# Fast Google Search for AI Agents, LLMs & RAG (`knightwwang/fast-google-search-for-ai-agents`) Actor

Lightning-fast, lightweight Google search scraper. Extracts organic results, answers, and Markdown snippets without heavy browser overhead. Ideal for LLM tool calling.

- **URL**: https://apify.com/knightwwang/fast-google-search-for-ai-agents.md
- **Developed by:** [knightwwang Wang](https://apify.com/knightwwang) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-usage

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## ⚡ Fast Google Search for AI Agents, LLMs & RAG

A lightning-fast, ultra-lightweight Google Search scraper built specifically for **AI Agents (LangChain, AutoGen, CrewAI, LlamaIndex)** and real-time LLM web browsing.

### 🚀 Key Advantages Over Other Actors

| Feature | Standard Browser Scrapers | **Fast Google Search AI** |
| :--- | :--- | :--- |
| **Speed** | 8 - 15 seconds | **0.8 - 1.5 seconds** (10x faster) |
| **Memory** | 1024MB - 2048MB | **128MB - 256MB** (80% cheaper) |
| **LLM Ready** | Raw messy HTML | **Clean Markdown + Exact Token Counts** |
| **Output** | Hard to parse JSON | **Direct Prompt Injection Ready** |

### 📥 Input Example

```json
{
  "queries": [
    "best RAG frameworks 2025",
    "OpenAI function calling guide"
  ],
  "maxResults": 10,
  "outputAsMarkdown": true
}
```

### 📤 Output Structure

```json
{
  "query": "best RAG frameworks 2025",
  "totalFound": 10,
  "tokens": 420,
  "results": [
    {
      "position": 1,
      "title": "Top RAG Architectures in 2025",
      "url": "https://example.com/rag-2025",
      "snippet": "A comprehensive comparison between LangChain, LlamaIndex, and native vector search..."
    }
  ],
  "markdown": "# Search Results for: \"best RAG frameworks 2025\"\n\n### 1. [Top RAG Architectures]..."
}
```

# Actor input Schema

## `queries` (type: `array`):

List of search queries (e.g. \['best RAG frameworks 2025', 'Apify pricing']).

## `maxResults` (type: `integer`):

Number of organic results to extract (default 10).

## `outputAsMarkdown` (type: `boolean`):

Generate formatted Markdown summaries ready for prompt injection.

## `proxyConfiguration` (type: `object`):

Use Apify Proxy to prevent Google CAPTCHA blocks.

## Actor input object example

```json
{
  "queries": [
    "Apify actors best practices"
  ],
  "maxResults": 10,
  "outputAsMarkdown": true,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

Dataset containing all search results and Markdown

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "Apify actors best practices"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("knightwwang/fast-google-search-for-ai-agents").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["Apify actors best practices"] }

# Run the Actor and wait for it to finish
run = client.actor("knightwwang/fast-google-search-for-ai-agents").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "queries": [
    "Apify actors best practices"
  ]
}' |
apify call knightwwang/fast-google-search-for-ai-agents --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,knightwwang/fast-google-search-for-ai-agents"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/I9orFVSQhX6AmQTgW/builds/T5qtjwjIwKAqKEHXD/openapi.json