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import asyncio
from playwright.async_api import async_playwright, Playwright, TimeoutError as PlaywrightTimeoutError
from bs4 import BeautifulSoup, NavigableString, Tag
import re
import os
from urllib.parse import urljoin
import sqlite3
import datetime
import time
import random
import xml.etree.ElementTree as ET

# --- Configuration ---
DATABASE_FILE = "scraped.db"
MARKDOWN_OUTPUT_DIR = "scraped_md"
URLS_FILE = "urls.txt"
DELAY_MIN_SECONDS = 0.5
DELAY_MAX_SECONDS = 1.0
NAVIGATION_TIMEOUT_SECONDS = 60 # Set an explicit timeout for page navigation

# --- Database Functions ---
def init_db():
    """Initializes the SQLite database and creates the necessary table."""
    os.makedirs(MARKDOWN_OUTPUT_DIR, exist_ok=True)
    conn = sqlite3.connect(DATABASE_FILE)
    cursor = conn.cursor()
    cursor.execute('''
        CREATE TABLE IF NOT EXISTS scraped_data (
            id INTEGER PRIMARY KEY AUTOINCREMENT,
            url TEXT NOT NULL,
            title TEXT,
            full_markdown_content TEXT,
            status_code INTEGER,
            error_message TEXT,
            timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
        )
    ''')
    conn.commit()
    conn.close()
    print(f"[*] Database '{DATABASE_FILE}' initialized and '{MARKDOWN_OUTPUT_DIR}' directory ensured.")

def insert_scraped_data(url, title, markdown_content, status_code, error_message=None):
    """Inserts scraped data into the database."""
    conn = sqlite3.connect(DATABASE_FILE)
    cursor = conn.cursor()
    cursor.execute('''
        INSERT INTO scraped_data (url, title, full_markdown_content, status_code, error_message)
        VALUES (?, ?, ?, ?, ?)
    ''', (url, title, markdown_content, status_code, error_message))
    conn.commit()
    conn.close()

# --- Core Scraping Function for a single page's content extraction ---
async def process_page_content(page, url):
    """
    Extracts text and inline Markdown links from <p> tags on a given page.
    """
    try:
        html_content = await page.content()
        soup = BeautifulSoup(html_content, 'html.parser')

        page_title = soup.find('title').text if soup.find('title') else 'Untitled_Page_No_JS'
        
        markdown_paragraphs = []
        
        for p_tag in soup.find_all('p'):
            paragraph_markdown = []
            for content in p_tag.contents:
                if isinstance(content, NavigableString):
                    paragraph_markdown.append(str(content).strip())
                elif isinstance(content, Tag) and content.name == 'a':
                    link_text = content.get_text(strip=True)
                    link_href = content.get('href')

                    if link_href:
                        if not link_href.startswith(('http://', 'https://', 'mailto:', 'tel:', '#')):
                            link_href = urljoin(url, link_href)
                        paragraph_markdown.append(f"[{link_text}]({link_href})")
                    else:
                        paragraph_markdown.append(link_text)
                else:
                    paragraph_markdown.append(content.get_text(strip=True))
            
            if any(paragraph_markdown):
                joined_paragraph = " ".join(paragraph_markdown).strip()
                joined_paragraph = re.sub(r'\s+', ' ', joined_paragraph) # Clean multiple spaces
                markdown_paragraphs.append(joined_paragraph)

        full_markdown_content = f"# {page_title}\n\n"
        full_markdown_content += "\n\n".join(markdown_paragraphs)

        return {
            "title": page_title,
            "markdown_content": full_markdown_content,
            "error_message": None
        }

    except Exception as e:
        return {
            "title": "Error Processing Content",
            "markdown_content": "",
            "error_message": f"Error during content parsing: {e}"
        }

