What is Claude Tool Use?
Anthropic's Claude API with tool use for building AI assistants that can call external APIs and functions.
Searching Apple App Store with Claude Tool Use
This integration lets your Claude Tool Use 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 anthropic requestsCode Example
Here is a complete Claude Tool Use agent that searches Apple App Store using Scavio:
Python
import anthropic
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.
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Apple App Store through the Scavio API (POST /api/v2/google)."""
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())
tools = [{
"name": "scavio_search",
"description": "Query Apple App Store for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
response = client.messages.create(
model="claude-sonnet-4-5",
max_tokens=4096,
tools=tools,
messages=[{"role": "user", "content": "site:apps.apple.com best productivity app"}],
)
for block in response.content:
if block.type == "tool_use":
print(scavio_search(block.input["query"])[:500])
elif block.type == "text":
print(block.text)Full Working Example
A production-ready example with error handling:
Python
import anthropic
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.
client = anthropic.Anthropic()
def scavio_search(query: str) -> str:
"""Query Apple App Store through the Scavio API (POST /api/v2/google)."""
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())
tools = [{
"name": "scavio_search",
"description": "Query Apple App Store for real-time results",
"input_schema": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
}]
messages = [{"role": "user", "content": "site:apps.apple.com best productivity app"}]
response = client.messages.create(
model="claude-sonnet-4-5", max_tokens=4096, tools=tools, messages=messages
)
if response.stop_reason == "tool_use":
messages.append({"role": "assistant", "content": response.content})
tool_results = []
for block in response.content:
if block.type == "tool_use":
result = scavio_search(block.input["query"])
tool_results.append(
{"type": "tool_result", "tool_use_id": block.id, "content": result}
)
messages.append({"role": "user", "content": tool_results})
final = client.messages.create(
model="claude-sonnet-4-5", max_tokens=4096, tools=tools, messages=messages
)
print(final.content[0].text)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 Claude Tool Use integration. Paid plans start at $30/month for higher volumes.