如何在Python中下载谷歌图像搜索结果

Question

之前已经多次询问过这个问题，但所有答案都至少有几年的历史，目前基于不再受支持的ajax.googleapis.com API。

有没有人知道另一种方式？我试图下载大约一百个搜索结果，除了Python API之外，我还尝试了许多基于桌面，基于浏览器或浏览器插件的程序，这些程序都失败了。

谢谢！

Answer 1

使用Google Custom Search来实现您的目标。 请参阅“Python - Download Images from google Image search?”的 @ i08in的回答，它有很好的描述，脚本示例和库引用。

祝你好运！

Answer 2

使用Selenium从Google图片搜索中下载任意数量的图片：

from selenium import webdriver
from selenium.webdriver.common.keys import Keys
import os
import json
import urllib2
import sys
import time

# adding path to geckodriver to the OS environment variable
# assuming that it is stored at the same path as this script
os.environ["PATH"] += os.pathsep + os.getcwd()
download_path = "dataset/"

def main():
    searchtext = sys.argv[1] # the search query
    num_requested = int(sys.argv[2]) # number of images to download
    number_of_scrolls = num_requested / 400 + 1 
    # number_of_scrolls * 400 images will be opened in the browser

    if not os.path.exists(download_path + searchtext.replace(" ", "_")):
        os.makedirs(download_path + searchtext.replace(" ", "_"))

    url = "https://www.google.co.in/search?q="+searchtext+"&source=lnms&tbm=isch"
    driver = webdriver.Firefox()
    driver.get(url)

    headers = {}
    headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36"
    extensions = {"jpg", "jpeg", "png", "gif"}
    img_count = 0
    downloaded_img_count = 0

    for _ in xrange(number_of_scrolls):
        for __ in xrange(10):
            # multiple scrolls needed to show all 400 images
            driver.execute_script("window.scrollBy(0, 1000000)")
            time.sleep(0.2)
        # to load next 400 images
        time.sleep(0.5)
        try:
            driver.find_element_by_xpath("//input[@value='Show more results']").click()
        except Exception as e:
            print "Less images found:", e
            break

    # imges = driver.find_elements_by_xpath('//div[@class="rg_meta"]') # not working anymore
    imges = driver.find_elements_by_xpath('//div[contains(@class,"rg_meta")]')
    print "Total images:", len(imges), "\n"
    for img in imges:
        img_count += 1
        img_url = json.loads(img.get_attribute('innerHTML'))["ou"]
        img_type = json.loads(img.get_attribute('innerHTML'))["ity"]
        print "Downloading image", img_count, ": ", img_url
        try:
            if img_type not in extensions:
                img_type = "jpg"
            req = urllib2.Request(img_url, headers=headers)
            raw_img = urllib2.urlopen(req).read()
            f = open(download_path+searchtext.replace(" ", "_")+"/"+str(downloaded_img_count)+"."+img_type, "wb")
            f.write(raw_img)
            f.close
            downloaded_img_count += 1
        except Exception as e:
            print "Download failed:", e
        finally:
            print
        if downloaded_img_count >= num_requested:
            break

    print "Total downloaded: ", downloaded_img_count, "/", img_count
    driver.quit()

if __name__ == "__main__":
    main()

完整代码为here。

Answer 3

这个怎么样？

https://github.com/hardikvasa/google-images-download

它允许您下载数百张图片，并有大量过滤器可供选择以自定义您的搜索

如果您想每个关键字下载100多张图片，那么您需要安装'selenium'和'chromedriver'。

如果你有pip安装了库或运行setup.py文件，Selenium会自动安装在你的机器上。您还需要在计算机上安装Chrome浏览器。对于chromedriver：

