708 lines
32 KiB
Python
708 lines
32 KiB
Python
import pandas as pd
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from openpyxl import load_workbook, Workbook
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from openpyxl.worksheet.worksheet import Worksheet
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import requests
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import re
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import time
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import random
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from playwright.sync_api import sync_playwright, Browser, Page
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from playwright.async_api import async_playwright
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import asyncio
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from aioconsole import ainput
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from collections import defaultdict
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from datetime import datetime, timedelta
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class Product_Scraper:
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domain: str
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page: Page
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def __init__(self, domain):
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print("Setting up browser automation")
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self.domain = domain
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@staticmethod
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def parse_cost(cost_text):
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if not cost_text:
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return None
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cost_clean = re.sub(r'[^\d,]', '', cost_text)
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try:
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return float(cost_clean) / 100
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except ValueError:
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return None
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@classmethod
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def parse_cost_from_pennies(cls, cost_text):
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if not cost_text:
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return None
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cost_clean = cls.parse_cost(cost_text = cost_text)
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if cost_clean is not None:
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cost_clean = cost_clean / 100
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return cost_clean
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@classmethod
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def parse_cost_chaoscards(cls, cost_text):
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return cls.parse_cost(cost_text = cost_text)
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@classmethod
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def parse_cost_cardmarket(cls, cost_text):
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"""Convert '141,30 €' format to float in EUR"""
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if not cost_text:
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return None
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cost_clean = re.sub(r'[^\d,]', '', cost_text)
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cost_clean = cost_clean.replace(',', '.')
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try:
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return float(cost_clean)
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except ValueError:
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return None
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@classmethod
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def parse_cost_gameslore(cls, cost_text):
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return cls.parse_cost(cost_text = cost_text)
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@classmethod
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def parse_cost_magicmadhouse(cls, cost_text):
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return cls.parse_cost(cost_text = cost_text)
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@classmethod
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def parse_cost_newrealitiesgaming(cls, cost_text):
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return cls.parse_cost(cost_text = cost_text)
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async def scrape_cost_and_active_playwright(self, browser: Browser, url, page_load_element_selector, cost_selector, active_selector, invalid_active_statuses):
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print(f" Loading page...")
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self.page = await browser.new_page()
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await self.page.goto(url = url)
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await asyncio.sleep(random.uniform(20, 25))
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cost = None
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active = None
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try:
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element = self.page.locator(selector = page_load_element_selector)
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page_title = await self.page.title()
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print(f" Page title: {page_title}")
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element = self.page.locator(selector = cost_selector)
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text = await element.text_content()
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print(f" Text: '{text}'")
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cost = text
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active = None
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if active_selector is None:
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active = (cost is not None)
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else:
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try:
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elements = await self.page.query_selector_all(selector = active_selector)
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print(f'# active elements: {len(elements)}')
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if len(elements) == 0:
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active = True
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else:
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text = await elements[0].text_content()
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text = text.strip()
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print(f" Text: '{text}'")
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active = (invalid_active_statuses is None or text not in invalid_active_statuses)
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except Exception as e:
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print(f" Selector failed: {e}")
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if cost is None or active is None:
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print(f" ✗ No cost found")
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# await ainput("Press Enter to continue to next URL...")
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print(f"Cost: {cost}, Active: {active}")
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except Exception as e:
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print(f" Error: {e}")
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# await ainput("Press Enter to continue to next URL...")
