网络爬虫实战(5个案例)

案例1：京东商品页面的爬取

商品链接

import requests
url = "https://item.jd.com/2967929.html"
try:
    r = requests.get(url)
    r.raise_for_status()
    r.encoding = r.apparent_encoding
    print(r.text[:1000])
except:
    print("爬取失败")

案例2：亚马逊商品页面的爬取

商品链接

import requests
url = "https://www.amazon.cn/gp/product/B01M8L5Z3Y"
try:
    kv = {'user-agent':'Mozilla/5.0'}
    r = requests.get(url, headers = kv)
    r.raise_for_status()
    r.encoding = r.apparent_encoding
    print(r.text[1000:2000])
except:
    print("爬取失败")

案例3：百度360关键词提交

搜索引擎关键词提交接口

百度的关键词接口：http://www.baidu.com/s?wd=keyword
360的关键词接口：http://www.so/com/s?q=keyword

import requests
keyword = "Python"
try:
    kv = {'wd':keyword}
    r = requests.get("http://www.baidu.com/s",params=kv)
    print(r.request.url)
    r.raise_for_status()
    print(len(r.text))
except:
    print("爬取失败")

import requests
keyword = "Python"
try:
    kv = {'q':keyword}
    r = requests.get("http://www.so.com/s",params=kv)
    print(r.request.url)
    r.raise_for_status()
    print(len(r.text))
except:
    print("爬取失败")

案例4：网络图片的爬取和存储

网络图片链接的格式：http://www.example.com/picture.jpg
国家地理
选择一个图片Web页面：
http://www.nationalgeographic.com.cn/photography/photo_of_the_day/3921.html
该图片地址：http://image.nationalgeographic.com.cn/2017/0211/20170211061910157.jpg

import requests
import os
url = "http://image.nationalgeographic.com.cn/2017/0211/20170211061910157.jpg"
root = "D://pics//"
path = root + url.split('/')[-1]
try:
    if not os.path.exists(root):
        os.mkdir(root)
    if not os.path.exists(path):
        r = requests.get(url)
        with open(path, 'wb') as f:
            f.write(r.content)
            f.close()
            print("文件保存成功")
    else:
        print("文件已存在")
except:
    print("爬取失败")

案例5：IP地址归属地的自动查询

http://m.ip138.com/ip.asp?ip=ipaddress

import requests
url = "http://m.ip138.com/ip.asp?ip="
try:
    r = requests.get(url + '202.204.80.112')
    r.raise_for_status()
    r.encoding = r.apparent_encoding
    print(r.text[-500:])
except:
    print("爬取失败")

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