Compare commits
5
Commits
| Author | SHA1 | Date | |
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e72d07462d | ||
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a77fddefc4 | ||
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dd7f954e6c | ||
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b70051c109 | ||
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cb88499ac9 |
+5
-8
@@ -8,7 +8,7 @@ from google.cloud import pubsub_v1
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# In[2]:
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# In[2]:
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# Set the project ID and topic name
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# Set the project ID and topic name
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project_id = 'svig-384801'
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project_id = 'price-extraction-project'
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topic_name = 'nfl-zipcodes'
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topic_name = 'nfl-zipcodes'
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@@ -82,12 +82,12 @@ from selenium.webdriver.support import expected_conditions as EC
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from google.cloud import pubsub_v1
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from google.cloud import pubsub_v1
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# Set the project ID and subscription name
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# Set the project ID and subscription name
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project_id = 'svig-384801'
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project_id = 'price-extraction-project'
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topic_name = 'nfl-zipcodes'
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topic_name = 'nfl-zipcodes'
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subscription_name = 'nfl-zipcodes-sub'
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subscription_name = 'sloetjes'
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# Set the path to your ChromeDriver executable
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# Set the path to your ChromeDriver executable
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chrome_driver_path = "/usr/local/bin/chromedriver"
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chrome_driver_path = "/Users/sloetjeswong/Downloads/chromedriver_mac_arm64/chromedriver"
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# Set up a Google Cloud Pub/Sub subscriber
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# Set up a Google Cloud Pub/Sub subscriber
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subscriber = pubsub_v1.SubscriberClient()
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subscriber = pubsub_v1.SubscriberClient()
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@@ -95,7 +95,7 @@ subscription_path = subscriber.subscription_path(project_id, subscription_name)
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# Set up a ChromeDriver instance
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# Set up a ChromeDriver instance
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chrome_options = webdriver.ChromeOptions()
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chrome_options = webdriver.ChromeOptions()
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#chrome_options.add_argument("--headless") # Run Chrome in headless mode
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chrome_options.add_argument("--headless") # Run Chrome in headless mode
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chrome_service = Service(chrome_driver_path)
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chrome_service = Service(chrome_driver_path)
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chrome_service.start()
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chrome_service.start()
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driver = webdriver.Remote(chrome_service.service_url, options=chrome_options)
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driver = webdriver.Remote(chrome_service.service_url, options=chrome_options)
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@@ -111,7 +111,6 @@ def callback(message):
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# Wait for the price to load
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# Wait for the price to load
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price_xpath = "//span[@class='price']"
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price_xpath = "//span[@class='price']"
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print(EC.presence_of_element_located((By.XPATH, price_xpath)))
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price_element = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, price_xpath)))
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price_element = WebDriverWait(driver, 10).until(EC.presence_of_element_located((By.XPATH, price_xpath)))
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# Extract the price and print it
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# Extract the price and print it
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@@ -130,5 +129,3 @@ streaming_pull_future.result()
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while True:
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while True:
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time.sleep(60)
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time.sleep(60)
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# %%
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@@ -108,7 +108,6 @@ if len(sys.argv) < 2:
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app.run()
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app.run()
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command = sys.argv[1]
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command = sys.argv[1]
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if command == "create":
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if command == "create":
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@@ -0,0 +1,277 @@
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#!/usr/bin/env python
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# coding: utf-8
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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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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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from datetime import datetime
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import arrow
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import subprocess
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import concurrent.futures
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# This script is used to load the new price and the timestamp and append such data to an existing key in the HDF5 file "product1.h5"
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def get_element_text(driver, class_name_prefix):
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'''
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Return the text in the first element with a given class name.
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Note that XPath doesn't have a function to check if a given word is present
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in a list of words, so using contains() will match a class name even if
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the class name is a substring of the class name being matched against.
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To prevent this, we use spaces as a delimiter at the beginning and end of
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the class name, and ensure there's only one space before and after all
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class names in the class name list.
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Example: consider two class names with cache-busting suffixes:
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* Header_soldStatusNotice__12345
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* Header_soldStatusNoticeBackground__ABCDE
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Matching against Header_soldStatusNotice using a naive implementation with
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`contains()` would match both class names, even though only the first one
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is the correct match.
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'''
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# Construct xpath selector.
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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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# We didn't find a match, try again by doing a prefix match and assume
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# the full class name ends with two underscores followed by a cache-
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# busting string.
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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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# No match, return empty string.
