Google Search API - Organic SERP, Knowledge Graph, PAA, AI Overview

Search Google and get the full structured SERP as JSON — organic results, ads, knowledge graph, AI overview, related questions, and more. Use for any query needing current web information. v2 engine, 1 credit per request.

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):

bash

export SCAVIO_API_KEY=sk_live_your_key

If you do not have a key yet

An agent running this skill without SCAVIO_API_KEY set will get 401 on every call below. The whole path from nothing to a working key is self-serve:

1. Sign up at dashboard.scavio.dev - email or Google, no card required.
2. A key is created for the account automatically at signup. It is on the dashboard under API Keys, ready to copy.
3. A new account starts with 50 credits. Endpoints in this skill cost 1 credit each unless the table below says otherwise.

When the balance runs out the API answers 402 with a JSON body carrying billing_url. Topping up needs no code change - the same key keeps working. The smallest purchase is 2,500 credits for $25, and monthly plans work out cheaper per credit if the usage is steady rather than one-off.

Endpoint

text

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

Parameter	Type	Default	Description
query	string	required	Search query (1-500 chars)
device	string	desktop	desktop or mobile (SERP layout)
start	number	0	Result offset: 0 = page 1, 10 = page 2, ... (max 990)
gl	string	--	Geo country, ISO 3166-1 alpha-2 (e.g. us, gb, de)
hl	string	--	UI language, ISO 639-1 (e.g. en, fr, es)
google_domain	string	google.com	Regional Google domain
location	string	--	Canonical location name, auto-UULE (e.g. New York,New York,United States)
uule	string	--	Pre-encoded UULE (takes priority over location)
lr	string	--	Language restrict (lang_en)
cr	string	--	Country restrict (countryUS)
safe	string	--	active filters adult content (SafeSearch)
nfpr	boolean	false	Set true to disable spelling autocorrection
filter	string	1	0 disables similar/omitted-results filtering
time_period	string	--	last_hour, last_day, last_week, last_month, last_year
resolve_ai_overview	boolean	true	Inline the full AI Overview when Google defers it; set false to skip the extra upstream call
include_html	boolean	false	Include raw Google HTML in the html field

Example

python

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

json

{
  "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 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

bash

pip install langchain-scavio==4.0.2

python

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