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Project description

Nubela API Client

This project provides a Python client for interacting with the Nubela API, specifically for querying LinkedIn profiles.

Features

  • Easy-to-use interface for querying Nubela profiles
  • Caching mechanism to store and reuse previous query results
  • Offline mode for development and testing
  • Configurable settings using environment variables

Installation

To install the required dependencies, run:

pip install requests pydantic-settings

Usage

Basic usage

from nubela_api import NubelaAPI, NubelaSettings

Create settings (API key can be set via NUBELA_API_KEY environment variable)

settings = NubelaSettings(api_key="your_api_key_here")

Initialize the API client

api = NubelaAPI(settings=settings, offline=False)

Query a LinkedIn profile

linkedin_url = "https://www.linkedin.com/in/example-profile" response = api.query_linkedin(linkedin_url)

Access the response data

print(response.full_name) print(response.occupation)

Custom parameters

You can pass custom parameters to the API call:

custom_params = { "linkedin_profile_url": "https://www.linkedin.com/in/example-profile", "extra": "include", "skills": "include", } response = api.query(custom_params)

Caching

The client automatically caches responses. To disable caching for a specific query:

response = api.query_linkedin(linkedin_url, use_cache=False)

Offline mode

For development or testing, you can enable offline mode:

api = NubelaAPI(settings=settings, offline=True)

This will raise a ValueError if an API call is attempted.

Configuration

You can configure the API client using environment variables:

Error Handling

The client will raise exceptions for various error conditions:

  • ValueError: If the API key is missing or if trying to make an API call in offline mode
  • OfflineError: Custom exception for offline-related errors (not currently used in the provided code)

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

[Add your chosen license here]

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