64 lines
2.3 KiB
Python
64 lines
2.3 KiB
Python
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from selenium import webdriver
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import csv
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import requests
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import os
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import zipfile
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from io import BytesIO
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from selenium.webdriver.common.by import By
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def scrape_and_save_data(url, output_csv_path):
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# Define the directory path and URLs for Chrome and Chromedriver
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chrome_directory = 'c:/tmp/chrome'
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chrome_exe_path = 'c:/tmp/chrome/chrome-win64/chrome.exe' # Modify this path as needed
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chrome_url = 'https://edgedl.me.gvt1.com/edgedl/chrome/chrome-for-testing/117.0.5938.92/win64/chrome-win64.zip'
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# Check if the Chrome directory exists, and if not, create it
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if not os.path.exists(chrome_directory):
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os.makedirs(chrome_directory)
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# Check if Chrome.exe and Chromedriver.exe exist in the directory
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if not os.path.exists(os.path.join(chrome_exe_path)):
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# Download and extract Chrome
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chrome_response = requests.get(chrome_url)
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with zipfile.ZipFile(BytesIO(chrome_response.content), 'r') as zip_ref:
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zip_ref.extractall(chrome_directory)
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# Set up Chrome options
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chrome_options = webdriver.ChromeOptions()
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chrome_options.binary_location = chrome_exe_path
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# Set up the Selenium WebDriver
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driver = webdriver.Chrome(options=chrome_options)
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# Navigate to the webpage
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driver.get(url)
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# Find all elements with the specified class names
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name_elements = driver.find_elements(By.CSS_SELECTOR, '.card-list-name-txt')
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number_elements = driver.find_elements(By.CSS_SELECTOR, '.card-list-num')
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# Extract data and store it in a list of dictionaries
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data = [{'Name': name.text, 'Number': number.text} for name, number in zip(name_elements, number_elements)]
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# Save data to CSV file
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with open(output_csv_path, 'w', newline='', encoding='utf-8') as csv_file:
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fieldnames = ['Name', 'Number']
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writer = csv.DictWriter(csv_file, fieldnames=fieldnames)
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writer.writeheader()
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writer.writerows(data)
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# Close the browser
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driver.quit()
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if __name__ == "__main__":
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# Replace these values with your actual URL, ChromeDriver path, and output CSV path
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webpage_url = 'https://www.lorcanawiz.com/cards/the-first-chapter'
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output_csv_path = 'setlist1.csv'
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# Call the function to scrape and save data
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scrape_and_save_data(webpage_url, output_csv_path)
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