Scavio real-time search tools for Composio (Google, YouTube, Amazon, Walmart, Reddit, TikTok, Instagram)
Project description
composio-scavio
Scavio real-time search tools for Composio.
Scavio is a single Search API over Google, YouTube, Amazon, Walmart, Reddit, TikTok, and Instagram. This package exposes those endpoints as a Composio custom toolkit so your agents can pull structured, up-to-date results across any Composio-supported framework (OpenAI, Anthropic, LangChain, CrewAI, and more).
Install
pip install composio-scavio
Setup
Get a Scavio API key from the Scavio Dashboard (new accounts get 50 free credits to start, no credit card). Set it as an environment variable or pass it directly.
export SCAVIO_API_KEY=sk_...
export COMPOSIO_API_KEY=... # from https://app.composio.dev
Usage
from composio import Composio
from composio_scavio import build_scavio_toolkit
composio = Composio()
# Build the toolkit; expose only the providers you need.
scavio = build_scavio_toolkit(
api_key="sk_...", # or rely on SCAVIO_API_KEY
enable_google=True,
enable_amazon=True,
enable_tiktok=False,
)
session = composio.create(
user_id="user_1",
experimental={"custom_toolkits": [scavio]},
)
result = session.tools.execute(
"SCAVIO_GOOGLE_SEARCH",
arguments={"query": "best search API for AI agents", "light_request": True},
)
print(result)
Pass all=True to register every tool regardless of the individual flags.
Tools
All tools are namespaced under the SCAVIO toolkit. Each provider is gated by an enable_* flag.
| Provider | Tools |
|---|---|
SCAVIO_GOOGLE_SEARCH |
|
| Amazon | SCAVIO_AMAZON_SEARCH, SCAVIO_AMAZON_PRODUCT |
| Walmart | SCAVIO_WALMART_SEARCH, SCAVIO_WALMART_PRODUCT |
| YouTube | SCAVIO_YOUTUBE_SEARCH, SCAVIO_YOUTUBE_METADATA |
SCAVIO_REDDIT_SEARCH, SCAVIO_REDDIT_POST |
|
| TikTok | SCAVIO_TIKTOK_PROFILE, SCAVIO_TIKTOK_USER_POSTS, SCAVIO_TIKTOK_VIDEO, SCAVIO_TIKTOK_VIDEO_COMMENTS, SCAVIO_TIKTOK_COMMENT_REPLIES, SCAVIO_TIKTOK_SEARCH_VIDEOS, SCAVIO_TIKTOK_SEARCH_USERS, SCAVIO_TIKTOK_HASHTAG, SCAVIO_TIKTOK_HASHTAG_VIDEOS, SCAVIO_TIKTOK_USER_FOLLOWERS, SCAVIO_TIKTOK_USER_FOLLOWINGS |
SCAVIO_INSTAGRAM_PROFILE, SCAVIO_INSTAGRAM_USER_POSTS, SCAVIO_INSTAGRAM_USER_REELS, SCAVIO_INSTAGRAM_USER_TAGGED, SCAVIO_INSTAGRAM_USER_STORIES, SCAVIO_INSTAGRAM_POST, SCAVIO_INSTAGRAM_POST_COMMENTS, SCAVIO_INSTAGRAM_COMMENT_REPLIES, SCAVIO_INSTAGRAM_SEARCH_USERS, SCAVIO_INSTAGRAM_SEARCH_HASHTAGS, SCAVIO_INSTAGRAM_USER_FOLLOWERS, SCAVIO_INSTAGRAM_USER_FOLLOWINGS |
Credits
Most endpoints cost 1 credit. Reddit and Instagram cost 2 credits each. Google costs 2 credits unless light_request=true (1 credit). See scavio.dev/docs.
Links
- Scavio: https://scavio.dev
- Docs: https://scavio.dev/docs
- Dashboard: https://dashboard.scavio.dev
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 composio_scavio-0.1.0.tar.gz.
File metadata
- Download URL: composio_scavio-0.1.0.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7ef35a4ad316f3cc8065b4a5d72c1b216939fb1ba3905238e334627071b0c0e3
|
|
| MD5 |
7c5be25bc61eb53062dd47cbb508e0db
|
|
| BLAKE2b-256 |
b5ec8cfdf13a3a0c0c6cdc322dba2f10a3508950e61c82d1b26bc5ed62ab7d90
|
File details
Details for the file composio_scavio-0.1.0-py3-none-any.whl.
File metadata
- Download URL: composio_scavio-0.1.0-py3-none-any.whl
- Upload date:
- Size: 6.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
904e222543a2f997a514569f177548e6d90ace4bab35758e99df16a977662c99
|
|
| MD5 |
34b94e1dfcbc2cf4f2d51b8c46d8d488
|
|
| BLAKE2b-256 |
afd385da6ed5be34425d567b37f674c57e00cebcdd86fa994d5716e4ed6070a7
|