pytchat

Pytchat supports several advanced patterns:

• Asyncio context: Use LiveChatAsync for asynchronous workflows.
• Buffering: Use LiveChat to fetch chat with a buffer.
• YouTube API compatibility: Use CompatibleProcessor to get chat data in a format compatible with the official YouTube API.

Install the pytchat library using pip to begin fetching YouTube live chat data.

pip install pytchat

You can retrieve the entire batch of fetched chat items as a JSON string using chat.get().json(). Alternatively, you can iterate through individual chat items and call .json() on each item object.

import pytchat
import time

chat = pytchat.create(video_id="uIx8l2xlYVY")
while chat.is_alive():
    # Get all items in the current batch as a JSON string
    print(chat.get().json())
    
    # OR: Get individual items as JSON strings
    # for c in chat.get().items:
    #     print(c.json())
    
    time.sleep(5)

Use pytchat.create(video_id=...) to initialize a chat session. You can then iterate through chat items using chat.get().sync_items() while the session is active via chat.is_alive().

import pytchat
chat = pytchat.create(video_id="uIx8l2xlYVY")
while chat.is_alive():
    for c in chat.get().sync_items():
        print(f"{c.datetime} [{c.author.name}]- {c.message}")

When using sync_items(), each chat item contains the following fields:

The author field in a chat item is an object containing the following fields: