Files
Autoparts-DB/scrape_toyota_windows.py
consultoria-as f395d67136 Initial commit: Sistema Autoparts DB
- 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
2026-01-19 08:45:03 +00:00

186 lines
6.1 KiB
Python

import requests
from bs4 import BeautifulSoup
import sqlite3
import time
import re
import os
from urllib.parse import unquote
# Base de datos - ruta directa desde C:\Autopartes
DB_PATH = "vehicle_database/vehicle_database.db"
BASE_URL = "https://www.rockauto.com/en/catalog"
MISSING_YEARS = [
2003, 2002, 2001, 2000, 1999, 1998, 1997, 1996, 1995, 1994,
1993, 1992, 1991, 1990, 1989, 1988, 1987, 1986, 1985, 1984,
1983, 1982, 1981, 1980, 1979, 1978, 1977, 1976, 1975
]
session = requests.Session()
session.headers.update({
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
'Accept': 'text/html,application/xhtml+xml',
})
def clean_name(name):
name = unquote(name.replace('+', ' '))
return re.sub(r'\s+', ' ', name).strip().upper()
def get_soup(url, retries=3):
for attempt in range(retries):
try:
time.sleep(0.5)
response = session.get(url, timeout=15)
if response.status_code == 200:
return BeautifulSoup(response.content, 'html.parser')
elif response.status_code == 403:
print("\n [!] BLOQUEADO (403) - Cambia el VPN!")
return None
except Exception as e:
if attempt < retries - 1:
time.sleep(3)
else:
print(f"\n Error: {e}")
return None
def get_models(brand, year):
brand_url = brand.lower()
soup = get_soup(f"{BASE_URL}/{brand_url},{year}")
if not soup:
return []
models = set()
for link in soup.find_all('a', href=True):
match = re.search(rf'/catalog/{brand_url},{year},([^,/]+)', link['href'], re.I)
if match:
model = clean_name(match.group(1))
if model and not model.isdigit() and len(model) > 1:
models.add(model)
return sorted(models)
def get_engines(brand, year, model):
brand_url = brand.lower()
model_url = model.lower().replace(' ', '+')
soup = get_soup(f"{BASE_URL}/{brand_url},{year},{model_url}")
if not soup:
return ['STANDARD']
engines = set()
for link in soup.find_all('a', href=True):
match = re.search(rf'/catalog/{brand_url},{year},{re.escape(model_url)},([^,/]+)', link['href'], re.I)
if match:
engine = clean_name(match.group(1))
if engine and re.search(r'\d+\.?\d*L|V\d|I\d|HYBRID|ELECTRIC|DIESEL', engine, re.I):
engines.add(engine)
return sorted(engines) if engines else ['STANDARD']
def save_to_db(conn, brand, year, model, engine):
cursor = conn.cursor()
try:
cursor.execute("INSERT OR IGNORE INTO brands (name) VALUES (?)", (brand,))
cursor.execute("SELECT id FROM brands WHERE name = ?", (brand,))
brand_id = cursor.fetchone()[0]
cursor.execute("INSERT OR IGNORE INTO years (year) VALUES (?)", (year,))
cursor.execute("SELECT id FROM years WHERE year = ?", (year,))
year_id = cursor.fetchone()[0]
cursor.execute("INSERT OR IGNORE INTO engines (name) VALUES (?)", (engine,))
cursor.execute("SELECT id FROM engines WHERE name = ?", (engine,))
engine_id = cursor.fetchone()[0]
cursor.execute("INSERT OR IGNORE INTO models (brand_id, name) VALUES (?, ?)", (brand_id, model))
cursor.execute("SELECT id FROM models WHERE brand_id = ? AND name = ?", (brand_id, model))
model_id = cursor.fetchone()[0]
cursor.execute(
"INSERT OR IGNORE INTO model_year_engine (model_id, year_id, engine_id) VALUES (?, ?, ?)",
(model_id, year_id, engine_id)
)
return cursor.rowcount > 0
except:
return False
def get_existing_years(conn, brand):
cursor = conn.cursor()
cursor.execute("""
SELECT DISTINCT y.year FROM years y
JOIN model_year_engine mye ON y.id = mye.year_id
JOIN models m ON mye.model_id = m.id
JOIN brands b ON m.brand_id = b.id
WHERE b.name = ?
""", (brand,))
return set(row[0] for row in cursor.fetchall())
def main():
brand = "TOYOTA"
print("=" * 50)
print(" SCRAPER TOYOTA - WINDOWS")
print(" 3 anos por lote, 60 seg pausa para VPN")
print("=" * 50)
if not os.path.exists(DB_PATH):
print(f"\n[ERROR] No encuentro: {DB_PATH}")
print("Asegurate de correr desde C:\\Autopartes")
input("Presiona ENTER para salir...")
return
conn = sqlite3.connect(DB_PATH)
existing = get_existing_years(conn, brand)
years_to_do = [y for y in MISSING_YEARS if y not in existing]
if not years_to_do:
print("\nTodos los anos ya estan!")
conn.close()
return
print(f"\nFaltan {len(years_to_do)} anos: {years_to_do[0]} a {years_to_do[-1]}")
batches = [years_to_do[i:i+3] for i in range(0, len(years_to_do), 3)]
print(f"Lotes: {len(batches)}")
input("\nPresiona ENTER para comenzar...")
total_saved = 0
for batch_num, batch in enumerate(batches, 1):
print(f"\n{'='*50}")
print(f"LOTE {batch_num}/{len(batches)}: {batch}")
print("="*50)
for year in batch:
print(f"\n[{year}] ", end="", flush=True)
models = get_models(brand, year)
print(f"{len(models)} modelos")
for model in models:
engines = get_engines(brand, year, model)
for engine in engines:
if save_to_db(conn, brand, year, model, engine):
total_saved += 1
print(f" {model} - {engine}")
conn.commit()
print(f"\n>> Guardado! Total nuevos: {total_saved}")
if batch_num < len(batches):
print(f"\n{'*'*50}")
print(" PAUSA 60 SEG - CAMBIA EL VPN AHORA!")
print(f" Faltan {len(batches) - batch_num} lotes")
print("*"*50)
for s in range(60, 0, -1):
print(f"\r Continua en {s}s... ", end="", flush=True)
time.sleep(1)
print()
conn.close()
print(f"\n{'='*50}")
print(f" LISTO! Guardados: {total_saved} vehiculos nuevos")
print("="*50)
input("Presiona ENTER para salir...")
if __name__ == "__main__":
main()