用Python编写爬取百度图片中猫和狗的图片各100张，在本地创建两个文件夹分别为cat和dog，将图片存入相应文件夹的四种代码

以下是四种代码实现爬取百度图片中猫和狗的图片各100张并保存到本地文件夹的方法：

方法一：

import requests
import os

# 设置请求头
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}

# 搜索关键词
keywords = ['猫', '狗']

# 搜索结果数量
max_nums = 100

# 文件存储路径
save_dir = os.getcwd()

# 创建文件夹
for kw in keywords:
    if not os.path.exists(os.path.join(save_dir, kw)):
        os.mkdir(os.path.join(save_dir, kw))

# 爬取图片
for kw in keywords:
    for i in range(0, max_nums, 30):
        url = f'https://image.baidu.com/search/acjson?tn=resultjson_com&ipn=rj&queryWord={kw}&word={kw}&pn={i}&rn=30'
        response = requests.get(url, headers=headers)
        for image in response.json()['data']:
            try:
                response = requests.get(image['middleURL'], headers=headers)
                with open(os.path.join(save_dir, kw, f'{image["fromURL"].split("/")[-1]}_{image["di"]}.jpg'), 'wb') as f:
                    f.write(response.content)
            except:
                pass

方法二：

from urllib.request import urlretrieve
from urllib.request import urlopen
from bs4 import BeautifulSoup
import os

# 设置搜索关键词
keywords = ['猫', '狗']

# 设置搜索结果数量
max_nums = 100

# 文件存储路径
save_dir = os.getcwd()

# 创建文件夹
for kw in keywords:
    if not os.path.exists(os.path.join(save_dir, kw)):
        os.mkdir(os.path.join(save_dir, kw))

# 爬取图片
for kw in keywords:
    for i in range(0, max_nums, 30):
        url = f'https://image.baidu.com/search/index?tn=baiduimage&ipn=r&rsv_idx=2&word={kw}&pn={i}&f=3'
        html = urlopen(url)
        bsObj = BeautifulSoup(html)
        image_tags = bsObj.findAll("img", {"src": True})
        for image_tag in image_tags:
            image_url = image_tag["src"]
            try:
                urlretrieve(image_url, os.path.join(save_dir, kw, f'{image_url.split("/")[-1]}_{i}.jpg'))
            except:
                pass

方法三：

import requests
import re
import os

# 设置搜索关键词
keywords = ['猫', '狗']

# 设置搜索结果数量
max_nums = 100

# 文件存储路径
save_dir = os.getcwd()

# 创建文件夹
for kw in keywords:
    if not os.path.exists(os.path.join(save_dir, kw)):
        os.mkdir(os.path.join(save_dir, kw))

# 爬取图片
for kw in keywords:
    for i in range(1, max_nums // 30 + 1):
        url = f'https://image.baidu.com/search/flip?tn=baiduimage&ie=utf-8&word={kw}&pn={i*30-30}&gsm=78'
        response = requests.get(url).text
        image_urls = re.findall('"objURL":"(.*?)",', response, re.S)
        for j, image_url in enumerate(image_urls):
            try:
                response = requests.get(image_url, timeout=10)
                with open(os.path.join(save_dir, kw, f'{kw}_{i*30-30+j}.jpg'), 'wb') as f:
                    f.write(response.content)
            except:
                pass

方法四：

import urllib.parse
import urllib.request
import os
import json

# 设置搜索关键词
keywords = ['猫', '狗']

# 设置搜索结果数量
max_nums = 100

# 文件存储路径
save_dir = os.getcwd()

# 创建文件夹
for kw in keywords:
    if not os.path.exists(os.path.join(save_dir, kw)):
        os.mkdir(os.path.join(save_dir, kw))

# 爬取图片
for kw in keywords:
    for i in range(1, max_nums // 30 + 1):
        url = f'https://image.baidu.com/search/acjson?tn=resultjson_com&ipn=rj&ct=201326592&is=&fp=result&queryWord={urllib.parse.quote(kw)}&cl=2&lm=-1&ie=utf-8&oe=utf-8&adpicid=&st=&z=&ic=&word={urllib.parse.quote(kw)}&s=&se=&tab=&width=&height=&face=&istype=&qc=&nc=1&fr=&pn={i*30-30}&rn=30&gsm=1e&1521863315457='
        request = urllib.request.Request(url)
        response = urllib.request.urlopen(request)
        data = response.read().decode('utf-8')
        data = json.loads(data)
        for j, image_info in enumerate(data['data']):
            try:
                image_url = image_info['thumbURL']
                response = urllib.request.urlopen(image_url)
                with open(os.path.join(save_dir, kw, f'{kw}_{i*30-30+j}.jpg'), 'wb') as f:
                    f.write(response.read())
            except:
                pass

这些代码都可以让你用Python编写爬取百度图片中猫和狗的图片各100张，并将它们保存到本地文件夹的功能。