# Aptonic Apps Scraper (`geodetic_marigold/aptonic-scraper`) Actor

Extrai dados de aptonic.com (Aptonic Apps Scraper) — Actor gerado pela Factory.

- **URL**: https://apify.com/geodetic_marigold/aptonic-scraper.md
- **Developed by:** [Antonio Fernando Rincon de Mendonça](https://apify.com/geodetic_marigold) (community)
- **Categories:** E-commerce
- **Security:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$300.00 / 1,000 item extracteds

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

## Aptonic Apps Scraper

> Extrai dados de aptonic.com (Aptonic Apps Scraper) — Actor gerado pela Factory.

### Por que usar

Extraia dados de **aptonic.com** em escala — **sem API key, sem proxies, sem código**.
O resultado vem tipado e estável, pronto para exportar em **JSON, CSV ou Excel**
(ou puxar via **API** e **MCP**) e alimentar CRM, planilhas, BI e agentes de IA.

### Casos de uso

- Coletar dados estruturados de aptonic.com
- Enriquecer base de CRM com informação atualizada
- Pipeline de agentes de IA que precisa de dados frescos

### Como rodar

1. Preencha o input (veja abaixo) e clique em **Start**.
2. Acompanhe o run — os itens aparecem no Dataset em tempo real.
3. Exporte em **JSON / CSV / Excel** ou consuma via **API** e **MCP**.
4. (Opcional) Agende execuções recorrentes no **Scheduler** da Apify.

### Input

| Campo | Tipo | Obrigatório | Descrição |
|---|---|---|---|
| `searchQuery` | string | sim | O que procurar no site alvo. |
| `maxResults` | integer | — | Limite superior. Valores altos aumentam tempo de run. |
| `proxyConfiguration` | object | — | Apify RESIDENTIAL recomendado. |

#### Exemplo de input

```json
{
  "searchQuery": "tech",
  "maxResults": 10
}
```

### Output

Cada item no Dataset:

```json
{
  "_extractedAt": "2026-04-18T00:00:00.000Z",
  "_actorVersion": "0.1",
  "title": "Example item",
  "url": "https://aptonic.com/items/1"
}
```

### Use com agentes de IA (MCP)

Este Actor é **compatível com o [Apify MCP Server](https://docs.apify.com/platform/integrations/mcp)** —
agentes de IA (Claude, ChatGPT, Cursor) podem chamá-lo diretamente:

1. Conecte o **Apify MCP Server** ao seu cliente de IA.
2. O agente descobre este Actor pelo nome `aptonic-scraper` e lê o `input_schema` automaticamente.
3. Chame com o input desejado — o `dataset_schema` garante output tipado e estável
   entre execuções, ideal para automações e pipelines de dados.

Pay-per-event é o modelo recomendado pela Apify para integrações de IA: você paga
apenas pelo valor extraído, sem custo fixo.

### Preço — Pay Per Event

| Evento | Preço |
|---|---|
| `run-started` | $0.02 |
| `item-extracted` | $0.3 |

### FAQ

- **Preciso de API key ou login no site?** Não — o Actor cuida de tudo.
- **Em quais formatos exporto?** JSON, CSV, Excel, HTML table, ou via API/MCP.
- **Dá para agendar?** Sim — use o Scheduler da Apify para coletas recorrentes.
- **O formato do output muda entre execuções?** Não — o `dataset_schema` mantém os campos estáveis.

### Changelog

- **0.1** (2026-06-05T00:26:21.041Z) — primeira versão gerada pela Factory.

# Actor input Schema

## `searchQuery` (type: `string`):

O que procurar no site alvo.

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

Limite superior. Valores altos aumentam tempo de run.

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

Apify RESIDENTIAL recomendado.

## Actor input object example

```json
{
  "searchQuery": "tech",
  "maxResults": 50,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 = {
    "searchQuery": "tech",
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("geodetic_marigold/aptonic-scraper").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 = {
    "searchQuery": "tech",
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("geodetic_marigold/aptonic-scraper").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 '{
  "searchQuery": "tech",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call geodetic_marigold/aptonic-scraper --silent --output-dataset

```

## MCP server setup

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

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/9hgjGlTLVeDFfdNiX/builds/ZDRwUXJC6xcwE974f/openapi.json