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利用python批量爬取百度任意類別的圖片的實現方法

利用python批量爬取百度任意類別的圖片時:
(1):設定類別名字。
(2):設定類別的數目,即每一類別的的圖片數量。
(3):編輯一個txt檔案,命名為name.txt,在txt檔案中輸入類別,此類別即為關鍵字。並將txt檔案與python原始碼放在同一個目錄下。

利用python批量爬取百度任意類別的圖片的實現方法

python原始碼:

# -*- 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,請稍等.....')
  t = 0
  i = 1
  s = 0
  while t < 1000:
    Url = url + str(t)
    try:
      # 這裡搞了下
      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) # 先利用正則表示式找到圖片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) # 先利用正則表示式找到圖片url
  print('找到關鍵詞:' + 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__': # 主函式入口
  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) # 記錄相關推薦
    print('經過檢測%s類圖片共有%d張' % (word,tot))
    file = word + '檔案'
    y = os.path.exists(file)
    if y == 1:
      print('該檔案已存在,請重新輸入')
      file = word + '資料夾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)
        # 這裡搞了下
        result = A.get(url,timeout=10,allow_redirects=False)
        print(url)
      except error.HTTPError as e:
        print('網路錯誤,請調整網路後重試')
        t = t + 60
      else:
        dowmloadPicture(result.text,word)
        t = t + 60
    # numPicture = numPicture + tm
  print('當前搜尋結束,感謝使用')

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