# Web Search (SERP) for Agents (`cyberwarex/agent-search`) Actor

Web search results as clean JSON: title, URL, snippet and engine per result. Runs on a dedicated SearxNG meta-search backend. No API keys, no signup.

- **URL**: https://apify.com/cyberwarex/agent-search.md
- **Developed by:** [Beatrice Chalatian](https://apify.com/cyberwarex) (community)
- **Categories:** AI, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$6.00 / 1,000 query searcheds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Web Search (SERP) for Agents

Turn a search query into clean, structured results — title, URL, snippet and source engine per result — as JSON your agent or pipeline can consume directly. Runs on a dedicated SearxNG meta-search backend. No API keys, no signup.

**Input:** a list of queries (and optional max results per query). **Output:** one dataset row per result.

Great for agent research loops, RAG ingestion, and SERP monitoring.

### Who runs this

Built and operated by **[CyberWareX](https://cyberwarex.com)** — a suite of pay-per-call data and AI APIs for autonomous agents. Every result row carries `provider` / `provider_url` fields so the data's origin stays traceable wherever it travels. Full service directory: [cyberwarex.com](https://cyberwarex.com) · daily correctness proofs: [cyberwarex.com/trust](https://cyberwarex.com/trust).

# Actor input Schema

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

One or more search queries.

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

Maximum results returned per query.

## Actor input object example

```json
{
  "queries": [
    "ethereum foundation"
  ],
  "maxResults": 10
}
```

# Actor output Schema

## `results` (type: `string`):

Dataset items, one per result across all queries.

# 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": [
        "ethereum foundation"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("cyberwarex/agent-search").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": ["ethereum foundation"] }

# Run the Actor and wait for it to finish
run = client.actor("cyberwarex/agent-search").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": [
    "ethereum foundation"
  ]
}' |
apify call cyberwarex/agent-search --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cyberwarex/agent-search"
        }
    }
}

```

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/dq5HiKIdA5bB3cbUC/builds/klKG6MlDgcKHJ8HxA/openapi.json