Integration

RubyLLM + Apple App Store

Search Apple App Store from your RubyLLM agent with Scavio. Get app results, ratings, review counts in structured JSON.

What is RubyLLM?

Unified Ruby gem that wraps OpenAI, Anthropic, Gemini, Bedrock, VertexAI, OpenRouter, DeepSeek, Ollama, Perplexity, Mistral, and xAI behind one API. RubyLLM::Agents ships a Rails engine for production agents with execution tracking, PII redaction, budget enforcement, tenant isolation, and a live dashboard. Call Scavio over HTTP from inside any RubyLLM tool to give Rails agents live Google SERP, YouTube transcripts, Amazon product data, and Reddit context without managing proxies or parsers.

Searching Apple App Store with RubyLLM

This integration lets your RubyLLM agent search Apple App Store in real time via the Scavio API. The agent gets back structured JSON with app results, ratings, review counts, category rank — ready for reasoning and decision-making.

Setup

Bash
bundle add ruby_llm && bundle add ruby_llm-agents

Code Example

Here is a complete RubyLLM agent that searches Apple App Store using Scavio:

Text
# Generic HTTP integration for RubyLLM
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Full Working Example

A production-ready example with error handling:

Text
# Generic HTTP integration for RubyLLM
# Use your framework's HTTP request tool to call:
# POST https://api.scavio.dev/api/v1/search
# Header: x-api-key: your_scavio_api_key
# Body: {"query": "your search query"}

Pricing

Scavio offers a free tier with 500 credits/month (1 credit per search). No credit card required. This is enough to build and test your RubyLLM integration. Paid plans start at $30/month for higher volumes.

Frequently Asked Questions

Install Scavio that calls the Scavio API. Use RubyLLM's HTTP request node to send a POST request and your RubyLLM agent will have access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with RubyLLM via HTTP requests. The integration takes under 10 minutes to set up. See the code example above for the full setup.

Once connected, your RubyLLM agent can search Google (web, news, images, shopping, maps), Amazon (12 marketplaces), YouTube (videos, transcripts, channels), and Walmart. All from a single API key.

Scavio has a free tier with 500 credits/month (1 credit per search). This is enough to build and test your RubyLLM integration. Paid plans start at $30/month. There is no per-seat or per-agent pricing.

Yes. The Scavio API returns live Apple App Store results with app results, ratings, review counts in structured JSON. Your RubyLLM agent can use this data to make informed decisions based on current information.

Add Real-Time Search to RubyLLM

Get your free Scavio API key and connect RubyLLM to Google, Amazon, YouTube, Walmart, and Reddit. 500 free credits/month.