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>
This commit is contained in:
henningxtro 2021-05-19 00:46:14 +02:00 committed by GitHub
parent 3ae68b3df3
commit 26ba21156a
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15 changed files with 184 additions and 153 deletions

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@ -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" />
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@ -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, '/')

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@ -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

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@ -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}

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

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@ -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()))

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@ -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()

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

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@ -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}