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return None, None
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finally:
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await self.page.close()
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return cost, active
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async def scrape_cost_and_active_playwright_cardmarket(self, browser, url, eur_to_gbp_rate):
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page_load_element_selector = "body > main.container > div.page-title-container"
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cost_selector = '#table > div:nth-child(1) > div.table-body > .row.article-row.g-0:nth-child(1) > div.col-offer > div.price-container > div > div:nth-child(1) > span:nth-child(1)'
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cost_text, active = await self.scrape_cost_and_active_playwright(
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browser = browser
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, url = url
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, page_load_element_selector = page_load_element_selector
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, cost_selector = cost_selector
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, active_selector = None
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, invalid_active_statuses = []
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)
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cost = Product_Scraper.parse_cost_cardmarket(cost_text = cost_text)
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if cost is not None:
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item_shipping_cost_in = 0
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if cost < 10:
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item_shipping_cost_in = 2
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elif cost < 100:
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item_shipping_cost_in = 8
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else:
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item_shipping_cost_in = 20
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cost = cost * eur_to_gbp_rate + item_shipping_cost_in
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active = (cost is not None)
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return cost, active
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async def scrape_cost_and_active_playwright_chaoscards(self, browser, url):
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cost_selector = '.price_inc > span:nth-child(2)'
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active_selector = '.product__right > form > ul.prod_det_fields.left.product-section.product-section--stock > li.prod_det_stock > div:nth-child(1) > div:nth-child(2)'
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cost_text, active = await self.scrape_cost_and_active_playwright(
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browser = browser
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, url = url
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, page_load_element_selector = cost_selector
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, cost_selector = cost_selector
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, active_selector = active_selector
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, invalid_active_statuses = ["Out of stock", "Coming soon"]
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)
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cost = Product_Scraper.parse_cost_chaoscards(cost_text = cost_text)
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return cost, active
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async def scrape_cost_and_active_playwright_gameslore(self, browser, url):
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cost_selector = 'div.columns > div.column.main > div.product-info-main > div.product-info-price > div.price-box > span.special-price > span.price-container > span.price-wrapper > span.price'
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active_selector = '.stock > span:nth-child(1)'
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cost_text, active = await self.scrape_cost_and_active_playwright(
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browser = browser
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, url = url
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, page_load_element_selector = cost_selector
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, cost_selector = cost_selector
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, active_selector = active_selector
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, invalid_active_statuses = ["OUT OF STOCK"]
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)
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cost = Product_Scraper.parse_cost_gameslore(cost_text = cost_text)
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return cost, active
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async def scrape_cost_and_active_playwright_magicmadhouse(self, browser, url):
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page_load_element_selector = '.productView-title'
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cost_selector = 'div.body > div.container > div > div.productView > section.productView-details > div.productView-options > form > div.productView-options-selections > div.productView-product > div.productView-info > div.price-rating > div.productView-price > div.price-section.actual-price > span.price'
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active_selector = '.alertBox.alertBox--error'
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cost_text, active = await self.scrape_cost_and_active_playwright(
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browser = browser
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, url = url
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, page_load_element_selector = page_load_element_selector
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, cost_selector = cost_selector
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, active_selector = active_selector
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, invalid_active_statuses = []
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)
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cost = Product_Scraper.parse_cost_magicmadhouse(cost_text = cost_text)
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return cost, active
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async def scrape_cost_and_active_playwright_newrealitiesgaming(self, browser, url):
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button_selector = 'div.display-desktop.add-to-cart-button__wrapper div.w-wrapper form button'
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page_load_element_selector = button_selector
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cost_selector = f'{button_selector} span:nth-child(2)'
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active_selector = f'{button_selector} span:nth-child(1)'
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cost_text, active = await self.scrape_cost_and_active_playwright(
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browser = browser
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, url = url
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, page_load_element_selector = page_load_element_selector
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, cost_selector = cost_selector
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, active_selector = active_selector
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, invalid_active_statuses = ['Out of stock']
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)
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cost = Product_Scraper.parse_cost_magicmadhouse(cost_text = cost_text)
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return cost, active
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async def scrape_prices_and_quantities_playwright_cardmarket(self, browser: Browser, url, eur_to_gbp_rate):
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offer_container_selector = '#table > div:nth-child(1) > div.table-body > .row.article-row.g-0:nth-child(1) > div.col-offer'
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price_selector = 'div.price-container > div > div:nth-child(1) > span:nth-child(1)'
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quantity_selector = 'div.amount-container > span:nth-child(1)'
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print(f" Loading page...")
