social-signals 0.0.1

A package for harvesting social signal feeds.

social_signals

Channel the power of data for societal good with social_signals: the definitive Python toolkit for ethically sourcing and interpreting the social pulse of the digital world.

About social_signals

In a data-driven world, the social_signals toolkit is an indispensable ally for developers and researchers who need to harvest public data efficiently and ethically. Built with the modern data product builder in mind, it serves as a pragmatic, yet principled, gateway to understanding societal trends, opinions, and movements. social_signals delivers the power to tap into a wealth of social signal feeds while ensuring compliance with the highest standards of data ethics and privacy.

Features

• Extensible Data Connectors: Effortlessly connect to a variety of data sources with built-in support for APIs, databases, and creative data retrieval methods.
• Ethical Data Harvesting: Compliant with legal frameworks, we ensure the data is sourced responsibly and ethically.
• User-Centric Design: Built for Python-savvy data product builders, focusing on efficiency and performance.

Installation

To install the package, use Poetry:

poetry add social_signals

Quick Start

from social_signals import gdelt

# Harvest GDELT articles within a date range and specific criteria
articles_df = gdelt.get_articles(from_date, to_date, event_code, country)

Documentation

Dive deeper into the usage and capabilities of social_signals in our documentation.

Examples

Explore practical examples and use cases in the examples section.

Contributing

Interested in contributing to the social_signals project? Check out our contribution guidelines.

License

social_signals is released under the MIT License.

Join the Movement

social_signals is more than a package; it's a statement. By using it, you join a community dedicated to fostering transparency, progress, and data-driven social innovation. Let's craft a better society together, one data point at a time.