Library usage
Maigret’s CLI is a thin wrapper around an async Python API. You can embed Maigret in your own tools, pipelines, and OSINT workflows — no need to shell out.
This page covers the common patterns. For the full argument list of the underlying function, see maigret.checking.maigret in the source.
Installation
pip install maigret
Minimal example
A working end-to-end search against the top 500 sites:
import asyncio
import logging
from maigret import search as maigret_search
from maigret.sites import MaigretDatabase
# Load the bundled site database
db = MaigretDatabase().load_from_path(
"maigret/resources/data.json"
)
# Pick which sites to scan (same filtering the CLI uses)
sites = db.ranked_sites_dict(top=500)
results = asyncio.run(
maigret_search(
username="soxoj",
site_dict=sites,
logger=logging.getLogger("maigret"),
timeout=30,
is_parsing_enabled=True,
)
)
for site_name, result in results.items():
if result["status"].is_found():
print(site_name, result["url_user"])
Key points:
maigret_searchis anasyncfunction — wrap it withasyncio.run(...)orawaitit from inside your own event loop.is_parsing_enabled=Trueturns onsocid_extractorsoresult["ids_data"]is populated with profile fields (bio, linked accounts, uids, etc.).Each entry in the returned dict has a
"status"object withis_found(), plusurl_user,http_status,rank,ids_data, and more.
Filtering sites
ranked_sites_dict accepts the same filters as the CLI:
# All sites tagged as coding, top 200 by rank
sites = db.ranked_sites_dict(top=200, tags=["coding"])
# Exclude NSFW and dating sites
sites = db.ranked_sites_dict(excluded_tags=["nsfw", "dating"])
# Only specific sites by name
sites = db.ranked_sites_dict(names=["GitHub", "Reddit", "VK"])
# Include disabled sites (useful for maintenance / self-check)
sites = db.ranked_sites_dict(disabled=True)
Running inside an existing event loop
If your application already runs an asyncio loop (FastAPI, aiohttp server, a Discord bot, etc.), await maigret_search directly instead of calling asyncio.run:
async def check_username(username: str) -> dict:
results = await maigret_search(
username=username,
site_dict=sites,
logger=logger,
timeout=30,
)
return {
name: r["url_user"]
for name, r in results.items()
if r["status"].is_found()
}
Routing through a proxy
The same proxy / Tor / I2P flags the CLI exposes are plain keyword arguments:
results = await maigret_search(
username="soxoj",
site_dict=sites,
logger=logger,
proxy="socks5://127.0.0.1:1080",
tor_proxy="socks5://127.0.0.1:9050", # used for .onion sites
i2p_proxy="http://127.0.0.1:4444", # used for .i2p sites
timeout=30,
)
Full function signature
async def maigret(
username: str,
site_dict: Dict[str, MaigretSite],
logger,
query_notify=None,
proxy=None,
tor_proxy=None,
i2p_proxy=None,
timeout=30,
is_parsing_enabled=False,
id_type="username",
debug=False,
forced=False,
max_connections=100,
no_progressbar=False,
cookies=None,
retries=0,
check_domains=False,
) -> QueryResultWrapper
See Command line options for a description of each option — the semantics match the CLI flags one-to-one.