# --- Main execution function ---
def load_urls_from_sitemap(sitemap_path):
    """Parses an XML sitemap file and returns a list of URLs."""
    urls = []
    try:
        tree = ET.parse(sitemap_path)
        root = tree.getroot()
        # Namespace for sitemap XML
        namespace = {'sitemap': 'http://www.sitemaps.org/schemas/sitemap/0.9'}
        for url_element in root.findall('sitemap:url', namespace):
            loc_element = url_element.find('sitemap:loc', namespace)
            if loc_element is not None:
                urls.append(loc_element.text)
        print(f"[*] Loaded {len(urls)} URLs from sitemap: '{sitemap_path}'")
        return urls
    except FileNotFoundError:
        print(f"ERROR: Sitemap file '{sitemap_path}' not found.")
        return []
    except ET.ParseError as e:
        print(f"ERROR: Failed to parse sitemap '{sitemap_path}': {e}")
        return []
    except Exception as e:
        print(f"An unexpected error occurred while loading sitemap: {e}")
        return []

async def main():
    init_db()

    urls_to_scrape = []
    
    # Prompt user for sitemap or urls.txt
    print("\n--- URL Source Selection ---")
    print("1. Load URLs from 'urls.txt' (one URL per line)")
    print("2. Load URLs from an XML sitemap file")
    choice = input("Enter your choice (1 or 2): ").strip()

    if choice == '1':
        try:
            with open(URLS_FILE, 'r', encoding='utf-8') as f:
                urls_to_scrape = [line.strip() for line in f if line.strip()]
            if not urls_to_scrape:
                print(f"WARNING: '{URLS_FILE}' is empty. No URLs to scrape.")
                return
            print(f"[*] Using URLs from '{URLS_FILE}'.")
        except FileNotFoundError:
            print(f"ERROR: '{URLS_FILE}' not found. Please create the file with URLs, one per line.")
            return
    elif choice == '2':
        sitemap_path = input("Enter the path to the XML sitemap file: ").strip()
        if not sitemap_path:
            print("Sitemap path cannot be empty. Exiting.")
            return
        urls_to_scrape = load_urls_from_sitemap(sitemap_path)
        if not urls_to_scrape:
            print("No URLs loaded from sitemap. Exiting.")
            return
    else:
        print("Invalid choice. Please enter 1 or 2.")
        return

    total_urls = len(urls_to_scrape)
    if total_urls == 0:
        print("No URLs available for scraping. Exiting.")
        return

    start_total_time = time.time()
    
    print(f"--- Starting automated scraping of {total_urls} URLs ---")
    # This message is crucial for the user to understand what will happen visually
    print(f"[*] Browsers will launch non-headless (visible), process the page, and close automatically for each URL.")
    print(f"[*] No manual input required after starting. It will proceed to the next URL after a short delay.")
    print(f"[*] Delay between requests: {DELAY_MIN_SECONDS:.1f} - {DELAY_MAX_SECONDS:.1f} seconds.")
    print(f"[*] Navigation timeout set to {NAVIGATION_TIMEOUT_SECONDS} seconds per page.")

    # We will launch and close a browser/context for each URL.
    # This ensures a clean state and handles potential hangs more robustly when headless=False.
    for i, url in enumerate(urls_to_scrape):
        current_index = i + 1
        
        elapsed_time = time.time() - start_total_time
        avg_time_per_url = elapsed_time / current_index if current_index > 0 else 0
        remaining_urls = total_urls - current_index
        eta_seconds = remaining_urls * avg_time_per_url
        eta_display = str(datetime.timedelta(seconds=int(eta_seconds)))

        print(f"\n--- Progress: {current_index}/{total_urls} --- ETA: {eta_display} ---")
        print(f"[*] Attempting to navigate to: {url}")

        browser = None
        status_code = 0
        scraped_data_title = "Not Scraped"
        scraped_data_markdown = ""
        scraped_data_error = "Unknown error"

        try:
            async with async_playwright() as p:
                browser = await p.chromium.launch(headless=False) # STILL headless=False
                context = await browser.new_context(java_script_enabled=False)
                