根据您的操作系统下载正确的chromedriver。

在Windows或MAC上如果由于某些原因chromedriver给你带来麻烦，请在当前目录下下载并运行命令。

在Windows上，chromedriver的路径必须采用以下格式：

C：\完整\路径\到\ chromedriver.exe

在Linux上如果您在安装Google Chrome浏览器时遇到问题，请参阅此CentOS或Amazon Linux指南或Ubuntu指南

对于所有操作系统，您必须使用'--chromedriver'或'-cd'参数来指定您在机器中下载的chromedriver的路径。

Answer 4

我一直在使用这个脚本从谷歌搜索下载图像，我一直在使用它们作为我的trainig我的分类器 下面的代码可以下载100个与查询相关的图像

from bs4 import BeautifulSoup
import requests
import re
import urllib2
import os
import cookielib
import json

def get_soup(url,header):
    return BeautifulSoup(urllib2.urlopen(urllib2.Request(url,headers=header)),'html.parser')


query = raw_input("query image")# you can change the query for the image  here
image_type="ActiOn"
query= query.split()
query='+'.join(query)
url="https://www.google.co.in/search?q="+query+"&source=lnms&tbm=isch"
print url
#add the directory for your image here
DIR="Pictures"
header={'User-Agent':"Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/43.0.2357.134 Safari/537.36"
}
soup = get_soup(url,header)


ActualImages=[]# contains the link for Large original images, type of  image
for a in soup.find_all("div",{"class":"rg_meta"}):
    link , Type =json.loads(a.text)["ou"]  ,json.loads(a.text)["ity"]
    ActualImages.append((link,Type))

print  "there are total" , len(ActualImages),"images"

if not os.path.exists(DIR):
            os.mkdir(DIR)
DIR = os.path.join(DIR, query.split()[0])

if not os.path.exists(DIR):
            os.mkdir(DIR)
###print images
for i , (img , Type) in enumerate( ActualImages):
    try:
        req = urllib2.Request(img, headers={'User-Agent' : header})
        raw_img = urllib2.urlopen(req).read()

        cntr = len([i for i in os.listdir(DIR) if image_type in i]) + 1
        print cntr
        if len(Type)==0:
            f = open(os.path.join(DIR , image_type + "_"+ str(cntr)+".jpg"), 'wb')
        else :
            f = open(os.path.join(DIR , image_type + "_"+ str(cntr)+"."+Type), 'wb')


        f.write(raw_img)
        f.close()
    except Exception as e:
        print "could not load : "+img
        print e

Answer 5

对拉维·希拉尼（Ravi Hirani）的回答进行一些改进，最简单的方法是：

from icrawler.builtin import GoogleImageCrawler

google_crawler = GoogleImageCrawler(storage={'root_dir': 'D:\\projects\\data core\\helmet detection\\images'})
google_crawler.crawl(keyword='cat', max_num=100)

来源：https://pypi.org/project/icrawler/

Answer 6

请确保先安装icrawler库，然后使用。

pip install icrawler

from icrawler.builtin import GoogleImageCrawler
google_Crawler = GoogleImageCrawler(storage = {'root_dir': r'write the name of the directory you want to save to here'})
google_Crawler.crawl(keyword = 'sad human faces', max_num = 800)

Answer 7

您需要使用自定义搜索API。这里有一个方便的explorer。我用urllib2。您还需要从开发人员控制台为您的应用程序创建API密钥。

Answer 8

为了充分利用googleimagedownload，请使用pip3 install获取它，然后使用以下包装将其转换为API。基本上你可以看到我作为代码的一部分说下载了10个标记为重复使用的大图像（原始作者的拼写错误）。如果我没有通过说法--k =＆＃34;黄椒＆＃34;它会默认下载10个红辣椒图像。您可以将我提供的字典googleImageDownloader中的默认参数更改为您喜欢的任何内容，只要它们符合开发人员的google_images_download.py即可。

#!/usr/bin/env python3

import sys
import subprocess
import re

def main( arguments ):
  googleImageDownloader = {'s':'large', 'l':'10', 'r':'labled-for-reuse', 'k':'red pepper'}
  for argvitem in arguments[1:]:
    argumentName = re.sub( r'^-(.*)', r'\1', argvitem )
    argumentName = re.sub( r'^-(.*)', r'\1', argumentName )
    argumentName = re.sub( r'(.*)=(.*)', r'\1', argumentName )
    value        = re.sub( r'(.*)=(.*)', r'\2', argvitem )

    googleImageDownloader[argumentName] = value

  callingString = "googleimagesdownload"
  for key, value in googleImageDownloader.items():
    if " " in value:
      value = "\"" + value + "\""

    callingString+= " -" + key + " " + value

  print( callingString )
  statusAndOutputText = subprocess.getstatusoutput( callingString )
  print( statusAndOutputText[1] )

if "__main__" == __name__:
  main( sys.argv )

