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Documentation

  • Introduction
  • Quickstart
  • Google Search API
  • YouTube API
  • Amazon API
  • Walmart API
  • Reddit API
  • TikTok API
  • Instagram API
  • OpenClaw Integration
  • MCP Integration
  • n8n Integration
  • Agno Integration
  • Vercel AI SDK Integration
  • CrewAI Integration
  • Country Codes
  • Rate Limits
  • Errors

Agno Integration

Scavio ships as a native toolkit inside Agno, the high-performance Python framework for building agents. Import ScavioTools and hand it to any Agno Agent to give it real-time search across Google, YouTube, Amazon, Walmart, Reddit, TikTok, and Instagram — one toolkit, one API key, no custom HTTP code.

Prerequisites

  1. Python 3.9 or later.
  2. A Scavio API key from dashboard.scavio.dev.

Install

Bash
pip install agno scavio

The toolkit lives in the agno package itself; the scavio package is the official Python SDK it calls under the hood.

Set your API key

Bash
export SCAVIO_API_KEY=sk_live_your_key

ScavioTools reads SCAVIO_API_KEY from the environment. You can also pass it explicitly: ScavioTools(api_key="sk_live_...").

Quickstart

Python
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.scavio import ScavioTools

agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[ScavioTools()],
    markdown=True,
)

agent.print_response("Find the GitHub repo for the Agno framework and summarize it")

Enable only the providers you need

Every provider is enabled by default. Each is gated by an enable_* flag, so you can expose a lean tool list to the model:

Python
# Web-only agent: Google, YouTube, Reddit
agent = Agent(
    tools=[
        ScavioTools(
            enable_google=True,
            enable_youtube=True,
            enable_reddit=True,
            enable_amazon=False,
            enable_walmart=False,
            enable_tiktok=False,
            enable_instagram=False,
        )
    ],
)

# Or register every tool explicitly
agent = Agent(tools=[ScavioTools(all=True)])

Available tools

Each Scavio endpoint is exposed as a provider-prefixed tool. Tool names match the method names below.

ProviderFlagTools
Googleenable_googlegoogle_search
Amazonenable_amazonamazon_search, amazon_product
Walmartenable_walmartwalmart_search, walmart_product
YouTubeenable_youtubeyoutube_search, youtube_metadata
Redditenable_redditreddit_search, reddit_post
TikTokenable_tiktoktiktok_profile, tiktok_user_posts, tiktok_video, tiktok_video_comments, tiktok_comment_replies, tiktok_search_videos, tiktok_search_users, tiktok_hashtag, tiktok_hashtag_videos, tiktok_user_followers, tiktok_user_followings
Instagramenable_instagraminstagram_profile, instagram_user_posts, instagram_user_reels, instagram_user_tagged, instagram_user_stories, instagram_post, instagram_post_comments, instagram_comment_replies, instagram_search_users, instagram_search_hashtags, instagram_user_followers, instagram_user_followings

How it works

Every tool returns the Scavio response as a JSON string the model can read directly. Errors are caught and returned as {"error": "..."} rather than raised, so a failed call never crashes the agent run. Calls go through the scavio SDK, which handles auth, rate limiting, and request formatting.

Credit costs

Most calls cost 1 credit. Reddit costs 2 credits, and Google costs 2 when light_request=false. See the rate limits reference for plan limits and the errors reference for retry guidance.

Resources

  • Agno documentation
  • Agno on GitHub
  • scavio SDK on PyPI
  • Scavio API quickstart
  • Google Search API reference
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