                # Set realistic headers for the context
                await context.set_extra_http_headers({
                    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36",
                    "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7",
                    "Accept-Language": "en,en-AU;q=0.9,sr;q=0.8,sr-RS;q=0.7,en-GB;q=0.6,en-US;q=0.5,hr;q=0.4",
                    "Cache-Control": "max-age=0",
                    "Sec-Ch-Ua": '"Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"',
                    "Sec-Ch-Ua-Mobile": "?0",
                    "Sec-Ch-Ua-Platform": '"Windows"',
                    "Sec-Fetch-Dest": "document",
                    "Sec-Fetch-Mode": "navigate",
                    "Sec-Fetch-Site": "same-origin",
                    "Sec-Fetch-User": "?1",
                    "Upgrade-Insecure-Requests": "1"
                })

                page = await context.new_page()

                # --- Core Navigation with Timeout ---
                try:
                    response = await page.goto(url, wait_until="load", timeout=NAVIGATION_TIMEOUT_SECONDS * 1000) # Playwright timeout is in ms
                    status_code = response.status if response else 0
                    print(f"[*] Page loaded. HTTP Status: {status_code}")

                    if 200 <= status_code < 300: # Success codes
                        scraped_content_result = await process_page_content(page, url)
                        scraped_data_title = scraped_content_result["title"]
                        scraped_data_markdown = scraped_content_result["markdown_content"]
                        scraped_data_error = scraped_content_result["error_message"]
                        print(f"[*] Content extraction attempted for: {url}")
                    else:
                        scraped_data_title = f"HTTP Error {status_code}"
                        scraped_data_markdown = ""
                        scraped_data_error = f"Navigation failed with status {status_code}"
                        print(f"[*] WARNING: Non-2xx status code: {status_code}")

                except PlaywrightTimeoutError:
                    status_code = 408 # Request Timeout
                    scraped_data_title = "Navigation Timeout"
                    scraped_data_markdown = ""
                    scraped_data_error = f"Navigation timed out after {NAVIGATION_TIMEOUT_SECONDS} seconds."
                    print(f"[*] ERROR: Navigation timed out for {url}")
                except Exception as nav_error:
                    status_code = 0 # General error
                    scraped_data_title = "Navigation Error"
                    scraped_data_markdown = ""
                    scraped_data_error = f"Error during navigation: {nav_error}"
                    print(f"[*] ERROR during navigation for {url}: {nav_error}")
                
                # Ensure page and context are closed after each URL
                await page.close()
                await context.close()

        except Exception as browser_launch_error:
            # This catches errors if the browser itself fails to launch or something critical
            scraped_data_title = "Browser Launch Error"
            scraped_data_markdown = ""
            scraped_data_error = f"Browser or context launch failed: {browser_launch_error}"
            print(f"[*] CRITICAL ERROR (Browser/Context Launch) for {url}: {browser_launch_error}")
        finally:
            if browser:
                await browser.close() # Ensure the browser instance is closed

        # Store result in DB
        insert_scraped_data(
            url,
            scraped_data_title,
            scraped_data_markdown,
            status_code,
            scraped_data_error
        )
        print(f"[*] Data for {url} saved to '{DATABASE_FILE}'.")

        # Save to MD file if successful content was extracted and no content parsing error
        if scraped_data_markdown and not scraped_data_error:
            safe_filename = re.sub(r'[\\/:*?"<>| ]', '_', scraped_data_title)[:100]
            md_filename = os.path.join(MARKDOWN_OUTPUT_DIR, f"{safe_filename}.md")
            try:
                with open(md_filename, 'w', encoding='utf-8') as f:
                    f.write(scraped_data_markdown)
                print(f"[*] Markdown saved to {md_filename}")
            except Exception as file_error:
                print(f"[*] ERROR: Failed to save MD file for {url}: {file_error}")
        elif scraped_data_error:
            print(f"[*] Skipping MD file creation for {url} due to an error.")

