Awesome

pypixoto V1.1

Python SDK for accessing data of Pixoto.com

What is Pixoto.com?

Pixoto.com is an online world famous photo sharing social network for photographers similar to 500px.com, flickr etc. Check out its site for more information.

Why this project (pypixoto)?

I have searched for official API or SDK for pixoto.com but not found anything from where i can access the user's information from pixot.com. That is why i decided to make one. And here it is - Python SDK for accessing user's data from pixoto.com.

Installation

Installation of dependency

pypixoto is using beautifulsoup4. So, before installing pypixoto you need to install beautifulsoup.<br>

pip install beautifulsoup4

sudo pip install beautifulsoup4

Installation of pypixoto

Install using pip

pip install pypixoto

sudo pip install pypixoto

Install using setup.py

STEP 1 : Clone this repository<br>

git clone https://github.com/daxeel/pypixoto.git

STEP 2 : Change working directory<br>

cd pypixoto

STEP 3 : Install pypixoto using setip.py<br>

python setup.py install

Documentation

Now you are ready to work with pypixoto.

Getting the user's information

Initialize pypixoto with targeted username

>>> pyobj = pypixoto.Pixoto('USERNAME')

Now, let's get the full name of this user

>>> pyobj.full_name()

Biography of user

>>> pyobj.about()

Location of user (country)

>>> pyobj.location('country')

Location of user (region)

>>> pyobj.location('region')

Location of user (localoty)

>>> pyobj.location('locality')

Number of awards awarded to user

>>> pyobj.n_awards()

Number of points collected by user

>>> pyobj.n_points()

Number of images posted by user

>>> pyobj.n_images()

Number of followers

>>> pyobj.n_followers()

Number of following

>>> pyobj.n_following()

Getting the information of user's published photos

Syntax

>>> pyobj.get_images_info(N, LIST)

Here, N = Information of how much images you want to get <br> LIST = List of required information <br><br> You can pass the following items to LIST

<table> <tr> <td>title</td> <td>get the title of image</td> </tr> <tr> <td>description</td> <td>get the description of image</td> </tr> <tr> <td>category</td> <td>get the category in which the image is published</td> </tr> <tr> <td>subcategory</td> <td>get the subcategory of image</td> </tr> <tr> <td>tags</td> <td>get the tags</td> </tr> <tr> <td>date_published</td> <td>get the date of image published</td> </tr> <tr> <td>date_taken</td> <td>get the date of image taken</td> </tr> <tr> <td>image_url</td> <td>get direct image link</td> </tr> <tr> <td>data_url</td> <td>get the link to pixoto page of that image</td> </tr> <tr> <td>wins</td> <td>get total wins of image</td> </tr> <tr> <td>losses</td> <td>get total losses of image</td> </tr> <tr> <td>completed_duels</td> <td>get the number of duels completed</td> </tr> <tr> <td>rating</td> <td>get the ratings of image</td> </tr> <tr> <td>cam_company</td> <td>get the campany of camera by which the image is taken</td> </tr> <tr> <td>cam_model</td> <td>get the camera model by which the image is taken</td> </tr> <tr> <td>focal_length</td> <td>get the focal length</td> </tr> <tr> <td>shutter_speed</td> <td>get the shutter speed</td> </tr> <tr> <td>aperture</td> <td>get the aperture setting</td> </tr> <tr> <td>iso_film</td> <td>get the iso</td> </tr> <tr> <td>width</td> <td>get width of actual image</td> </tr> <tr> <td>height</td> <td>get height of actual image</td> </tr> </table>

Example 1

>>> img_info = pyobj.get_recent_images(3, ['title', 'description'])
>>> print img_info
[{
	'description': 'None',
	'title': 'The Path'
}, {
	'description': 'None',
	'title': 'Dawn in Simpsonville'
}, {
	'description': 'None',
	'title': 'The Point'
}]

