Download Images With Python Automatically - Web Scraping Tutorial
Learn how we can automatically scrape and download images from Google Images with Python.
#more
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
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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 = \
'https://www.google.com/search?site=&tbm=isch&source=hp&biw=1873&bih=990&'
# 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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