        # Add a random delay between requests, except after the very last URL
        if i < total_urls - 1:
            delay = random.uniform(DELAY_MIN_SECONDS, DELAY_MAX_SECONDS)
            print(f"[*] Waiting {delay:.2f} seconds before next URL...")
            await asyncio.sleep(delay)

    end_total_time = time.time()
    total_duration = str(datetime.timedelta(seconds=int(end_total_time - start_total_time)))
    print(f"\n=== Automated scraping process complete! ===")
    print(f"Total URLs processed: {total_urls}")
    print(f"Total duration: {total_duration}")
    print(f"Scraped data saved to '{DATABASE_FILE}' and markdown files in '{MARKDOWN_OUTPUT_DIR}/'.")

if __name__ == "__main__":
    asyncio.run(main())

	import asyncio
	from playwright.async_api import async_playwright, Playwright, TimeoutError as PlaywrightTimeoutError
	from bs4 import BeautifulSoup, NavigableString, Tag
	import re
	import os
	from urllib.parse import urljoin
	import sqlite3
	import datetime
	import time
	import random
	import xml.etree.ElementTree as ET

	# --- Configuration ---
	DATABASE_FILE = "scraped.db"
	MARKDOWN_OUTPUT_DIR = "scraped_md"
	URLS_FILE = "urls.txt"
	DELAY_MIN_SECONDS = 0.5
	DELAY_MAX_SECONDS = 1.0
	NAVIGATION_TIMEOUT_SECONDS = 60 # Set an explicit timeout for page navigation

	# --- Database Functions ---
	def init_db():
	"""Initializes the SQLite database and creates the necessary table."""
	os.makedirs(MARKDOWN_OUTPUT_DIR, exist_ok=True)
	conn = sqlite3.connect(DATABASE_FILE)
	cursor = conn.cursor()
	cursor.execute('''
	CREATE TABLE IF NOT EXISTS scraped_data (
	id INTEGER PRIMARY KEY AUTOINCREMENT,
	url TEXT NOT NULL,
	title TEXT,
	full_markdown_content TEXT,
	status_code INTEGER,
	error_message TEXT,
	timestamp DATETIME DEFAULT CURRENT_TIMESTAMP
	)
	''')
	conn.commit()
	conn.close()
	print(f"[*] Database '{DATABASE_FILE}' initialized and '{MARKDOWN_OUTPUT_DIR}' directory ensured.")

	def insert_scraped_data(url, title, markdown_content, status_code, error_message=None):
	"""Inserts scraped data into the database."""
	conn = sqlite3.connect(DATABASE_FILE)
	cursor = conn.cursor()
	cursor.execute('''
	INSERT INTO scraped_data (url, title, full_markdown_content, status_code, error_message)
	VALUES (?, ?, ?, ?, ?)
	''', (url, title, markdown_content, status_code, error_message))
	conn.commit()
	conn.close()

	# --- Core Scraping Function for a single page's content extraction ---
	async def process_page_content(page, url):
	"""
	Extracts text and inline Markdown links from <p> tags on a given page.
	"""
	try:
	html_content = await page.content()
	soup = BeautifulSoup(html_content, 'html.parser')

	page_title = soup.find('title').text if soup.find('title') else 'Untitled_Page_No_JS'

	markdown_paragraphs = []

	for p_tag in soup.find_all('p'):
	paragraph_markdown = []
	for content in p_tag.contents:
	if isinstance(content, NavigableString):
	paragraph_markdown.append(str(content).strip())
	elif isinstance(content, Tag) and content.name == 'a':
	link_text = content.get_text(strip=True)
	link_href = content.get('href')

	if link_href:
	if not link_href.startswith(('http://', 'https://', 'mailto:', 'tel:', '#')):
	link_href = urljoin(url, link_href)
	paragraph_markdown.append(f"[{link_text}]({link_href})")
	else:
	paragraph_markdown.append(link_text)
	else:
	paragraph_markdown.append(content.get_text(strip=True))

	if any(paragraph_markdown):
	joined_paragraph = " ".join(paragraph_markdown).strip()
	joined_paragraph = re.sub(r'\s+', ' ', joined_paragraph) # Clean multiple spaces
	markdown_paragraphs.append(joined_paragraph)

	full_markdown_content = f"# {page_title}\n\n"
	full_markdown_content += "\n\n".join(markdown_paragraphs)

	return {
	"title": page_title,
	"markdown_content": full_markdown_content,
	"error_message": None
	}

	except Exception as e:
	return {
	"title": "Error Processing Content",
	"markdown_content": "",
	"error_message": f"Error during content parsing: {e}"
	}