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self.page = await browser.new_page()
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await self.page.goto(url = url)
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await asyncio.sleep(random.uniform(20, 25))
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try:
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page_title = await self.page.title()
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print(f" Page title: {page_title}")
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price_quantity_pairs = []
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try:
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offer_containers = await self.page.query_selector_all(offer_container_selector)
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print(f" Offer container selector: Found {len(offer_containers)} elements")
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for offer_container in offer_containers:
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price_element = await offer_container.query_selector(price_selector)
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price_text = await price_element.text_content()
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if '€' in price_text and re.search(r'\d', price_text):
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print(f" ✓ Found price: {price_text}")
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else:
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price_text = None
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quantity_element = await offer_container.query_selector(quantity_selector)
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quantity_text = await quantity_element.text_content()
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if price_text is None or quantity_text is None:
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continue
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price_quantity_pairs.append({
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'price': Product_Scraper.parse_cost_cardmarket(cost_text = price_text) * eur_to_gbp_rate
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, 'quantity': Product_Scraper.parse_cost_cardmarket(cost_text = quantity_text)
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})
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except Exception as e:
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print(f" Price selector failed: {e}")
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# await ainput("Press enter to continue to next URL...")
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return []
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finally:
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await self.page.close()
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return price_quantity_pairs
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class TCG_Sole_Trader_Workbook_Container:
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NAME_COLUMN_ACTIVE: str = 'Active'
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NAME_COLUMN_INDEX_ROW: str = 'Index Row'
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NAME_COLUMN_LINK: str = 'Link'
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NAME_COLUMN_PRODUCT_ID: str = 'Product Id'
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NAME_COLUMN_PRODUCT_IS_BOOSTER: str = 'Product Is Booster'
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NAME_COLUMN_PRODUCT_IS_BOOSTER_BOX: str = 'Product Is Booster Box'
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NAME_COLUMN_PRODUCT_IS_PRECON: str = 'Product Is Precon'
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NAME_COLUMN_SOURCE_NAME: str = 'Source Name'
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NAME_COLUMN_UNIT_COST: str = 'Cost'
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NAME_COLUMN_UNIT_PRICE: str = 'Price'
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PRODUCT_WORKSHEET_NAME = 'Product'
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SOURCING_WORKSHEET_NAME = 'Sourcing'
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WORKBOOK_NAME = 'TCG Sole Trader Copy.xlsx'
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index_column_active_sourcing: int
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index_column_is_booster_product: int
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index_column_is_booster_box_product: int
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index_column_is_precon_product: int
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index_column_link_sourcing: int
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index_column_name_sourcing: int
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index_column_product_id_product: int
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index_column_product_id_sourcing: int
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index_column_unit_cost_sourcing: int
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index_column_unit_price_sourcing: int
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index_row_header_product: int
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index_row_header_sourcing: int
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product_sheet: Worksheet
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sourcing_sheet: Worksheet
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workbook: Workbook
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def __init__(self):
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print("Loading workbook...")
