python爬虫爬取彼岸壁纸的全部壁纸

一只码农

爬取目标:www.netbian.com
所需的库:requests
              bs4(BeautifulSoup)
              random
运行环境:win10 64位
              python 3.8.0

使用方法:


然后输入你想爬取的类型,我这里已王者荣耀的壁纸为例:


如果想停止按ctrl+c即可
我这里因为时间问题就没有爬取全部,看看部分


预览图片:


爬取的图片:


代码:

[Python] 纯文本查看 复制代码

import requestsfrom bs4 import BeautifulSoup
import os
import time
import random

import UserAgent

index = 'http://www.netbian.com' # 网站根地址
interval = 0.1 # 爬取图片的间隔时间
firstDir = 'E:/各路语言开发项目/测试' # 总路径,因为不会自动创建文件夹,所以这里自己修改一下即可
classificationDict = {} # 存放网站分类子页面的信息


# 获取页面筛选后的内容列表
def screen(url, select):
    headers = UserAgent.get_headers() # 随机获取一个headers
    html = requests.get(url = url, headers = headers)
    html.encoding = 'gbk' # 网站的编码
    html = html.text
    soup = BeautifulSoup(html, 'lxml')
    return soup.select(select)

# 获取页码
def screenPage(url, select):
    html = requests.get(url = url, headers = UserAgent.get_headers())
    html.encoding = 'gbk'
    html = html.text
    soup = BeautifulSoup(html, 'lxml')
    return soup.select(select)[0].next_sibling.text

# 下载操作
def download(src, name, path):
    if(isinstance(src, str)):
        response = requests.get(src)
        path = path + '/' + name + '.jpg'
        while(os.path.exists(path)): # 若文件名重复
            path = path.split(".")[0] + str(random.randint(2, 17)) + '.' + path.split(".")[1]
        with open(path,'wb') as pic:
            for chunk in response.iter_content(128):
                pic.write(chunk)


# 定位到 1920 1080 分辨率图片               
def handleImgs(links, path):
    for link in links:
        href = link.get('href')
        if(href == 'http://pic.netbian.com/'): # 过滤图片广告
            continue

        # 第一次跳转
        if('http://' in href): # 有极个别图片不提供正确的相对地址
            url = href
        else:
            url = index + href
        select = 'div#main div.endpage div.pic div.pic-down a'
        link = screen(url, select)
        if(link == []):
            print(url + ' 无此图片，爬取失败')
            continue
        href = link[0].get('href')

        # 第二次跳转
        url = index + href

        # 获取到图片了
        select = 'div#main table a img'
        link = screen(url, select)
        if(link == []):
            print(url + " 该图片需要登录才能爬取，爬取失败")
            continue
        name = link[0].get('alt').replace('\t', '').replace('|', '').replace(':', '').replace('\\', '').replace('/', '').replace('*', '').replace('?', '').replace('"', '').replace('<', '').replace('>', '')
        print(name) # 输出下载图片的文件名
        src = link[0].get('src')
        if(requests.get(src).status_code == 404):
            print(url + ' 该图片下载链接404，爬取失败')
            print()
            continue
        print()
        download(src, name, path)
        time.sleep(interval)


# 选择下载分类子页面
def select_classification(choice):
    print('---------------------------')
    print('--------------' + choice + '-------------')
    print('---------------------------')
    secondUrl = classificationDict[choice]['url']
    secondDir = classificationDict[choice]['path']
    
    if(not os.path.exists(secondDir)):
        os.mkdir(secondDir) # 创建分类目录
    
    select = '#main > div.page > span.slh'
    pageIndex = screenPage(secondUrl, select)
    lastPagenum = int(pageIndex) # 获取最后一页的页码
    for i in range(0, lastPagenum):
        if i == 0:
            url = secondUrl
        else:
            url = secondUrl + 'index_%d.htm' %(i+1)
        
        print('--------------' + choice + ': ' + str(i+1) + '-------------')
        path = secondDir + '/' + str(i+1)
        if(not os.path.exists(path)):
            os.mkdir(path) # 创建分类目录下页码目录

        select = 'div#main div.list ul li a'
        links = screen(url, select)
        handleImgs(links, path)


# ui界面，用户选择下载分类
def ui():
    print('--------------netbian-------------')
    print('全部', end=' ')
    for c in classificationDict.keys():
        print(c, end=' ')
    print()
    choice = input('请输入分类名：')
    if(choice == '全部'):
        for c in classificationDict.keys():
            select_classification(c)
    elif(choice not in classificationDict.keys()):
        print("输入错误，请重新输入！")
        print('----')
        ui()
    else:
        select_classification(choice)


# 将分类子页面信息存放在字典中
def init_classification():
    url = index
    select = '#header > div.head > ul > li:nth-child(1) > div > a'
    classifications = screen(url, select)
    for c in classifications:
        href = c.get('href') # 获取的是相对地址
        text = c.string # 获取分类名
        if(text == '4k壁纸'): # 4k壁纸，因权限问题无法爬取，直接跳过
            continue
        secondDir = firstDir + '/' + text # 分类目录
        url = index + href # 分类子页面url
        global classificationDict
        classificationDict[text] = {
            'path': secondDir,
            'url': url
        }


def main():
    if(not os.path.exists(firstDir)):
        os.mkdir(firstDir) # 创建总目录
    init_classification()
    ui()

    
if __name__ == '__main__':
    main()

这个是运行的,还有一个需要配合这个代码使用的文件,否则报错,文件和源码我已经放在附件里了,大家请自行下载
彼岸桌面爬虫.zip (3.69 KB, 下载次数: 931)

2020-4-22 15:59 上传

点击文件名下载附件

netsparker

中途下载断开以后就会重新下载一遍文件,帮你改了一下代码.

