Scavio + Semantic Kernel

What is Semantic Kernel?

Microsoft's SDK for integrating LLMs into applications. Supports plugins, planners, and memory for building AI agents.

How It Works

Scavio connects to Semantic Kernel via a plugin. Once connected, your Semantic Kernel agent can search Google, Amazon, YouTube, and Walmart in real time. Each search returns structured JSON -- no HTML parsing, no scraping infrastructure.

Setup

pip install semantic-kernel requests

Code Example

Here is a complete Semantic Kernel integration with Scavio:

import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json

class ScavioPlugin:
    @kernel_function(description="Search the web using Scavio")
    def search(self, query: str) -> str:
        response = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
            json={"query": query},
        )
        return json.dumps(response.json())

kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")

Full Working Example

A production-ready example with error handling:

import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json

class ScavioPlugin:
    @kernel_function(description="Search the web using Scavio")
    def search(self, query: str) -> str:
        response = requests.post(
            "https://api.scavio.dev/api/v1/search",
            headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
            json={"query": query},
        )
        return json.dumps(response.json())

kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")

# Use the plugin
result = await kernel.invoke("scavio", "search", query="best AI frameworks 2026")
print(result)

Available Platforms

Once connected, your Semantic Kernel agent has access to all four Scavio platforms:

• Google — Web search with knowledge graph, PAA, and AI overviews
• Amazon — Product search with prices, ratings, and reviews
• Reddit — Community, posts & threaded comments from any subreddit
• YouTube — Video search with transcripts and metadata
• Walmart — Product search with pricing and fulfillment data
• LinkedIn — Post, profile, and company discovery via search
• TikTok — Trending video, creator, and product discovery
• Shopify — Cross-store product discovery and enrichment
• X (Twitter) — Post and profile discovery via search
• Apple App Store — App discovery, ranking, and review data
• Google Play Store — Android app discovery and ranking data
• Google Reviews — Business review extraction with ratings and responses
• Google Scholar — Academic paper search with citation counts
• Google Ads Transparency — Competitor ad creative and transparency data via SERP
• Reddit Comments Tree — Deep threaded comment fetch for brand monitoring
• YouTube Shorts — Shorts-specific search with metadata
• YouTube Playlists — Playlist discovery and removal tracking
• Google Jobs — Live jobs-board search for recruiting
• Amazon Bestsellers — Bestseller rank-change feed across categories

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 Semantic Kernel integration. Paid plans start at $30/month for higher volumes.