magicalapi 1.5.0

This is a Python client that provides easy access to the MagicalAPI.com services, fully type annotated, and asynchronous.

MagicalAPI Python Client

An Async and Type Annotated Python Client to Easy Access MagicalAPI.com Service.
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Table of Contents

• What is MagicalAPI?
• Features
• About the Project
• Getting Started
• Usage
• Contributing
• License

What is MagicalAPI?

MagicalAPI is your AI edge in careers and data insights, Your ultimate tool for Resume Parsing, LinkedIn data and more. It offers services like:

• Resume Parsing: Extract structured data from resumes.
• LinkedIn Data Extraction: Scrape and analyze LinkedIn profiles.
• Career Insights: Gain AI-driven recommendations for career development.

Features

• Resume Parsing: Parse resumes to extract key information like skills, experience, and education.
• LinkedIn Profile Scraping: Extract data from LinkedIn profiles for analysis.
• Career Insights: Leverage AI to get actionable career recommendations.
• Type-Annotated and Async: Built for modern Python with type hints and asynchronous support.

About The Project

This is a Python client that provides easy access to the MagicalAPI.com services, fully type annotated, and asynchronous.

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Getting Started

This is an example of how you can install the client and use it in your own scripts and projects.

Installation

Install package using pip

pip install magicalapi

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Usage

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.

Config .env File

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()

Using Webhooks (Optional)

For asynchronous response delivery, you can provide a webhook_url when initializing the client. The API will send the response to your webhook endpoint instead of using the polling mechanism.

from magicalapi.client import AsyncClient

# Your webhook must be whitelisted in MagicalAPI panel
webhook_url = "https://your-domain.com/webhook"
client = AsyncClient(webhook_url=webhook_url)

Important: Webhook domains must be registered in the MagicalAPI panel. For setup guide, see the webhook documentation and example.

Here is an example of how to parse a resume using Resume Parser service:

import asyncio

from magicalapi.client import AsyncClient
from magicalapi.errors import APIServerError, APIServerTimedout
from magicalapi.types.base import ErrorResponse

resume_url = (
    "https://resume-resource.com/wp-content/uploads/00123-sales-professional-resume.pdf"
)
output_file_name = "resume_parser.json"


async def main():
    try:
        # the api_key will load from the .env file
        async with AsyncClient() as client:
            response = await client.resume_parser.get_resume_parser(url=resume_url)

            if isinstance(response, ErrorResponse):
                # got error from api
                print("Error :", response.message)
            else:
                # got response successfully
                print("credists :", response.usage.credits)
                # save response in json file
                with open(output_file_name, "w") as file:
                    file.write(response.model_dump_json(indent=3))

                    print(f"response saved to {output_file_name}")
    except (APIServerError, APIServerTimedout) as e:
        # handling server errors
        print(e)
    except Exception as e:
        print("An error occurred:", str(e))


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

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Contributing

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!

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License

Distributed under the MIT License. See LICENSE for more information.

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