Chrome History Analysis

This project provides a Python script to analyze Chrome browsing history. It extracts data from Chrome's SQLite database, identifies the most visited URLs and domains, and exports the results to a CSV file for further analysis.

Features

• Automatically copies Chrome's History file to avoid database lock errors.
• Retrieves the top 10 most visited URLs with their titles and visit counts.
• Aggregates visit data by domain for analysis.
• Exports the results to a CSV file (most_visited_domains.csv).

Prerequisites

• Python 3.7 or later
• pandas library

Install dependencies:

pip install pandas

How to Use

1. Locate Chrome’s History File:

• Windows: C:\Users<Username>\AppData\Local\Google\Chrome\User Data\Default\History
• macOS: ~/Library/Application Support/Google/Chrome/Default/History
• Linux: ~/.config/google-chrome/Default/History

2. Run the Script:

• Clone the repository:

git clone https://github.com/Ian729/chrome-history-analysis.git
cd chrome-history-analysis

• Run the script:

python chrome_history_analysis.py

3. View Results:

• Top 10 visited URLs are displayed in the terminal.
• Most visited domains are saved in most_visited_domains.csv.