Unofficial Python Client for Meetstream.ai API
Project description
Unofficial MeetstreamAPI Python Client
The MeetstreamAPI class is a lightweight Python client for interacting with the Meetstream.ai API.
It allows you to create and manage meeting bots, retrieve transcripts, media, chat messages, participants, and more.
Table of Contents
Installation
pip install requests
(Only requests is required.)
Getting Started
from meetstream import MeetstreamAPI # if you save the class in meetstream.py
# Initialize client with your API key
api = MeetstreamAPI(api_key="your_api_key_here")
# Create a new meeting bot
bot_data = api.create_bot(
meeting_link="https://meet.google.com/abc-defg-hij",
bot_name="Meeting Assistant",
bot_message="Hello, team 👋",
custom_attributes={"project": "Alpha"}
)
print("Bot created:", bot_data)
bot_id = bot_data["bot_id"]
transcript_id = bot_data["transcript_id"]
# Get bot status
status = api.get_bot_status(bot_id)
print("Bot status:", status)
# Get transcript
transcript = api.get_transcript(transcript_id)
print("Transcript:", transcript)
# Remove the bot when done
result = api.remove_bot(bot_id)
print("Bot removed:", result)
Authentication
All requests require an API key. You can pass it when initializing the client:
api = MeetstreamAPI(api_key="your_api_key")
Or set it later:
api.set_api_key("your_api_key")
The key is automatically included in all requests via the Authorization header.
API Reference
create_bot(...) → dict
Create a new bot and join a meeting.
Parameters:
meeting_link(str, required) — The meeting URL.bot_name(str, required) — Bot display name.video_required(bool, default=False) — Enable video recording.audio_required(bool, default=False) — Enable audio recording.bot_message(str, optional) — Initial chat message from the bot.bot_image_url(str, optional) — Profile image URL.socket_connection_url(str, optional) — WebSocket endpoint for live updates.live_audio_required(dict, optional) — Config for live audio streaming.live_transcription_required(dict, optional) — Config for live transcription.transcription(dict, optional) — Transcription service settings.custom_attributes(dict, optional) — Any extra metadata you want to store.join_at(str, optional) — Scheduled join time (ISO 8601).callback_url(str, optional) — Webhook callback URL.
Returns:
JSON response with bot_id and transcript_id.
get_bot_status(bot_id: str) → dict
Get current status of a bot.
Parameters:
bot_id(str) — Bot identifier.
Returns: Status info (online/offline, recording status, etc.).
get_bot_details(bot_id: str) → dict
Retrieve detailed information about a bot.
get_bot_audio(bot_id: str) → requests.Response
Download audio recorded by the bot.
Use .content to save the binary data:
audio = api.get_bot_audio(bot_id)
with open("meeting_audio.mp3", "wb") as f:
f.write(audio.content)
get_bot_video(bot_id: str) → requests.Response
Download video recorded by the bot.
Similar to audio, use .content to save.
get_transcript(transcript_id: str, raw: bool = False) → dict
Get meeting transcript.
Parameters:
transcript_id(str) — Transcript identifier.raw(bool, default=False) — IfTrue, returns unprocessed transcript data.
remove_bot(bot_id: str) → dict
Remove a bot from a meeting.
get_speaker_timeline(bot_id: str) → dict
Retrieve speaker timeline (who spoke when).
get_chats(bot_id: str) → dict
Retrieve chat messages captured by the bot.
get_screenshots(bot_id: str) → dict
Retrieve screenshots taken during the meeting.
get_participants(bot_id: str) → dict
Retrieve participant list for a meeting.
Error Handling
All methods raise requests.exceptions.HTTPError if the API returns an error.
Wrap calls in try/except to handle failures:
try:
status = api.get_bot_status("invalid_bot_id")
except requests.exceptions.HTTPError as e:
print("API error:", e.response.json())
Example Workflow
- Create bot → Get
bot_idandtranscript_id. - Monitor status → Poll
get_bot_status(). - Fetch data → Get transcript, audio, video, chats, screenshots.
- Remove bot → Call
remove_bot()once meeting is done.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file meetstream-0.1.0.tar.gz.
File metadata
- Download URL: meetstream-0.1.0.tar.gz
- Upload date:
- Size: 9.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2ff52b43fe264c72e43288515866000587b61636a0431efbd36920531220a857
|
|
| MD5 |
8a6d512c8baeeae2c12861098bfaa946
|
|
| BLAKE2b-256 |
671f1395cea09791664325914bad9e9c80711a10d8f1600a657d919715fbc68c
|
File details
Details for the file meetstream-0.1.0-py3-none-any.whl.
File metadata
- Download URL: meetstream-0.1.0-py3-none-any.whl
- Upload date:
- Size: 9.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
402f81144e7808c50258bfc962cc780c919ae7e8e661aa1e667c66ada1ee2d69
|
|
| MD5 |
04a55806d3e91b86954a0e5f53d036dc
|
|
| BLAKE2b-256 |
34c99a772ebbaa4945475dc148441088b8392365dfa8718f3b5aadf95f7f27d2
|