Fetching Data from APIs

11. Fetching Data from APIs#

In this recipe you will learn to retrieve data for your visualization projects using APIs (Application Programming Interfaces). This will allow you to leverage the millions of APIs that are available online, with websites like Reddit, X (formerly Twitter), and Facebook offering access to certain data sets through their APIs.

Getting ready#

For this recipe, we will use the Python library requests. If you use pip to manage your Python packages, you can install the requests library using the following command

pip install requests

How to do it#

Import the requests module

import requests

Define the API enpoint from which you want to request the data. For this example, we are goig to use an URL to get GitHub’s public timeline.

url = 'https://api.github.com/events'

Submit a request by using the method get

response = requests.get(url=url)
type(response)

requests.models.Response

Check the status code of the response

print(response.status_code)

Every request sent to a web-server returns a status code indicating what happened. Some common codes relevant to GET requests:

200: Everything went okay, and the result (if any) has been returned.
301: The server is redirecting you to a different endpoint. This can happen when a company switches domain names, or an endpoint name is changed.
400: The server thinks you made a bad request. This happens when you send incorrect data or make other client-side errors.
401: The server thinks you’re not authenticated. Many APIs require login credentials, so this happens when you don’t send the right credentials to access an API.
403: The resource you’re trying to access is forbidden: you don’t have the right permissions to see it.
404: The resource you tried to access wasn’t found on the server.
503: The server is not ready to handle the request.

Parse the response content using text. This will simply show the result as a string.

response.text

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Parse the response content in JSON format using the method json. This will return a list, as we can see by checking the type of the result.

result = response.json()
type(result)

list

Check the first element of the response

result[0]

{'id': '46625537825',
 'type': 'PushEvent',
 'actor': {'id': 182719630,
  'login': 'bi-machine',
  'display_login': 'bi-machine',
  'gravatar_id': '',
  'url': 'https://api.github.com/users/bi-machine',
  'avatar_url': 'https://avatars.githubusercontent.com/u/182719630?'},
 'repo': {'id': 866976722,
  'name': 'code4fukui/fukui-kanko-people-flow-data',
  'url': 'https://api.github.com/repos/code4fukui/fukui-kanko-people-flow-data'},
 'payload': {'repository_id': 866976722,
  'push_id': 22687453936,
  'size': 1,
  'distinct_size': 1,
  'ref': 'refs/heads/main',
  'head': '840b23c97a67d15a3dcd73cb3dd610b171935712',
  'before': '213be382656a3be8b3b1be236032f0c604413c58',
  'commits': [{'sha': '840b23c97a67d15a3dcd73cb3dd610b171935712',
    'author': {'email': 'bi_dev@jig.jp', 'name': 'bi-machine'},
    'message': '🤖 Add new data',
    'distinct': True,
    'url': 'https://api.github.com/repos/code4fukui/fukui-kanko-people-flow-data/commits/840b23c97a67d15a3dcd73cb3dd610b171935712'}]},
 'public': True,
 'created_at': '2025-02-16T21:25:45Z',
 'org': {'id': 16657908,
  'login': 'code4fukui',
  'gravatar_id': '',
  'url': 'https://api.github.com/orgs/code4fukui',
  'avatar_url': 'https://avatars.githubusercontent.com/u/16657908?'}}

nasaKey = "your-key-here"

params = {'api_key': nasaKey}
response = requests.get('https://api.nasa.gov/planetary/apod', params=params)

response

<Response [403]>

response.json()

{'error': {'code': 'API_KEY_INVALID',
  'message': 'An invalid api_key was supplied. Get one at https://api.nasa.gov:443'}}

Fetching Data from APIs

Contents

11. Fetching Data from APIs#

Getting ready#

How to do it#