What is Semantic Kernel?
Microsoft's SDK for integrating LLMs into applications. Supports plugins, planners, and memory for building AI agents.
Searching LinkedIn with Semantic Kernel
This integration lets your Semantic Kernel agent search LinkedIn in real time via the Scavio API. The agent gets back structured JSON with post results, profile results, company results, post snippets — ready for reasoning and decision-making.
Setup
Bash
pip install semantic-kernel requestsCode Example
Here is a complete Semantic Kernel agent that searches LinkedIn using Scavio:
Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json
class ScavioPlugin:
@kernel_function(description="Search LinkedIn 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:
Text
import semantic_kernel as sk
from semantic_kernel.functions import kernel_function
import requests
import json
class ScavioPlugin:
@kernel_function(description="Search LinkedIn 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="site:linkedin.com/in AI engineer San Francisco")
print(result)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 Semantic Kernel integration. Paid plans start at $30/month for higher volumes.