Python批量爬取百度指定类别图片的完整实现方案
本文介绍如何利用Python脚本批量爬取百度指定类别的图片。通过配置关键词文件name.txt、设定每类图片数量,并运行提供的源代码,可实现自动化下载。文章涵盖核心逻辑解析与完整代码示例,帮助开发者快速掌握批量获取网络图片的方法,适用于数据采集与素材收集场景。
爬取配置与准备工作
实现利用Python批量爬取百度任意类别图片的功能,主要包含以下三个关键步骤: (1):定义需要爬取的类别名称。 (2):设定每个类别下需要爬取的具体图片数量。 (3):创建一个名为name.txt的文本文件,在其中输入作为关键字的类别名称。确保该txt文件与Python源代码文件位于同一目录下。

Python核心代码实现
以下是实现该功能的Python源代码:
# -*- coding: utf-8 -*-
"""
Created on Sun Sep 13 21:35:34 2020
@author: ydc
"""
import re
import requests
from urllib import error
from bs4 import BeautifulSoup
import os
num = 0
numPicture = 0
file = ''
List = []
def Find(url, A):
global List
print('正在检测图片总数,请稍等.....')
t = 0
i = 1
s = 0
while t < 1000:
Url = url + str(t)
try:
# 这里搞了下
Result = A.get(Url, timeout=7, allow_redirects=False)
except BaseException:
t = t + 60
continue
else:
result = Result.text
pic_url = re.findall('"objURL":"(.*?)",', result, re.S) # 先利用正则表达式找到图片url
s += len(pic_url)
if len(pic_url) == 0:
break
else:
List.append(pic_url)
t = t + 60
return s
def recommend(url):
Re = []
try:
html = requests.get(url, allow_redirects=False)
except error.HTTPError as e:
return
else:
html.encoding = 'utf-8'
bsObj = BeautifulSoup(html.text, 'html.parser')
div = bsObj.find('div', id='topRS')
if div is not None:
listA = div.findAll('a')
for i in listA:
if i is not None:
Re.append(i.get_text())
return Re
def dowmloadPicture(html, keyword):
global num
# t =0
pic_url = re.findall('"objURL":"(.*?)",', html, re.S) # 先利用正则表达式找到图片url
print('找到关键词:' + keyword + '的图片,即将开始下载图片...')
for each in pic_url:
print('正在下载第' + str(num + 1) + '张图片,图片地址:' + str(each))
try:
if each is not None:
pic = requests.get(each, timeout=7)
else:
continue
except BaseException:
print('错误,当前图片无法下载')
continue
else:
string = file + r'\\' + keyword + '_' + str(num) + '.jpg'
fp = open(string, 'wb')
fp.write(pic.content)
fp.close()
num += 1
if num >= numPicture:
return
if __name__ == '__main__': # 主函数入口
headers = {
'Accept-Language': 'zh-CN,zh;q=0.8,zh-TW;q=0.7,zh-HK;q=0.5,en-US;q=0.3,en;q=0.2',
'Connection': 'keep-alive',
'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64; rv:60.0) Gecko/20100101 Firefox/60.0',
'Upgrade-Insecure-Requests': '1'
}
A = requests.Session()
A.headers = headers
###############################
tm = int(input('请输入每类图片的下载数量 '))
numPicture = tm
line_list = []
with open('./name.txt', encoding='utf-8') as file:
line_list = [k.strip() for k in file.readlines()] # 用 strip()移除末尾的空格
for word in line_list:
url = 'https://image.baidu.com/search/flip?tn=baiduimage&ie=utf-8&word=' + word + '&pn='
tot = Find(url, A)
Recommend = recommend(url) # 记录相关推荐
print('经过检测%s类图片共有%d张' % (word, tot))
file = word + '文件'
y = os.path.exists(file)
if y == 1:
print('该文件已存在,请重新输入')
file = word + '文件夹2'
os.mkdir(file)
else:
os.mkdir(file)
t = 0
tmp = url
while t < numPicture:
try:
url = tmp + str(t)
# result = requests.get(url, timeout=10)
# 这里搞了下
result = A.get(url, timeout=10, allow_redirects=False)
print(url)
except error.HTTPError as e:
print('网络错误,请调整网络后重试')
t = t + 60
else:
dowmloadPicture(result.text, word)
t = t + 60
# numPicture = numPicture + tm
print('当前搜索结束,感谢使用')
至此,关于利用Python批量爬取百度任意类别图片的实现方法介绍完毕。如需了解更多关于Python批量爬取百度图片的内容,建议查阅本站历史文章或继续阅读后续相关教程。感谢大家的支持!
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