scraper.py

import pandas as pd
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.chrome.options import Options
from webdriver_manager.chrome import ChromeDriverManager
from selenium.webdriver.common.by import By
import time

def scrape_maps(search_query, total_results=20):
    chrome_options = Options()
   
    chrome_options.add_experimental_option("detach", True)
    
    service = Service(ChromeDriverManager().install())
    driver = webdriver.Chrome(service=service, options=chrome_options)
    
    try:
        print(f"🚀 Iniciando búsqueda: {search_query}...")
        driver.get(f"https://www.google.com/maps/search/{search_query}")
        
        
        time.sleep(5) 
        
        results = []
        
       
        listings = driver.find_elements(By.CLASS_NAME, "hfpxzc")
        
        print(f"📋 Encontrados {len(listings)} resultados preliminares. Extrayendo datos...")

        for i, list_item in enumerate(listings[:total_results]):
            try:
                name = list_item.get_attribute("aria-label")
                
                
                driver.execute_script("arguments[0].scrollIntoView();", list_item)
                
                print(f"✅ [{i+1}] Extraído: {name}")
                results.append({"Nombre": name, "Estado": "Contacto Pendiente"})
                
                
                time.sleep(1)
                
            except Exception as e:
                print(f"❌ Error en el item {i}: {e}")
                
       
        df = pd.DataFrame(results)
        df.to_csv("clientes_potenciales.csv", index=False, encoding='utf-8-sig')
        
        print("\n" + "="*40)
        print("🔥 PROCESO FINALIZADO CON ÉXITO")
        print("📁 Archivo generado: clientes_potenciales.csv")
        print("⚠️  La ventana de Chrome quedará abierta para tu grabación.")
        print("="*40)
        
    except Exception as e:
        print(f"🔴 Error general: {e}")

if __name__ == "__main__":
    
    query = "Restaurantes en Madrid"
    scrape_maps(query)