图集谷美女图片python spider

zyjsuper

Python  requests + lxml + re 这三个模块是爬虫初学者必须掌握的，分享个比较简单的爬虫，代码比较糙，大家凑合着看吧。

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#!/usr/bin/env python3
# encoding: utf-8
"""
@version: 1.0
@author: zyjsuper
@license: Apache Licence
@software: PyCharm
@file: tujigu_spider1.py
@time: 2020/8/29 21:10
"""

from lxml import etree
import requests
import math
import os
import re
import random

USER_AGENTS = [
    "Mozilla/5.0 (Macintosh; U; Intel Mac OS X 10_6_8; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
    "Mozilla/5.0 (Windows; U; Windows NT 6.1; en-us) AppleWebKit/534.50 (KHTML, like Gecko) Version/5.1 Safari/534.50",
    "Mozilla/5.0 (Windows NT 10.0; WOW64; rv:38.0) Gecko/20100101 Firefox/38.0",
    "Mozilla/5.0 (Windows NT 10.0; WOW64; Trident/7.0; .NET4.0C; .NET4.0E; .NET CLR 2.0.50727; .NET CLR 3.0.30729; .NET CLR 3.5.30729; InfoPath.3; rv:11.0) like Gecko",
    "Mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Trident/5.0)",
    "Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 6.0; Trident/4.0)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 6.0)",
    "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1)",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10.6; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
    "Mozilla/5.0 (Windows NT 6.1; rv:2.0.1) Gecko/20100101 Firefox/4.0.1",
    "Opera/9.80 (Macintosh; Intel Mac OS X 10.6.8; U; en) Presto/2.8.131 Version/11.11",
    "Opera/9.80 (Windows NT 6.1; U; en) Presto/2.8.131 Version/11.11",
    "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_7_0) AppleWebKit/535.11 (KHTML, like Gecko) Chrome/17.0.963.56 Safari/535.11",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Maxthon 2.0)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; TencentTraveler 4.0)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; The World)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Trident/4.0; SE 2.X MetaSr 1.0; SE 2.X MetaSr 1.0; .NET CLR 2.0.50727; SE 2.X MetaSr 1.0)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; 360SE)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; Avant Browser)",
    "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1)",
    "Mozilla/5.0 (iPhone; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5",
    "Mozilla/5.0 (iPod; U; CPU iPhone OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5",
    "Mozilla/5.0 (iPad; U; CPU OS 4_3_3 like Mac OS X; en-us) AppleWebKit/533.17.9 (KHTML, like Gecko) Version/5.0.2 Mobile/8J2 Safari/6533.18.5",
    "Mozilla/5.0 (Linux; U; Android 2.3.7; en-us; Nexus One Build/FRF91) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
    "MQQBrowser/26 Mozilla/5.0 (Linux; U; Android 2.3.7; zh-cn; MB200 Build/GRJ22; CyanogenMod-7) AppleWebKit/533.1 (KHTML, like Gecko) Version/4.0 Mobile Safari/533.1",
    "Opera/9.80 (Android 2.3.4; Linux; Opera Mobi/build-1107180945; U; en-GB) Presto/2.8.149 Version/11.10",
    "Mozilla/5.0 (Linux; U; Android 3.0; en-us; Xoom Build/HRI39) AppleWebKit/534.13 (KHTML, like Gecko) Version/4.0 Safari/534.13",
    "Mozilla/5.0 (BlackBerry; U; BlackBerry 9800; en) AppleWebKit/534.1+ (KHTML, like Gecko) Version/6.0.0.337 Mobile Safari/534.1+",
    "Mozilla/5.0 (hp-tablet; Linux; hpwOS/3.0.0; U; en-US) AppleWebKit/534.6 (KHTML, like Gecko) wOSBrowser/233.70 Safari/534.6 TouchPad/1.0",
    "Mozilla/5.0 (SymbianOS/9.4; Series60/5.0 NokiaN97-1/20.0.019; Profile/MIDP-2.1 Configuration/CLDC-1.1) AppleWebKit/525 (KHTML, like Gecko) BrowserNG/7.1.18124",
    "Mozilla/5.0 (compatible; MSIE 9.0; Windows Phone OS 7.5; Trident/5.0; IEMobile/9.0; HTC; Titan)",
    "UCWEB7.0.2.37/28/999",
    "NOKIA5700/ UCWEB7.0.2.37/28/999",
    "Openwave/ UCWEB7.0.2.37/28/999",
    "Mozilla/4.0 (compatible; MSIE 6.0; ) Opera/UCWEB7.0.2.37/28/999",
    # iPhone 6：
    "Mozilla/6.0 (iPhone; CPU iPhone OS 8_0 like Mac OS X) AppleWebKit/536.26 (KHTML, like Gecko) Version/8.0 Mobile/10A5376e Safari/8536.25",
]

