Skip to main content

Access Freshpixl's Fono Api to gain insight into mobile phones

Project description

fonoapi - Python wrapper around Fono Api

The Fono Api is an API which can provide mobile device descriptions such as model, brand, cpu, gpu, dimensions, release date, and more. This package package provides a convenient wrapper around the Fono Api via the requests package.

The API was developed shakee93. This package started off as a fork of a package written by jesusperiago - I added the getlatest method to take advantage of the getlatest API method, and made a lot of under-the-hood organizational changes in order to submit this package to PyPI to make it more easily available.


pip install fonoapi


Before starting, make sure to generate an API token. We are going to start by creating a FonoAPI object, which we initialize with our API token in order to start interacting with the Fono Api:

from fonoapi import FonoAPI
fon = FonoAPI('TOKEN')

Getting devices matching a specific device name

Imagine we have a specific device in mind, say the iPhone 7, that we wish to learn more about. We can use the getdevice method to return information from the API about this specific device:

device = 'iPhone 7'
iPhone_7 = fon.getdevice(device)
| Devices Object: mobile device data|
Number of devices : 4
Input parameters : {'device': 'iPhone 7', 'position': None, 'brand': None}

The getdevice method returns a Devices object, an object that makes it easy to retrieve data from the Fono Api. Printing out the object gives us information on how many devices we retrieved information for, and what parameters were passed to getdevice.

We can output the data in the Devices object in three ways by calling the following methods on the Devices object:

  • dataframe : As a Pandas DataFrame, where each row corresponds to a phone
  • list_of_dicts : As a list of dictionaries, with one dict per phone
  • list_of_lists : As a list of lists, where each sublist corresponds to a phone

Not all mobile devices in the Fono Api have every possible attribute associated with them. In the case of list_of_dicts, only the attributes associated with each phone is included in each phone's dictionary. In the cases of dataframe or list_of_lists, you may choose specific columns to include for every phone (if you don't specify columns to include, all possible columns are included). In this case, devices with no value for a particular column will have values of numpy.nan or None, respectively.

In our case, let's look at the attributes Brand, DeviceName, body_c for the devices returned by our API call:

print(iPhone_7.dataframe(['Brand', 'DeviceName', 'body_c']))
Brand DeviceName body_c
Prestigio Prestigio MultiPhone 7500 None
Prestigio Prestigio MultiPhone 7600 Duo None
Apple Apple iPhone 7 Plus - IP67 certified - dust and water resistant\r...
Apple Apple iPhone 7 - IP67 certified - dust and water resistant\r...
  • There are two non-Apple devices by Prestigio in the list! The model names of the two devices begin with Prestigio MultiPhone 7500, so it's understandable that they would show up when we searched for the string 'iPhone 7'
  • The two Prestigio devices don't have a value for the body_c attribute, so they have NaN values for that column

In order to get rid of the Prestigio devices in our results, all we have to do is specify the brand argument to the getdevice method:

device, brand = 'iPhone 7', 'Apple'
iPhone_7 = (
    .getdevice(device, brand)
    .dataframe(['Brand', 'DeviceName', 'body_c'])
Brand DeviceName body_c
Apple Apple iPhone 7 Plus - IP67 certified - dust and water resistant\r...
Apple Apple iPhone 7 - IP67 certified - dust and water resistant\r...

Getting the latest devices for a specific brand

getlatest will return information about the most recent devices for a given brand. For example, let's imagine that we wish to get data on the lastest mobile devices from Apple:

brand = 'Apple'
latest_apples = (
    .getlatest(brand, limit=5)
    .dataframe(['DeviceName', 'announced', '_3_5mm_jack_', 'talk_time'])
DeviceName announced 3_5mm_jack talk_time
Apple iPad Pro 12.9 2017, June Yes Up to 10 h (multimedia)
Apple iPad Pro 10.5 2017, June Yes Up to 10 h (multimedia)
Apple iPad 9.7 2017, March Yes Up to 10 h (multimedia)
Apple iPhone 8 Not announced yet No None
Apple Watch Series 1 Sport 42mm 2016, September No Up to 3 h 40 min

Finally, perhaps we want to retrieve data on the most recent mobile devices for a whole host of brands ... but we're not sure if we spelled the brand names correctly. By default, when getlatest (or getdevice) don't retrieve any results from the API, they return an empty Devices object. That empty Devices object has a value of True for its null class attribute (and a value of False for its not_null class attribute). For example:

brands = ['Apple', 'Samsung', 'LG', 'Huawei', 'SonyEricsson']
brand_devices = []
for brand in brands:
    devices = fon.getlatest(brand, limit=3)
Could not retrieve brand information for brand SonyEricsson from the Fono API.
# Print out the Devices object for SonyEricsson
| Devices Object: mobile device data|
Number of devices : 0
Input parameters : {'brand': 'SonyEricsson', 'limit': 3}

The problem here is that there is no brand SonyEricsson in the API, the correct name would have been just Ericsson. Let's say that we want to take all of the device information that we stored in brand_devices, a list of Devices object, and create a single Pandas DataFrame:

import pandas as pd
columns = ['Brand', 'DeviceName', 'announced', 'talk_time']
brand_devices = [devices.dataframe(columns) for devices
                 in brand_devices if devices.not_null]
all_brands = pd.concat(brand_devices)
Brand DeviceName announced talk_time
Apple Apple iPad Pro 12.9 2017, June Up to 10 h (multimedia)
Apple Apple iPad Pro 10.5 2017, June Up to 10 h (multimedia)
Apple Apple iPad 9.7 2017, March Up to 10 h (multimedia)
Samsung Samsung Galaxy Tab A 8.0 (2017) Not announced yet NaN
Samsung Samsung Galaxy C10 Not announced yet NaN
Samsung Samsung Galaxy J5 (2017) 2017, June Up to 21 h (3G)
LG LG V30 Not announced yet NaN
LG LG X venture 2017, May Up to 24 h (3G)
LG LG Stylo 3 Plus 2017, May Up to 14 h (3G)
Huawei Huawei MediaPad M3 Lite 8 2017, June NaN
Huawei Huawei Honor 9 2017, June NaN
Huawei Huawei nova 2 plus 2017, May NaN


Pass a valid API token to py.test to run the package's unit tests.

py.test --apitoken <TOKEN>

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

fonoapi-0.1.4.tar.gz (11.5 kB view hashes)

Uploaded source

Built Distribution

fonoapi-0.1.4-py3-none-any.whl (9.6 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page