pcpartpicker

This is an unofficial Python 3.7+ API for the website pcpartpicker.com. It is written using asynchronous code and multiprocessing for efficient data retrieval. This package is currently in a stable beta.

Installation:

Package retrieval and installation can be easily accomplished through pip.

pip install pcpartpicker

Examples:

In order to use the API, simply import API from the pcpartpicker package.

from pcpartpicker import API

You can then instantiate the API class and use it to make requests.

api = API()
cpu_data = api.retrieve("cpu")
all_data = api.retrieve_all()

A list of supported parts can be obtained in the following manner:

api = API()
print(api.supported_parts)
>>> {'wireless-network-card', 'case-fan', 'cpu', 'cpu-cooler', 'headphones', 'motherboard', 'monitor', 'internal-hard-drive', 'external-hard-drive', 'ups', 'fan-controller', 'case', 'keyboard', 'mouse', 'wired-network-card', 'sound-card', 'video-card', 'speakers', 'optical-drive', 'power-supply', 'thermal-paste', 'memory'}

There are also a number of methods that can be used in order to customize the API behavior. For example, you can change the region, determine the number of concurrent, asynchronous connections that can be made, and can also set whether or not the API can use multiple threads.

Retrieving supported API regions:

api = API()
print(api.supported_regions)
>>> {'be', 'us', 'it', 'uk', 'ie', 'nz', 'de', 'ca', 'au', 'fr', 'se', 'es', 'in'}

Retrieving currently selected region (default is US):

api = API()
print(api.region)
>>> us

Creating an API object with a different default region:

api = API("de")
print(api.region)
>>> de

Changing the default region:

api = API()
api.set_region("de")
print(api.region)
>>> de

Changing the maximum number of allowed concurrent requests:

api = API()
api.set_concurrent_connections(100)
print(api.concurrent_connections)
>>> 100 

Or you can use the concurrent_connections keyword argument for API():

api = API(concurrent_connections=100)
print(api.concurrent_connections)
>>> 100

You can also configure whether or not the API is allowed to use multiple threads or not (default is True):

api = API()
api.set_multithreading(False)
print(api.multithreading)
>>> False

You can also use a keyword argument to configure this behavior:

api = API(multithreading=False)
print(api.multithreading)
>>> False