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self.workbook = load_workbook(self.WORKBOOK_NAME)
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if self.SOURCING_WORKSHEET_NAME not in self.workbook.sheetnames:
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print(f"Error: Sheet '{self.SOURCING_WORKSHEET_NAME}' not found")
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return
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if self.PRODUCT_WORKSHEET_NAME not in self.workbook.sheetnames:
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print(f"Error: Sheet '{self.PRODUCT_WORKSHEET_NAME}' not found")
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return
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self.sourcing_sheet = self.workbook[self.SOURCING_WORKSHEET_NAME]
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self.product_sheet = self.workbook[self.PRODUCT_WORKSHEET_NAME]
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sourcing_table_found = False
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for row in range(1, self.sourcing_sheet.max_row + 1):
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if self.sourcing_sheet.cell(row, 1).value == 'tbl_Sourcing' or 'Source Name' in str(self.sourcing_sheet.cell(row, 3).value):
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self.index_row_header_sourcing = row
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sourcing_table_found = True
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break
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if not sourcing_table_found or not self.index_row_header_sourcing:
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for row in range(1, min(20, self.sourcing_sheet.max_row + 1)):
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if 'Source Name' in str(self.sourcing_sheet.cell(row, 3).value):
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self.index_row_header_sourcing = row
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sourcing_table_found = True
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break
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if not sourcing_table_found:
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print("Error: Could not find table 'tbl_Sourcing'")
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return
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product_table_found = False
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for row in range(1, self.product_sheet.max_row + 1):
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if self.product_sheet.cell(row, 1).value == 'tbl_Product' or 'Product Id' in str(self.product_sheet.cell(row, 1).value):
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self.index_row_header_product = row
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product_table_found = True
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break
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if not product_table_found:
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print("Error: Could not find table 'tbl_Product'")
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return
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for index_column in range(1, self.sourcing_sheet.max_column + 1):
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header = str(self.sourcing_sheet.cell(self.index_row_header_sourcing, index_column).value).strip()
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if 'Source Name' == header:
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self.index_column_name_sourcing = index_column
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elif 'Source Link' == header:
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self.index_column_link_sourcing = index_column
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elif 'Source Unit Cost' == header:
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self.index_column_unit_cost_sourcing = index_column
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elif 'Sale Price' == header:
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self.index_column_unit_price_sourcing = index_column
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elif 'Active' == header:
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self.index_column_active_sourcing = index_column
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elif 'Product Id' == header:
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self.index_column_product_id_sourcing = index_column
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for index_column in range(1, self.product_sheet.max_column + 1):
