利用python批量爬取百度任意類別的圖片的實現(xiàn)方法
利用python批量爬取百度任意類別的圖片時:
(1):設(shè)置類別名字。
(2):設(shè)置類別的數(shù)目,即每一類別的的圖片數(shù)量。
(3):編輯一個txt文件,命名為name.txt,在txt文件中輸入類別,此類別即為關(guān)鍵字。并將txt文件與python源代碼放在同一個目錄下。

python源代碼:
# -*- 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('正在檢測圖片總數(shù),請稍等.....')
t = 0
i = 1
s = 0
while t < 1000:
Url = url + str(t)
try:
# 這里搞了下
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) # 先利用正則表達(dá)式找到圖片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) # 先利用正則表達(dá)式找到圖片url
print('找到關(guān)鍵詞:' + keyword + '的圖片,即將開始下載圖片...')
for each in pic_url:
print('正在下載第' + str(num + 1) + '張圖片,圖片地址:' + str(each))
try:
if each is not None:
pic = requests.get(each, timeout=7)
else:
continue
except BaseException:
print('錯誤,當(dāng)前圖片無法下載')
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__': # 主函數(shù)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('請輸入每類圖片的下載數(shù)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) # 記錄相關(guān)推薦
print('經(jīng)過檢測%s類圖片共有%d張' % (word, tot))
file = word + '文件'
y = os.path.exists(file)
if y == 1:
print('該文件已存在,請重新輸入')
file = word + '文件夾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)
# 這里搞了下
result = A.get(url, timeout=10, allow_redirects=False)
print(url)
except error.HTTPError as e:
print('網(wǎng)絡(luò)錯誤,請調(diào)整網(wǎng)絡(luò)后重試')
t = t + 60
else:
dowmloadPicture(result.text, word)
t = t + 60
# numPicture = numPicture + tm
print('當(dāng)前搜索結(jié)束,感謝使用')
到此這篇關(guān)于利用python批量爬取百度任意類別的圖片的實現(xiàn)方法的文章就介紹到這了,更多相關(guān)python批量爬取百度圖片內(nèi)容請搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家!
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