google-images-downloader is a project for easily download tons of images from Google Images with a given query.
Are you mastering your computer vision skills (like me)? Do you need a lot of images to test your models but you don't want to download them by hand? google-images-downloader is here to help you!
Just clone the repository, install the requirements (listed in the requirements.txt file) in your virtual environment and start to use it.
git clone https://github.com/fferrin/google-images-downloader.git
mkvirtualenv -p python3 google-images-venv3
workon google-images-venv3
cd google-images-downloader/
pip install -r requirements.txt
requestsandurllib3: To make the requests to Google Images.lxml: HTML parser.beautifulsoup4: Library for pulling data out of the HTML files and allow ways of navigating, searching and modify the parse tree.
You can start using google-images-downloader just by passing the search that you want, separated by commas. For example:
python3 google-images-downloader.py nyan,cat
This command will download the first 100 results for nyan cat and will store them in $HOME/nyan_cat/ directory.
It also has another options, like:
-l, --limit: Set max number of images to download (default: 100).-o, --output: Set directory where downloaded images will be stored (default: Home directory + query with underscores).-e, --extensions: Set of allowed extensions, separated by commas (default: jpg, jpeg, png, bmp).-L, --logger: Enable logging, stored in downloaded images directory (default: False).-p, --prefix: Set prefix for image filenames.-p, --prefix: Set suffix for image filenames.
- Option to search by page results (urgent!).
- Compress files and send by email (?).
- Compress files and upload to the available cloud storage services (?).
- Suggestions?
google-images-downloader is MIT licensed.