New skills covering 10 categories: **Security & Audit**: 007 (STRIDE/PASTA/OWASP), cred-omega (secrets management) **AI Personas**: Karpathy, Hinton, Sutskever, LeCun (4 sub-skills), Altman, Musk, Gates, Jobs, Buffett **Multi-agent Orchestration**: agent-orchestrator, task-intelligence, multi-advisor **Code Analysis**: matematico-tao (Terence Tao-inspired mathematical code analysis) **Social & Messaging**: Instagram Graph API, Telegram Bot, WhatsApp Cloud API, social-orchestrator **Image Generation**: AI Studio (Gemini), Stability AI, ComfyUI Gateway, image-studio router **Brazilian Domain**: 6 auction specialist modules, 2 legal advisors, auctioneers data scraper **Product & Growth**: design, invention, monetization, analytics, growth engine **DevOps & LLM Ops**: Docker/CI-CD/AWS, RAG/embeddings/fine-tuning **Skill Governance**: installer, sentinel auditor, context management Each skill includes: - Standardized YAML frontmatter (name, description, risk, source, tags, tools) - Structured sections (Overview, When to Use, How it Works, Best Practices) - Python scripts and reference documentation where applicable - Cross-platform compatibility (Claude Code, Antigravity, Cursor, Gemini CLI, Codex CLI) Co-authored-by: ProgramadorBrasil <214873561+ProgramadorBrasil@users.noreply.github.com> Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
111 lines
4.4 KiB
Python
111 lines
4.4 KiB
Python
"""
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Scraper JUCAP — Junta Comercial do Amapa
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URL: https://jucap.portal.ap.gov.br/pagina/informacoes/leiloleiros
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(ATENCAO: typo oficial — "leiloleiros" com L extra, URL exata do site)
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Metodo: httpx + BeautifulSoup
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Estrutura: h4/h5 com nome + paragrafos com detalhes (Laravel/Livewire SSR)
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Registros: ~12 leiloeiros
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Nota: www.jucap.ap.gov.br falha por DNS — usar jucap.portal.ap.gov.br
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"""
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from __future__ import annotations
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import re
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from typing import List
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from .base_scraper import AbstractJuntaScraper, Leiloeiro
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class JucapScraper(AbstractJuntaScraper):
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estado = "AP"
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junta = "JUCAP"
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url = "https://jucap.portal.ap.gov.br/pagina/informacoes/leiloleiros"
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async def parse_leiloeiros(self) -> List[Leiloeiro]:
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soup = await self.fetch_page()
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if not soup:
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soup = await self.fetch_page(url="https://jucap.portal.ap.gov.br/pagina/informacoes/leiloeiros")
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if not soup:
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soup = await self.fetch_page_js(url=self.url, wait_ms=3000)
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if not soup:
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return []
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results: List[Leiloeiro] = []
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# Tenta tabela primeiro
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for table in soup.find_all("table"):
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rows = table.find_all("tr")
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if len(rows) < 2:
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continue
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headers = [self.clean(th.get_text()) for th in rows[0].find_all(["th", "td"])]
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col = {(h or "").lower(): i for i, h in enumerate(headers)}
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def gcol(cells, frags):
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for k, i in col.items():
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if any(f in k for f in frags) and i < len(cells):
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return self.clean(cells[i].get_text())
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return None
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for row in rows[1:]:
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cells = row.find_all(["td", "th"])
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if not cells:
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continue
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nome = gcol(cells, ["nome", "leiloeiro"]) or self.clean(cells[0].get_text())
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if not nome or len(nome) < 3:
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continue
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results.append(self.make_leiloeiro(
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nome=nome,
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matricula=gcol(cells, ["matr", "registro"]),
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situacao=gcol(cells, ["situ", "status"]),
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municipio=gcol(cells, ["munic", "cidade"]) or "Macapa",
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telefone=gcol(cells, ["tel", "fone"]),
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email=gcol(cells, ["email"]),
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endereco=gcol(cells, ["ender", "logr"]),
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data_registro=gcol(cells, ["data", "posse"]),
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))
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if results:
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return results
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# Estrutura Laravel: h4/h5 como nome + p como detalhes
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content = soup.select_one("main, .content, article, #content, .page-content")
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if not content:
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content = soup.body
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if content:
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current: dict = {}
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for el in content.find_all(["h3", "h4", "h5", "p", "li", "strong"]):
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tag = el.name
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text = self.clean(el.get_text())
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if not text:
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continue
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if tag in ("h3", "h4", "h5"):
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if current.get("nome"):
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results.append(self.make_leiloeiro(**current))
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current = {"nome": text, "municipio": "Macapa"}
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elif current.get("nome"):
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text_lower = text.lower()
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if "matrícula" in text_lower or "matricula" in text_lower:
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m = re.search(r"\d+", text)
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if m:
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current["matricula"] = m.group()
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elif re.search(r"\d{4,5}[-\s]\d{4}", text):
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current.setdefault("telefone", text)
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elif "@" in text:
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current["email"] = text
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elif any(uf in text for uf in ["/AP", "Macapa", "Macapá", "Santana"]):
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current["endereco"] = text
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elif re.search(r"ativ|regular|cancel|suspen", text_lower):
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current["situacao"] = text
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if current.get("nome"):
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results.append(self.make_leiloeiro(**current))
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# Fallback texto plano
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if not results:
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for line in soup.get_text("\n").split("\n"):
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line = self.clean(line)
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if line and len(line) > 5 and re.match(r"^[A-ZÁÉÍÓÚÀÃÕÇ][A-ZÁÉÍÓÚÀÃÕÇ\s]{4,}$", line):
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results.append(self.make_leiloeiro(nome=line, municipio="Macapa"))
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return results
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