	# --- Main execution function ---
	def load_urls_from_sitemap(sitemap_path):
	"""Parses an XML sitemap file and returns a list of URLs."""
	urls = []
	try:
	tree = ET.parse(sitemap_path)
	root = tree.getroot()
	# Namespace for sitemap XML
	namespace = {'sitemap': 'http://www.sitemaps.org/schemas/sitemap/0.9'}
	for url_element in root.findall('sitemap:url', namespace):
	loc_element = url_element.find('sitemap:loc', namespace)
	if loc_element is not None:
	urls.append(loc_element.text)
	print(f"[*] Loaded {len(urls)} URLs from sitemap: '{sitemap_path}'")
	return urls
	except FileNotFoundError:
	print(f"ERROR: Sitemap file '{sitemap_path}' not found.")
	return []
	except ET.ParseError as e:
	print(f"ERROR: Failed to parse sitemap '{sitemap_path}': {e}")
	return []
	except Exception as e:
	print(f"An unexpected error occurred while loading sitemap: {e}")
	return []

	async def main():
	init_db()

	urls_to_scrape = []

	# Prompt user for sitemap or urls.txt
	print("\n--- URL Source Selection ---")
	print("1. Load URLs from 'urls.txt' (one URL per line)")
	print("2. Load URLs from an XML sitemap file")
	choice = input("Enter your choice (1 or 2): ").strip()

	if choice == '1':
	try:
	with open(URLS_FILE, 'r', encoding='utf-8') as f:
	urls_to_scrape = [line.strip() for line in f if line.strip()]
	if not urls_to_scrape:
	print(f"WARNING: '{URLS_FILE}' is empty. No URLs to scrape.")
	return
	print(f"[*] Using URLs from '{URLS_FILE}'.")
	except FileNotFoundError:
	print(f"ERROR: '{URLS_FILE}' not found. Please create the file with URLs, one per line.")
	return
	elif choice == '2':
	sitemap_path = input("Enter the path to the XML sitemap file: ").strip()
	if not sitemap_path:
	print("Sitemap path cannot be empty. Exiting.")
	return
	urls_to_scrape = load_urls_from_sitemap(sitemap_path)
	if not urls_to_scrape:
	print("No URLs loaded from sitemap. Exiting.")
	return
	else:
	print("Invalid choice. Please enter 1 or 2.")
	return

	total_urls = len(urls_to_scrape)
	if total_urls == 0:
	print("No URLs available for scraping. Exiting.")
	return

	start_total_time = time.time()

	print(f"--- Starting automated scraping of {total_urls} URLs ---")
	# This message is crucial for the user to understand what will happen visually
	print(f"[*] Browsers will launch non-headless (visible), process the page, and close automatically for each URL.")
	print(f"[*] No manual input required after starting. It will proceed to the next URL after a short delay.")
	print(f"[*] Delay between requests: {DELAY_MIN_SECONDS:.1f} - {DELAY_MAX_SECONDS:.1f} seconds.")
	print(f"[*] Navigation timeout set to {NAVIGATION_TIMEOUT_SECONDS} seconds per page.")

