# AI Web Search Tool for Real-Time Knowledge Injection (`lavgroup/ai-web-search-tool-real-time-knowledge-injection-3013769`) Actor

An Apify Actor that queries DuckDuckGo's instant answer API for real-time web search results providing AI agents with multiple ranked snippets, URLs, and metadata. Supports multiple queries plus country/language targeting. Outputs rich JSON results for integration into AI pipelines.

- **URL**: https://apify.com/lavgroup/ai-web-search-tool-real-time-knowledge-injection-3013769.md
- **Developed by:** [Taku Anan](https://apify.com/lavgroup) (community)
- **Categories:** AI
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $50.00 / 1,000 results

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?

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

## AI Web Search Tool for Real-Time Knowledge Injection

This Apify Actor provides real-time web search results to enrich AI agents with up-to-date factual information. It queries DuckDuckGo's API as a resilient multi-backend alternative without any paid API keys or scraping.

### Features

- Supports multiple queries in one run
- Country and language targeting (default US English)
- Returns JSON with ranked results including title, snippet, URL, source, and type

### Input

```json
{
  "queries": ["latest electric vehicle market trends"],
  "country": "US",
  "language": "en"
}
```

- `queries`: a string or array of query strings (required)
- `country`: ISO country code, e.g. "US" (default: "US")
- `language`: language code, e.g. "en" (default: "en")

### Output

Output is pushed to the default dataset in this format:

```json
{
  "results": [
    {
      "query": "latest electric vehicle market trends",
      "rank": 1,
      "title": "Title of result",
      "url": "https://example.com",
      "snippet": "Short summary or snippet",
      "source": "DuckDuckGo",
      "type": "web/page"
    }
  ]
}
```

### Usage

Deploy and run the Actor on Apify platform.

### Why DuckDuckGo?

- No API keys required
- Privacy-respecting, reliable JSON search API

### License

MIT

# Actor input Schema

## Actor input object example

```json
{}
```

# Actor output Schema

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

Results stored in the default dataset.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("lavgroup/ai-web-search-tool-real-time-knowledge-injection-3013769").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("lavgroup/ai-web-search-tool-real-time-knowledge-injection-3013769").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 '{}' |
apify call lavgroup/ai-web-search-tool-real-time-knowledge-injection-3013769 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,lavgroup/ai-web-search-tool-real-time-knowledge-injection-3013769"
        }
    }
}
```

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/fOOJqzPNIAxPVttER/builds/SfNxkukENTzcuCfQj/openapi.json