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header = str(self.product_sheet.cell(self.index_row_header_product, index_column).value).strip()
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if 'Is Booster Box' == header:
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self.index_column_is_booster_box_product = index_column
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elif 'Is Booster' == header:
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self.index_column_is_booster_product = index_column
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elif 'Is Precon' == header:
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self.index_column_is_precon_product = index_column
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elif 'Product Id' == header:
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self.index_column_product_id_product = index_column
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print(f"Sourcing max row: {self.sourcing_sheet.max_row}")
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print(f"Sourcing header row: {self.index_row_header_sourcing}")
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print(f"Sourcing header 1: {self.sourcing_sheet.cell(self.index_row_header_sourcing, 1).value}")
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print(f"Sourcing Columns - Name: {self.index_column_name_sourcing}, Link: {self.index_column_link_sourcing}, Unit Cost: {self.index_column_unit_cost_sourcing}, Sale price: {self.index_column_unit_price_sourcing}, Active: {self.index_column_active_sourcing}, Product Id: {self.index_column_product_id_sourcing}")
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print(f"Product max row: {self.product_sheet.max_row}")
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print(f"Product header row: {self.index_row_header_product}")
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print(f"Sourcing header 1: {self.product_sheet.cell(self.index_row_header_product, 1).value}")
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print(f"Product Columns - Id: {self.index_column_product_id_product}, Is Booster: {self.index_column_is_booster_product}, Is Booster Box: {self.index_column_is_booster_box_product}, Is Precon: {self.index_column_is_precon_product}")
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if not all([
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self.index_column_name_sourcing
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, self.index_column_link_sourcing
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, self.index_column_unit_cost_sourcing
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, self.index_column_unit_price_sourcing
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, self.index_column_product_id_sourcing
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, self.index_column_active_sourcing
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, self.index_column_product_id_product
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, self.index_column_is_booster_product
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, self.index_column_is_booster_box_product
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, self.index_column_is_precon_product
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]):
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print("Error: Could not find required columns")
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return
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@classmethod
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def create_product_source_df(cls):
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return pd.DataFrame(columns = [
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cls.NAME_COLUMN_INDEX_ROW
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, cls.NAME_COLUMN_PRODUCT_ID
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, cls.NAME_COLUMN_SOURCE_NAME
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, cls.NAME_COLUMN_LINK
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, cls.NAME_COLUMN_PRODUCT_IS_BOOSTER
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, cls.NAME_COLUMN_UNIT_COST
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, cls.NAME_COLUMN_UNIT_PRICE
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, cls.NAME_COLUMN_ACTIVE
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])
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def get_sourcing_entries(self):
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product_sources = self.create_product_source_df()
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try:
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for index_row in range(self.index_row_header_sourcing + 1, self.sourcing_sheet.max_row + 1):
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source_name = self.sourcing_sheet.cell(index_row, self.index_column_name_sourcing).value
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source_link = self.sourcing_sheet.cell(index_row, self.index_column_link_sourcing).value
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source_product_id = self.sourcing_sheet.cell(index_row, self.index_column_product_id_sourcing).value
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if not source_name or not source_link:
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continue
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print(f"found source: {source_name} - product: {source_product_id} - link: {source_link}")
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product_is_booster = False
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for product_row in range(self.index_row_header_product + 1, self.product_sheet.max_row + 1):
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product_id = self.product_sheet.cell(product_row, self.index_column_product_id_product).value
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if product_id == source_product_id:
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product_is_booster_text = str(self.product_sheet.cell(product_row, self.index_column_is_booster_product).value).upper()
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product_is_booster = (product_is_booster_text == "TRUE")
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break
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print(f"product is booster: {product_is_booster}")
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product_sources.loc[len(product_sources)] = [
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index_row
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, source_product_id
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, source_name
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, source_link
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, product_is_booster
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, None # cost
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, None # price
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, None # active
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]
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except Exception as e:
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print(f"Error: {e}")
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product_sources.sort_values(self.NAME_COLUMN_SOURCE_NAME)
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return product_sources
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def clear_row_sourcing_sheet(self, index_row):
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self.sourcing_sheet.cell(index_row, self.index_column_unit_cost_sourcing).value = None
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self.sourcing_sheet.cell(index_row, self.index_column_active_sourcing).value = "FALSE"
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def update_row_sourcing_sheet(self, index_row, unit_cost = None, unit_price = None, active = None):
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if unit_cost is not None:
|
|
self.sourcing_sheet.cell(index_row, self.index_column_unit_cost_sourcing).value = unit_cost
|
|
if unit_price is not None:
|
|
self.sourcing_sheet.cell(index_row, self.index_column_unit_price_sourcing).value = unit_price
|
|
if active is not None:
|
|
self.sourcing_sheet.cell(index_row, self.index_column_active_sourcing).value = "TRUE" if active else "FALSE"
|
|
|
|
def save_workbook(self):
|
|
print(f"\n{'='*60}")
|
|
print(f"Saving workbook...")
|
|
self.workbook.save(self.WORKBOOK_NAME)
|
|
|
|
|
|
class Cost_Fetcher:
|
|
ACCESSED_LAST_ON_FLAG: str = 'Accessed Last On'
|
|
ACTIVE_FLAG: str = 'Active'
|
|
COST_FLAG: str = 'Cost'
|
|
DATA_FLAG: str = 'Data'
|
|
ERROR_FLAG: str = 'Error'
|
|
INDEX_DOMAIN_FLAG: str = 'Index Domain'
|
|
INDEX_ROW_FLAG: str = 'Index Row'
|
|
NAME_DOMAIN_CARD_MARKET: str = 'Card Market'
|
|
NAME_DOMAIN_CHAOS_CARDS: str = 'Chaos Cards'
|
|
NAME_DOMAIN_GAMES_LORE: str = 'Games Lore'
|
|
NAME_DOMAIN_MAGIC_MADHOUSE: str = 'Magic Madhouse'
|
|
NAME_DOMAIN_NEW_REALITIES_GAMING: str = 'New Realities Gaming'
|
|
NAME_FLAG: str = 'Name'
|
|
PRICE_FLAG: str = 'Price'
|
|
SUCCESS_FLAG: str = 'Success'
|
|
URL_FLAG: str = 'Url'
|
|
|
|
domain_names: list[str]
|
|
eur_to_gbp_rate: float
|
|