所以我只需运行上面的imagedownload.py，用 - 或 - ：

传递任何参数

$ python ./imagedownload.py -k="yellow pepper"

获得以下结果：

googleimagesdownload -s large -l 10 -k "yellow pepper" -r labeled-for-reuse

Item no.: 1 --> Item name = yellow pepper
Evaluating...
Starting Download...
Completed Image ====> 1. paprika-vegetables-yellow-red-53008.jpe
Completed Image ====> 2. plant-fruit-orange-food-pepper-produce-vegetable-yellow-peppers-bell-pepper-flowering-plant-yellow-pepper-land-plant-bell-peppers-and-chili-peppers-pimiento-habanero-chili-137913.jpg
Completed Image ====> 3. yellow-bell-pepper.jpg
Completed Image ====> 4. yellow_bell_pepper_group_store.jpg
Completed Image ====> 5. plant-fruit-food-produce-vegetable-yellow-peppers-bell-pepper-persimmon-diospyros-flowering-plant-sweet-pepper-yellow-pepper-land-plant-bell-peppers-and-chili-peppers-pimiento-habanero-chili-958689.jpg
Completed Image ====> 6. 2017-06-28-10-23-21.jpg
Completed Image ====> 7. yellow_bell_pepper_2017_a3.jpg
Completed Image ====> 8. 2017-06-26-12-06-35.jpg
Completed Image ====> 9. yellow-bell-pepper-1312593087h9f.jpg
Completed Image ====> 10. plant-fruit-food-pepper-produce-vegetable-macro-yellow-background-vegetables-peppers-bell-pepper-vitamins-flowering-plant-chili-pepper-annex-yellow-pepper-land-plant-bell-peppers-and-chili-peppers-pimiento-habanero-chili-1358020.jpg

Everything downloaded!
Total Errors: 0

Answer 9

我尝试了许多代码，但没有一个对我有用。我在这里发布我的工作代码。希望它能帮助别人。

我正在使用Python 3.6版并使用 icrawler

首先，您需要在系统中下载icrawler。

然后运行以下代码。

from icrawler.examples import GoogleImageCrawler
google_crawler = GoogleImageCrawler()
google_crawler.crawl(keyword='krishna', max_num=100)

将keyword krishna替换为所需的文本。

注意：-下载的图像需要路径。现在，我使用了放置脚本的相同目录。您可以通过以下代码设置自定义目录。

google_crawler = GoogleImageCrawler('path_to_your_folder')

Answer 10

我正在尝试同时用作this library：命令行工具或python库。它有很多参数来查找具有不同条件的图像。

这些是取自其文档的示例，可以将其用作python库：

from google_images_download import google_images_download   #importing the library

response = google_images_download.googleimagesdownload()   #class instantiation

arguments = {"keywords":"Polar bears,baloons,Beaches","limit":20,"print_urls":True}   #creating list of arguments
paths = response.download(arguments)   #passing the arguments to the function
print(paths)   #printing absolute paths of the downloaded images

或作为命令行工具，如下：

$ googleimagesdownload --k "car" -sk 'red,blue,white' -l 10

您可以使用pip install google_images_download

进行安装

Answer 11

此问题的一个简单解决方案是安装一个名为google_images_download的python软件包

pip install google_images_download

使用此python代码

from google_images_download import google_images_download  

response = google_images_download.googleimagesdownload()
keywords = "apple fruit"
arguments = {"keywords":keywords,"limit":20,"print_urls":True}
paths = response.download(arguments)
print(paths)

调整限制以控制要下载的图像数量

  

但是某些图像可能因为损坏而无法打开

更改 keywords 字符串以获取所需的输出