# NuGet .NET Packages Scraper (`geodetic_marigold/nuget-scraper`) Actor

Extrai dados de nuget.org (NuGet .NET Packages Scraper) — Actor gerado pela Factory.

- **URL**: https://apify.com/geodetic\_marigold/nuget-scraper.md
- **Developed by:** [Antonio Fernando Rincon de Mendonça](https://apify.com/geodetic_marigold) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$5.00 / 1,000 pacote extraídos

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/platform/actors/running/actors-in-store#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

## NuGet .NET Packages Scraper

> Busca pacotes .NET no **NuGet** por palavra-chave e devolve dados estruturados
> — downloads totais, versão, tags, autores e licença — via o **serviço de busca
> oficial (NuGet V3)**. Sem browser, sem API key.

### Por que usar

Consome o serviço de busca oficial do NuGet (`azuresearch-usnc.nuget.org/query`),
então o resultado é **estável, tipado e rápido**. Exporte em **JSON, CSV ou
Excel** (ou puxe via **API** e **MCP**) para análise de ecossistema .NET,
due diligence de dependências, market research de pacotes ou pipelines de IA.

### Casos de uso

- Mapear os pacotes mais baixados de um tema (ex.: `json`, `logging`, `orm`)
- Monitorar versões e popularidade de dependências
- Descobrir projetos e licenças de um conjunto de pacotes
- Alimentar agentes de IA com dados frescos do NuGet

### Como rodar

1. Preencha `searchQuery` (ex.: `newtonsoft`) e clique em **Start**.
2. Acompanhe o run — os pacotes 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 NuGet. Ex.: `newtonsoft`, `serilog`, `logging`. |
| `maxItems` | integer | — | Máximo de pacotes a coletar (1–5000). Padrão 100. |

#### Exemplo de input

```json
{
  "searchQuery": "newtonsoft",
  "maxItems": 20
}
```

### Output

Cada item no Dataset:

```json
{
  "name": "Newtonsoft.Json",
  "title": "Json.NET",
  "description": "Json.NET is a popular high-performance JSON framework for .NET",
  "url": "https://www.nuget.org/packages/Newtonsoft.Json",
  "version": "13.0.4",
  "totalDownloads": 5000000000,
  "authors": ["James Newton-King"],
  "tags": ["json"],
  "licenseUrl": "https://licenses.nuget.org/MIT",
  "projectUrl": "https://www.newtonsoft.com/json",
  "verified": true,
  "searchQuery": "newtonsoft",
  "scrapedAt": "2026-06-28T00:00:00.000Z"
}
```

### 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) descobrem o Actor pelo nome `nuget-scraper`,
leem o `input_schema` e chamam direto. O `dataset_schema` garante output tipado e estável.

### Preço — Pay Per Event

| Evento | Preço |
|---|---|
| `package-scraped` | $0.005 por pacote retornado |

Você paga **apenas pelo resultado**: runs que não acham nada custam **zero**.

### FAQ

- **Preciso de API key ou login?** Não — o serviço de busca do NuGet é público.
- **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** — primeira versão: consumer do serviço de busca oficial do NuGet (V3).

# Actor input Schema

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

O que procurar no NuGet. Ex.: "newtonsoft", "serilog", "json", "logging".

## `maxItems` (type: `integer`):

Limite superior de pacotes a coletar. Valores altos aumentam o tempo do run (a API entrega até 100 por página).

## Actor input object example

```json
{
  "searchQuery": "newtonsoft",
  "maxItems": 100
}
```

# 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": "newtonsoft"
};

// Run the Actor and wait for it to finish
const run = await client.actor("geodetic_marigold/nuget-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": "newtonsoft" }

# Run the Actor and wait for it to finish
run = client.actor("geodetic_marigold/nuget-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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": "newtonsoft"
}' |
apify call geodetic_marigold/nuget-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=geodetic_marigold/nuget-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/QuTBZRM1MvVIWlb8H/builds/HxN6qNWccpjlAapAc/openapi.json