Betterzon/Crawler/crawler.py

108 lines
4.0 KiB
Python
Raw Normal View History

import sql
import requests
from bs4 import BeautifulSoup
HEADERS = ({'User-Agent':
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 '
'Safari/537.36'})
def crawl(product_ids: [int]) -> dict:
"""
Crawls the given list of products and saves the results to sql
:param products: The list of product IDs to fetch
:return: A dict with the following fields:
total_crawls: number of total crawl tries (products * vendors per product)
successful_crawls: number of successful products
products_with_problems: list of products that have not been crawled successfully
"""
total_crawls = 0
successful_crawls = 0
products_with_problems = []
# Iterate over every product that has to be crawled
for product_id in product_ids:
# Get all links for this product
product_links = sql.getProductLinksForProduct(product_id)
crawled_data = []
# Iterate over every link / vendor
for product_vendor_info in product_links:
total_crawls += 1
# Call the appropriate vendor crawling function and append the result to the list of crawled data
if product_vendor_info['vendor_id'] == 1:
# Amazon
data = __crawl_amazon__(product_vendor_info)
if data:
crawled_data.append(data)
elif product_vendor_info['vendor_id'] == 2:
# Apple
data = __crawl_apple__(product_vendor_info)
if data:
crawled_data.append(data)
elif product_vendor_info['vendor_id'] == 3:
# Media Markt
data = __crawl_mediamarkt__(product_vendor_info)
if data:
crawled_data.append(data)
else:
products_with_problems.append(product_vendor_info)
continue
successful_crawls += 1
# Insert data to SQL
sql.insertData(crawled_data)
return {
'total_crawls': total_crawls,
'successful_crawls': successful_crawls,
'products_with_problems': products_with_problems
}
def __crawl_amazon__(product_info: dict) -> tuple:
"""
Crawls the price for the given product from amazon
:param product_info: A dict with product info containing product_id, vendor_id, url
:return: A tuple with the crawled data, containing (product_id, vendor_id, price_in_cents)
"""
page = requests.get(product_info['url'], headers=HEADERS)
soup = BeautifulSoup(page.content, features="lxml")
try:
price = int(
soup.find(id='priceblock_ourprice').get_text().replace(".", "").replace(",", "").replace("", "").strip())
if not price:
price = int(soup.find(id='price_inside_buybox').get_text().replace(".", "").replace(",", "").replace("", "").strip())
except RuntimeError:
price = -1
except AttributeError:
price = -1
if price != -1:
return (product_info['product_id'], product_info['vendor_id'], price)
else:
return None
def __crawl_apple__(product_info: dict) -> tuple:
"""
Crawls the price for the given product from apple
:param product_info: A dict with product info containing product_id, vendor_id, url
:return: A tuple with the crawled data, containing (product_id, vendor_id, price_in_cents)
"""
# return (product_info['product_id'], product_info['vendor_id'], 123)
pass
def __crawl_mediamarkt__(product_info: dict) -> tuple:
"""
Crawls the price for the given product from media markt
:param product_info: A dict with product info containing product_id, vendor_id, url
:return: A tuple with the crawled data, containing (product_id, vendor_id, price_in_cents)
"""
pass