BETTERZON-58 (#53)

* 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>

Crawler/Crawler.iml

@@ -2,13 +2,13 @@
 <module type="WEB_MODULE" version="4">
   <component name="FacetManager">
     <facet type="Python" name="Python">
-      <configuration sdkName="Python 3.9" />
+      <configuration sdkName="Python 3.9 (venv)" />
     </facet>
   </component>
   <component name="NewModuleRootManager" inherit-compiler-output="true">
     <exclude-output />
     <content url="file://$MODULE_DIR$" />
     <orderEntry type="sourceFolder" forTests="false" />
-    <orderEntry type="library" name="Python 3.9 interpreter library" level="application" />
+    <orderEntry type="library" name="Python 3.9 (venv) interpreter library" level="application" />
   </component>
 </module>

Crawler/api.py

@@ -1,13 +1,17 @@
+import os
+
 from flask import Flask
 from flask_restful import Resource, Api, reqparse
 
+import crawler
+
 app = Flask(__name__)
 api = Api(app)
 
 # To parse request data
 parser = reqparse.RequestParser()
-parser.add_argument('key')
-parser.add_argument('products')
+parser.add_argument('key', type=str)
+parser.add_argument('products', type=int, action='append')
 
 
 class CrawlerApi(Resource):
@@ -17,7 +21,12 @@ class CrawlerApi(Resource):
     def post(self):
         # Accept crawler request here
         args = parser.parse_args()
-        return args
+        access_key = os.getenv('CRAWLER_ACCESS_KEY')
+        if(args['key'] == access_key):
+            crawler.crawl(args['products'])
+            return {'message': 'success'}
+        else:
+            return {'message': 'Wrong access key'}
 
 
 api.add_resource(CrawlerApi, '/')

Crawler/crawler.py

@@ -1,78 +1,107 @@
-import sql
-
-
-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
-                crawled_data.append(__crawl_amazon__(product_vendor_info))
-            elif product_vendor_info['vendor_id'] == 2:
-                # Apple
-                crawled_data.append(__crawl_apple__(product_vendor_info))
-            elif product_vendor_info['vendor_id'] == 3:
-                # Media Markt
-                crawled_data.append(__crawl_mediamarkt__(product_vendor_info))
-            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)
-    """
-    return (product_info['product_id'], product_info['vendor_id'], 123)
-
-
-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)
-
-
-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
+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

Crawler/crawler/spiders/amazon.py

@@ -1,66 +0,0 @@
-# -*- coding: utf-8 -*-
-import scrapy
-from urllib.parse import urlencode
-from urllib.parse import urljoin
-import re
-import json
-
-queries = ['iphone']
-API = ''
-
-
-def get_url(url):
-    payload = {'api_key': API, 'url': url, 'country_code': 'us'}
-    proxy_url = 'http://api.scraperapi.com/?' + urlencode(payload)
-    return proxy_url
-
-
-class AmazonSpider(scrapy.Spider):
-    name = 'amazon'
-
-    def start_requests(self):
-        for query in queries:
-            url = 'https://www.amazon.de/s?' + urlencode({'k': query})
-            yield scrapy.Request(url=url, callback=self.parse_keyword_response)
-
-    def parse_keyword_response(self, response):
-        products = response.xpath('//*[@data-asin]')
-
-        for product in products:
-            asin = product.xpath('@data-asin').extract_first()
-            product_url = f"https://www.amazon.de/dp/{asin}"
-            yield scrapy.Request(url=product_url, callback=self.parse_product_page, meta={'asin': asin})
-
-        next_page = response.xpath('//li[@class="a-last"]/a/@href').extract_first()
-        if next_page:
-            url = urljoin("https://www.amazon.de", next_page)
-            yield scrapy.Request(url=url, callback=self.parse_keyword_response)
-
-    def parse_product_page(self, response):
-        asin = response.meta['asin']
-        title = response.xpath('//*[@id="productTitle"]/text()').extract_first()
-        image = re.search('"large":"(.*?)"', response.text).groups()[0]
-        rating = response.xpath('//*[@id="acrPopover"]/@title').extract_first()
-        number_of_reviews = response.xpath('//*[@id="acrCustomerReviewText"]/text()').extract_first()
-        price = response.xpath('//*[@id="priceblock_ourprice"]/text()').extract_first()
-
-        if not price:
-            price = response.xpath('//*[@data-asin-price]/@data-asin-price').extract_first() or \
-                    response.xpath('//*[@id="price_inside_buybox"]/text()').extract_first()
-
-        temp = response.xpath('//*[@id="twister"]')
-        sizes = []
-        colors = []
-        if temp:
-            s = re.search('"variationValues" : ({.*})', response.text).groups()[0]
-            json_acceptable = s.replace("'", "\"")
-            di = json.loads(json_acceptable)
-            sizes = di.get('size_name', [])
-            colors = di.get('color_name', [])
-
-        bullet_points = response.xpath('//*[@id="feature-bullets"]//li/span/text()').extract()
-        seller_rank = response.xpath(
-            '//*[text()="Amazon Best Sellers Rank:"]/parent::*//text()[not(parent::style)]').extract()
-        yield {'asin': asin, 'Title': title, 'MainImage': image, 'Rating': rating, 'NumberOfReviews': number_of_reviews,
-               'Price': price, 'AvailableSizes': sizes, 'AvailableColors': colors, 'BulletPoints': bullet_points,
-               'SellerRank': seller_rank}

