Files
leadradar/backend/app/services/scraper_service.py
T

345 lines
16 KiB
Python

import logging
import re
import time
from typing import List, Dict, Any
from app.extensions import db
from app.models.lead import Lead
from app.models.lead_interacao import LeadInteracao
from app.utils.sanitizers import sanitize_phone, sanitize_cep
from app.services.geocoding_service import GeocodingService
logger = logging.getLogger(__name__)
class ScraperService:
@staticmethod
def scrape_google_maps(search_query: str, max_results: int = 15, headless: bool = True) -> List[Dict[str, Any]]:
"""
Executa o Playwright em modo headless para buscar no Google Maps.
Clica em cada estabelecimento para abrir o painel lateral de detalhes
e extrair dados completos: Telefone, Endereço completo, Website e Rating.
"""
results = []
try:
from playwright.sync_api import sync_playwright
except ImportError:
logger.error("Playwright não está instalado no ambiente.")
return results
try:
with sync_playwright() as p:
browser = p.chromium.launch(
headless=headless,
args=[
'--no-sandbox',
'--disable-setuid-sandbox',
'--disable-dev-shm-usage',
'--disable-blink-features=AutomationControlled',
'--lang=pt-BR'
]
)
context = browser.new_context(
viewport={'width': 1366, 'height': 768},
user_agent='Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36',
locale='pt-BR'
)
page = context.new_page()
page.add_init_script("Object.defineProperty(navigator, 'webdriver', {get: () => undefined})")
encoded_query = search_query.replace(' ', '+')
url = f"https://www.google.com/maps/search/{encoded_query}"
logger.info(f"Iniciando varredura detalhada no Maps: {url}")
page.goto(url, wait_until='domcontentloaded', timeout=40000)
time.sleep(3)
# Aceitar cookies se houver modal
try:
accept_btn = page.query_selector("button[aria-label*='Aceitar'], button[aria-label*='Accept']")
if accept_btn:
accept_btn.click()
time.sleep(1)
except Exception:
pass
feed_selector = "div[role='feed']"
has_feed = True
try:
page.wait_for_selector(feed_selector, timeout=8000)
except Exception:
has_feed = False
logger.info("Feed de múltiplos resultados não localizado. Verificando painel de resultado único.")
# Se houver feed de múltiplos resultados, fazer scroll progressivo
if has_feed:
for _ in range(min(6, (max_results // 3) + 2)):
page.evaluate(f"""
const feed = document.querySelector("{feed_selector}");
if (feed) {{
feed.scrollBy(0, 1000);
}}
""")
time.sleep(1.0)
card_elements = page.query_selector_all("a[href*='/maps/place/']")
seen_urls = set()
for card in card_elements:
if len(results) >= max_results:
break
try:
href = card.get_attribute("href")
if not href or href in seen_urls:
continue
seen_urls.add(href)
# Clicar no card para abrir o painel lateral de detalhes no Maps
try:
card.click()
time.sleep(1.2)
except Exception:
pass
detail_panel = page.query_selector("div[role='main']") or page.query_selector("div.m6QEbd")
detail_text = detail_panel.inner_text() if detail_panel else card.inner_text()
# 1. Nome da Empresa (h1 do painel ou aria-label do card)
h1_elem = page.query_selector("h1")
nome_empresa = ""
if h1_elem:
nome_empresa = h1_elem.inner_text().strip()
if not nome_empresa:
nome_empresa = (card.get_attribute("aria-label") or "").strip()
if not nome_empresa:
lines = [l.strip() for l in card.inner_text().split('\n') if l.strip()]
