【Python3爬虫-爬图片】爬中国国家地理全站1.7万张图片

声明:爬虫为学习使用,请各位同学务必不要对当放网站或i服务器造成伤害。务必不要写死循环。

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思路:古镇——古镇列表(循环获取古镇详情href)——xx古镇详情(获取所有img的src)

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需要安装requests:

pip install requests

# 低版本Python需要去除SSL验证:
import ssl
# 获取网页
ssl._create_default_https_context = ssl._create_unverified_context  # 去除低版本Python验证SSL证书行为

response = urllib.request.urlopen(url)
html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
html_string = str(html)  # 转换成string,可以直接向数据库添加

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1.  单分类爬:

from bs4 import BeautifulSoup
import urllib.request
import requests
import os
import re


# 保存文章里面的图片
def down(url, num):

    # 获取网页
    response = urllib.request.urlopen(url)
    html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
    html_string = str(html)  # 转换成string,可以直接向数据库添加

    soup = BeautifulSoup(html_string, "html.parser")  # 解析网页标签

    # 匹配抓取区域
    # 该div的class由img和aImg两种,要判断一下
    pid = soup.findAll('div', {"class": "img"})
    if len(pid) == 0:
        pid = soup.findAll('div', {"class": "aImg"})
        pass

    print(pid)

    pid2 = soup.find("article").find("h1")  # 本篇文章的标题
    # 清除html标签
    pattern = re.compile(r'<[^>]+>', re.S)
    txt = pattern.sub('', str(pid2))
    print(txt)

    for img_html in pid:
        img_src = img_html.find('img')['src']

        root = "D:/python/do/spider/guojiadili/" + txt + "/"  # 没有最后一级文件夹目录则会自动创建
        img_name = img_src.split("/")[-1].replace('@!rw9', '').replace('@!rw14', '').replace('@!rw7', '').replace('@!rw8', '').replace('@!rw10', '').replace('@!rw11', '').replace('@!rw12', '').replace('@!rw13', '').replace('@!rw6', '').replace('@!rw5', '').replace('@!rw4', '').replace('@!rw3', '').replace('@!rw2', '').replace('@!rw1', '').replace('@!rw15', '').replace('@!rw16', '').replace('@!rw17', '').replace('@!rw18', '').replace('@!rw19', '')  # 去除图片后缀后面的特殊字符串,得到真实图片名
        print(img_name)
        path = root + img_name  # 保存文件的名字

        # 保存图片到本地
        try:
            if not os.path.exists(root):
                os.mkdir(root)
            if not os.path.exists(path):
                r = requests.get(img_src)
                r.raise_for_status()
                # 使用with语句可以不用自己手动关闭已经打开的文件流
                with open(path, "wb") as f:  # 开始写文件,wb代表写二进制文件
                    f.write(r.content)

                num += 1
                print("保存文件成功=" + str(num))
            else:
                print("文件已存在")
        except Exception as e:
            print("文件保存失败:" + str(e))

        pass

    pass


# down("http://www.dili360.com//article/p549a356731fc659.htm", 0)


# 解析文章目录中所有的文章地址
def list(url, number):
    # 获取网页
    response = urllib.request.urlopen(url)
    html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
    html_string = str(html)  # 转换成string,可以直接向数据库添加

    soup = BeautifulSoup(html_string, "html.parser")  # 解析网页标签

    # 匹配抓取区域
    # pid = soup.find(attrs={"id": "content"})
    pid = soup.findAll('div', {"class": "thumb-img"})
    print(pid)

    print("第" + str(number) + "页")

    for a_html in pid:
        a_href = a_html.find('a')['href']
        print(a_href)

        new_url = "http://www.dili360.com" + a_href  # 文章地址
        print(new_url)
        print(type(new_url))

        down(new_url, 0)  # 获取单个列表中单个文章的图片

        pass
    pass


# list('http://www.dili360.com/Travel/sight/20194/1.htm')


# 解析有多少个文章目录
page = 1  # 起始目录标号
while page <= 14:  # 最大目录标号
    list('http://www.dili360.com/Travel/sight/20247/' + str(page) + '.htm', 1)  # 单个目录地址
    page += 1
    pass
else:
    print("所有文章保存完毕!")

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提示,循环sight/xxxxx.htm可以把整个分类全部爬下来。但是不建议你这样学习。爬个上G图片也没什么用处。

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旅游就去这些古镇吧!

