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Haystack + Apple App Store

Search Apple App Store from your Haystack agent with Scavio. Get app listing URLs, listing titles, SERP snippets (rating, category, price as text) in structured JSON.

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What is Haystack?

End-to-end NLP framework for building search, RAG, and question answering pipelines. Developed by deepset.

Searching Apple App Store with Haystack

This integration lets your Haystack 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 scavio-haystack

Code Example

Here is a complete Haystack agent that searches Apple App Store using Scavio:

Python
from haystack.components.generators import OpenAIGenerator
from haystack_integrations.components.websearch.scavio import ScavioWebSearch

# export SCAVIO_API_KEY=sk_live_your_key
web_search = ScavioWebSearch(top_k=5)
results = web_search.run(query="site:apps.apple.com best productivity app")
context = "\n".join(doc.content for doc in results["documents"])

generator = OpenAIGenerator(model="gpt-5.5")
response = generator.run(
    prompt="Summarise these search results:\n" + context
)
print(response["replies"][0])

Full Working Example

A production-ready example with error handling:

Python
from haystack import Pipeline
from haystack.components.builders import PromptBuilder
from haystack.components.generators import OpenAIGenerator
from haystack_integrations.components.websearch.scavio import ScavioWebSearch

# export SCAVIO_API_KEY=sk_live_your_key
template = """
Based on these web search results, answer the question.

{% for doc in documents %}{{ doc.content }}
{% endfor %}

Question: {{ query }}
Answer:
"""

pipe = Pipeline()
pipe.add_component("search", ScavioWebSearch(top_k=5))
pipe.add_component("prompt_builder", PromptBuilder(template=template))
pipe.add_component("llm", OpenAIGenerator(model="gpt-5.5"))
pipe.connect("search.documents", "prompt_builder.documents")
pipe.connect("prompt_builder", "llm")

query = "site:apps.apple.com best productivity app"
result = pipe.run({"search": {"query": query}, "prompt_builder": {"query": query}})
print(result["llm"]["replies"][0])

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 Haystack integration. Paid plans start at $30/month for higher volumes.

Frequently Asked Questions

Install Scavio and connect it to your Haystack agent with a short tool or HTTP request that calls the Scavio API. Once connected, your Haystack agent has access to real-time search across Google, Amazon, YouTube, and Walmart.

Scavio works with Haystack via HTTP requests or custom tool definitions. The integration takes under 10 minutes to set up. See the code example above for the full setup.

Once connected, your Haystack agent can search Google (web, news, images, shopping, maps), Amazon (22 marketplaces), YouTube (videos, transcripts, channels), and Walmart. All from a single API key.

Scavio has a free tier with 50 credits on signup (1 credit per search). This is enough to build and test your Haystack integration. Paid plans start at $30/month. There is no per-seat or per-agent pricing.

Yes. The Scavio API returns live Apple App Store results with app listing URLs, listing titles, SERP snippets (rating, category, price as text) in structured JSON. Your Haystack agent can use this data to make informed decisions based on current information.

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Add Real-Time Search to Haystack

Get your free Scavio API key and connect Haystack to Google, Amazon, YouTube, Walmart, and Reddit. 50 free credits on signup.

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