Article Scraper.py

from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
import pandas as pd
import regex as re
import time

# Set up Selenium WebDriver
service = Service("chromedriver.exe")  # Update with the path to your ChromeDriver
driver = webdriver.Chrome(service=service)

# Base URL of the topics
base_url = "https://acharyaprashant.org/en/articles/topic/"

# To store all the article URLs
article_data = []

# Iterate over all 257 topic URLs
for topic_id in range(1, 258):
    topic_url = f"{base_url}{topic_id}"
    try:
        driver.get(topic_url)
        time.sleep(2)  # Allow time for the page to load fully

        # Run the JavaScript code to get all the divs
        article_divs = driver.execute_script(
            """
            return Array.from(
                document.getElementsByClassName(
                    "article-cell relative cursor-pointer p-4 hover:bg-surface-100 laptop:ml-4 laptop:pr-0 svelte-kyxxwg"
                )
            );
            """
        )

        # Extract the URLs from each div
        for div in article_divs:
            inner_html = driver.execute_script("return arguments[0].innerHTML;", div)
            matches = re.findall(r'<a href="(/en/articles/[^"]+)', inner_html)
            for match in matches:
                # Append the full URL of the article
                article_url = f"https://acharyaprashant.org{match}"
                article_data.append({"Topic ID": topic_id, "Article URL": article_url})
                print(f"Found:{article_url}")

    except Exception as e:
        print(f"Error processing topic {topic_id}: {e}")

# Close the WebDriver
driver.quit()

# Save the article URLs to a CSV file
df = pd.DataFrame(article_data)
df.to_csv("acharya_prashant_articles.csv", index=False)

print("Article URLs have been successfully saved to 'acharya_prashant_articles.csv'.")