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return ''
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def scrape_product_price(project_id, subscription_name, url):
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# Create an empty dataframe to store the prices
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df_new = 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_new}")
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# Configure the Selenium driver options
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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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# Set up Pub/Sub subscription
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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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# Load the product page and extract the __NEXT_DATA__ data
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product_id = url.split("/")[-1][:5]
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driver.delete_all_cookies()
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driver.get(url)
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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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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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# 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, 2).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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)
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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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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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zip_input.click()
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zip_input.send_keys("\b\b\b\b\b")
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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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check_button.click()
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# Record sales count, if any
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sales_count_element = get_element_text(driver, '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(driver, '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 the product for this zip code
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min_quantity = 0
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total_price = 0
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unit_price = 0
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try:
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minimum_quantity_str = driver.find_element(By.XPATH, "//div[contains(@class, 'minQuantity')]")
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if minimum_quantity_str:
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regexp = r"Minimum purchase: (\d+) \(\$([\d.]+)"
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match = re.search(regexp, minimum_quantity_str.get_attribute('innerHTML'))
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if match:
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min_quantity, total_price = match.groups()
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except selenium.common.exceptions.NoSuchElementException:
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print("No minimum purchase 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(ld_json_price)
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unit_price_element = driver.find_element(By.XPATH, "//div[contains(@class, 'price_price')]")
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unit_price = unit_price_element.get_attribute('innerText').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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new_row = pd.DataFrame({
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'Product ID': [product_id],
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'Zip Code': [zip_code],
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'Shown Price': [ld_json_price],
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'Minimum Quantity': [min_quantity],
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'Total Price': [total_price],
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'Unit Price': [unit_price],
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'Sales Count': [sales_count],
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'Sold Status': [sold_status]
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})
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return pd.concat([df_new, new_row], ignore_index=True)
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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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|
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|
if messages:
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df_new = callback(messages[0])
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print(f"Updated dataframe: {df_new}")
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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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|
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return df_new
|
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|
||||||
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|
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def scrape_multiple_products(project_id, subscription_name, url_list):
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df_list = []
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with concurrent.futures.ThreadPoolExecutor(max_workers=2) as executor:
|
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futures = []
|
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for url in url_list:
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future = executor.submit(scrape_product_price, project_id, subscription_name, url)
|
||||||
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futures.append(future)
|
||||||
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|
||||||
|
for future in concurrent.futures.as_completed(futures):
|
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df = future.result()
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df_list.append(df)
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print("Scraped data for URL:", url)
|
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|
||||||
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return df_list
|
||||||
|
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
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project_id = input("Enter the project ID: ")
|
||||||
|
subscription_name = input("Enter the subscription name: ")
|
||||||
|
url_list = [
|
||||||
|
'https://www.sayweee.com/en/product/Want-Want-Senbei-Rice-Crackers/17119',
|
||||||
|
'https://www.sayweee.com/en/product/Lays-Potato-Chips-Cucumber-Flavor/51261',
|
||||||
|
'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',
|
||||||
|
'https://www.sayweee.com/en/product/Big-Green-Spring-Farm-Organic-Millet/90991?category=dried02',
|
||||||
|
'https://www.sayweee.com/en/product/Liuzhou-Guangxi-Specialty-LuoSiFen-Hot-Spicy-Noodles/95442?category=instant01',
|
||||||
|
'https://www.sayweee.com/en/product/House-Foods-Firm-Tofu-/85175?trace_id=c93f3d1a-80a4-4e1a-8d41-a402ae43186f',
|
||||||
|
'https://www.sayweee.com/en/product/Lactaid-Lactose-Free-2--Reduced-Fat-Milk/95353',
|
||||||
|
'https://www.sayweee.com/en/product/Washington-Fuji-Apples/94817?category=fruits03',
|
||||||
|
'https://www.sayweee.com/en/product/Formosa-Pork-Sung-/23528?trace_id=3c143dd4-4a35-4e8d-93ee-d91f209717e7'
|
||||||
|
]
|
||||||
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|
||||||
|
df_list = scrape_multiple_products(project_id, subscription_name, url_list)
|
||||||
|
|
||||||
|
# Concatenate all dataframes in the list
|
||||||
|
df_combined = pd.concat(df_list, ignore_index=True)
|
||||||
|
|
||||||
|
# Save the combined dataframe to HDF5 file
|
||||||
|
with pd.HDFStore('product1.h5') as store:
|
||||||
|
store.append('key', df_combined, format='table')
|
||||||
|
|
||||||
|
# Print the combined dataframe
|
||||||
|
print("Combined DataFrame:")
|
||||||
|
print(df_combined)
|
||||||
|
|
||||||
|
# Save the combined dataframe to a CSV file
|
||||||
|
df_combined.to_csv('product1.csv', index=False)
|
||||||
|
|
||||||
|
print("Data scraping and storage completed.")
|
||||||
|
|
||||||
@@ -1 +1 @@
|
|||||||
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQC5JV3Ip/2IMzY0sFQtxTv8BftCNYDi0XwzzIM6JeyNBY/F887JrybhjmyKSfrlmcJGqRxDym1RQNMbEmIWRbi7cSEQPd0CTa2oX2zzuKJvpvxU7NQRocTZXjz3cwo7IkFdZt4tstMQbM6sxLoAOIRMoMpCXjx4++LKDEzgfVLEiVJQElSWXfoJW+nS2lGxFJvNityauErwYMAIwRHQkXL90/n0Qrh8mrgiRPXqtj3FwpZRx97MJA7EDpFeqziXQxdeMmZ5YhSovC+89U7jIvHLdes1HBixXBmC4YPlp8Abpk9jweYSZkdUBtbrebQDp9xDg5CA4Nl0AemHo7vWbHmX sloetjeswong@Sloetjess-Air
|
ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCbUrTPE/8CUByUtG9rBuMP5zeF3x5sZcPmm61bcxBblvHL5Dx1WwIjujhbZ5mhxnmDqxV07MCFZwMzlPjJ7Ow9erZvaXAe5+jS2iTQqu9apfj+U3x2xEZQmoKprXUpWl8G9YDk2wxBqCn//ugkJ5+erIEopNUGPcVhACucpaCT+kld9mHtXBjdUEKUA85HhXiBkuBsv9k/VqL/oXbvHjY8Z6gFP64LcxdNASuf4Qn1wW0w3kXlQRkSoGdSxpGLztXN1v5rvetOzjA8HXixh7TYVWCc+XCa9KsY3QRk7gFyvtIsXz59NMOTgfpCnUQE2Pk9R5wuuA2fXyr+Kg+7NPkd sloetjeswong@Sloetjess-Air
|
||||||
|
|||||||
Reference in New Issue
Block a user