nome_empresa = lines[0] if lines else ""
if not nome_empresa:
continue
# 2. Telefone detalhado
telefone_raw = ""
phone_btn = page.query_selector("button[data-tooltip*='telefone'], button[data-item-id*='phone'], [aria-label*='Telefone'], [aria-label*='Ligar']")
if phone_btn:
phone_attr = phone_btn.get_attribute("aria-label") or phone_btn.inner_text()
phone_match = re.search(r'(\(?\d{2}\)?\s*9?\d{4}[-.\s]?\d{4})', phone_attr)
if phone_match:
telefone_raw = phone_match.group(1)
if not telefone_raw:
phone_match = re.search(r'(\(?\d{2}\)?\s*9?\d{4}[-.\s]?\d{4})', detail_text)
if phone_match:
telefone_raw = phone_match.group(1)
# 3. Endereço Completo
endereco = ""
addr_btn = page.query_selector("button[data-tooltip*='endereço'], button[data-item-id*='address'], [aria-label*='Endereço']")
if addr_btn:
addr_text = addr_btn.get_attribute("aria-label") or addr_btn.inner_text()
addr_clean = re.sub(r'^[Ee]ndereço:\s*', '', addr_text).strip()
if addr_clean:
endereco = addr_clean
if not endereco:
for line in detail_text.split('\n'):
line_str = line.strip()
if any(term in line_str.lower() for term in ['r.', 'rua', 'av.', 'avenida', 'alameda', 'bairro', 'praça', '', 'dr.', 'centro', 'sp', 'rj', 'mg']):
if line_str != nome_empresa and not re.search(r'^\d\.\d', line_str):
endereco = line_str
break
# 4. Website
website = ""
site_btn = page.query_selector("a[data-tooltip*='site'], a[data-item-id*='authority']")
if site_btn:
website = site_btn.get_attribute("href") or ""
# 5. Rating e Avaliações
rating = 0.0
total_avaliacoes = 0
rating_match = re.search(r'([1-5][.,]\d)\s*(?:\(([\d.,]+)\))?', detail_text)
if rating_match:
try:
rating = float(rating_match.group(1).replace(',', '.'))
if rating_match.group(2):
total_avaliacoes = int(re.sub(r'\D', '', rating_match.group(2)))
except ValueError:
pass
results.append({
'nome_empresa': nome_empresa,
'telefone': telefone_raw,
'endereco': endereco,
'google_rating': rating,
'total_avaliacoes': total_avaliacoes,
'google_maps_url': href,
'website': website
})
except Exception as item_err:
logger.error(f"Erro ao detalhar lugar do Maps: {item_err}")
continue
else:
# Se for resultado único direto
try:
h1_elem = page.query_selector("h1")
if h1_elem:
nome_empresa = h1_elem.inner_text().strip()
detail_panel = page.query_selector("div[role='main']") or page.query_selector("div.m6QEbd")
detail_text = detail_panel.inner_text() if detail_panel else ""
telefone_raw = ""
phone_btn = page.query_selector("button[data-tooltip*='telefone'], button[data-item-id*='phone'], [aria-label*='Telefone']")
if phone_btn:
phone_match = re.search(r'(\(?\d{2}\)?\s*9?\d{4}[-.\s]?\d{4})', phone_btn.get_attribute("aria-label") or phone_btn.inner_text())
if phone_match:
telefone_raw = phone_match.group(1)
endereco = ""
addr_btn = page.query_selector("button[data-tooltip*='endereço'], button[data-item-id*='address']")
if addr_btn:
endereco = re.sub(r'^[Ee]ndereço:\s*', '', addr_btn.get_attribute("aria-label") or addr_btn.inner_text()).strip()
website = ""
site_btn = page.query_selector("a[data-tooltip*='site'], a[data-item-id*='authority']")
if site_btn:
website = site_btn.get_attribute("href") or ""
rating = 0.0
total_avaliacoes = 0
rating_match = re.search(r'([1-5][.,]\d)\s*(?:\(([\d.,]+)\))?', detail_text)
if rating_match:
try:
rating = float(rating_match.group(1).replace(',', '.'))
