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 Reddit Comments Tree with Agno
This integration lets your Agno agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, authors, scores, depth -- ready for reasoning and decision-making.
Setup
Bash
pip install agno scavioCode Example
Here is a complete Agno agent that searches Reddit Comments Tree using Scavio:
Python
# Generic HTTP integration for Agno
# Point your framework's HTTP request tool at:
#
# POST https://api.scavio.dev/api/v1/reddit/post/comments
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"post_id":"your search query","sort":"TOP"}
#
# Rows come back under data.comments.
#
# Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
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/reddit/post/comments
# Authorization: Bearer sk_live_your_key
# Content-Type: application/json
# {"post_id":"your search query","sort":"TOP"}
#
# Rows come back under data.comments.
#
# Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
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.