consultoria-as
f395d67136
- Base de datos SQLite con información de vehículos - Dashboard web con Flask y Bootstrap - Scripts de web scraping para RockAuto - Interfaz CLI para consultas - Documentación completa del proyecto Incluye: - 12 marcas de vehículos - 10,923 modelos - 10,919 especificaciones de motores - 12,075 combinaciones modelo-año-motor
241 lines
7.9 KiB
Python
241 lines
7.9 KiB
Python
#!/usr/bin/env python3
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"""
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Scraper de Toyota para Windows
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- Procesa de 3 en 3 años
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- Espera 60 segundos entre lotes para activar VPN
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- Años faltantes: 1975-2003
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"""
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import requests
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from bs4 import BeautifulSoup
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import sqlite3
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import time
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import re
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import os
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import sys
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from urllib.parse import unquote
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# Detectar ruta base del proyecto
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SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
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# Si estamos en vehicle_scraper, subir un nivel
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if os.path.basename(SCRIPT_DIR) == "vehicle_scraper":
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BASE_DIR = os.path.dirname(SCRIPT_DIR)
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else:
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BASE_DIR = SCRIPT_DIR
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DB_PATH = os.path.join(BASE_DIR, "vehicle_database", "vehicle_database.db")
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BASE_URL = "https://www.rockauto.com/en/catalog"
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# Años que faltan por scrapear
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MISSING_YEARS = [
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2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994,
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1993, 1992, 1991, 1990, 1989, 1988, 1987, 1986, 1985, 1984,
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1983, 1982, 1981, 1980, 1979, 1978, 1977, 1976, 1975
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]
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session = requests.Session()
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session.headers.update({
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'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36',
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'Accept': 'text/html,application/xhtml+xml',
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'Accept-Language': 'en-US,en;q=0.9',
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})
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def clean_name(name):
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name = unquote(name.replace('+', ' '))
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return re.sub(r'\s+', ' ', name).strip().upper()
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def get_soup(url, retries=3):
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for attempt in range(retries):
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try:
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time.sleep(0.5)
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response = session.get(url, timeout=15)
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if response.status_code == 200:
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return BeautifulSoup(response.content, 'html.parser')
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elif response.status_code == 403:
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print(f"\n [!] Bloqueado (403) - Cambia el VPN")
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return None
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except Exception as e:
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if attempt < retries - 1:
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time.sleep(3)
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else:
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print(f"\n Error: {e}")
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return None
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def get_models(brand, year):
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brand_url = brand.lower().replace(' ', '+')
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soup = get_soup(f"{BASE_URL}/{brand_url},{year}")
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if not soup:
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return []
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models = set()
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for link in soup.find_all('a', href=True):
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pattern = rf'/catalog/{re.escape(brand_url)},{year},([^,/]+)'
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match = re.search(pattern, link['href'], re.I)
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if match:
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model = clean_name(match.group(1))
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if model and not model.isdigit() and len(model) > 1:
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models.add(model)
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return sorted(models)
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def get_engines(brand, year, model):
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brand_url = brand.lower().replace(' ', '+')
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model_url = model.lower().replace(' ', '+')
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soup = get_soup(f"{BASE_URL}/{brand_url},{year},{model_url}")
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if not soup:
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return ['STANDARD']
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engines = set()
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for link in soup.find_all('a', href=True):
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pattern = rf'/catalog/{re.escape(brand_url)},{year},{re.escape(model_url)},([^,/]+)'
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match = re.search(pattern, link['href'], re.I)
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if match:
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engine = clean_name(match.group(1))
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if engine and re.search(r'\d+\.?\d*L|V\d|I\d|H\d|HYBRID|ELECTRIC|DIESEL', engine, re.I):
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engines.add(engine)
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return sorted(engines) if engines else ['STANDARD']
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def save_to_db(conn, brand, year, model, engine):
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cursor = conn.cursor()
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try:
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cursor.execute("INSERT OR IGNORE INTO brands (name) VALUES (?)", (brand,))
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cursor.execute("SELECT id FROM brands WHERE name = ?", (brand,))
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brand_id = cursor.fetchone()[0]
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cursor.execute("INSERT OR IGNORE INTO years (year) VALUES (?)", (year,))
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cursor.execute("SELECT id FROM years WHERE year = ?", (year,))
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year_id = cursor.fetchone()[0]
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cursor.execute("INSERT OR IGNORE INTO engines (name) VALUES (?)", (engine,))
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cursor.execute("SELECT id FROM engines WHERE name = ?", (engine,))
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engine_id = cursor.fetchone()[0]
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cursor.execute("INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)", (brand_id, model))
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cursor.execute("SELECT id FROM models WHERE brand_id = ? AND name = ?", (brand_id, model))
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model_id = cursor.fetchone()[0]
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cursor.execute(
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"INSERT OR IGNORE INTO model_year_engine (model_id, year_id, engine_id) VALUES (?, ?, ?)",
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(model_id, year_id, engine_id)
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)
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return cursor.rowcount > 0
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except Exception as e:
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print(f" DB Error: {e}")
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return False
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def get_existing_years(conn, brand):
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"""Obtiene los años que ya existen para esta marca"""
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cursor = conn.cursor()
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cursor.execute("""
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SELECT DISTINCT y.year
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FROM years y
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JOIN model_year_engine mye ON y.id = mye.year_id
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JOIN models m ON mye.model_id = m.id
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JOIN brands b ON m.brand_id = b.id
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WHERE b.name = ?
