# AI Product Hunter (`icekurt/ai-product-hunter`) Actor

Find promising e-commerce product opportunities by analyzing public product data, pricing, ratings, reviews, competition, and market signals. Built for product research, sellers, researchers, and AI agents.

- **URL**: https://apify.com/icekurt/ai-product-hunter.md
- **Developed by:** [hasan kurt](https://apify.com/icekurt) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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 Product Hunter

Find promising e-commerce product opportunities using public marketplace data.

AI Product Hunter searches products for a selected country and keyword, analyzes observable market signals, and ranks the strongest matching opportunities.

### What it does

The Actor automatically:

- Searches public e-commerce product listings
- Uses the marketplace for the selected country when supported
- Filters products by your target price range
- Analyzes product ratings and review counts
- Estimates visible competition
- Calculates an Opportunity Score from 0 to 100
- Assigns a Low, Medium, or High risk level
- Removes irrelevant media and book results
- Returns structured product data and direct product URLs

You do not need to provide product URLs. Enter a country, product category or keyword, price range, and desired number of opportunities.

### Input

Example:

````json
{
  "country": "Germany",
  "query": "Home & Kitchen",
  "minPrice": 20,
  "maxPrice": 80,
  "maxResults": 20
}



# Actor input Schema

## `country` (type: `string`):

Country or market where you want to find product opportunities.
## `query` (type: `string`):

Product category or search keyword, for example Home & Kitchen, pet accessories, or portable electronics.
## `minPrice` (type: `number`):

Minimum target selling price.
## `maxPrice` (type: `number`):

Maximum target selling price.
## `maxResults` (type: `integer`):

Maximum number of product opportunities to return.

## Actor input object example

```json
{
  "country": "Germany",
  "query": "Home & Kitchen",
  "minPrice": 20,
  "maxPrice": 80,
  "maxResults": 20
}
````

# Actor output Schema

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

No description

# 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("icekurt/ai-product-hunter").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("icekurt/ai-product-hunter").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 icekurt/ai-product-hunter --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,icekurt/ai-product-hunter"
        }
    }
}
```

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/s9d0tdYpya4xOVLrG/builds/Ck9v6tDg49hW8o8GN/openapi.json