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Crawling Images on Pixabay by Category

An easy to use crawler for making datasets
⭐ Project Home »


Pixabay is an international, copyleft, and free-to-use website for sharing photos, illustrations, vector graphics, film footage, and music.

You can copy, modify, distribute, and use the images, even for commercial purposes, all without asking for permission or giving credits to the artist. (link)

Here we release an easy-to-use crawler. Users can specify image category, resolution, etc. The crawler will crawl the image and the corresponding license.

Prerequisites

  • pip install python-pixabay

Usage

1. Configure pixabay_config.json

  • keywords_file: JSON file of custom category;
  • save_root: Where to store pictures and licenses;
  • pixabay_api_key: Sign up here to get the api key;
  • url_keys: Used to set the resolution.
    • previewURL: Low resolution images with a maximum width or height of 150 px;
    • webformatURL: Medium sized image with a maximum width or height of 640 px;
    • largeImageURL:Scaled image with a maximum width/height of 1280px;
  • npage: The larger the value, the larger the search scope.
{
    "keywords_file": "./keywords.json",
    "save_root": "./Images", 
    "pixabay_api_key": "Your Key",
    "url_keys": "webformatURL",
    "npage":2
}

2.Configure keywords.json

The form is as "Class name" : "Search keyword"

{
    "camera" : "camera",
    "earphone" : "AirPods"
}

3. Run by

python pixabay_crawler.py