Skip to main content

Emagister API client

Project description

Emagister API client

made-with-python GitHub release (latest by date)

emagisterapi is a python client to retrieve information from Emagister API.

Table of Contents

Installations

Dependencies

emagisterapi requires:

Installation

You can install emagisterapi using pip

pip install emagisterapi

That easy.

Project Motivation

emagisterapi has been created in order to facilitate access to the Emagister API data

Modules

In this version, emagisterapi has only one module:

connect

The connect module includes classes to connect and retrieve resources from Emagister API.

The Courses class:

These are the constructor parameters of the Courses class:

parameter type description values
country str Country of the site where the data comes from es, uk, fr, mx
version str API version. Default: 1.0 1.0 or 2.0
page_size int Number of results per page. Default: 25 >= 1
silent bool If it is True, you will see the log printed on screen. Default: False True or False

The Courses class has one method called get and these are his parameters:

parameter type description values
subset dict or list Subset of fields to retrieve. If None, all fields will be retrieved. Default: None
filters dict Dictionary or list of filters to apply. Default: None See documentation
max_records int Maximum number of records to retrieve. If None, all records will be retrieved. Default: None >= 1

Instructions

To retrieve course from Emagister API, run this code:

from emagapi.connect import Courses

courses_api = Courses(country='uk', page_size=100, silent=False)

subset = {'course_id': 'id',
          'title': 'name',
          'description': 'description',
          'center': 'center_name',
          'type': 'type',
          'price': 'price',
          'start_date': 'start_date',
          'flexible_start': 'flexible_start_date'}

courses = courses_api.get(subset, max_records=25000)

# output (if silent == False)
# GET: https://www.emagister.co.uk/api/1.0/courses?page=1&size=100 [200]
# Records: 100/25000
# GET: https://www.emagister.co.uk/api/1.0/courses?page=2&size=100 [200]
# Records: 200/25000
# GET: https://www.emagister.co.uk/api/1.0/courses?page=3&size=100 [200]
# Records: 300/25000
# GET: https://www.emagister.co.uk/api/1.0/courses?page=4&size=100 [200]
# Records: 400/25000
# ...
# GET: https://www.emagister.co.uk/api/1.0/courses?page=249&size=100 [200]
# Records: 24900/25000
# GET: https://www.emagister.co.uk/api/1.0/courses?page=250&size=100 [200]
# Records: 25000/25000

The result is a list of dictionaries whose keys are the values of subset:

print(courses[0])

# output
# {'course_id': '170648149',
#  'title': 'Advanced Sales Management',
#  'description': 'Discover new tools for turning the art of management into a reliable science. Strengthen...',
#  'center': 'Salessense',
#  'type': 'Course',
#  'price': '£5,995',
#  'start_date': None,
#  'flexible_start': True}

More info

You can read the Emagister API documentation here.

License

Copyright (c) 2019 Cisco Delgado

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Project details


Download files

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

Files for emagisterapi, version 0.4.2
Filename, size File type Python version Upload date Hashes
Filename, size emagisterapi-0.4.2-py3-none-any.whl (6.8 kB) File type Wheel Python version py3 Upload date Hashes View hashes
Filename, size emagisterapi-0.4.2.tar.gz (5.9 kB) File type Source Python version None Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN DigiCert DigiCert EV certificate StatusPage StatusPage Status page