What is Agno?
High-performance Python framework for building agents. Ships a native ScavioTools toolkit for real-time search across Google, YouTube, Amazon, Walmart, Reddit, TikTok, and Instagram.
Searching Amazon Bestsellers with Agno
This integration lets your Agno agent search Amazon Bestsellers in real time via the Scavio API. The agent gets back structured JSON with products, badge, sales_volume, price -- ready for reasoning and decision-making.
Setup
Bash
pip install agno scavioCode Example
Here is a complete Agno agent that searches Amazon Bestsellers using Scavio:
Python
# Generic HTTP integration for Agno
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v1/amazon/search
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"query":"your search query","country":"us"}
#
# Rows come back under data.products.
#
# There is no bestsellers endpoint and Amazon search takes no sort parameter, so this is the marketplace's default ranking for the query, not the Best Sellers chart. Store position per ASIN on each run to see movement.
Full Working Example
A production-ready example with error handling:
Python
# Generic HTTP integration for Agno
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v1/amazon/search
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"query":"your search query","country":"us"}
#
# Rows come back under data.products.
#
# There is no bestsellers endpoint and Amazon search takes no sort parameter, so this is the marketplace's default ranking for the query, not the Best Sellers chart. Store position per ASIN on each run to see movement.
Pricing
Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your Agno integration. Paid plans start at $30/month for higher volumes.