Junta Leiloeiros

Skill: Leiloeiros das Juntas Comerciais do Brasil

Selective Reading Rule

Start with:

• references/usage-routing.md
• references/quality-checklist.md

Then load only the inherited docs, scripts, assets, or examples that match the user's actual task.

Selective Reading Rule

Start with:

• references/senior-master-standard.md
• references/schema.md
• references/juntas_urls.md

Then read references/legal.md when the request touches compliance, official-source behavior, or scraping boundaries.

Overview

Coleta e consulta dados de leiloeiros oficiais de todas as 27 Juntas Comerciais do Brasil. Scraper multi-UF, banco SQLite, API FastAPI e exportacao CSV/JSON.

When to Use This Skill

• When the user mentions "leiloeiro junta" or related topics
• When the user mentions "junta comercial leiloeiro" or related topics
• When the user mentions "scraper junta" or related topics
• When the user mentions "jucesp leiloeiro" or related topics
• When the user mentions "jucerja" or related topics
• When the user mentions "jucemg leiloeiro" or related topics

Do Not Use This Skill When

• The task is unrelated to junta leiloeiros
• A simpler, more specific tool can handle the request
• The user needs general-purpose assistance without domain expertise

How It Works

Coleta dados públicos de leiloeiros oficiais de todas as 27 Juntas Comerciais estaduais, persiste em banco SQLite local e oferece API REST e exportação em múltiplos formatos.

Localização

C:\Users\renat\skills\junta-leiloeiros\
├── scripts/
│   ├── scraper/
│   │   ├── base_scraper.py      ← classe abstrata
│   │   ├── states.py            ← registro dos 27 scrapers
│   │   ├── jucesp.py / jucerja.py / jucemg.py / jucec.py / jucis_df.py
│   │   └── generic_scraper.py   ← usado pelos 22 estados restantes
│   ├── db.py                    ← banco SQLite
│   ├── run_all.py               ← orquestrador de scraping
│   ├── serve_api.py             ← API FastAPI
│   ├── export.py                ← exportação
│   └── requirements.txt
├── references/
│   ├── juntas_urls.md           ← URLs e status de todas as 27 juntas
│   ├── schema.md                ← schema do banco
│   └── legal.md                 ← base legal
└── data/
    ├── leiloeiros.db            ← banco SQLite (criado no primeiro run)
    ├── scraping_log.json        ← log de cada coleta
    └── exports/                 ← arquivos exportados

Instalação (Uma Vez)

pip install -r C:\Users\renat\skills\junta-leiloeiros\scripts\requirements.txt

## Para Sites Com Javascript:

playwright install chromium

Coletar Dados

## Todos Os 27 Estados

python C:\Users\renat\skills\junta-leiloeiros\scripts\run_all.py

## Estados Específicos

python C:\Users\renat\skills\junta-leiloeiros\scripts\run_all.py --estado SP RJ MG

## Ver O Que Seria Coletado Sem Executar

python C:\Users\renat\skills\junta-leiloeiros\scripts\run_all.py --dry-run

## Controlar Paralelismo (Default: 5)

python C:\Users\renat\skills\junta-leiloeiros\scripts\run_all.py --concurrency 3

Estatísticas Por Estado

python C:\Users\renat\skills\junta-leiloeiros\scripts\db.py

Sql Direto

sqlite3 C:\Users\renat\skills\junta-leiloeiros\data\leiloeiros.db
"SELECT estado, COUNT(*) FROM leiloeiros GROUP BY estado"

## Servir Api Rest

```bash
python C:\Users\renat\skills\junta-leiloeiros\scripts\serve_api.py

## Docs Interativos: Http://Localhost:8000/Docs

Endpoints:

• GET /leiloeiros?estado=SP&situacao=ATIVO&nome=silva&limit=100
• GET /leiloeiros/{estado} — ex: /leiloeiros/SP
• GET /busca?q=texto
• GET /stats
• GET /export/json
• GET /export/csv

Exportar Dados

python C:\Users\renat\skills\junta-leiloeiros\scripts\export.py --format csv
python C:\Users\renat\skills\junta-leiloeiros\scripts\export.py --format json
python C:\Users\renat\skills\junta-leiloeiros\scripts\export.py --format all
python C:\Users\renat\skills\junta-leiloeiros\scripts\export.py --format csv --estado SP

Usar Em Código Python

import sys
sys.path.insert(0, r"C:\Users\renat\skills\junta-leiloeiros\scripts")
from db import Database

db = Database()
db.init()

## Todos Os Leiloeiros Ativos De Sp

leiloeiros = db.get_all(estado="SP", situacao="ATIVO")

## Busca Por Nome

resultados = db.search("silva")

## Estatísticas

stats = db.get_stats()

Adicionar Scraper Customizado

Se um estado precisar de lógica específica (ex: site usa JavaScript):

## Scripts/Scraper/Meu_Estado.Py

from .base_scraper import AbstractJuntaScraper, Leiloeiro
from typing import List

class MeuEstadoScraper(AbstractJuntaScraper):
    estado = "XX"
    junta = "JUCEX"
    url = "https://www.jucex.xx.gov.br/leiloeiros"

    async def parse_leiloeiros(self) -> List[Leiloeiro]:
        soup = await self.fetch_page()
        if not soup:
            return []
        # lógica específica aqui
        return [self.make_leiloeiro(nome="...", matricula="...")]

Registrar em scripts/scraper/states.py:

from .meu_estado import MeuEstadoScraper
SCRAPERS["XX"] = MeuEstadoScraper

Referências

• URLs de todas as juntas: references/juntas_urls.md
• Schema do banco: references/schema.md
• Base legal da coleta: references/legal.md
• Log de coleta: data/scraping_log.json

Best Practices

• Provide clear, specific context about your project and requirements
• Review all suggestions before applying them to production code
• Combine with other complementary skills for comprehensive analysis

Common Pitfalls

• Using this skill for tasks outside its domain expertise
• Applying recommendations without understanding your specific context
• Not providing enough project context for accurate analysis

Related Skills

• leiloeiro-avaliacao - Complementary skill for enhanced analysis
• leiloeiro-edital - Complementary skill for enhanced analysis
• leiloeiro-ia - Complementary skill for enhanced analysis
• leiloeiro-juridico - Complementary skill for enhanced analysis
• leiloeiro-mercado - Complementary skill for enhanced analysis

Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.