What is Haystack?
End-to-end NLP framework for building search, RAG, and question answering pipelines. Developed by deepset.
Searching Amazon with Haystack
This integration lets your Haystack agent search Amazon in real time via the Scavio API. The agent gets back structured JSON with product listings, prices, ratings, review counts — ready for reasoning and decision-making.
Setup
Bash
pip install haystack-ai requestsCode Example
Here is a complete Haystack agent that searches Amazon using Scavio:
Python
from haystack import Pipeline
from haystack.components.generators import OpenAIGenerator
import requests
import json
def scavio_search(query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v1/amazon/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return json.dumps(response.json(), indent=2)
# Search and pass results to the LLM
search_results = scavio_search("mechanical keyboard")
generator = OpenAIGenerator(model="gpt-4o")
response = generator.run(
prompt=f"Based on these search results, provide a summary:\n{search_results}"
)
print(response["replies"][0])Full Working Example
A production-ready example with error handling:
Python
from haystack.components.generators import OpenAIGenerator
import requests
import json
def scavio_search(query: str) -> str:
response = requests.post(
"https://api.scavio.dev/api/v1/amazon/search",
headers={"x-api-key": "your_scavio_api_key", "Content-Type": "application/json"},
json={"query": query},
)
return json.dumps(response.json(), indent=2)
search_results = scavio_search("mechanical keyboard")
generator = OpenAIGenerator(model="gpt-4o")
response = generator.run(
prompt=f"Based on these search results, provide a detailed summary:\n{search_results}"
)
print(response["replies"][0])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 Haystack integration. Paid plans start at $30/month for higher volumes.