274 lines
12 KiB
Python
274 lines
12 KiB
Python
import multiprocessing
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import subprocess
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import concurrent.futures
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from google.cloud import pubsub_v1
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from google.api_core.exceptions import DeadlineExceeded
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from selenium import webdriver
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from selenium.webdriver.chrome.options import Options
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from selenium.webdriver.common.by import By
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import json
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import time
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import os
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from concurrent.futures import TimeoutError
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import pandas as pd
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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import selenium.common.exceptions
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import re
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# Define the subset of urls
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url_list = [
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'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119',
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'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261',
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'https://www.sayweee.com/en/product/Glico-Pocky-Cookies-and-Cream-Family-Pack/79467',
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'https://www.sayweee.com/en/product/Xiang-Na-Lan-Thai-Jasmine-Rice/19566?category=dried01',
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'https://www.sayweee.com/en/product/Sekka-Premium-Japanese-Medium-Grain-Rice/81224',
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'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02',
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'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01',
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'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f',
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'https://www.sayweee.com/en/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353',
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'https://www.sayweee.com/en/product/Washington-Fuji-Apples/94817?category=fruits03',
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'https://www.sayweee.com/en/product/Formosa-Pork-Sung-/23528?trace_id=3c143dd4-4a35-4e8d-93ee-d91f209717e7'
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]
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# Create a pool of worker processes
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# pool = multiprocessing.Pool(cpu_count)
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# Define the function to run the scraper
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def run_scraper(url):
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# scraping logic
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df = pd.DataFrame(columns=['Product ID', 'Zip Code', 'Shown Price', 'Minimum Quantity', 'Total Price', 'Unit Price','Sales Count','Sold Status'])
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print(f"Created a dataframe: {df}")
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options = Options()
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options.add_argument('--disable-gpu')
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driver = webdriver.Chrome(options=options)
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project_id = "fp-20230425"
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subscription_name = "fp-subscription-NFL-zipcodes"
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subscriber = pubsub_v1.SubscriberClient()
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subscription_path = subscriber.subscription_path(project_id, subscription_name)
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# product_id = url.split("/")[-1]
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driver.delete_all_cookies
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driver.get(url)
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def get_element_text(class_name_prefix):
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xpath_str = "//*[contains(" # Step 1: search for a class name by matching the beginning of the class name against...
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xpath_str += "concat(' ', " # Step 2: a leading space, followed by...
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xpath_str += "normalize-space(@class), " # Step 3: the list of class names, separated by single spaces...
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xpath_str += "' '), " # Step 4: a trailing space...
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xpath_str += f"' {class_name_prefix} ')]" # Step 5: compared against the class name with a single space on either side.
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try:
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match = driver.find_element(By.XPATH, xpath_str)
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return match.get_attribute('textContent')
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except selenium.common.exceptions.NoSuchElementException as nsee:
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pass
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xpath_str = "//*[contains(" # Step 1: search for a class name by matching the beginning of the class name against...
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xpath_str += "concat(' ', " # Step 2: a leading space, followed by...
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xpath_str += "normalize-space(@class)), " # Step 3: the list of class names, separated by single spaces...
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xpath_str += f"' {class_name_prefix}__')]" # Step 4: compared against the class name prefixed with a single space and ending with two underscores.
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try:
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match = driver.find_element(By.XPATH, xpath_str)
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return match.get_attribute('textContent')
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except selenium.common.exceptions.NoSuchElementException as nsee:
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pass
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return ''
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# Close the cookies setting window
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try:
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cookie_button = WebDriverWait(driver, 2).until(
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EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div[2]/div/div/div[3]/button"))
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)
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print(f"cookie_button = {cookie_button}")
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cookie_button.click()
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except:
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pass
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# Clear any modal dialog
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try:
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modal_close = WebDriverWait(driver, 2).until(
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EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
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)
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print(f"modal_close = {modal_close}")
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modal_close.click()
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except:
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pass
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# Define callback function for Pub/Sub messages
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def callback(message):
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# Extract zip code from message data
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zip_code = message.message.data.decode('utf-8')
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print(f"Received zip code: {zip_code}")
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try:
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try:
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# Clear any modal dialog
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modal_close = WebDriverWait(driver, 2).until(
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EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]"))
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)
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# print(f"modal_close = {modal_close}")
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modal_close.click()
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except:
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pass
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try:
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# Clear any notice
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notice_close = WebDriverWait(driver, 5).until(
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EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
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# print(f"notice_close = {notice_close}")
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notice_close.click()
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except:
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pass
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# Enter zip code in the input field and click the "Check" button
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zip_button = WebDriverWait(driver, 5).until(
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EC.presence_of_element_located((By.XPATH, '/html/body/div[2]/div/header/div[3]/div/div/div[2]/div[1]'))
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)
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# print(f"{zip_button:}")
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zip_button.click()
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zip_input = WebDriverWait(driver, 2).until(
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EC.presence_of_element_located((By.XPATH, '//div/label/following-sibling::input'))
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)
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# print(f"{zip_input:}")
