""" Scraper JUCEC — Junta Comercial do Estado do Ceará URL: https://www.jucec.ce.gov.br/leiloeiros/ Método: httpx + BeautifulSoup """ from __future__ import annotations from typing import List from .base_scraper import AbstractJuntaScraper, Leiloeiro class JucecScraper(AbstractJuntaScraper): estado = "CE" junta = "JUCEC" url = "https://www.jucec.ce.gov.br/leiloeiros/" async def parse_leiloeiros(self) -> List[Leiloeiro]: soup = await self.fetch_page() if not soup: return [] results: List[Leiloeiro] = [] tables = soup.find_all("table") for table in tables: rows = table.find_all("tr") if len(rows) < 2: continue headers = [self.clean(th.get_text()) for th in rows[0].find_all(["th", "td"])] col = {(h or "").lower(): i for i, h in enumerate(headers)} def gcol(cells, frags): for k, i in col.items(): if any(f in k for f in frags) and i < len(cells): return self.clean(cells[i].get_text()) return None for row in rows[1:]: cells = row.find_all(["td", "th"]) if not cells: continue nome = gcol(cells, ["nome"]) or self.clean(cells[0].get_text()) if not nome or len(nome) < 3: continue results.append(self.make_leiloeiro( nome=nome, matricula=gcol(cells, ["matr", "registro", "núm"]), cpf_cnpj=gcol(cells, ["cpf", "cnpj"]), situacao=gcol(cells, ["situ", "status"]), municipio=gcol(cells, ["munic", "cidade", "fortaleza"]), telefone=gcol(cells, ["tel", "fone"]), email=gcol(cells, ["email"]), endereco=gcol(cells, ["ender", "logr"]), )) if not results: for el in soup.select("ul li, ol li, .leiloeiro"): text = self.clean(el.get_text(" | ")) if text and len(text) > 5: results.append(self.make_leiloeiro(nome=text)) return results