Adobe Soock Scraper

A python/selenium scraper for Adobe Stock Image thumbnails I quickly made for an IA project I have.

Pre-requisite

(Just in case)

• Install Python3.

• Install Google Chrome.

• Download the correct chromedriver for your OS and Chrome version.

• Install selenium (command pip install selenium).

• Install beautiful soup (command pip install beautifulsoup4).

• Find the url on Adobe Stock containing the images you want, by making a search request by example.

How to use

You must first configure the script under the # Script params comment:

• The path to your chromedriver in DRIVER_PATH.
• The path to the directory where images will be stored in output_dir, the script will try to create one if it doesn't exist).
• The url that will be used to scrap images in base_url.
• The maximum number of pages to go through in page_max (for the example url I set up there is a maximum of 4 pages as displayed at the bottom, you might want less than the maximum though).
• (optionnal) the starting page (default is the first one) in page_start (in case you want to start at a given page or if you had to interrupt the script and don't want to start from the beginning).

Once the configuration is done you just need to launch the script:

• Open a shell in the directory containing the script
• Use the command python scraper.py

The selenium chrome should launch and do his thing.

If you encounter any bugs or issues feel free to contact me at jean.roland.gosse@gmail.com