# megadose/toutatis

Toutatis is a tool that allows you to extract information from instagrams accounts such as e-mails, phone numbers and more

Repository: https://github.com/megadose/toutatis
Canonical: https://ross.abutalabs.com/products/toutatis
Language: Python
License: GPL-3.0
License Family: copyleft
Topics: information-gathering, osint, osint-tools, open-source-intelligence, python, instagram, instagram-scraper
Last push: 2024-12-05T21:46:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2403, "days_push": 636, "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 4240, forks 1351 (observed 2026-08-28T04:08:39.628170+00:00)

## What it is
Toutatis is a Python CLI tool that extracts public information from Instagram accounts, such as emails, phone numbers, follower counts, and profile details, via the Instagram API using a session ID. It supports lookups by username or Instagram user ID.

## Use cases
- look up public email and phone number from an instagram username
- find instagram account info from a user id
- osint investigation of instagram profiles
- check if an instagram account is private or a business account
- retrieve instagram profile picture url and biography

## When to choose
- you need quick CLI-based reconnaissance of instagram accounts
- you want a lightweight pip-installable osint tool for instagram

## When to avoid
- you need bulk scraping or data export at scale
- you don't have an instagram session ID
- you need a GUI or web interface

## Facets
- artifact type: cli-tool
- maturity: active
- function: osint, web-scraping, http-client
- domain: osint, social-media, security
- platform: python, cli, cross-platform
- tags: instagram, information-gathering, open-source-intelligence, scraper

## Member repositories
- megadose/toutatis (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:39.628170+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 2026-08-29T18:22:15.838407+00:00, confidence not recorded.
  - readme: https://github.com/megadose/toutatis (fetched 2026-08-28T04:08:39.628170+00:00, sha 9d5328946cde)
  - registry_pypi: https://pypi.org/pypi/toutatis/json (fetched 2026-08-29T09:12:07.021394+00:00, sha 3f733781db88)
- Data as of 2026-08-30T08:39:29.467469+00:00.