What is OpenAI Assistants?
OpenAI's API for building AI assistants with function calling, code interpreter, and file search capabilities.
Searching Google Reviews with OpenAI Assistants
This integration lets your OpenAI Assistants agent search Google Reviews in real time via the Scavio API. The agent gets back structured JSON with review text, star rating, reviewer profile, review date -- ready for reasoning and decision-making.
Setup
Bash
pip install openai requestsCode Example
Here is a complete OpenAI Assistants agent that searches Google Reviews using Scavio:
Python
from openai import OpenAI
import json
import os
import requests
# Reviews are per place: get a data_id (or place_id) from POST /api/v2/google/maps/search first. Owner responses are not part of this response.
client = OpenAI()
def scavio_search(query: str) -> str:
"""Query Google Reviews through the Scavio API (POST /api/v2/google/maps/reviews)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google/maps/reviews",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"data_id": query, "num": 10, "sort_by": "newest"},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Query Google Reviews for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}]
response = client.chat.completions.create(
model="gpt-5.5",
messages=[{"role": "user", "content": "0x89c259869319e7af:0x54953953a5ede7bb"}],
tools=tools,
)
for tool_call in response.choices[0].message.tool_calls or []:
result = scavio_search(json.loads(tool_call.function.arguments)["query"])
print(result[:500])Full Working Example
A production-ready example with error handling:
Python
from openai import OpenAI
import json
import os
import requests
# Reviews are per place: get a data_id (or place_id) from POST /api/v2/google/maps/search first. Owner responses are not part of this response.
client = OpenAI()
def scavio_search(query: str) -> str:
"""Query Google Reviews through the Scavio API (POST /api/v2/google/maps/reviews)."""
response = requests.post(
"https://api.scavio.dev/api/v2/google/maps/reviews",
headers={
"Authorization": "Bearer " + os.environ["SCAVIO_API_KEY"],
"Content-Type": "application/json",
},
json={"data_id": query, "num": 10, "sort_by": "newest"},
timeout=60,
)
response.raise_for_status()
return json.dumps(response.json())
tools = [{
"type": "function",
"function": {
"name": "scavio_search",
"description": "Query Google Reviews for real-time results",
"parameters": {
"type": "object",
"properties": {"query": {"type": "string"}},
"required": ["query"],
},
},
}]
messages = [{"role": "user", "content": "0x89c259869319e7af:0x54953953a5ede7bb"}]
response = client.chat.completions.create(model="gpt-5.5", messages=messages, tools=tools)
if response.choices[0].message.tool_calls:
messages.append(response.choices[0].message)
for tc in response.choices[0].message.tool_calls:
result = scavio_search(json.loads(tc.function.arguments)["query"])
messages.append({"role": "tool", "tool_call_id": tc.id, "content": result})
final = client.chat.completions.create(model="gpt-5.5", messages=messages)
print(final.choices[0].message.content)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 OpenAI Assistants integration. Paid plans start at $30/month for higher volumes.