Scavio Google

Google Search via Scavio (v2)

Search Google and return the full structured SERP as JSON — no HTML parsing required. One call returns organic results, ads, knowledge graph, AI overview, related questions, related searches, top stories, videos, and pagination.

When to trigger

Use this skill when the user asks to:

• Look something up on the web or check a current fact
• Find recent results or events
• Answer any question that requires real-time or up-to-date information
• Pull Google's knowledge graph, AI overview, or "people also ask" for a query

Do not answer from memory when current information is needed. Search first.

Setup

Get a free API key at scavio.dev (50 free credits to get started, no card required):

export SCAVIO_API_KEY=sk_live_your_key

Endpoint

POST https://api.scavio.dev/api/v2/google
Authorization: Bearer $SCAVIO_API_KEY

Every request costs 1 credit.

Workflow

1. Send the user's query as query. Add gl/hl to localize by country and language.
2. Page with start (0 = page 1, 10 = page 2, 20 = page 3, ...).
3. Narrow recency with time_period when the user wants fresh results.
4. Read organic_results for the main links; check ai_overview, knowledge_graph, and related_questions for richer answers.
5. Return results in a clear, structured response. Cite URLs.

Parameters

Example

import requests

# Your key from https://scavio.dev. Load it from your environment or secret
# store in real code - keep it out of source control.
API_KEY = "sk_your_key_here"

response = requests.post(
    "https://api.scavio.dev/api/v2/google",
    headers={"Authorization": f"Bearer {API_KEY}"},
    json={"query": "langchain agents tutorial", "gl": "us", "hl": "en"},
)
data = response.json()
for r in data["organic_results"]:
    print(r["position"], r["title"], r["link"])

Response

{
  "search_information": {
    "page_title": "langchain agents tutorial - Google Search",
    "organic_results_state": "Results for exact spelling"
  },
  "organic_results": [
    {
      "position": 1,
      "title": "Result title",
      "link": "https://example.com",
      "displayed_link": "https://example.com › docs",
      "snippet": "Snippet text..."
    }
  ],
  "related_questions": [],
  "related_searches": [],
  "response_time": 812,
  "credits_used": 1,
  "credits_remaining": 999,
  "cached": false
}

The response is a faithful passthrough of the SERP. Depending on the query it may also include: ai_overview, knowledge_graph, top_ads, bottom_ads, top_stories, video_results, discussions_and_forums, local_results, local_map, and pagination.

Guardrails

• Never fabricate search results or URLs. Only return what the API gives you.
• If the query is time-sensitive, always call the API — do not answer from training data.
• Organic links live in organic_results[].link and result order is position.
• Cite sources when summarizing results.

Failure handling

• 400 means an invalid parameter — report the message and fix the request.
• 401 means the API key is invalid or missing. Prompt the user to check their SCAVIO_API_KEY.
• 429 means rate or usage limit exceeded. Wait before retrying. See https://scavio.dev/docs/rate-limits.
• 502 / 503 mean upstream is temporarily unavailable. Wait a few seconds before retrying.
• If no results are returned, tell the user and suggest rephrasing.
• If SCAVIO_API_KEY is not set, prompt the user to export it before continuing.

LangChain

pip install langchain-scavio==4.0.2

from langchain_scavio import ScavioSearchTool
tool = ScavioSearchTool(engine="google")