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llama-index-tools-scavio

PyPI version Python versions License: MIT

Scavio real-time search and page-extraction tools for LlamaIndex — Google, Google News, Reddit, YouTube, Amazon, and extract (read any URL) as clean Documents, with one API key. A drop-in Tavily alternative and SerpAPI alternative for LlamaIndex RAG pipelines and agents.

Install

pip install llama-index-tools-scavio

Setup

Get a Scavio API key from the Scavio Dashboard (new accounts get 50 free signup credits, one-time, no credit card). Set SCAVIO_API_KEY or pass api_key= to the tool spec.

Usage

from llama_index.tools.scavio import ScavioToolSpec

tool_spec = ScavioToolSpec()  # reads SCAVIO_API_KEY

# Direct call — returns a list of llama_index Document objects
docs = tool_spec.search("best real-time search API for AI agents", max_results=5)
for doc in docs:
    print(doc.text, doc.metadata["url"])

# Read the page behind a result — one Document holding the whole page
page = tool_spec.extract(docs[0].metadata["url"])
print(page[0].text)

Hand the tools to an agent:

from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

agent = FunctionAgent(
    tools=ScavioToolSpec().to_tool_list(),
    llm=OpenAI(model="gpt-5.5"),
    system_prompt="You are a research assistant. Use Scavio for fresh web data.",
)
response = await agent.run("What are people on Reddit saying about Tavily alternatives?")

Scope: 9 endpoints, by design

ScavioToolSpec is a curated subset of the Scavio API, not a wrapper around all of it. It exposes 9 of Scavio's 195 endpoints — 8 across 4 of its 31 platforms, plus the core extract endpoint — the ones that map cleanly onto RAG Documents (every function returns List[Document]):

Tool Endpoint Platform What it does Credits
search POST /api/v2/google Google Real-time organic web results 1
news POST /api/v2/google/news Google Recent articles on a topic 1
reddit_search POST /api/v1/reddit/search Reddit Community discussion and sentiment 1
youtube_search POST /api/v1/youtube/search YouTube Videos, channels, playlists 2
youtube_video POST /api/v1/youtube/video YouTube Full details for one video 1
youtube_transcript POST /api/v1/youtube/transcript YouTube Transcript or timed subtitles 8
youtube_comments POST /api/v1/youtube/comments YouTube Top-level comments on a video 1
amazon_search POST /api/v1/amazon/search Amazon Product listings 1
extract POST /api/v1/extract (core, not a platform) Any URL as Markdown, plain text, or raw HTML 1 / 1 / 2 by mode

Platforms covered here: Google (2), YouTube (4), Reddit (1), Amazon (1), plus extract, which belongs to no platform — it reads any URL. Not covered: Walmart, TikTok, TikTok Shop, Instagram, X, LinkedIn, eBay, Target, Home Depot, Zillow, Redfin, Booking, Airbnb, Tripadvisor, Yelp, Indeed, Glassdoor, the App Store, Google Play, SEC, Companies House, G2, Capterra, Google Ads, Meta Ad Library, Threads, Kuaishou, and the other 12 Google verticals (Maps, Shopping, Flights, Hotels, Trends, AI Mode, ...). That is deliberate — this is a document-retrieval tool spec, not an API client — and it stays that way.

Reaching the rest of the API

For full coverage — all 195 endpoints across 31 platforms (Google, YouTube, Amazon, Walmart, Reddit, TikTok, TikTok Shop, Instagram, X, LinkedIn, eBay, Target, Home Depot, Zillow, Redfin, Booking, Airbnb, Tripadvisor, Yelp, Indeed, Glassdoor, App Store, Google Play, SEC, Companies House, G2, Capterra, Google Ads, Meta Ad Library, Threads, Kuaishou) — point a LlamaIndex agent at the hosted MCP server at https://mcp.scavio.dev/mcp, which exposes 191 tools with no install required:

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

scavio_mcp = McpToolSpec(
    client=BasicMCPClient(
        "https://mcp.scavio.dev/mcp",
        headers={"x-api-key": "sk_live_..."},
    )
)
tools = await scavio_mcp.to_tool_list_async()

See the MCP docs. Or call the scavio SDK directly — it is already a dependency here — and wrap whichever endpoints you need.

Scavio vs Tavily vs SerpAPI

These rows compare the APIs, not this tool spec. Rows marked below the table are the ones ScavioToolSpec itself exposes; the rest are reachable via MCP or the scavio SDK.

Scavio Tavily SerpAPI
Google SERP Yes No (web search only) Yes
Google News Yes No Yes
Reddit Yes No No
YouTube Yes No Yes
Amazon / Walmart Yes No Yes (add-on)
TikTok / TikTok Shop / Instagram Yes No No
X / LinkedIn Yes No No
Read any URL (extract) Yes Yes No
Hosted MCP server Yes Yes No
LlamaIndex tool Yes Yes Yes

In ScavioToolSpec: Google SERP, Google News, Reddit, YouTube, Amazon search, and URL extraction. Everything else in the Scavio column comes from MCP or the SDK.

Migrating from Tavily

- from llama_index.tools.tavily_research import TavilyToolSpec
- tool_spec = TavilyToolSpec(api_key="tvly-...")
+ from llama_index.tools.scavio import ScavioToolSpec
+ tool_spec = ScavioToolSpec(api_key="sk_live_...")

  docs = tool_spec.search("your query")

Credits

This package is not flat 1 credit. Six of the nine tools cost 1, youtube_search costs 2, youtube_transcript costs 8 — budget for it if you are bulk-ingesting transcripts into an index — and extract is priced by the tier you ask for, not per call.

Tool Credits
search, news, reddit_search, youtube_video, youtube_comments, amazon_search 1
youtube_search 2
youtube_transcript 8
extract 1 on mode="normal", 1 on "advanced", 2 on "ultra"

extract bills only on a successful read: a dead link, a bot wall or a timeout costs nothing. Start on normal; move to advanced when the page builds its content in the browser, and to ultra only when a bot wall blocks the other two.

Elsewhere in the API (not exposed here): YouTube streams 3, Instagram 2-10, LinkedIn 1-10 with a job at 30, Kuaishou 1-40 per endpoint, G2 5, Capterra 2, everything else 1. New accounts get 50 one-time signup credits — no monthly refill. See scavio.dev/docs and the extract docs.

About Scavio

Scavio is a real-time search API built for AI agents — 195 endpoints across 31 platforms (Google, YouTube, Amazon, Walmart, Reddit, TikTok, Instagram, X, LinkedIn, eBay, Zillow, Booking, Indeed, the App Store, SEC filings and more), plus extract to read any URL, all returning clean JSON on one key. It is a cost-effective Tavily alternative and SerpAPI alternative with broader platform coverage. Learn more in the LlamaIndex integration docs.

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