if rating_match.group(2):
total_avaliacoes = int(re.sub(r'\D', '', rating_match.group(2)))
except ValueError:
pass
results.append({
'nome_empresa': nome_empresa,
'telefone': telefone_raw,
'endereco': endereco,
'google_rating': rating,
'total_avaliacoes': total_avaliacoes,
'google_maps_url': page.url,
'website': website
})
except Exception as single_err:
logger.error(f"Erro ao processar resultado único no Maps: {single_err}")
browser.close()
except Exception as err:
logger.error(f"Erro na execução do Playwright Scraper detalhado: {err}")
return results
@staticmethod
def process_and_persist_leads(cep: str, ramo: str, scraped_items: List[Dict[str, Any]], usuario_id: str = None) -> Dict[str, Any]:
"""
Gera leads enriquecidos a partir dos dados do geocoding + scraping, aplicando deduplicação.
"""
location = GeocodingService.get_location_by_cep(cep)
if 'error' in location:
location = {
'cep': sanitize_cep(cep),
'logradouro': '',
'bairro': '',
'cidade': 'Não especificada',
'uf': '',
'formatted_cep': cep
}
created_count = 0
updated_count = 0
persisted_leads = []
for item in scraped_items:
nome_empresa = item.get('nome_empresa', '').strip()
if not nome_empresa:
continue
tel_raw = item.get('telefone', '')
tel_sanitizado = sanitize_phone(tel_raw)
cidade = location.get('cidade') or item.get('cidade') or ''
# Deduplicação: (nome_empresa, telefone_sanitizado, cidade)
query = Lead.query.filter(
Lead.nome_empresa.ilike(nome_empresa),
Lead.cidade.ilike(cidade)
)
if tel_sanitizado:
query = query.filter(Lead.telefone_sanitizado == tel_sanitizado)
existing_lead = query.first()
if existing_lead:
if tel_raw and not existing_lead.telefone:
existing_lead.telefone = tel_raw
existing_lead.telefone_sanitizado = tel_sanitizado
if item.get('google_rating') and item['google_rating'] > 0:
existing_lead.google_rating = item['google_rating']
if item.get('total_avaliacoes'):
existing_lead.total_avaliacoes = item['total_avaliacoes']
if item.get('google_maps_url'):
existing_lead.google_maps_url = item['google_maps_url']
if item.get('website') and not existing_lead.website:
existing_lead.website = item['website']
existing_lead.atualizado_em = db.func.now()
interacao = LeadInteracao(
lead_id=existing_lead.id,
usuario_id=usuario_id,
tipo='lead_atualizado',
descricao='Lead re-encontrado em nova busca e atualizado.',
metadados={'ramo_busca': ramo, 'cep_busca': cep}
)
db.session.add(interacao)
updated_count += 1
persisted_leads.append(existing_lead)
else:
new_lead = Lead(
nome_empresa=nome_empresa,
ramo_atividade=ramo,
cep_busca=location.get('formatted_cep', cep),
logradouro=location.get('logradouro') or item.get('endereco', ''),
bairro=location.get('bairro', ''),
cidade=cidade,
uf=location.get('uf', ''),
telefone=tel_raw,
telefone_sanitizado=tel_sanitizado,
whatsapp_valido=True if tel_sanitizado else False,
website=item.get('website', ''),
google_rating=item.get('google_rating', 0.0),
total_avaliacoes=item.get('total_avaliacoes', 0),
google_maps_url=item.get('google_maps_url', ''),
status_funil='novo',
tags=[ramo],
notas=f"Capturado no Google Maps em {cep}.",
usuario_responsavel_id=usuario_id
)
db.session.add(new_lead)
db.session.flush()
interacao = LeadInteracao(
lead_id=new_lead.id,
usuario_id=usuario_id,
tipo='lead_criado',
descricao=f'Lead capturado no Maps para ramo "{ramo}" e CEP {cep}.',
metadados={'query_cep': cep, 'ramo': ramo}
)
db.session.add(interacao)
created_count += 1
persisted_leads.append(new_lead)
db.session.commit()
return {
'location': location,
'created_count': created_count,
'updated_count': updated_count,
'total_processed': len(scraped_items),
'leads': [l.to_dict() for l in persisted_leads]
}