What is Semantic Kernel?
Microsoft's SDK for integrating LLMs into applications. Supports plugins, planners, and memory for building AI agents.
Searching Apple App Store with Semantic Kernel
This integration lets your Semantic Kernel agent search Apple App Store in real time via the Scavio API. The agent gets back structured JSON with app listing URLs, listing titles, SERP snippets (rating, category, price as text) -- ready for reasoning and decision-making.
Setup
Bash
pip install semantic-kernel requestsCode Example
Here is a complete Semantic Kernel agent that searches Apple App Store using Scavio:
Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import json
import os
import requests
# Scavio has no App Store endpoint. This searches apps.apple.com listing pages through Google - ratings and prices appear in the snippet text, not as structured fields.
class ScavioPlugin:
@kernel_function(description="Query Apple App Store using Scavio")
def search(self, query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")Full Working Example
A production-ready example with error handling:
Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import json
import os
import requests
# Scavio has no App Store endpoint. This searches apps.apple.com listing pages through Google - ratings and prices appear in the snippet text, not as structured fields.
class ScavioPlugin:
@kernel_function(description="Query Apple App Store using Scavio")
def search(self, query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v2/google",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"query": query},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
kernel = sk.Kernel()
kernel.add_plugin(ScavioPlugin(), "scavio")
result = await kernel.invoke("scavio", "search", query="site:apps.apple.com best productivity app")
print(result)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.