Crawler/requirements.txt

@@ -1,5 +1,7 @@
 pymysql
-flask
+flask==1.1.2
 flask-sqlalchemy
 flask_restful
-scrapy
+beautifulsoup4
+requests
+lxml

Crawler/sql.py

@@ -54,7 +54,6 @@ def getProductLinksForProduct(product_id: int) -> [dict]:
     cur = conn.cursor()
 
     query = 'SELECT vendor_id, url FROM product_links WHERE product_id = %s'
-
     cur.execute(query, (product_id,))
 
     products = list(map(lambda x: {'product_id': product_id, 'vendor_id': x[0], 'url': x[1]}, cur.fetchall()))

Crawler/unused/scrapy/amazonspider.py

@@ -0,0 +1,33 @@
+import scrapy
+from scrapy.crawler import CrawlerProcess
+import re
+
+class AmazonSpider(scrapy.Spider):
+    name = 'amazon'
+    allowed_domains = ['amazon.de']
+    start_urls = ['https://amazon.de/dp/B083DRCPJG']
+
+    # def __init__(self, start_urls):
+    #   self.start_urls = start_urls
+
+    def parse(self, response):
+        price = response.xpath('//*[@id="priceblock_ourprice"]/text()').extract_first()
+        if not price:
+            price = response.xpath('//*[@data-asin-price]/@data-asin-price').extract_first() or \
+                    response.xpath('//*[@id="price_inside_buybox"]/text()').extract_first()
+
+        euros = re.match('(\d*),\d\d', price).group(1)
+        cents = re.match('\d*,(\d\d)', price).group(1)
+        priceincents = euros + cents
+
+        yield {'price': priceincents}
+
+
+def start_crawling():
+    process = CrawlerProcess(
+        settings={'COOKIES_ENABLED': 'False', 'CONCURRENT_REQUESTS_PER_IP': 1, 'ROBOTSTXT_OBEY': False,
+                  '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',
+                  'DOWNLOAD_DELAY': 3}
+        , install_root_handler=False)
+    process.crawl()
+    process.start()

Crawler/unused/scrapy/scrapy.cfg

@@ -8,4 +8,4 @@ default = crawler.settings
 
 [deploy]
 #url = http://localhost:6800/
-project = crawler
+project = crawler

Crawler/unused/scrapy/spiders/amazon.py

@@ -0,0 +1,25 @@
+import scrapy
+import re
+
+class AmazonSpider(scrapy.Spider):
+    name = 'amazon'
+    allowed_domains = ['amazon.de']
+    start_urls = ['https://amazon.de/dp/B083DRCPJG']
+
+    def parse(self, response):
+        price = response.xpath('//*[@id="priceblock_ourprice"]/text()').extract_first()
+        if not price:
+            price = response.xpath('//*[@data-asin-price]/@data-asin-price').extract_first() or \
+                    response.xpath('//*[@id="price_inside_buybox"]/text()').extract_first()
+
+        euros = re.match('(\d*),\d\d', price).group(1)
+        cents = re.match('\d*,(\d\d)', price).group(1)
+        priceincents = euros + cents
+
+        yield {'price': priceincents}
+
+
+
+
+
+