canopy-scanner 0.1.2

An OSINT tool for intelligence gathering and username enumeration

Canopy is a Python-based OSINT (Open-Source Intelligence) framework designed to help individuals discover, organize, and analyze publicly available information about their own digital footprint.
Note: Canopy was developed and tested exclusively on my own publicly available data as a learning and portfolio project.

Project Goals

• Understand how publicly available information is indexed and exposed online
• Practice structured OSINT methodology using search engines
• Correlate results from multiple sources into meaningful categories
• Demonstrate ethical boundaries and legal awareness in OSINT work

Features

• Multi-platform username enumeration across social media, coding sites, gaming platforms, and more.
• Avoids false positives using fingerprint-based validation.
• Supports local caching of platform fingerprints to speed up scans.
• Multi-threaded, high-performance scanning with optional rate-limiting and delays.
• Generates reports in JSON, CSV, HTML, or TXT formats.
• CLI interface for easy integration into scripts or automation workflows.
• Categorized results for better organization (e.g., social, professional, gaming).

usage: canopy.py [-h] [-u USERNAME] [-U USERNAMES] [-t THREADS] [--timeout TIMEOUT] [--delay DELAY]
                 [--rate-limit RATE_LIMIT] [-c CATEGORIES] [-p PLATFORMS] [--exclude EXCLUDE] [--only-found]
                 [--list-categories] [-o OUTPUT] [-f {json,csv,html,txt}] [-v] [-q] [--print-found]

Canopy - Username Enumeration Tool

options:
  -h, --help            show this help message and exit

Target Options:
  -u, --username USERNAME
                        Username to search for
  -U, --usernames USERNAMES
                        File containing list of usernames (one per line)

Performance Options:
  -t, --threads THREADS
                        Number of concurrent threads (default: 10)
  --timeout TIMEOUT     Request timeout in seconds (default: 10)
  --delay DELAY         Delay between requests in seconds (default: 0)
  --rate-limit RATE_LIMIT
                        Max requests per second (default: unlimited)

Filtering Options:
  -c, --categories CATEGORIES
                        Comma-separated categories to check (e.g., social,gaming)
  -p, --platforms PLATFORMS
                        Comma-separated specific platforms to check
  --exclude EXCLUDE     Comma-separated platforms to exclude
  --only-found          Only show found accounts
  --list-categories     Show all available platform categories and exit

Output Options:
  -o, --output OUTPUT   Output file path
  -f, --format {json,csv,html,txt}
                        Output format: json, csv, html, txt (default: json)
  -v, --verbose         Verbose output
  -q, --quiet           Minimal output (only results)
  --print-found         Print found accounts in real-time

    Examples:
      canopy -u johndoe
      canopy -u johndoe -t 50 --timeout 15
      canopy -u johndoe -o report.json --format json
      canopy -u johndoe --categories social,gaming
      canopy --list-categories

Installation

Clone the repository:

git clone https://github.com/guyvolvo/Canopy.git
cd Canopy

Legal & Ethical Disclaimer

This framework is intended strictly for self-OSINT, educational use, or explicit consent-based research.

This tool should be used to analyze:

• Your own digital footprint
• Accounts, domains, and identifiers you own
• Targets for which you have explicit written permission
• Using this tool against private individuals without consent may violate privacy laws and platform Terms of Service.
• I have no responsibility for misuse of this software.

Canopy collects metadata only, such as:

• Page titles
• URLs
• Search snippets
• Source domain

It does not:

• Bypass CAPTCHAs
• Scrape authenticated content
• Harvest private data
• Enumerate personal contact lists

Theoretical Project Structure (Generated by ChatGPT and Cluade Made for reference so I can follow along and add or remove things as I see fit):

GPT Workflow :

canopy/
├── README.md
├── DISCLAIMER.md
├── methodology/
│ └── osint_methodology.md
├── canopy/
│ ├── query_generator.py
│ ├── collector.py
│ ├── parser.py
│ └── correlator.py
├── output/
│ └── sample_report.md
└── lessons_learned.md\

Claude workflow :

Canopy/
├── main.py # Entry point, CLI interface
├── platforms.json # Platform database
├── query_generator.py # Generate queries from usernames
├── username_checker.py # Check if username exists on platforms
├── data_collector.py # Collect and aggregate data
├── report_generator.py # Format and export results
├── config.py # Configuration settings
├── utils.py # Helper functions
└── requirements.txt # Dependencies\

platforms.json inspired by the Sherlock OSINT project :)

Methodology

• Canopy uses a structured OSINT approach:
• Generate a list of platforms to query (social, professional, gaming).
• Create URL patterns for a target username.
• Validate account existence using HTTP responses, redirects, error messages, and HTML fingerprints.
• Aggregate results into structured reports.
• Optionally store fingerprints locally to avoid redundant requests.
• This ensures high accuracy while reducing false positives.

Best Practices

• Only scan accounts you own or have explicit permission to analyze.
• Use --threads and --rate-limit responsibly to avoid being blocked by platforms.
• Review your JSON/CSV/HTML reports for patterns before taking any action.
• Update platforms.json regularly to include new platforms.
• Periodically refresh fingerprints for platforms that change their 404 pages.