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26ba21156a
* BETTERZON-58: Basic Functionality with scrapy * Added independent crawler function, yielding price * moved logic to amazon.py * . * moved scrapy files to unused folder * Added basic amazon crawler using beautifulsoup4 * Connected Api to Crawler * Fixed string concatenation for sql statement in getProductLinksForProduct * BETTERZON-58: Fixing SQL insert * BETTERZON-58: Adding access key verification * BETTERZON-58: Fixing API endpoint of the crawler - The list of products in the API request was treated like a string and henceforth, only the first product has been crawled * Added another selector for price on amazon (does not work for books) Co-authored-by: root <root@DESKTOP-ARBPL82.localdomain> Co-authored-by: Patrick Müller <patrick@mueller-patrick.tech> Co-authored-by: Patrick <50352812+Mueller-Patrick@users.noreply.github.com>
108 lines
4.0 KiB
Python
108 lines
4.0 KiB
Python
import sql
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import requests
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from bs4 import BeautifulSoup
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HEADERS = ({'User-Agent':
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'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/81.0.4044.138 '
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'Safari/537.36'})
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def crawl(product_ids: [int]) -> dict:
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"""
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Crawls the given list of products and saves the results to sql
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:param products: The list of product IDs to fetch
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:return: A dict with the following fields:
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total_crawls: number of total crawl tries (products * vendors per product)
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successful_crawls: number of successful products
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products_with_problems: list of products that have not been crawled successfully
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"""
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total_crawls = 0
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successful_crawls = 0
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products_with_problems = []
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# Iterate over every product that has to be crawled
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for product_id in product_ids:
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# Get all links for this product
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product_links = sql.getProductLinksForProduct(product_id)
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crawled_data = []
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# Iterate over every link / vendor
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for product_vendor_info in product_links:
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total_crawls += 1
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# Call the appropriate vendor crawling function and append the result to the list of crawled data
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if product_vendor_info['vendor_id'] == 1:
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# Amazon
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data = __crawl_amazon__(product_vendor_info)
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if data:
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crawled_data.append(data)
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elif product_vendor_info['vendor_id'] == 2:
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# Apple
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data = __crawl_apple__(product_vendor_info)
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if data:
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crawled_data.append(data)
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elif product_vendor_info['vendor_id'] == 3:
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# Media Markt
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data = __crawl_mediamarkt__(product_vendor_info)
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if data:
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crawled_data.append(data)
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else:
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products_with_problems.append(product_vendor_info)
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continue
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successful_crawls += 1
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# Insert data to SQL
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sql.insertData(crawled_data)
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return {
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'total_crawls': total_crawls,
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'successful_crawls': successful_crawls,
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'products_with_problems': products_with_problems
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}
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def __crawl_amazon__(product_info: dict) -> tuple:
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"""
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Crawls the price for the given product from amazon
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:param product_info: A dict with product info containing product_id, vendor_id, url
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:return: A tuple with the crawled data, containing (product_id, vendor_id, price_in_cents)
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"""
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page = requests.get(product_info['url'], headers=HEADERS)
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soup = BeautifulSoup(page.content, features="lxml")
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try:
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price = int(
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soup.find(id='priceblock_ourprice').get_text().replace(".", "").replace(",", "").replace("€", "").strip())
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if not price:
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price = int(soup.find(id='price_inside_buybox').get_text().replace(".", "").replace(",", "").replace("€", "").strip())
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except RuntimeError:
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price = -1
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except AttributeError:
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price = -1
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if price != -1:
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return (product_info['product_id'], product_info['vendor_id'], price)
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else:
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return None
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def __crawl_apple__(product_info: dict) -> tuple:
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"""
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Crawls the price for the given product from apple
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:param product_info: A dict with product info containing product_id, vendor_id, url
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:return: A tuple with the crawled data, containing (product_id, vendor_id, price_in_cents)
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"""
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# return (product_info['product_id'], product_info['vendor_id'], 123)
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pass
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def __crawl_mediamarkt__(product_info: dict) -> tuple:
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"""
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Crawls the price for the given product from media markt
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:param product_info: A dict with product info containing product_id, vendor_id, url
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:return: A tuple with the crawled data, containing (product_id, vendor_id, price_in_cents)
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"""
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pass
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