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Search for image using Google Custom Search API and resize & crop the image afterwords

Project description

Google Images Search

PyPI version

Ok, here's the thing, you want to fetch one image from Google Images and you want to resize it and crop it from the middle
This code enables you to do that.

Before you continue you need to setup your Google developers account and project:
(Among all of the Google APIs enable "Custom Search API" for your project)
(In the web form where you create/edit your custom search engine enable "Image search" option and and for "Sites to search" option select "Search the entire web but emphasize included sites")

After setting up you Google developers account and project you should have your developers API key and project CX

CLI usage

# without environment variables:

> gimages -k __your_dev_api_key__ -c __your_project_cx__ search -q puppies
# with environment variables:

> export GCS_DEVELOPER_KEY=__your_dev_api_key__
> export GCS_CX=__your_project_cx__
> gimages search -q puppies
# search only (no download and resize):

> gimages search -q puppies
# search and download only (no resize):

> gimages search -q puppies -d /path/on/your/drive/where/images/should/be/downloaded
# search, download and resize:

> gimages search -q puppies -d /path/ -w 500 -h 500

Programmatic usage

from google_images_search import GoogleImagesSearch

# if you don't enter api key and cx, the package will try to search
# them from environment variables GCS_DEVELOPER_KEY and GCS_CX
gis = GoogleImagesSearch('your_dev_api_key', 'your_project_cx')

# example: GoogleImagesSearch('ABcDeFGhiJKLmnopqweRty5asdfghGfdSaS4abC', '012345678987654321012:abcde_fghij')

#define search params:
search_params = {
    'q': '...',
    'num': 1-50,
    'safe': 'high|medium|off',
    'fileType': 'jpg|gif|png',
    'imgType': 'clipart|face|lineart|news|photo',
    'imgSize': 'huge|icon|large|medium|small|xlarge|xxlarge',
    'searchType': 'image',
    'imgDominantColor': 'black|blue|brown|gray|green|pink|purple|teal|white|yellow'

# this will only search for images:

# this will search and download:, path_to_dir='/path/')

# this will search, download and resize:, path_to_dir='/path/', width=500, height=500)

# search first, then download and resize afterwards
for image in gis.results():'/path/')
    image.resize(500, 500)

Saving to a BytesIO object

from google_images_search import GoogleImagesSearch
from io import BytesIO
from PIL import Image

# in this case we're using PIL to keep the BytesIO as an image object
# this way we don't have to wait for disk save / write times
# the image is simply kept in memory
# this example should display 3 pictures of puppies!

gis = GoogleImagesSearch('your_dev_api_key', 'your_project_cx')

my_bytes_io = BytesIO(){'q': 'puppies', 'num': 3})
for image in gis.results():
    # here we tell the BytesIO object to go back to address 0

    # take raw image data
    raw_image_data = image.get_raw_data()

    # this function writes the raw image data to the object
    image.copy_to(my_bytes_io, raw_image_data)

    # or without the raw data which will be automatically taken
    # inside the copy_to() method

    # we go back to address 0 again so PIL can read it from start to finish

    # create a temporary image object
    temp_img =

    # show it in the default system photo viewer

Project details

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