[Python] 纯文本查看 复制代码

import requests
from bs4 import BeautifulSoup
import os
import time
import random

import UserAgent

index = 'http://www.netbian.com' # 网站根地址
interval = 0.1 # 爬取图片的间隔时间
firstDir = 'C:/Users/A/Desktop/彼岸桌面爬虫' # 总路径,因为不会自动创建文件夹,所以这里自己修改一下即可
classificationDict = {} # 存放网站分类子页面的信息


# 获取页面筛选后的内容列表
def screen(url, select):
    headers = UserAgent.get_headers() # 随机获取一个headers
    html = requests.get(url = url, headers = headers)
    html.encoding = 'gbk' # 网站的编码
    html = html.text
    soup = BeautifulSoup(html, 'lxml')
    return soup.select(select)

# 获取页码
def screenPage(url, select):
    html = requests.get(url = url, headers = UserAgent.get_headers())
    html.encoding = 'gbk'
    html = html.text
    soup = BeautifulSoup(html, 'lxml')
    return soup.select(select)[0].next_sibling.text

# 下载操作
def download(src, name, path):
    if(isinstance(src, str)):
        response = requests.get(src)
        path = path + '/' + name + '.jpg'
        while(os.path.exists(path)): # 若文件名重复
            path = path.split(".")[0] + str(random.randint(2, 17)) + '.' + path.split(".")[1]
        with open(path,'wb') as pic:
            for chunk in response.iter_content(128):
                pic.write(chunk)


# 定位到 1920 1080 分辨率图片               
def handleImgs(links, path):
    for link in links:
        href = link.get('href')
        if(href == 'http://pic.netbian.com/'): # 过滤图片广告
            continue

        # 第一次跳转
        if('http://' in href): # 有极个别图片不提供正确的相对地址
            url = href
        else:
            url = index + href
        select = 'div#main div.endpage div.pic div.pic-down a'
        link = screen(url, select)
        if(link == []):
            print(url + ' 无此图片，爬取失败')
            continue
        href = link[0].get('href')

        # 第二次跳转
        url = index + href

        # 获取到图片了
        select = 'div#main table a img'
        link = screen(url, select)
        if(link == []):
            print(url + " 该图片需要登录才能爬取，爬取失败")
            continue
        name = link[0].get('alt').replace('\t', '').replace('|', '').replace(':', '').replace('\\', '').replace('/', '').replace('*', '').replace('?', '').replace('"', '').replace('<', '').replace('>', '')
        print(name) # 输出下载图片的文件名
        src = link[0].get('src')
        if(requests.get(src).status_code == 404):
            print(url + ' 该图片下载链接404，爬取失败')
            print()
            continue
        print()
        jpg_path = path + '/' + name + '.jpg'
        if os.path.exists(path):
            continue
        download(src, name, path)
        time.sleep(interval)


# 选择下载分类子页面
def select_classification(choice):
    print('---------------------------')
    print('--------------' + choice + '-------------')
    print('---------------------------')
    secondUrl = classificationDict[choice]['url']
    secondDir = classificationDict[choice]['path']
    
    if(not os.path.exists(secondDir)):
        os.mkdir(secondDir) # 创建分类目录
    
    select = '#main > div.page > span.slh'
    pageIndex = screenPage(secondUrl, select)
    lastPagenum = int(pageIndex) # 获取最后一页的页码
    for i in range(0, lastPagenum):
        if i == 0:
            url = secondUrl
        else:
            url = secondUrl + 'index_%d.htm' %(i+1)
        
        print('--------------' + choice + ': ' + str(i+1) + '-------------')
        path = secondDir + '/' + str(i+1)
        if(not os.path.exists(path)):
            os.mkdir(path) # 创建分类目录下页码目录

        select = 'div#main div.list ul li a'
        links = screen(url, select)
        handleImgs(links, path)


# ui界面，用户选择下载分类
def ui():
    print('--------------netbian-------------')
    print('全部', end=' ')
    for c in classificationDict.keys():
        print(c, end=' ')
    print()
    choice = input('请输入分类名：')
    if(choice == '全部'):
        for c in classificationDict.keys():
            select_classification(c)
    elif(choice not in classificationDict.keys()):
        print("输入错误，请重新输入！")
        print('----')
        ui()
    else:
        select_classification(choice)


# 将分类子页面信息存放在字典中
def init_classification():
    url = index
    select = '#header > div.head > ul > li:nth-child(1) > div > a'
    classifications = screen(url, select)
    for c in classifications:
        href = c.get('href') # 获取的是相对地址
        text = c.string # 获取分类名
        if(text == '4k壁纸'): # 4k壁纸，因权限问题无法爬取，直接跳过
            continue
        secondDir = firstDir + '/' + text # 分类目录
        url = index + href # 分类子页面url
        global classificationDict
        classificationDict[text] = {
            'path': secondDir,
            'url': url
        }


def main():
    if(not os.path.exists(firstDir)):
        os.mkdir(firstDir) # 创建总目录
    init_classification()
    ui()

    
if __name__ == '__main__':
    main()

1185709288

感谢感谢

一只码农

闲着没事干就写了一个python爬虫,大神别喷

skuld

支持一下！

nuoyan

彼岸网壁纸要收费的是不

念所不及

谢谢楼主 学习了

wh1sper

nb，先赞再测

救救123

谢谢，测试一下

一只码农

nuoyan 发表于 2020-4-22 16:11
彼岸网壁纸要收费的是不

免费的也有很多

xinsuren

现在就没有反爬虫的技术吗？