What is Gemini CLI?
Google's open-source terminal agent for Gemini models. Supports MCP servers and custom tools — plug Scavio in for live web, shopping, and video data.
Searching Reddit Comments Tree with Gemini CLI
This integration lets your Gemini CLI 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
npm install -g @google/gemini-cliCode Example
Here is a complete Gemini CLI agent that searches Reddit Comments Tree using Scavio:
# Generic HTTP integration for Gemini CLI
# 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:
# Generic HTTP integration for Gemini CLI
# 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 Gemini CLI integration. Paid plans start at $30/month for higher volumes.