TikTokLive
A python library to connect to and read events from TikTok's LIVE service
A python library to receive and decode livestream events such as comments and gifts in real-time from TikTok's LIVE service by connecting to TikTok's internal WebCast push service. This library includes a wrapper that connects to the WebCast service using only a user's unique_id and allows you to join your livestream as well as that of other streamers. No credentials are required to use TikTokLive.
This library a Python implementation of the Javascript TikTok-Live-Connector by @zerodytrash meant to serve as an alternative for users who feel more comfortable working in Python or require it for their specific dependancies.
This is not an official API. It's a reverse engineering and research project.
Join the support discord and visit the #support channel for questions, contributions and ideas. Feel free to make pull requests with missing/new features, fixes, etc.
Table of Contents
Primary Information
Resources & Guides
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How to Purchase
First, read more about it on the public TikTokPrinter GitHub page.
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Type "Printer Magic" in the ticket to get started with your purchase.
Intro Tutorial
I cannot recommend this tutorial enough for people trying to get started. It is succinct, informative and easy to understand, created by David Teather, the creator of the Python TikTok-Api package. Click the thumbnail to warp.
Getting Started
- Install the module via pip
pip install TikTokLive
- Create your first chat connection
from TikTokLive import TikTokLiveClient
from TikTokLive.types.events import CommentEvent, ConnectEvent
# Instantiate the client with the user's username
client: TikTokLiveClient = TikTokLiveClient(unique_id="@isaackogz")
# Define how you want to handle specific events via decorator
@client.on("connect")
async def on_connect(_: ConnectEvent):
print("Connected to Room ID:", client.room_id)
# Notice no decorator?
async def on_comment(event: CommentEvent):
print(f"{event.user.nickname} -> {event.comment}")
# Define handling an event via "callback"
client.add_listener("comment", on_comment)
if __name__ == '__main__':
# Run the client and block the main thread
# await client.start() to run non-blocking
client.run()
For more examples, see the examples folder provided in the tree.
Params & Options
To create a new TikTokLiveClient object the following parameter is required. You can optionally add configuration options to this via kwargs.
TikTokLiveClient(unique_id, **options)
| Param Name | Required | Description |
|---|---|---|
| unique_id | Yes | The unique username of the broadcaster. You can find this name in the URL. Example: https://www.tiktok.com/@officialgeilegisela/live => officialgeilegisela |
| debug | No | Whether to fire the "debug" event for receiving raw data |
| **options | No | Here you can set the following optional connection properties. If you do not specify a value, the default value will be used.process_initial_data (default: true) Define if you want to process the initial data which includes old messages of the last seconds. fetch_room_info_on_connect (default: true) Define if you want to fetch all room information on start. If this option is enabled, the connection to offline rooms will be prevented. If enabled, the connect result contains the room info via the room_info attribute. You can also manually retrieve the room info (even in an unconnected state) using the retrieve_room_info() method.enable_extended_gift_info (default: false) Define if you want to receive extended information about gifts like gift name, cost and images which you can retrieve via the available_gifts attribute. polling_interval_ms (default: 1000) Request polling interval. client_params (default: {}) Custom client params for Webcast API. headers (default: {}) Custom request headers passed to aiohttp. timeout_ms (default: 1000)How long to wait before a request should fail loop (default: None)Optionally supply your own asyncio event loop for usage by the client. When set to None, the client pulls the current active loop or creates a new one. This option is mostly useful for people trying to nest asyncio. |
Example Options:
from TikTokLive import TikTokLiveClient
client: TikTokLiveClient = TikTokLiveClient(
unique_id="@oldskoldj", **(
{
# Whether to process initial data (cached chats, etc.)
"process_initial_data": True,
# Connect info (viewers, stream status, etc.)
"fetch_room_info_on_connect": True,
# Whether to get extended gift info (Image URLs, etc.)
"enable_extended_gift_info": True,
# How frequently to poll Webcast API
"polling_interval_ms": 1000,
# Custom Client params
"client_params": {},
# Custom request headers
"headers": {},
# Custom timeout for Webcast API requests
"timeout_ms": 1000,
# Custom Asyncio event loop
"loop": None,
# Whether to trust environment variables that provide proxies to be used in aiohttp requests
"trust_env": False,
# A ProxyContainer object for proxied requests
"proxy_container": None,
# Set the language for Webcast responses (Changes extended_gift's language)
"lang": "en-US"
}
)
)
client.run()
Methods
A TikTokLiveClient object contains the following methods.
