m13v/ai-browser-profile-swift-light

Lightweight Swift library to extract browser profile data on macOS — zero external dependencies.

What it extracts

| Source | Data | Browser file | |--------|------|-------------| | Web Data | Autofill fields, addresses, credit cards | Web Data SQLite | | Login Data | Saved accounts, emails, usernames | Login Data SQLite | | History | Top tools/services by visit count | History SQLite | | Bookmarks | Bookmarked domains and services | Bookmarks JSON |

Supported browsers: Arc, Chrome, Brave, Edge.

Install

Swift Package Manager

dependencies: [
    .package(url: "https://github.com/m13v/ai-browser-profile-swift-light.git", from: "0.1.0")
]

Then add "BrowserProfileLight" to your target's dependencies.

Usage

Library

import BrowserProfileLight

// Extract from all detected browsers
let extractor = AutofillExtractor()
let profile = extractor.extractAll()

// Store in SQLite database (compatible with ai-browser-profile Python DB)
let db = try ProfileDatabase()
db.ingestProfile(profile)

// Generate formatted profile text
print(db.profileText())

// Search
let results = db.textSearch(query: "email")
let tagged = db.search(tags: ["identity", "payment"])

CLI

swift run browser-profile-cli                    # print extracted profile
swift run browser-profile-cli --json             # JSON output
swift run browser-profile-cli --db               # extract and store in ~/ai-browser-profile/memories.db
swift run browser-profile-cli --profile          # print profile from existing DB
swift run browser-profile-cli --search "email"   # search existing DB
swift run browser-profile-cli --tags identity    # search by tags
swift run browser-profile-cli --browsers arc chrome  # filter browsers

Requirements

macOS 13+
Swift 5.9+
Full Disk Access (to read browser SQLite files)

Package Metadata

Repository: m13v/ai-browser-profile-swift-light

Default branch: main

README: README.md