Download Images With Python Automatically - Web Scraping Tutorial

Learn how to build a basic webscraper with BeautifulSoup and requests. Automatically download images from google for specific key words.

Update: Unfortunately this exact code won't work anymore since google changed the html, but the tutorial should still give you a basic understanding of webscraping with Python and BeautifulSoup.

This is the code (can also be found on GitHub):

import os import json import requests # to sent GET requests from bs4 import BeautifulSoup # to parse HTML # user can input a topic and a number # download first n images from google image search GOOGLE_IMAGE = \ '' # The User-Agent request header contains a characteristic string # that allows the network protocol peers to identify the application type, # operating system, and software version of the requesting software user agent. # needed for google search usr_agent = { 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.11 (KHTML, like Gecko) Chrome/23.0.1271.64 Safari/537.11', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Charset': 'ISO-8859-1,utf-8;q=0.7,*;q=0.3', 'Accept-Encoding': 'none', 'Accept-Language': 'en-US,en;q=0.8', 'Connection': 'keep-alive', } SAVE_FOLDER = 'images' def main(): if not os.path.exists(SAVE_FOLDER): os.mkdir(SAVE_FOLDER) download_images() def download_images(): # ask for user input data = input('What are you looking for? ') n_images = int(input('How many images do you want? ')) print('Start searching...') # get url query string searchurl = GOOGLE_IMAGE + 'q=' + data print(searchurl) # request url, without usr_agent the permission gets denied response = requests.get(searchurl, headers=usr_agent) html = response.text # find all divs where class='rg_meta' soup = BeautifulSoup(html, 'html.parser') results = soup.findAll('div', {'class': 'rg_meta'}, limit=n_images) # extract the link from the div tag imagelinks= [] for re in results: text = re.text # this is a valid json string text_dict= json.loads(text) # deserialize json to a Python dict link = text_dict['ou'] # image_type = text_dict['ity'] imagelinks.append(link) print(f'found {len(imagelinks)} images') print('Start downloading...') for i, imagelink in enumerate(imagelinks): # open image link and save as file response = requests.get(imagelink) imagename = SAVE_FOLDER + '/' + data + str(i+1) + '.jpg' with open(imagename, 'wb') as file: file.write(response.content) print('Done') if __name__ == '__main__': main()

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