chrome-history

You can search Chrome history by parsing natural-language queries to extract date ranges, keywords, and site constraints. The tool queries both desktop SQLite and synced LevelDB browser history, returning clustered markdown results.

Yes, browser history can be filtered by content type. Natural-language queries support filtering Chrome history for articles, reading, research, and code sites, grouping results into categories with timestamps and URLs.

Querying synced mobile history requires reading LevelDB data. The tool unifies desktop SQLite History and synced LevelDB browser history, applying blocklists and deduplication to generate a single set of search results.

Chrome history results are clustered by domain type automatically. After querying the SQLite and LevelDB sources, the tool applies domain clustering and outputs results formatted in markdown with per-item details and domain clusters.

Natural language date ranges like yesterday, today, last week, last month, and last 2 weeks work for Chrome history search. The parser extracts these ranges to filter both desktop and synced mobile browser history data.

A limitation of searching synced mobile browser history is that data must exist in the LevelDB sync files. The tool queries LevelDB alongside desktop SQLite history, but synced data availability depends on Chrome's sync configuration.