parseboom

Parseboom is an open-source software framework for building and running parsers that extract structured data from unstructured sources such as text, web pages, logs, and documents. It emphasizes modularity and reusability, allowing users to compose small parsing components into data extraction pipelines.

The framework provides a plugin-based parser library and a pipeline-oriented workflow that supports multiple parsing strategies, including grammar-driven parsers, regular expressions, and machine learning based entity extractors. It offers streaming and batch processing, robust error handling, and schema-driven validation of the resulting data. Parsers can be connected to data sinks and transformed through a configurable pipeline before export.

Parseboom includes bindings and adapters for common programming languages and interoperability with standard data formats and storage systems. It supports exporting parsed output to JSON, CSV, or direct ingestion into databases or data warehouses, enabling integration with ETL and data analytics workflows. The project also provides tooling for testing, debugging, and benchmarking parsers to aid development and quality assurance.

The project is community-developed with a public repository and documentation. It is distributed under a permissive open-source license and invites contributions from users to add parsers, templates, and integrations. There is an active ecosystem of example parsers and user-contributed plugins.

Usage scenarios include web scraping, log analysis, data cleansing, and content extraction from documents. Proponents cite flexibility and composability as strengths, while criticisms mention a potential learning curve and performance considerations when handling very large or complex parsing tasks.