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maigret/docs/source/library-usage.rst
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.. _library-usage:
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
------------
.. code-block:: bash
pip install maigret
Minimal example
---------------
A working end-to-end search against the top 500 sites:
.. code-block:: python
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_search`` is an ``async`` function — wrap it with ``asyncio.run(...)`` or ``await`` it from inside your own event loop.
- ``is_parsing_enabled=True`` turns on ``socid_extractor`` so ``result["ids_data"]`` is populated with profile fields (bio, linked accounts, uids, etc.).
- Each entry in the returned dict has a ``"status"`` object with ``is_found()``, plus ``url_user``, ``http_status``, ``rank``, ``ids_data``, and more.
Filtering sites
---------------
``ranked_sites_dict`` accepts the same filters as the CLI:
.. code-block:: python
# 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``:
.. code-block:: python
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:
.. code-block:: python
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
-----------------------
.. code-block:: python
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 :doc:`command-line-options` for a description of each option — the semantics match the CLI flags one-to-one.