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zip_input.click()
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# print("clearing zip_input")
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zip_input.send_keys("\b\b\b\b\b")
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# print("sending zip code")
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zip_input.send_keys(zip_code)
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check_button = driver.find_element(By.XPATH, "//button[text() = 'Confirm']")
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check_button = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH,"//button[text() = 'Confirm']")))
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# print(f"{check_button:}")
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check_button.click()
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# time.sleep(2)
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try:
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# Clear any notice
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notice_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "/html/body/div[3]/div/div[2]/div/div[2]/div/div/div[1]/div[2]/button")))
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# print(f"notice_close = {notice_close}")
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notice_close.click()
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except:
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pass
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try:
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# Clear any modal dialog
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modal_close = WebDriverWait(driver, 2).until(EC.presence_of_element_located((By.XPATH, "//*[contains(concat(' ', normalize-space(@class), ' '), ' icon-icon-close-s ')]")))
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# print(f"modal_close = {modal_close}")
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modal_close.click()
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except:
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pass
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# Record sales count, if any
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sales_count_element = get_element_text('Header_count')
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count_start_index = sales_count_element.index('sold ') + len('sold ')
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count_end_index = sales_count_element.index('+')
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sales_count = sales_count_element[count_start_index:count_end_index]
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# Record any sold status notice
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sold_status = get_element_text('UnavailableCartbtn_container')
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if sold_status == 'Notify me':
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sold_status = 'Sold Out'
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# Extract the price of rice crackers for this zip code
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# Check if there is a minimum order quantity
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min_quantity: float = 0
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total_price: float = 0
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unit_price: float = 0
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try:
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minimum_quantity_str = driver.find_element(By.XPATH, "//div[contains(@class, 'minQuantity')]").get_attribute('innerHTML')
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if minimum_quantity_str:
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regexp = "Minimum purchase: (\d+) \(\$(\d+\.\d{2}?)"
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match = re.search(regexp,minimum_quantity_str)
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min_quantity, total_price = match.groups()
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except selenium.common.exceptions.NoSuchElementException as nsee:
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print("No minimum purhcase string found")
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except Exception as e:
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print(f"Exception when finding minimum purchase string: {e}")
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ld_json_element = driver.find_element(By.XPATH, "//script[@type='application/ld+json']")
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ld_json_text = ld_json_element.get_attribute('innerHTML')
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ld_json_start_index = ld_json_text.index('{')
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ld_json_end_index = ld_json_text.rindex('}') + 1
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ld_json_json = ld_json_text[ld_json_start_index:ld_json_end_index]
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ld_json = json.loads(ld_json_json)
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ld_json_price = ld_json['offers']['price']
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# Print the price
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print(ld_json_price)
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unit_price_element = driver.find_element(By.XPATH,"//div[contains(@class, 'price_price')]").get_attribute('innerText')
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unit_price = unit_price_element.replace("$", "")
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print(f"unit_price = {unit_price}" )
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subscriber.acknowledge(ack_ids = [message.ack_id], subscription = subscription_path) # acknowledge receipt of message
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# Append the zip code and price to the dataframe
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#append_to_df(zip_code, price)
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new_row = pd.DataFrame({'Product ID': [product_id], 'Zip Code': [zip_code], 'Shown Price': [ld_json_price], 'Minimum Quantity': [min_quantity], 'Total Price': [total_price], 'Unit Price': [unit_price], 'Sales Count': [sales_count], 'Sold Status': [sold_status]})
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return pd.concat([df, new_row], ignore_index=True)
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#print(f"Recorded the zip code and price: {zip_code},{price}")
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#print(f"Updated a dataframe: {df}")
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except Exception as e:
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print(f"Caught exception: {e}")
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print(f"Price not found for zip code {zip_code}")
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price = 'Price not found'
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return df
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# Start receiving messages (sync version)
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while True:
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pull_request = pubsub_v1.types.PullRequest(max_messages = 1, subscription = subscription_path)
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messages = []
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try:
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pull_response = subscriber.pull(request = pull_request)
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messages = pull_response.received_messages
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except DeadlineExceeded:
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pass
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if messages:
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df = callback(messages[0])
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print(f"Updated a dataframe: {df}")
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else:
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print(f"no messages, trying again at {time.asctime()}")
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break
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# subprocess.call(['python', 'fp2_13.py', url])
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return run_scraper(url)
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if __name__ == '__main__':
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# Determine the number of available CPUs
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# cpu_count = multiprocessing.cpu_count()
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with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
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future_to_url = {executor.submit(run_scraper, url): url for url in url_list}
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results = []
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for future in concurrent.futures.as_completed(future_to_url):
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url = future_to_url[future]
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try:
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result = future.result()
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print(f"Scraped data for URL: {url}")
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results.append(result)
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except Exception as e:
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print(f"Failed to scrape data for URL: {url}\nError: {e}")
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'''
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# Run the scraper in parallel for the subset of items
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results = pool.map(run_scraper, url_list)
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# Close the pool and wait for the processes to finish
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pool.close()
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pool.join()
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'''
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with pd.HDFStore('product_data.h5') as store:
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for url, result in zip(url_list, results):
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# Extract the product ID from the URL
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product_id = url.split("/")[-1].split("?")[0]
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# Save the dataframe to the HDF5 file with a unique key
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key = f'df_{product_id}'
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store[key] = result
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# result.to_hdf('product_data.h5', key=key, mode='a') |