【Python3爬虫-爬图片】爬中国国家地理全站1.7万张图片_第1张图片

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2.  以下是爬单进程爬取全站图片(过几天做图片分用):

from bs4 import BeautifulSoup
import urllib.request
import requests
import os
import re


# 保存文章里面的图片
def down(url, num, file):

    # 获取网页
    response = urllib.request.urlopen(url)
    html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
    html_string = str(html)  # 转换成string,可以直接向数据库添加

    soup = BeautifulSoup(html_string, "html.parser")  # 解析网页标签

    # 匹配抓取区域
    # 该div的class由img和aImg两种,要判断一下
    pid = soup.findAll('div', {"class": "img"})
    if len(pid) == 0:
        pid = soup.findAll('div', {"class": "aImg"})
        pass

    print(pid)

    pid2 = soup.find("article").find("h1")  # 本篇文章的标题
    # 清除html标签
    pattern = re.compile(r'<[^>]+>', re.S)
    txt = pattern.sub('', str(pid2))[0:20]
    print(txt)

    for img_html in pid:
        img_src = img_html.find('img')['src']

        root_file = "D:/python/do/spider/guojiadili/" + file + "/"  # 分类的文件夹
        root = root_file + txt + "/"  # 没有最后一级文件夹目录则会自动创建
        img_name = img_src.split("/")[-1].replace('@!rw9', '').replace('@!rw14', '').replace('@!rw7', '').replace('@!rw8', '').replace('@!rw10', '').replace('@!rw11', '').replace('@!rw12', '').replace('@!rw13', '').replace('@!rw6', '').replace('@!rw5', '').replace('@!rw4', '').replace('@!rw3', '').replace('@!rw2', '').replace('@!rw1', '').replace('@!rw15', '').replace('@!rw16', '').replace('@!rw17', '').replace('@!rw18', '').replace('@!rw19', '')  # 去除图片后缀后面的特殊字符串,得到真实图片名
        print(img_name)
        path = root + img_name  # 保存文件的名字

        # 保存图片到本地
        try:
            if not os.path.exists(root_file):
                os.mkdir(root_file)
            if not os.path.exists(root):
                os.mkdir(root)
            if not os.path.exists(path):
                r = requests.get(img_src)
                r.raise_for_status()
                # 使用with语句可以不用自己手动关闭已经打开的文件流
                with open(path, "wb") as f:  # 开始写文件,wb代表写二进制文件
                    f.write(r.content)

                num += 1
                print("保存文件成功=" + str(num))
            else:
                print("文件已存在")
        except Exception as e:
            print("文件保存失败:" + str(e))

        pass

    pass


# down("http://www.dili360.com//article/p549a356731fc659.htm", 0)


# 解析文章目录中所有的文章地址
def list(url, number):
    print(url)
    # 获取网页
    response = urllib.request.urlopen(url)
    html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
    html_string = str(html)  # 转换成string,可以直接向数据库添加

    soup = BeautifulSoup(html_string, "html.parser")  # 解析网页标签

    try:
        # 匹配抓取区域
        # pid = soup.find(attrs={"id": "content"})
        pid = soup.findAll('div', {"class": "thumb-img"})
        print(pid)

        pid2 = soup.find(attrs={"class": "article-left"}).find("h1")  # 分类的标题
        print(pid2)
        # 清除html标签
        pattern = re.compile(r'<[^>]+>', re.S)
        file = pattern.sub('', str(pid2))[0:20]

        print("第" + str(number) + "页")

        for a_html in pid:
            a_href = a_html.find('a')['href']
            print(a_href)

            new_url = "http://www.dili360.com" + a_href  # 文章地址
            print(new_url)
            print(type(new_url))

            down(new_url, 0, file)  # 获取单个列表中单个文章的图片

            pass
    except:
        print("无该页面")
        pass

    pass


# list('http://www.dili360.com/Travel/sight/20194/1.htm')
# list('http://www.dili360.com/travel/sight/20281.htm', 0)
# list('http://www.dili360.com/travel/sight/' + str(class_num) + '/' + str(1) + '.htm', 1)  # 单个目录地址

def page_class():

    for cla in range(20190, 20290):
        for page in range(1, 30):
            list('http://www.dili360.com/travel/sight/' + str(cla) + '/' + str(page) + '.htm', 1)  # 单个目录地址
            pass
        pass

    pass


page_class()
pass

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3.  以下是多线程爬,有多少个分类就有多少个线程:

from bs4 import BeautifulSoup
import urllib.request
import requests
import os
import re
import time
import _thread


