取

目标网站

# -*- coding: utf-8 -*-

import requests
from lxml import etree
import os


if __name__ == '__main__':
    # 创建一个文件夹用来存放图片
    if not os.path.exists('./4k_img'):
        os.mkdir('./4k_img')

    base_url = 'http://pic.netbian.com/4kmeinv/'
    img_base_url = 'http://pic.netbian.com/'     # 图片
    # UA伪装
    headers = {
        'User-Agent': 'Mozilla / 5.0(Windows NT 10.0; Win64;x64) AppleWebKit / 537.36(KHTML, likeGecko) Chrome / 86.0.4240.75Safari / 537.36User - Agent: Mozilla / 5.0(WindowsNT10.0;Win64;x64) AppleWebKit / 537.36(KHTML, likeGecko) Chrome / 86.0.4240.75Safari / 537.36'
    }
    for i in range(1, 4):   # 爬取前三页图片
        if i == 1:
            add_url = 'index.html'
        else:
            add_url = f'index_{i}.html'
        url = base_url + add_url
        page_text = requests.get(url=url, headers=headers).text
        tree = etree.HTML(page_text)
        # 我们有了图片的base_url，接下来就要想办法获得图片名成以及图片的add_url
        li_list = tree.xpath('//*[@id="main"]//li')     # 得到了li标签的列表
        for li in li_list:
            # 解决中文为乱码的方法
            img_name = li.xpath('.//a/b/text()')[0].encode('ISO-8859-1').decode('gbk')+'.jpg'
            img_add_url = li.xpath('.//img/@src')[0]
            img_url = img_base_url + img_add_url
            # 这样就获得了每张图片的url和名字
            img_data = requests.get(url=img_url, headers=headers).content   # 将图片以二进制形式存储到img_data中\
            img_path = './4k_img/'+img_name   # 每张图片最终存储路径
            with open(img_path, 'wb') as file:
                file.write(img_data)
                print(img_name+'下载成功!')
    print('over!')

简历模板爬取

目标网站

# -*- coding: utf-8 -*-

import requests
import os
from lxml import etree


if __name__ == '__main__':
    # 创建一个文件夹用来存放简历模板
    if not os.path.exists('./简历模板'):
        os.mkdir('./简历模板')

    headers = {
        'User-Agent': 'Mozilla / 5.0(Windows NT 10.0; Win64;x64) AppleWebKit / 537.36(KHTML, likeGecko) Chrome / 86.0.4240.75Safari / 537.36User - Agent: Mozilla / 5.0(WindowsNT10.0;Win64;x64) AppleWebKit / 537.36(KHTML, likeGecko) Chrome / 86.0.4240.75Safari / 537.36'
    }
    base_url1 = 'https://sc.chinaz.com/jianli/'
    base_url2 = 'https:'

    for page in range(1, 4):    # 爬取前四页
        if page == 1:
            add_url1 = 'free.html'
        else:
            add_url1 = f'free_{page}.html'
        url1 = base_url1 + add_url1     # 获取到了第一层url
        # 要从第一次url中解析到模板名字和add_url2
        page_text1 = requests.get(url=url1, headers=headers).text
        tree1 = etree.HTML(page_text1)
        p_list = tree1.xpath('//*[@id="container"]//p')
        # 从p标签中解析出模板名字和add_url2
        for p in p_list:
            name = p.xpath('./a/text()')[0].encode('ISO-8859-1').decode('utf-8') + '.rar'
            add_url2 = p.xpath('./a/@href')[0]
            url2 = base_url2 + add_url2     # 获取到了url2
            # 从url2中解析出模板二进制数据所在的链接
            page_text2 = requests.get(url=url2, headers=headers).text
            tree2 = etree.HTML(page_text2)
            data_url = tree2.xpath('//*[@id="down"]//li[12]/a/@href')[0]
            data = requests.get(url=data_url, headers=headers).content
        
            # 存储模板
            data_path = './简历模板/' + name
            with open(data_path, 'wb') as file:
                file.write(data)
                print(name+'下载成功！')

    print('over!')