Python快速入门

简单易懂Python入门

爬虫流程

1. 获取网页内容：HTTP请求
2. 解析网页内容：Requst库、HTML结果、Beautiful Soup库
3. 储存和分析数据

什么是HTTP请求和响应

如何用Python Requests发送请求

1. 下载pip
   

2. macos系统下载：pip3 install requests

通过第二行进行伪装为浏览器请求

实践

import requests
headers = {
    "User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/15.6.1 Safari/605.1.15"
}
response = requests.get("https://movie.douban.com/top250",headers=headers)

print(response.text)

什么是HTML网页结构？

HTML常见标签

:链接

1. pip3 install bs4

from bs4 import BeautifulSoup
import requests
content = requests.get("http://books.toscrape.com/").text

soup = BeautifulSoup(content,"html.parser")
all_prices = soup.findAll("p",attrs={"class","price_color"})
for price in all_prices:
    print(price.string[2:])

实战

import requests
from bs4 import BeautifulSoup
headers = {
    "User-Agent":"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/15.6.1 Safari/605.1.15"
}
for start_num in range(0,250,25):
    response = requests.get(f"https://movie.douban.com/top250?start={start_num}", headers=headers)
    html = response.text
    soup = BeautifulSoup(html, "html.parser")
    all_titles = soup.findAll("span", attrs={"class", "title"})
    for title in all_titles:
        title_string = title.string
        if "/" not in title_string:
            print(title_string)

进阶

1. 正则表达式
2. 多线程
3. 数据库
4. 数据分析

规则

1. 不爬公民隐私数据
2. 不爬受著作权保护内容
3. 不爬国家事务、国防建设、尖端科学技术等
4. 请求数量频率不能过高
5. 反爬就不要强行图片
6. 了解robots.txt查看可爬和不可爬内容