{
    "info": {
        "author": "Ivan Arar",
        "author_email": "ivan.arar@gmail.com",
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        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: 3.8",
            "Topic :: Software Development :: Build Tools"
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        "description": "# Google Images Search\n\n[![PyPI version](https://badge.fury.io/py/Google-Images-Search.svg)](https://badge.fury.io/py/Google-Images-Search)\n[![Build Status](https://travis-ci.com/arrrlo/Google-Images-Search.svg?branch=master)](https://travis-ci.com/arrrlo/Google-Images-Search)\n[![Codacy Badge](https://api.codacy.com/project/badge/Grade/b3d5259c67ca48a7bfe844b9721b6c19)](https://www.codacy.com/app/arrrlo/Google-Images-Search?utm_source=github.com&utm_medium=referral&utm_content=arrrlo/Google-Images-Search&utm_campaign=Badge_Grade)\n\n![GitHub issues](https://img.shields.io/github/issues/arrrlo/Google-Images-Search.svg)\n![GitHub closed issues](https://img.shields.io/github/issues-closed/arrrlo/Google-Images-Search.svg)\n![GitHub closed pull requests](https://img.shields.io/github/issues-pr-closed/arrrlo/Google-Images-Search.svg)\n\n![PyPI - Python Version](https://img.shields.io/pypi/pyversions/Google-Images-Search.svg)\n![GitHub](https://img.shields.io/github/license/arrrlo/Google-Images-Search.svg?color=blue)\n![GitHub last commit](https://img.shields.io/github/last-commit/arrrlo/Google-Images-Search.svg?color=blue)\n\n## Installation  \n\nBefore you continue you need to setup your Google developers account and project:  \n\n-   Visit [https://console.developers.google.com](https://console.developers.google.com) and among all of the Google APIs enable \"Custom Search API\" for your project.  \n\n-   Visit [https://cse.google.com/cse/all](https://cse.google.com/cse/all) and in the web form where you create/edit your custom search engine enable \"Image search\" option and for \"Sites to search\" option select \"Search the entire web but emphasize included sites\".  \n\nAfter setting up you Google developers account and project you should have your developers API key and project CX.  \n\nInstall package from pypi.org:  \n\n```bash\n> pip install Google-Images-Search\n```\n\n## CLI usage  \n\n```bash\n# without environment variables:\n\n> gimages -k __your_dev_api_key__ -c __your_project_cx__ search -q puppies\n```\n\n```bash\n# with environment variables:\n\n> export GCS_DEVELOPER_KEY=__your_dev_api_key__\n> export GCS_CX=__your_project_cx__\n>\n> gimages search -q puppies\n```\n\n```bash\n# search only (no download and resize):\n\n> gimages search -q puppies\n```\n\n```bash\n# search and download only (no resize):\n\n> gimages search -q puppies -d /path/on/your/drive/where/images/should/be/downloaded\n```\n\n```bash\n# search, download and resize:\n\n> gimages search -q puppies -d /path/ -w 500 -h 500\n```\n\n## Programmatic usage  \n\n```python\nfrom google_images_search import GoogleImagesSearch\n\n# if you don't enter api key and cx, the package will try to search\n# them from environment variables GCS_DEVELOPER_KEY and GCS_CX\ngis = GoogleImagesSearch('your_dev_api_key', 'your_project_cx')\n\n# example: GoogleImagesSearch('ABcDeFGhiJKLmnopqweRty5asdfghGfdSaS4abC', '012345678987654321012:abcde_fghij')\n\n#define search params:\n_search_params = {\n    'q': '...',\n    'num': 1-50,\n    'safe': 'high|medium|off',\n    'fileType': 'jpg|gif|png',\n    'imgType': 'clipart|face|lineart|news|photo',\n    'imgSize': 'huge|icon|large|medium|small|xlarge|xxlarge',\n    'imgDominantColor': 'black|blue|brown|gray|green|pink|purple|teal|white|yellow'\n}\n\n# this will only search for images:\ngis.search(search_params=_search_params)\n\n# this will search and download:\ngis.search(search_params=_search_params, path_to_dir='/path/')\n\n# this will search, download and resize:\ngis.search(search_params=_search_params, path_to_dir='/path/', width=500, height=500)\n\n# search first, then download and resize afterwards\ngis.search(search_params=_search_params)\nfor image in gis.results():\n    image.download('/path/')\n    image.resize(500, 500)\n```\n\n## Inserting custom progressbar function  \n\n```python\nfrom google_images_search import GoogleImagesSearch\n\ndef my_progressbar(url, progress):\n    print(url + ' ' + progress + '%')\n\ngis = GoogleImagesSearch(\n    'your_dev_api_key', 'your_project_cx', progressbar_fn=my_progressbar\n)\n\n...\n```\n\n## Saving to a BytesIO object  \n\n```python\nfrom google_images_search import GoogleImagesSearch\nfrom io import BytesIO\nfrom PIL import Image\n\n# in this case we're using PIL to keep the BytesIO as an image object\n# this way we don't have to wait for disk save / write times\n# the image is simply kept in memory\n# this example should display 3 pictures of puppies!\n\ngis = GoogleImagesSearch('your_dev_api_key', 'your_project_cx')\n\nmy_bytes_io = BytesIO()\n\ngis.search({'q': 'puppies', 'num': 3})\nfor image in gis.results():\n    # here we tell the BytesIO object to go back to address 0\n    my_bytes_io.seek(0)\n\n    # take raw image data\n    raw_image_data = image.get_raw_data()\n\n    # this function writes the raw image data to the object\n    image.copy_to(my_bytes_io, raw_image_data)\n\n    # or without the raw data which will be automatically taken\n    # inside the copy_to() method\n    image.copy_to(my_bytes_io)\n\n    # we go back to address 0 again so PIL can read it from start to finish\n    my_bytes_io.seek(0)\n\n    # create a temporary image object\n    temp_img = Image.open(my_bytes_io)\n\n    # show it in the default system photo viewer\n    temp_img.show()\n```\n\n\n",
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