Question

我在文本文件中有一个网址列表。我希望将图像下载到特定文件夹，我该怎么做。是否有任何插件可用于chrome或任何其他程序从网址下载图像

Answer 1

在您的计算机中创建一个文件夹。
将图片网址的文本文件放在文件夹中。
cd到该文件夹。
使用wget -i images.txt
您将在文件夹中找到所有下载的文件。

Answer 2

此功能必须具有错误处理功能，但会重复下载图像以进行图像分类项目

    import requests

    urls = pd.read_csv('cat_urls.csv') #save the url list as a dataframe

    rows = []

    for index, i in urls.iterrows():
        rows.append(i[-1])

    counter = 0

    for i in rows:
    

    file_name = 'cat' + str(counter) + '.jpg'
    
        print(file_name)
        response = requests.get(i)
        file = open(file_name, "wb")
        file.write(response.content)
        file.close()
        counter += 1

Answer 3

import os
import time
import sys
import urllib
from progressbar import ProgressBar

def get_raw_html(url):
    version = (3,0)
    curr_version = sys.version_info
    if curr_version >= version:     #If the Current Version of Python is 3.0 or above
        import urllib.request    #urllib library for Extracting web pages
        try:
            headers = {}
            headers['User-Agent'] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17"
            request = urllib.request.Request(url, headers = headers)
            resp = urllib.request.urlopen(request)
            respData = str(resp.read())
            return respData
        except Exception as e:
            print(str(e))
    else:                        #If the Current Version of Python is 2.x
        import urllib2
        try:
            headers = {}
            headers['User-Agent'] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17"
            request = urllib2.Request(url, headers = headers)
            try:
                response = urllib2.urlopen(request)
            except URLError: # Handling SSL certificate failed
                context = ssl._create_unverified_context()
                response = urlopen(req,context=context)
            #response = urllib2.urlopen(req)
            raw_html = response.read()
            return raw_html    
        except:
            return"Page Not found"


def next_link(s):
    start_line = s.find('rg_di')
    if start_line == -1:    #If no links are found then give an error!
        end_quote = 0
        link = "no_links"
        return link, end_quote
    else:
        start_line = s.find('"class="rg_meta"')
        start_content = s.find('"ou"',start_line+1)
        end_content = s.find(',"ow"',start_content+1)
        content_raw = str(s[start_content+6:end_content-1])
        return content_raw, end_content


def all_links(page):
    links = []
    while True:
        link, end_content = next_link(page)
        if link == "no_links":
            break
        else:
            links.append(link)      #Append all the links in the list named 'Links'
            #time.sleep(0.1)        #Timer could be used to slow down the request for image downloads
            page = page[end_content:]
    return links

def download_images(links, search_keyword):

    choice = input("Do you want to save the links? [y]/[n]: ")
    if choice=='y' or choice=='Y':
        #write all the links into a test file. 
        f = open('links.txt', 'a')        #Open the text file called links.txt
        for link in links:
            f.write(str(link))
            f.write("\n")
        f.close()   #Close the file 
    num = input("Enter number of images to download (max 100): ")
    counter = 1
    errors=0
    search_keyword = search_keyword.replace("%20","_")
    directory = search_keyword+'/'
    if not os.path.isdir(directory):
        os.makedirs(directory)
    pbar = ProgressBar()
    for link in pbar(links):
        if counter<=int(num):
            file_extension = link.split(".")[-1]
            filename = directory + str(counter) + "."+ file_extension
            #print ("Downloading image: " + str(counter)+'/'+str(num))
            try:
                urllib.request.urlretrieve(link, filename)
            except IOError:
                errors+=1
                #print ("\nIOError on Image" + str(counter))
            except urllib.error.HTTPError as e:
                errors+=1
                #print ("\nHTTPError on Image"+ str(counter))
            except urllib.error.URLError as e:
                errors+=1
                #print ("\nURLError on Image" + str(counter))

        counter+=1
    return errors


def search():

    version = (3,0)
    curr_version = sys.version_info
    if curr_version >= version:     #If the Current Version of Python is 3.0 or above
        import urllib.request    #urllib library for Extracting web pages
    else:
        import urllib2 #If current version of python is 2.x

    search_keyword = input("Enter the search query: ")

    #Download Image Links
    links = []
    search_keyword = search_keyword.replace(" ","%20")
    url = 'https://www.google.com/search?q=' + search_keyword+ '&espv=2&biw=1366&bih=667&site=webhp&source=lnms&tbm=isch&sa=X&ei=XosDVaCXD8TasATItgE&ved=0CAcQ_AUoAg'
    raw_html =  (get_raw_html(url))
    links = links + (all_links(raw_html))
    print ("Total Image Links = "+str(len(links)))
    print ("\n")
    errors = download_images(links, search_keyword)
    print ("Download Complete.\n"+ str(errors) +" errors while downloading.")

search()

Answer 4

在此python project中，我在unsplash.com中进行搜索，这为我带来了URL列表，然后将其中的一些（由用户预定义）保存到预定义的文件夹中。看看。

从网址列表中下载图片

4 个答案: