A universal Ruby gem for parsing and normalizing web feeds in multiple formats including Atom, RSS, JSON Feed, HTML with Microformats, and Feed.TXT.
Feedparser is a Ruby gem that acts as a universal web feed parser and normalizer. It reads and processes feeds in multiple formats including Atom, RSS, JSON Feed, HTML with Microformats, and Feed.TXT, converting them into a consistent data structure. This solves the problem of handling diverse feed formats in applications that consume syndicated content.
Ruby developers building applications that need to parse and process web feeds, such as feed readers, content aggregators, or news applications.
Developers choose Feedparser because it provides a single, unified interface for parsing all major web feed formats, eliminating the need to use multiple libraries. Its normalization feature ensures consistent data output regardless of the input format.
feedparser gem - (universal) web feed parser and normalizer (XML w/ Atom or RSS, JSON Feed, HTML w/ Microformats e.g. h-entry/h-feed or Feed.HTML, Feed.TXT w/ YAML, JSON or INI & Markdown, etc.)
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Parses Atom, RSS, JSON Feed, HTML with Microformats (e.g., h-entry/h-feed), Feed.TXT, and more, as detailed in the README, eliminating the need for multiple parsing libraries.
Converts all feed formats into a uniform data structure, simplifying processing and integration in applications, which is a core feature highlighted in the key features.
Designed to handle additional feed formats through a modular parsing system, making it future-proof for emerging standards, as mentioned in the philosophy.
Includes extensive test suites with sample feeds to ensure reliability across formats, reducing bugs and increasing confidence in production use.
As a universal parser supporting multiple formats, it may introduce additional processing time and memory usage compared to optimized, format-specific parsers.
Tied exclusively to Ruby, limiting its use in polyglot projects or teams preferring other languages without complex bridging solutions.
The broad feature set and dependencies might require more configuration and learning curve for simple use cases, especially compared to minimalistic alternatives.