An Async and Type Annotated Python Client to Easy Access MagicalAPI.com Service.
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Table of Contents
What is MagicalAPI?
MagicalAPI is your AI edge in content and careers, Your ultimate tool for YouTube SEO, Resume Parsing, LinkedIn data and more.
This is a Python client that provides easy access to the MagicalAPI.com services, fully type annotated, and asynchronous.
This is an example of how you can install the client and use it in your own scripts and projects.
Install package using pip
pip install magicalapi
here are some samples of how to use the client for each service.
At first, you have to create an object of AsyncClient
like this:
from magicalapi.client import AsyncClient
API_KEY = "mag_123456"
client = AsyncClient(api_key=API_KEY)
You can pass the API_KEY
on the code, or put it on a .env
file and the client will read from there.
Example of using .env
file, all settings start with the prefix MAG_
and are case insensitive, so MAG_EXAMPLE
, Mag_example
, and mag_EXAMPLE
are equal.
# .env
MAG_API_KEY="mag_1234567"
So now you can leave api_key
parameter empty.
from magicalapi.client import AsyncClient
client = AsyncClinet()
Here is an example of how to get keywords of Youtube Top Keywords service:
import asyncio
from magicalapi.client import AsyncClient
from magicalapi.types.base import ErrorResponse
search_sentence = "chatgpt 4 turbo" # your search sentence to get keywords related to
country = "1" # use get_countries method to see countries codes (Default = 1 : WorlWide)
language = "1000" # use get_languages method to see countries codes (Default = 1000 : English)
async def main():
# the api_key will load from the .env file
async with AsyncClient() as client:
# Get YouTube keywords
keywords_response = await client.youtube_top_keywords.get_keywords(
search_sentence=search_sentence,
country=country,
language=language,
)
if type(keywords_response) == ErrorResponse:
# got error from API
print("Error :", keywords_response.message)
else:
# got response successfully
print("credits :", keywords_response.usage.credits)
print("keywords count :", len(keywords_response.data.keywords))
# save response in JSON file
with open("keywords_response.json", "w") as file:
file.write(keywords_response.model_dump_json(indent=3))
# get languages list
# languages = await client.youtube_top_keywords.get_languages()
# get countries list
# countries = await client.youtube_top_keywords.get_countries()
asyncio.run(main())
All of the methods in the client have type hints and help to simply use.
For full examples, please see the Examples Directory
Contributions are what makes the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
Here is the Contributing Guidelines. Don't forget to give the project a star! Thanks again!
Distributed under the MIT License. See LICENSE
for more information.