What is LlamaIndex?
Data framework for building RAG pipelines and LLM applications over custom data. Connects LLMs to external data sources.
Searching Shopify with LlamaIndex
This integration lets your LlamaIndex agent search Shopify in real time via the Scavio API. The agent gets back structured JSON with store URLs, product page URLs, page titles, SERP snippets (price and stock text when Google shows it) -- ready for reasoning and decision-making.
Setup
pip install llama-index requestsCode Example
Here is a complete LlamaIndex agent that searches Shopify using Scavio:
from llama_index.core.tools import FunctionTool
from llama_index.llms.openai import OpenAI
from llama_index.core.agent import ReActAgent
import json
import os
import requests
# Scavio has no Shopify endpoint. This finds storefront pages through Google; prices and variants come from the pages you then fetch yourself.
def search_shopify(query: str) -> str:
"""Query Shopify 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())
tool = FunctionTool.from_defaults(fn=search_shopify)
llm = OpenAI(model="gpt-5.5")
agent = ReActAgent.from_tools([tool], llm=llm, verbose=True)
response = agent.chat("site:myshopify.com leather wallet")
print(response)Full Working Example
A production-ready example with error handling:
from llama_index.core.tools import FunctionTool
from llama_index.llms.openai import OpenAI
from llama_index.core.agent import ReActAgent
import json
import os
import requests
# Scavio has no Shopify endpoint. This finds storefront pages through Google; prices and variants come from the pages you then fetch yourself.
def search_shopify(query: str) -> str:
"""Query Shopify 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())
tool = FunctionTool.from_defaults(fn=search_shopify)
llm = OpenAI(model="gpt-5.5")
agent = ReActAgent.from_tools([tool], llm=llm, verbose=True)
response = agent.chat("site:myshopify.com leather wallet")
print(response)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 LlamaIndex integration. Paid plans start at $30/month for higher volumes.