product_scrapers: list[Product_Scraper]
|
|
product_sources: pd.DataFrame
|
|
workbook_container: TCG_Sole_Trader_Workbook_Container
|
|
|
|
def __init__(self):
|
|
self.domain_names = [
|
|
self.NAME_DOMAIN_CARD_MARKET
|
|
, self.NAME_DOMAIN_CHAOS_CARDS
|
|
, self.NAME_DOMAIN_GAMES_LORE
|
|
, self.NAME_DOMAIN_MAGIC_MADHOUSE
|
|
, self.NAME_DOMAIN_NEW_REALITIES_GAMING
|
|
]
|
|
self.domain_details = {
|
|
self.NAME_DOMAIN_CARD_MARKET: {
|
|
self.NAME_FLAG: self.NAME_DOMAIN_CARD_MARKET
|
|
, self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_CARD_MARKET)
|
|
, self.ACCESSED_LAST_ON_FLAG: 0
|
|
}
|
|
, self.NAME_DOMAIN_CHAOS_CARDS: {
|
|
self.NAME_FLAG: self.NAME_DOMAIN_CHAOS_CARDS
|
|
, self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_CHAOS_CARDS)
|
|
, self.ACCESSED_LAST_ON_FLAG: 0
|
|
}
|
|
, self.NAME_DOMAIN_GAMES_LORE: {
|
|
self.NAME_FLAG: self.NAME_DOMAIN_GAMES_LORE
|
|
, self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_GAMES_LORE)
|
|
, self.ACCESSED_LAST_ON_FLAG: 0
|
|
}
|
|
, self.NAME_DOMAIN_MAGIC_MADHOUSE: {
|
|
self.NAME_FLAG: self.NAME_DOMAIN_MAGIC_MADHOUSE
|
|
, self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_MAGIC_MADHOUSE)
|
|
, self.ACCESSED_LAST_ON_FLAG: 0
|
|
}
|
|
, self.NAME_DOMAIN_NEW_REALITIES_GAMING: {
|
|
self.NAME_FLAG: self.NAME_DOMAIN_NEW_REALITIES_GAMING
|
|
, self.INDEX_DOMAIN_FLAG: self.get_index_domain_from_name(self.NAME_DOMAIN_NEW_REALITIES_GAMING)
|
|
, self.ACCESSED_LAST_ON_FLAG: 0
|
|
}
|
|
}
|
|
product_scrapers = []
|
|
for index_domain in range(len(self.domain_names)):
|
|
domain = self.domain_names[index_domain]
|
|
product_scraper = Product_Scraper(domain)
|
|
product_scrapers.append(product_scraper)
|
|
self.product_scrapers = product_scrapers
|
|
self.workbook_container = TCG_Sole_Trader_Workbook_Container()
|
|
self.get_eur_to_gbp_rate()
|
|
|
|
def get_index_domain_from_name(self, domain_name):
|
|
for index_domain in range(len(self.domain_names)):
|
|
if (self.domain_names[index_domain] == domain_name):
|
|
return index_domain
|
|
raise ValueError(f'Domain does not exist: {domain_name}')
|
|
|
|
def get_eur_to_gbp_rate(self):
|
|
try:
|
|
response = requests.get('https://api.exchangerate-api.com/v4/latest/EUR', timeout=10)
|
|
data = response.json()
|
|
self.eur_to_gbp_rate = data['rates']['GBP']
|
|
except Exception as e:
|
|
print(f"Error fetching exchange rate: {e}")
|
|
print("Using fallback rate: 0.85")
|
|
self.eur_to_gbp_rate = 0.85
|
|
|
|
async def fetch_all(self):
|
|
try:
|
|
processed_count = 0
|
|
updated_count = 0
|
|
self.product_sources = self.workbook_container.get_sourcing_entries()
|
|
|
|
# Group product sources by domain
|
|
domain_groups = {domain: [] for domain in self.domain_names}
|
|
for index_product_source, product_source in self.product_sources.iterrows():
|
|
source_name = product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_SOURCE_NAME]
|
|
if source_name in domain_groups:
|
|
domain_groups[source_name].append(product_source)
|
|
|
|
# Create one browser per domain and process all URLs for that domain
|
|
async with async_playwright() as p:
|
|
# Create one browser per domain that has URLs
|
|
domain_tasks = []
|
|
for domain_name in self.domain_names:
|
|
if domain_groups[domain_name]: # Only if there are URLs for this domain
|
|
browser = await p.chromium.launch(headless=False)
|
|
task = self.process_domain_urls(browser, domain_name, domain_groups[domain_name])
|
|
domain_tasks.append(task)
|
|
|
|
# Process all domains in parallel
|
|
all_sourced_products = await asyncio.gather(*domain_tasks)
|
|
|
|
# Flatten results from all domains
|
|
sourced_products = []
|
|
for domain_results in all_sourced_products:
|
|
sourced_products.extend(domain_results)
|
|
|
|
# Process results
|
|
for sourced_product in sourced_products:
|
|
index_row = sourced_product[self.INDEX_ROW_FLAG]
|
|
unit_cost = sourced_product[self.COST_FLAG]
|
|
unit_price = sourced_product[self.PRICE_FLAG]
|
|
active = sourced_product[self.ACTIVE_FLAG]
|
|
processed_count += 1
|
|
if not active:
|
|
continue
|
|
updated_count += 1
|
|
self.workbook_container.update_row_sourcing_sheet(
|
|
index_row = index_row
|
|
, unit_cost = unit_cost
|
|
, unit_price = unit_price
|
|
, active = active
|
|
)
|
|
self.workbook_container.save_workbook()
|
|
print(f"\nComplete!")
|
|
print(f"Processed: {processed_count} entries")
|
|
print(f"Updated: {updated_count} costs")
|
|
except Exception as e:
|
|
print(f"Error: {e}")
|
|
|
|
async def process_domain_urls(self, browser, domain_name, product_sources):
|
|
"""Process all URLs for a single domain sequentially with rate limiting"""
|
|
results = []
|
|
last_access_time = 0
|
|
|
|
try:
|
|