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""", (brand,))
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return set(row[0] for row in cursor.fetchall())
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def process_batch(conn, brand, years_batch, batch_num, total_batches):
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"""Procesa un lote de 3 años"""
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print(f"\n{'='*60}")
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print(f"LOTE {batch_num}/{total_batches}: Años {years_batch}")
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print('='*60)
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batch_saved = 0
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batch_total = 0
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for year in years_batch:
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print(f"\n[Año {year}] Obteniendo modelos... ", end="", flush=True)
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models = get_models(brand, year)
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print(f"{len(models)} modelos encontrados")
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if not models:
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print(f" No se encontraron modelos para {year}")
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continue
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for model in models:
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engines = get_engines(brand, year, model)
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for engine in engines:
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batch_total += 1
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if save_to_db(conn, brand, year, model, engine):
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batch_saved += 1
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print(f" {model} - {engine}")
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# Guardar cambios del lote
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conn.commit()
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print(f"\n>> Lote {batch_num} completado: {batch_saved} nuevos de {batch_total} encontrados")
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return batch_saved, batch_total
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def main():
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brand = "TOYOTA"
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print("="*60)
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print(" SCRAPER TOYOTA - WINDOWS")
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print(" Procesa 3 años, guarda, espera 60s para VPN")
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print("="*60)
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# Verificar base de datos
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if not os.path.exists(DB_PATH):
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print(f"\n[ERROR] Base de datos no encontrada: {DB_PATH}")
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print("Verifica que la ruta sea correcta.")
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sys.exit(1)
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print(f"\nBase de datos: {DB_PATH}")
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conn = sqlite3.connect(DB_PATH)
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# Verificar qué años ya existen
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existing = get_existing_years(conn, brand)
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print(f"Años existentes de {brand}: {sorted(existing)}")
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# Filtrar solo los que faltan
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years_to_process = [y for y in MISSING_YEARS if y not in existing]
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if not years_to_process:
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print("\n[OK] Todos los años ya están en la base de datos!")
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conn.close()
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return
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print(f"\nAños por procesar: {years_to_process}")
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print(f"Total: {len(years_to_process)} años")
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# Dividir en lotes de 3
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batches = [years_to_process[i:i+3] for i in range(0, len(years_to_process), 3)]
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total_batches = len(batches)
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print(f"Lotes de 3 años: {total_batches} lotes")
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input("\nPresiona ENTER para comenzar...")
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total_saved = 0
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total_found = 0
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for i, batch in enumerate(batches, 1):
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saved, found = process_batch(conn, brand, batch, i, total_batches)
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total_saved += saved
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total_found += found
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# Si no es el último lote, esperar para cambiar VPN
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if i < total_batches:
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print(f"\n{'*'*60}")
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print(f" PAUSA DE 60 SEGUNDOS - ACTIVA/CAMBIA EL VPN AHORA")
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print(f" Lotes restantes: {total_batches - i}")
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print(f"{'*'*60}")
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for sec in range(60, 0, -1):
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print(f"\r Continuando en {sec} segundos... ", end="", flush=True)
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time.sleep(1)
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print()
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conn.close()
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print("\n" + "="*60)
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print(" RESUMEN FINAL - TOYOTA")
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print("="*60)
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print(f" Años procesados: {len(years_to_process)}")
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print(f" Vehículos encontrados: {total_found}")
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print(f" Nuevos guardados: {total_saved}")
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print("="*60)
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if __name__ == "__main__":
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main()
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