python爬取图片全网_用python爬取全网妹子图片【附源码笔记】
这是晚上没事无聊写的python爬虫小程序，专门爬取妹子图的，养眼用的，嘻嘻！身为程序狗只会这个了！
废话不多说，代码附上，仅供参考学习！
"""
功能：爬取妹子图全网妹子图片，可以选择爬取年份，自动分类保存
作者：68喜科技
"""
import requests
from lxml import etree
# import re
import os
# from time import sleep
class Meizitu(object):
"""爬取妹子图中的图片"""
def __init__(self, year):
self.url = "http://www.mzitu.com/all/"
self.headers = {"User-Agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.186 Safari/537.36"}
self.year = year
# 获取页面
def get_page(self, url, headers):
response = requests.get(url, headers=headers)
return response.content.decode()
# 提取列表页中的urls
def get_detail_urls_list(self, page_content, year):
html_content = etree.HTML(page_content)
year_list = html_content.xpath("//div[@class='year']/text()")
index = 2019 - year
# 提取某一年的相关主题的urls
xpath_var = "//div[@class='year'][{}]/following-sibling::*[1]//p[@class='url']/a/@href".format(index)
if index <= len(year_list):
urls_list = html_content.xpath(xpath_var)
# print(urls_list)
else:
urls_list = None
return urls_list
# 构造保存路径并创建目录
def save_path(self, detail_html_content, first_img_url, img_name):
# 构造保存路径
path_prefix1 = detail_html_content.xpath("//div[@class='currentpath']/a/text()")[1]
# print(path_prefix1)
path_prefix2 = first_img_url[20:29]
# print(path_prefix2)
save_path = "./妹子图/" + path_prefix1 + path_prefix2 + img_name + "/"
# 如果目录不存在，则创建目录
if not os.path.exists(save_path):
os.makedirs(save_path)
return save_path
# 请求和保存图片
def save_img(self, img_url, img_headers, img_save_path):
# 请求图片
img_content = requests.get(img_url, headers=img_headers).content
# 保存图片
with open(img_save_path, "wb") as f:
f.write(img_content)
# 构造图片请求地址
def img_url(self, first_img_url, img_index):
if img_index < 10:
img_url = first_img_url[:32] + "0" + str(img_index) + ".jpg"
else:
img_url = first_img_url[:32] + str(img_index) + ".jpg"
# print(img_url)
return img_url
# 构造图片的请求头
def img_headers(self, url, img_index):
if img_index == 1 :
refer_url = url
else:
refer_url = url + "/" + str(img_index)
# print(refer_url)
img_headers = {
# "Accept":"image/webp,image/apng,image/*,*/*;q=0.8",
# "Accept-Encoding":"gzip, deflate",
# "Accept-Language":"zh-CN,zh;q=0.9",
# "Connection":"keep-alive",
"Host":"i.meizitu.net",
"Referer":refer_url,
"User-Agent":"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/64.0.3282.186 Safari/537.36"
}
# print(img_headers,end="\n\n")
return img_headers
# 构造每个主题的图片请求地址 并保存
def get_img_urls(self, url, detail_html_content, first_img_url, img_name, save_path):
# 每个主题中的图片总数
img_total_num = int(detail_html_content.xpath("//div[@class='pagenavi']/a/span/text()")[4])
# 构造图片地址 http://i.meizitu.net/2018/02/18c01.jpg
for img_index in range(1, img_total_num + 1):
img_url = self.img_url(first_img_url, img_index)
img_headers = self.img_headers(url, img_index)
# 构造图片具体保存路径
img_save_path = save_path + img_name + str(img_index) + ".jpg"
# sleep(10)
# 请求和保存图片
self.save_img(img_url, img_headers, img_save_path)
# 获取图片
def get_image(self, detail_urls_list):
for url in detail_urls_list:
detail_page = self.get_page(url, headers=self.headers)
detail_html_content = etree.HTML(detail_page)
# 第一页图片地址
first_img_url = detail_html_content.xpath("//div[@class='main-image']/p/a/img/@src")[0]
# print(first_img_url)
# 获取图片保存的名字
img_name = detail_html_content.xpath("//h2[@class='main-title']/text()")[0]
# print(img_name)
# 构建保存路径并创建目录
save_path = self.save_path(detail_html_content, first_img_url, img_name)
# 构建图片请求地址并下载
self.get_img_urls(url, detail_html_content, first_img_url, img_name, save_path)
# 启动爬虫
def run_spider(self):
# 获取妹子图中的列表页内容
page_content = self.get_page(self.url, self.headers)
# 获取详情页的地址列表
detail_urls_list = self.get_detail_urls_list(page_content, self.year)
# 获取图片
self.get_image(detail_urls_list)
if __name__ == "__main__":
year = int(input("请输入您要爬取的年份："))
meizitu = Meizitu(year)
meizitu.run_spider()
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