Example 2

>>> img_info = pyobj.get_images_info(3, ['title', 'description', 'category', 'subcategory', 'tags', 'date_published', 'date_taken', 'image_url', 'data_url', 'wins', 'losses', 'completed_duels', 'rating', 'cam_company', 'cam_model', 'focal_length', 'shutter_speed', 'aperture', 'iso_film', 'width', 'height'])
>>> print img_info
[{
	'category': 'Landscapes',
	'rating': '609.769545742',
	'data_url': 'http://www.pixoto.com/images-photography/landscapes/forests/the-path-5681033682354176',
	'losses': '49',
	'subcategory': 'Forests',
	'date_taken': 'January 8, 2014',
	'tags': "[u'dave sansom', u'maui', u'beautiful skies', u'hana', u'photographs', u'landscape', u'rainforest']",
	'completed_duels': '106',
	'wins': '57',
	'title': 'The Path',
	'cam_model': 'NIKON D810',
	'height': '7360',
	'date_published': 'January 1, 2016',
	'image_url': 'http://lh3.googleusercontent.com/ZEs-B-J5nnzuBcEmWHorYvoznP_JZv8hleL6kI5wAaKw6pQedJxtC1oTtN7tTLu0_I1fDaE2_gQSHoVUUTCkYrU',
	'focal_length': '48.0 mm',
	'cam_company': 'Nikon',
	'iso_film': '500',
	'aperture': 'F7.1',
	'shutter_speed': '1/13 sec',
	'width': '4912',
	'description': 'None'
}, {
	'category': 'Landscapes',
	'rating': '578.684773858',
	'data_url': 'http://www.pixoto.com/images-photography/landscapes/sunsets-and-sunrises/dawn-in-simpsonville-4528745496444928',
	'losses': '41',
	'subcategory': 'Sunsets & Sunrises',
	'date_taken': 'October 8, 2015',
	'tags': "[u'dave sansom', u'golf course', u'dawn', u'beautiful skies', u'sunset', u'golf club', u'louisville', u'university of louisville', u'sunrise', u'morning', u'landscape', u'kentucky']",
	'completed_duels': '100',
	'wins': '59',
	'title': 'Dawn in Simpsonville',
	'cam_model': 'NIKON D810',
	'height': '4912',
	'date_published': 'December 31, 2015',
	'image_url': 'http://lh3.googleusercontent.com/Wx2bOEL7QHj095fth8R30g11jaqezDhV6z4rv_GdfthYzGMad7jNagmdxkxD05r6S44hcetUjaYAjYPsPOvFczWr',
	'focal_length': '31.0 mm',
	'cam_company': 'Nikon',
	'iso_film': '640',
	'aperture': 'F9',
	'shutter_speed': '1/60 sec',
	'width': '7360',
	'description': 'None'
}, {
	'category': 'Landscapes',
	'rating': '509.132686773',
	'data_url': 'http://www.pixoto.com/images-photography/landscapes/sunsets-and-sunrises/the-point-5043316938244096',
	'losses': '48',
	'subcategory': 'Sunsets & Sunrises',
	'date_taken': 'November 17, 2015',
	'tags': "[u'dave sansom', u'maui', u'golf course photographs', u'kapalua', u'beautiful skies', u'landscape']",
	'completed_duels': '100',
	'wins': '52',
	'title': 'The Point',
	'cam_model': 'NIKON D810',
	'height': '7360',
	'date_published': 'December 30, 2015',
	'image_url': 'http://lh3.googleusercontent.com/EyqJ3cHtsQg36G-i2bnzL5Tx-5Md6wMa6Wa_W27K4PoZwDa6yOLOh17sJChDpOUGhAHdQqnhtomW_4S_Dv13JA',
	'focal_length': '18.0 mm',
	'cam_company': 'Nikon',
	'iso_film': '100',
	'aperture': 'F9',
	'shutter_speed': '1/4 sec',
	'width': '4912',
	'description': 'None'
}]