# Packagist PHP Packages Scraper (`geodetic_marigold/packagist-scraper`) Actor

Extrai dados de packagist.org (Packagist PHP Packages Scraper) — Actor gerado pela Factory.

- **URL**: https://apify.com/geodetic\_marigold/packagist-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

## Packagist PHP Packages Scraper

> Busca pacotes PHP (Composer) no **Packagist** por palavra-chave e devolve
> dados estruturados — downloads, favoritos, repositório e descrição — via a
> **API pública oficial**. Sem browser, sem API key.

### Por que usar

Consome a API de busca oficial do Packagist (`packagist.org/search.json`),
então o resultado é **estável, tipado e rápido**. Exporte em **JSON, CSV ou
Excel** (ou puxe via **API** e **MCP**) para análise de ecossistema PHP,
due diligence de dependências, market research de pacotes ou pipelines de IA.

### Casos de uso

- Mapear os pacotes mais baixados de um tema (ex.: `laravel`, `symfony`, `orm`)
- Monitorar popularidade (downloads, favoritos) de dependências
- Descobrir repositórios de um conjunto de pacotes
- Alimentar agentes de IA com dados frescos do Packagist

### Como rodar

1. Preencha `searchQuery` (ex.: `laravel`) 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 Packagist. Ex.: `laravel`, `symfony`, `http client`. |
| `maxItems` | integer | — | Máximo de pacotes a coletar (1–3000). Padrão 100. |

#### Exemplo de input

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

### Output

Cada item no Dataset:

```json
{
  "name": "laravel/framework",
  "description": "The Laravel Framework.",
  "url": "https://packagist.org/packages/laravel/framework",
  "repository": "https://github.com/laravel/framework",
  "downloads": 542708672,
  "favorites": 35277,
  "searchQuery": "laravel",
  "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 `packagist-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 — a API de busca do Packagist é pública.
- **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 da API oficial do Packagist.

# Actor input Schema

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

O que procurar no Packagist. Ex.: "laravel", "symfony", "http client", "orm".

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

Limite superior de pacotes a coletar. Valores altos aumentam o tempo do run (a API entrega 15 por página).

## Actor input object example

```json
{
  "searchQuery": "laravel",
  "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": "laravel"
};

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

# Run the Actor and wait for it to finish
run = client.actor("geodetic_marigold/packagist-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": "laravel"
}' |
apify call geodetic_marigold/packagist-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/g5HGZWU3FL0DkC9Ig/builds/ftAA7HtvPBpDhmKPC/openapi.json
