WarcDB is an SQLite-based file format that makes web crawl data easier to share and query.
WarcDB is an SQLite-based file format and toolset designed to make web crawl data stored in WARC files easier to share and query. It converts WARC archives into relational SQLite databases, allowing users to analyze web archive subsets using standard SQL queries. The tool solves the problem of accessing and querying large web crawl datasets without requiring distributed systems.
Data engineers, researchers, and archivists working with web crawl data from sources like Common Crawl, WebRecorder, or Archive.org who need to analyze subsets of this data efficiently.
Developers choose WarcDB because it provides a simple, portable way to query web archive data using SQLite, eliminating the need for complex distributed systems. Its integration with existing tools like SQLite-Utils and support for streaming imports from various sources make it practical for real-world use.
WarcDB: Web crawl data as SQLite databases.
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Supports streaming imports from local files, remote URLs, and compressed archives, as shown in examples with mixed sources like Common Crawl segments and WACZ files.
Enables full-text search on response payloads via CLI commands like `warcdb enable-fts` and `warcdb search`, simplifying data discovery without extra setup.
Can import WARC files from WACZ archives created by tools like ArchiveWeb.Page and Browsertrix-Crawler, enhancing compatibility with modern web archiving workflows.
Provides SQL views for HTTP headers (e.g., v_request_http_header), reducing complexity when querying header data from JSON structures in the database.
Based on SQLite, it is not designed for petabyte-scale datasets; the README explicitly states it aims for subsets, not full archives, limiting large-scale analyses.
As a wrapper around SQLite-Utils, it inherits limitations of that tool and may lack advanced customization or features specific to WARC data processing.
With relatively few GitHub stars and being a newer project, it might have less documentation, community contributions, or third-party integrations compared to established tools.