A Ruby gem to fetch social media share counts for URLs across multiple networks including Facebook, Reddit, and LinkedIn.
Social Shares is a Ruby library that provides an easy way to check how many times a URL has been shared across various social networks. It solves the problem of tracking content popularity and social engagement by fetching share counts from multiple platforms through a simple API.
Ruby developers building applications that need to track social media engagement, such as content management systems, analytics dashboards, or landing pages with social mechanics.
Developers choose Social Shares for its multi-network support, flexible querying methods, and configurable error handling, offering a lightweight and extensible solution without unnecessary dependencies.
Check how many times url was shared in social networks, e.g. share counts
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Covers international networks like Facebook and Reddit, plus regional ones such as VKontakte and Weibo, as listed in the Supported networks section of the README.
Provides methods like `all`, `selected`, and `omit` to retrieve counts from specific networks, with examples in the Advanced usage section for tailored data fetching.
Includes safe methods returning `nil` on errors and bang methods raising exceptions, demonstrated in the Basic usage examples for graceful fallbacks.
Allows setting `timeout` and `open_timeout` per network to handle slow responses, detailed in the Configuring section for reliability.
New providers can be added by creating simple Ruby classes, as outlined in the Contributing guide, making it adaptable to emerging networks.
The README admits Twitter's API is closed, making share counts for Twitter unreliable or unavailable, which is a significant gap for many projects.
Relies on third-party APIs that can change or fail, with no mention of fallback strategies, rate limit handling, or stability guarantees in the documentation.
Fetches data directly each time, which could lead to performance bottlenecks and increased API usage for frequent queries, especially in high-volume applications.