instai 0.1.2

Instagram bot framework

instai

Modern asynchronous framework for building Instagram bots with Python.

Create Instagram automation bots with handlers, filters, FSM, dependency injection and async support.

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✨ Features

• ⚡ Fully asynchronous architecture
• 🧩 Event-based handlers
• 🔍 Custom filters
• 💉 Dependency injection system
• 🧠 FSM (Finite State Machine) support
• 🗄 Redis storage support
• 📦 Message and callback event handling
• 🖼 Rich messages with cards and buttons
• 🔌 Webhook-based architecture
• 🐍 Python 3.12+ support

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📦 Installation

Install from PyPI:

pip install -U instai

Or install from source:

git clone https://github.com/zerowkaPy/instai
cd instai

pip install .

🚀 Quick start

Example of a simple Instagram bot:

from fastapi import FastAPI, Request

from instai import Instai, Dispatcher, Message, TextFilter, StateFilter
from instai.fsm import FSMContext

bot = Instai(
    access_token="YOUR_ACCESS_TOKEN",
    ig_id="YOUR_INSTAGRAM_ID")

dp = Dispatcher(bot)

@dp.message(TextFilter("hello"))
async def hello(msg: Message, fsm: FSMContext):
    await fsm.set_state("name")
    await msg.send_message("Type your name")

@dp.message(StateFilter("name"))
async def answer(msg: Message, fsm: FSMContext):
    await fsm.clear()
    await msg.send_message(f"Hello, {msg.text}!")


router = FastAPI()

@router.post("/webhook")
async def webhook(request: Request):
    webhook = await request.json()
    await dp.feed_update(webhook)

🎯 Handlers

Instai uses an event-based handler system.

Example:

from instai import Message

@dp.message()
async def echo(msg: Message):
    await msg.send_message(msg.text)

You can use filters, for example filter that executes handler if the text of user message is "I like Python!":

@dp.message(TextFilter("I like Python!"))
async def hello(msg: Message):
    await msg.send_message("I like it too!")

🔘 Buttons

Create interactive buttons:

from instai import Callback, InlineButton, CallbackFilter

buttons = [
    InlineButton(
        text="Menu 📲",
        payload="menu"
        )
    ]

@dp.callback(CallbackFilter(payload="menu"))
async def go_to_menu(cb: Callback):
    await cb.send_buttons("Go to menu:", buttons)

🃏 Cards

Send rich card messages:

from instai.types import Card


cards = [
    Card(
        title="Nike Air Force 1",
        subtitle="price: 100$",
        image_url="https://example.com/nike-af1.png"
    )
]

@dp.message()
async def shoes(msg: Message):
    await msg.send_cards(cards)

🧠 FSM

Store user states and create conversations

FSM storage can use the default in-memory storage or Redis:

from instai.fsm import RedisStorage

RedisStorage(url="redis://localhost:6379/0")

⚙️ Requirements

Python >= 3.12

Instagram Professional Account

Instagram Graph API access token

Webhook server. For example: FastAPI(as above), aiohttp, Django etc.

📌 Project status

🚧 Currently under active development.

Planned features:

• More Instagram API methods

• Better documentation

• Middleware system

• Testing suite

🤝 Contributing

Contributions are welcome!

Steps:

1. Fork the repository

2. Create a new branch

git checkout -b feature/new-feature

3. Commit changes

git commit -m "Add new feature"

4. Push branch

git push origin feature/new-feature

5. Open Pull Request

📄 License

MIT License

Author

Created by zerowkaPy