| Method Name | Description |
|---|---|
| run | Starts a connection to the live chat while blocking the main thread (sync) |
| start | Connects to the live chat without blocking the main thread (async) |
| stop | Turns off the connection to the live chat. |
| retrieve_room_info | Gets the current room info from TikTok API |
| retrieve_available_gifts | Retrieves a list of the available gifts for the room and adds it to the extended_gift attribute of the Gift object on the gift event, when enabled. |
| add_listener | Adds an asynchronous listener function (or, you can decorate a function with @client.on()) and takes two parameters, an event name and the payload, an AbstractEvent |
| add_proxies | Add proxies to the current list of proxies with a valid aiohttp proxy-url |
| get_proxies | Get the current list of proxies by proxy-url |
| remove_proxies | Remove proxies from the current list of proxies by proxy-url |
| set_proxies_enabled | Set whether or not proxies are enabled (disabled by default) |
Events
A TikTokLiveClient object has the following events. You can add events either by doing client.add_listener("event_name", callable) or by decorating a function with @client.on("event_name") that includes an event payload parameter.
connect
Triggered when the connection gets successfully established.
@client.on("connect")
async def on_connect(event: ConnectEvent):
print("Connected")
disconnect
Triggered when the connection gets disconnected. You can call start() to have reconnect . Note that you should wait a little bit before attempting a reconnect to to avoid being rate-limited.
@client.on("disconnect")
async def on_disconnect(event: DisconnectEvent):
print("Disconnected")
like
Triggered every time someone likes the stream.
@client.on("like")
async def on_like(event: LikeEvent):
print("Someone liked the stream!")
join
Triggered every time a new person joins the stream.
@client.on("join")
async def on_join(event: JoinEvent):
print("Someone joined the stream!")
gift
Triggered every time a gift arrives. Extra information can be gleamed off the available_gifts client attribute.
NOTE: Users have the capability to send gifts in a streak. This increases the
data.gift.repeat_countvalue until the user terminates the streak. During this time new gift events are triggered again and again with an increaseddata.gift.repeat_countvalue. It should be noted that after the end of the streak, another gift event is triggered, which signals the end of the streak viadata.gift.repeat_end:1. This applies only to gifts withdata.gift.gift_type:1. This means that even if the user sends agift_type:1gift only once, you will receive the event twice. Once withrepeat_end:0and once withrepeat_end:1. Therefore, the event should be handled as follows in one of TWO ways:
@client.on("gift")
async def on_gift(event: GiftEvent):
# If it's type 1 and the streak is over
if event.gift.gift_type == 1:
if event.gift.repeat_end == 1:
print(f"{event.user.uniqueId} sent {event.gift.repeat_count}x \"{event.gift.extended_gift.name}\"")
# It's not type 1, which means it can't have a streak & is automatically over
elif event.gift.gift_type != 1:
print(f"{event.user.uniqueId} sent \"{event.gift.extended_gift.name}\"")
@client.on("gift")
async def on_gift(event: GiftEvent):
# If it's type 1 and the streak is over
if event.gift.streakable:
if not event.gift.streaking:
print(f"{event.user.uniqueId} sent {event.gift.repeat_count}x \"{event.gift.extended_gift.name}\"")
# It's not type 1, which means it can't have a streak & is automatically over
else:
print(f"{event.user.uniqueId} sent \"{event.gift.extended_gift.name}\"")
follow
Triggered every time someone follows the streamer.
@client.on("follow")
async def on_follow(event: FollowEvent):
print("Someone followed the streamer!")
share
Triggered every time someone shares the stream.
@client.on("share")
async def on_share(event: ShareEvent):
print("Someone shared the streamer!")
viewer_count_update
Triggered every time the viewer count is updated. This event also updates the cached viewer count by default.
@client.on("viewer_count_update")
async def on_connect(event: ViewerCountUpdateEvent):
print("Received a new viewer count:", event.viewCount)
comment
Triggered every time someone comments on the live
@client.on("comment")
async def on_connect(event: CommentEvent):
print(f"{event.user.nickname} -> {event.comment}")
live_end
Triggered when the live stream gets terminated by the host.
@client.on("live_end")
async def on_connect(event: LiveEndEvent):
print(f"Livestream ended :(")
unknown
Triggered when an unknown event is received that is not yet handled by this client
@client.on("live_end")
async def on_connect(event: UnknownEvent):
print(event.as_dict, "<- This is my data as a dict!")
error
Triggered when there is an error in the client or in error handlers.
If this handler is not present in the code, an internal default handler will log errors in the console. If a handler is added, all error handling (including logging) is up to the individual.
Warning: If you listen for the error event and do not log errors, you will not see when an error occurs.
@client.on("error")
async def on_connect(error: Exception):
# Handle the error
if isinstance(error, SomeRandomError):
print("Handle Some Error")
return
# Otherwise, log the error
client._log_error(error)
Contributors
- Isaac Kogan - Initial work & primary maintainer - isaackogan
- Zerody - Reverse-Engineering & README.md file - Zerody
- David Teather - TikTokLive Introduction Tutorial - davidteather
See the full list of contributors who participated in this project.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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