# laramies/metagoofil

Metadata harvester

Repository: https://github.com/laramies/metagoofil
Canonical: https://ross.abutalabs.com/products/metagoofil
Language: Python
License: GPL-2.0
License Family: copyleft
Last push: 2024-03-21T03:45:48+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4038, "days_push": 895, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1313, forks 235 (observed 2026-08-28T04:04:20.329841+00:00)

## What it is
Metagoofil is a Python command-line OSINT tool that searches Google for public documents (pdf, doc, xls, ppt) on target websites, downloads them, and extracts metadata such as usernames, emails, and file paths. It is commonly used during reconnaissance phases of penetration testing.

## Use cases
- harvest metadata from public documents on a target domain
- extract usernames and emails from pdfs and word docs for password attacks
- osint reconnaissance for penetration testing
- find server names and shared resource paths in leaked documents
- download and analyze documents found via google dorks

## When to choose
- you need to enumerate usernames, emails, or internal paths from a target's public documents
- you want a lightweight python recon tool for pentest engagements

## When to avoid
- you need active scanning or exploitation rather than passive metadata collection
- you need a maintained tool with modern search engine support, since Google parsing may break

## Facets
- artifact type: cli-tool
- maturity: maintenance
- function: osint, web-scraping, parser, pdf, security
- domain: security, osint, crawlers, pdf
- platform: python, cli, windows
- tags: metadata-extraction, reconnaissance, pentesting, document-analysis, google-dorks, linux, macos

## Member repositories
- laramies/metagoofil (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:20.329841+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:48:52.456549+00:00, confidence not recorded.
  - readme: https://github.com/laramies/metagoofil (fetched 2026-08-28T04:04:20.329841+00:00, sha 46bc509b6344)
- Data as of 2026-08-30T08:39:29.467469+00:00.