# 保存文章里面的图片
def down(url, num, file):

    # 获取网页
    response = urllib.request.urlopen(url)
    html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
    html_string = str(html)  # 转换成string,可以直接向数据库添加

    soup = BeautifulSoup(html_string, "html.parser")  # 解析网页标签

    # 匹配抓取区域
    # 该div的class由img和aImg两种,要判断一下
    pid = soup.findAll('div', {"class": "img"})
    if len(pid) == 0:
        pid = soup.findAll('div', {"class": "aImg"})
        pass

    print(pid)

    pid2 = soup.find("article").find("h1")  # 本篇文章的标题
    # 清除html标签
    pattern = re.compile(r'<[^>]+>', re.S)
    txt = pattern.sub('', str(pid2))[0:20]
    print(txt)

    for img_html in pid:
        img_src = img_html.find('img')['src']

        root_file = "D:/python/do/spider/guojiadili/" + file + "/"  # 分类的文件夹
        root = root_file + txt + "/"  # 没有最后一级文件夹目录则会自动创建
        img_name = img_src.split("/")[-1].replace('@!rw9', '').replace('@!rw14', '').replace('@!rw7', '').replace('@!rw8', '').replace('@!rw10', '').replace('@!rw11', '').replace('@!rw12', '').replace('@!rw13', '').replace('@!rw6', '').replace('@!rw5', '').replace('@!rw4', '').replace('@!rw3', '').replace('@!rw2', '').replace('@!rw1', '').replace('@!rw15', '').replace('@!rw16', '').replace('@!rw17', '').replace('@!rw18', '').replace('@!rw19', '')  # 去除图片后缀后面的特殊字符串,得到真实图片名
        print(img_name)
        path = root + img_name  # 保存文件的名字

        # 保存图片到本地
        try:
            if not os.path.exists(root_file):
                os.mkdir(root_file)
            if not os.path.exists(root):
                os.mkdir(root)
            if not os.path.exists(path):
                r = requests.get(img_src)
                r.raise_for_status()
                # 使用with语句可以不用自己手动关闭已经打开的文件流
                with open(path, "wb") as f:  # 开始写文件,wb代表写二进制文件
                    f.write(r.content)

                num += 1
                print("保存文件成功=" + str(num))
            else:
                print("文件已存在")
        except Exception as e:
            print("文件保存失败:" + str(e))

        pass

    pass


# down("http://www.dili360.com//article/p549a356731fc659.htm", 0)


# 解析文章目录中所有的文章地址
def list(url, number):
    print(url)
    # 获取网页
    response = urllib.request.urlopen(url)
    html = response.read().decode('utf-8')  # 编码格式gb2312,utf-8,GBK
    html_string = str(html)  # 转换成string,可以直接向数据库添加

    soup = BeautifulSoup(html_string, "html.parser")  # 解析网页标签

    try:
        # 匹配抓取区域
        # pid = soup.find(attrs={"id": "content"})
        pid = soup.findAll('div', {"class": "thumb-img"})
        print(pid)

        pid2 = soup.find(attrs={"class": "article-left"}).find("h1")  # 分类的标题
        print(pid2)
        # 清除html标签
        pattern = re.compile(r'<[^>]+>', re.S)
        file = pattern.sub('', str(pid2))[0:20]

        print("第" + str(number) + "页")

        for a_html in pid:
            a_href = a_html.find('a')['href']
            print(a_href)

            new_url = "http://www.dili360.com" + a_href  # 文章地址
            print(new_url)
            print(type(new_url))

            down(new_url, 0, file)  # 获取单个列表中单个文章的图片

            pass
    except:
        print("无该页面")
        pass

    pass


# 单线程爬
# def page_class():
#
#     for cla in range(20190, 20290):
#         for page in range(1, 30):
#             list('http://www.dili360.com/travel/sight/' + str(cla) + '/' + str(page) + '.htm', 1)  # 单个目录地址
#             pass
#         pass
#
#     pass
#
#
# page_class()
# pass


# 多线程爬,有多少个分类就有多少线程
all_thread_num = 0


def page_class(cla, that_num):
    # print("已启动线程=" + str(that_num))
    global all_thread_num
    all_thread_num += 1
    print("线程总数=" + str(all_thread_num))
    for page in range(1, 30):
        list('http://www.dili360.com/travel/sight/' + str(cla) + '/' + str(page) + '.htm', 1)  # 单个目录地址
        pass
    pass


for cla in range(20190, 20291):  # 创建线程
    try:
        _thread.start_new_thread(page_class, (cla, (cla - 20000)))
        # page_class(cla, (cla - 20000))
        pass
    except:
        print("无法启动线程")
        pass
    pass

while 1:
    pass

【Python3爬虫-爬图片】爬中国国家地理全站1.7万张图片_第2张图片

只有17593张图片吗????3342篇有分类的博客游记???怀疑人生!

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