headers = {
    'User-Agent':random.choice(USER_AGENTS)
}
url = "https://www.tujigu.com/"
response = requests.get(url,headers=headers,timeout=5)
html = etree.HTML(response.content.decode())
lis = html.xpath("//li[@id='tag']//li/a/text()")
lis1 = html.xpath("//li[@id='tag']//li/a/@href")

links_dict = {}
for i in range(0,len(lis)):
    links_dict[i] = lis[i]

# print(links_dict)

for k in links_dict.items():
    print(k,end = '\n')

while True:
    try:
        choose = int(input("请选择分类对应的数字>>>:"))
        choose_url = lis1[choose]
        print("即将打开链接: %s" %choose_url)
        break
    except:
        print("请输入0-%d之间的数字。" %len(lis))

resp = requests.get(choose_url,headers=headers,timeout=5)
f = etree.HTML(resp.content.decode())
count = f.xpath('//div[@class="shoulushuliang"]//span/text()')[0]
pages = math.ceil(int(count)/40)
print("此分类共包含%s套写真集,共计%s页。" %(count,pages))

while True:
    try:
        page = int(input("请选择第几页下载>>>:"))
        if page == 1:
            target_url = choose_url
        else:
            target_url = choose_url + "index_" + str(page-1) +".html"
        print(target_url)
        if page == pages:
            count1 = int(count)%40
        else:
            count1 = 40
        print(count1)
        print("即将爬取第%s页面,共计%s个模特。" %(page,count1))
        break
    except:
        print("请输入0-%d之间的数字。" %pages)


response2 = requests.get(target_url,headers=headers,timeout=5)

html = etree.HTML(response2.content.decode())

biaoti_list = html.xpath('//div[@class="hezi"]//li/p[@class="biaoti"]/a/text()')
mode_links = html.xpath('//div[@class="hezi"]//li/a/@href')

print(biaoti_list)
print(mode_links)
username = os.getenv("USERNAME")
savepath = "C:\\Users\\" + username + "\\Desktop\\tujigu\\"
try:os.mkdir(savepath)
except:pass

for i in range(len(biaoti_list)):
    try:
        os.mkdir(savepath + biaoti_list[i])
    except:
        pass

    mode_num = re.findall('\d{1,6}',mode_links[i])[0]
    response3 = requests.get(mode_links[i])
    html = etree.HTML(response3.content.decode())
    pics_count = html.xpath('//p[contains(text(),"图片数量")]/text()')[0]
    print("模特的号码是：%s，%s" %(mode_num,pics_count))
    pics = re.findall('\d{1,3}',pics_count)[0]
    for j in range(1,int(pics)+1):
        pic_link =  "https://lns.hywly.com/a/1/" + mode_num + "/" + str(j) +".jpg"
        print("开始爬取%s" %pic_link)
        with open(savepath + biaoti_list[i] + "\\" + str(j) + ".jpg" , "wb" ) as file:
            file.write(requests.get(pic_link).content)
        print("保存为图片%s" %(savepath + biaoti_list[i] + "\\" + str(j) + ".jpg"))

smallhorse

大神V587，感谢分享

Worryfree

感谢大神分享

liu4166

厉害厉害，我辈学习的楷模

13673353710

感谢大神分享。

Prajna

老师厉害，感恩老师的分享！

pestxo

好多美女啊，谢谢

旅途中求学大佬

我爱死这个东西了，分享精神，是最值得尊敬的！

woaicsj99

你懂得。哈哈

234111

感谢大神分享