for product_source in product_sources:
|
|
# Rate limiting: wait 60s between requests to same domain
|
|
time_since_last = time.time() - last_access_time
|
|
if time_since_last < 45:
|
|
wait_time = 45 - time_since_last + random.uniform(0, 5) # 45-50s
|
|
print(f" [{domain_name}] Waiting {wait_time:.1f}s before next request...")
|
|
await asyncio.sleep(wait_time)
|
|
|
|
# Process the URL
|
|
result = await self.fetch_single_with_browser(browser, domain_name, product_source)
|
|
results.append(result)
|
|
last_access_time = time.time()
|
|
|
|
finally:
|
|
await browser.close()
|
|
|
|
return results
|
|
|
|
async def fetch_single_with_browser(self, browser, domain_name, product_source):
|
|
"""Fetch a single URL using the provided browser"""
|
|
index_row = product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_INDEX_ROW]
|
|
source_link = product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_LINK]
|
|
|
|
self.workbook_container.clear_row_sourcing_sheet(index_row = index_row)
|
|
Cost_Fetcher.log_processing_new_row(
|
|
index_row = index_row
|
|
, source_link = source_link
|
|
)
|
|
|
|
index_domain = self.get_index_domain_from_name(domain_name)
|
|
cost = None
|
|
price = None
|
|
active = None
|
|
|
|
try:
|
|
if domain_name == self.NAME_DOMAIN_CARD_MARKET:
|
|
if product_source[TCG_Sole_Trader_Workbook_Container.NAME_COLUMN_PRODUCT_IS_BOOSTER]:
|
|
price_quantity_pairs = await self.product_scrapers[index_domain].scrape_prices_and_quantities_playwright_cardmarket(
|
|
browser = browser
|
|
, url = source_link
|
|
, eur_to_gbp_rate = self.eur_to_gbp_rate
|
|
)
|
|
price = self.get_sale_price_from_price_quantity_pairs(price_quantity_pairs = price_quantity_pairs)
|
|
cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_cardmarket(
|
|
browser = browser
|
|
, url = source_link
|
|
, eur_to_gbp_rate = self.eur_to_gbp_rate
|
|
)
|
|
elif domain_name == self.NAME_DOMAIN_CHAOS_CARDS:
|
|
cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_chaoscards(
|
|
browser = browser
|
|
, url = source_link
|
|
)
|
|
elif domain_name == self.NAME_DOMAIN_GAMES_LORE:
|
|
cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_gameslore(
|
|
browser = browser
|
|
, url = source_link
|
|
)
|
|
elif domain_name == self.NAME_DOMAIN_MAGIC_MADHOUSE:
|
|
cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_magicmadhouse(
|
|
browser = browser
|
|
, url = source_link
|
|
)
|
|
""" unverified
|
|
elif domain_name == self.NAME_DOMAIN_NEW_REALITIES_GAMING:
|
|
cost, active = await self.product_scrapers[index_domain].scrape_cost_and_active_playwright_newrealitiesgaming(
|
|
browser = browser
|
|
, url = source_link
|
|
)
|
|
"""
|
|
if ((cost is None and price is None) or active is None):
|
|
print(f" Error: Could not find cost on page")
|
|
|
|
except Exception as e:
|
|
print(f" Error processing {source_link}: {e}")
|
|
|
|
return self.make_result_data_json(
|
|
index_row = index_row
|
|
, cost = cost
|
|
, price = price
|
|
, active = active
|
|
)
|
|
|
|
@classmethod
|
|
def make_result_data_json(cls, index_row, cost = None, price = None, active = None):
|
|
return {
|
|
cls.INDEX_ROW_FLAG: index_row
|
|
, cls.COST_FLAG: cost
|
|
, cls.PRICE_FLAG: price
|
|
, cls.ACTIVE_FLAG: active
|
|
}
|
|
|
|
def get_sale_price_from_price_quantity_pairs(self, price_quantity_pairs):
|
|
if not price_quantity_pairs:
|
|
return None
|
|
|
|
max_quantity = 0
|
|
price = None
|
|
|
|
# First pass: look for quantity >= 8
|
|
for price_quantity_pair in price_quantity_pairs:
|
|
eur_price = price_quantity_pair['price']
|
|
quantity = price_quantity_pair['quantity']
|
|
print(f" Found price: €{eur_price}")
|
|
print(f" Found quantity: {quantity}")
|
|
max_quantity = max(max_quantity, quantity)
|
|
|
|
if quantity >= 8 and eur_price:
|
|
price = eur_price * self.eur_to_gbp_rate
|
|
print(f" Converted: €{eur_price:.2f} → £{price:.2f}")
|
|
return price
|
|
|
|
# Second pass: use max quantity if no quantity >= 8
|
|
print("Offer with quantity >= 8 not found")
|
|
for price_quantity_pair in price_quantity_pairs:
|
|
eur_price = price_quantity_pair['price']
|
|
quantity = price_quantity_pair['quantity']
|
|
|
|
if (max_quantity <= 2 or quantity == max_quantity) and eur_price:
|
|
price = eur_price * self.eur_to_gbp_rate
|
|
print(f" Converted: €{eur_price:.2f} → £{price:.2f}")
|
|
return price
|
|
|
|
return price
|
|
|
|
@staticmethod
|
|
def log_processing_new_row(index_row, source_link):
|
|
print(f"\n{'='*60}")
|
|
print(f"Processing row {index_row}: {source_link}")
|
|
print(f"{'='*60}")
|
|
|
|
async def main():
|
|
cost_fetcher = Cost_Fetcher()
|
|
await cost_fetcher.fetch_all()
|
|
|
|
if __name__ == "__main__":
|
|
asyncio.run(main()) |