	# We will launch and close a browser/context for each URL.
	# This ensures a clean state and handles potential hangs more robustly when headless=False.
	for i, url in enumerate(urls_to_scrape):
	current_index = i + 1

	elapsed_time = time.time() - start_total_time
	avg_time_per_url = elapsed_time / current_index if current_index > 0 else 0
	remaining_urls = total_urls - current_index
	eta_seconds = remaining_urls * avg_time_per_url
	eta_display = str(datetime.timedelta(seconds=int(eta_seconds)))

	print(f"\n--- Progress: {current_index}/{total_urls} --- ETA: {eta_display} ---")
	print(f"[*] Attempting to navigate to: {url}")

	browser = None
	status_code = 0
	scraped_data_title = "Not Scraped"
	scraped_data_markdown = ""
	scraped_data_error = "Unknown error"

	try:
	async with async_playwright() as p:
	browser = await p.chromium.launch(headless=False) # STILL headless=False
	context = await browser.new_context(java_script_enabled=False)

	# Set realistic headers for the context
	await context.set_extra_http_headers({
	"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/138.0.0.0 Safari/537.36",
	"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,/;q=0.8,application/signed-exchange;v=b3;q=0.7",
	"Accept-Language": "en,en-AU;q=0.9,sr;q=0.8,sr-RS;q=0.7,en-GB;q=0.6,en-US;q=0.5,hr;q=0.4",
	"Cache-Control": "max-age=0",
	"Sec-Ch-Ua": '"Not)A;Brand";v="8", "Chromium";v="138", "Google Chrome";v="138"',
	"Sec-Ch-Ua-Mobile": "?0",
	"Sec-Ch-Ua-Platform": '"Windows"',
	"Sec-Fetch-Dest": "document",
	"Sec-Fetch-Mode": "navigate",
	"Sec-Fetch-Site": "same-origin",
	"Sec-Fetch-User": "?1",
	"Upgrade-Insecure-Requests": "1"
	})

	page = await context.new_page()

	# --- Core Navigation with Timeout ---
	try:
	response = await page.goto(url, wait_until="load", timeout=NAVIGATION_TIMEOUT_SECONDS * 1000) # Playwright timeout is in ms
	status_code = response.status if response else 0
	print(f"[*] Page loaded. HTTP Status: {status_code}")

	if 200 <= status_code < 300: # Success codes
	scraped_content_result = await process_page_content(page, url)
	scraped_data_title = scraped_content_result["title"]
	scraped_data_markdown = scraped_content_result["markdown_content"]
	scraped_data_error = scraped_content_result["error_message"]
	print(f"[*] Content extraction attempted for: {url}")
	else:
	scraped_data_title = f"HTTP Error {status_code}"
	scraped_data_markdown = ""
	scraped_data_error = f"Navigation failed with status {status_code}"
	print(f"[*] WARNING: Non-2xx status code: {status_code}")

	except PlaywrightTimeoutError:
	status_code = 408 # Request Timeout
	scraped_data_title = "Navigation Timeout"
	scraped_data_markdown = ""
	scraped_data_error = f"Navigation timed out after {NAVIGATION_TIMEOUT_SECONDS} seconds."
	print(f"[*] ERROR: Navigation timed out for {url}")
	except Exception as nav_error:
	status_code = 0 # General error
	scraped_data_title = "Navigation Error"
	scraped_data_markdown = ""
	scraped_data_error = f"Error during navigation: {nav_error}"
	print(f"[*] ERROR during navigation for {url}: {nav_error}")

	# Ensure page and context are closed after each URL
	await page.close()
	await context.close()

	except Exception as browser_launch_error:
	# This catches errors if the browser itself fails to launch or something critical
	scraped_data_title = "Browser Launch Error"
	scraped_data_markdown = ""
	scraped_data_error = f"Browser or context launch failed: {browser_launch_error}"
	print(f"[*] CRITICAL ERROR (Browser/Context Launch) for {url}: {browser_launch_error}")
	finally:
	if browser:
	await browser.close() # Ensure the browser instance is closed

	# Store result in DB
	insert_scraped_data(
	url,
	scraped_data_title,
	scraped_data_markdown,
	status_code,
	scraped_data_error
	)
	print(f"[*] Data for {url} saved to '{DATABASE_FILE}'.")

	# Save to MD file if successful content was extracted and no content parsing error
	if scraped_data_markdown and not scraped_data_error:
	safe_filename = re.sub(r'[\\/:*?"<>\| ]', '_', scraped_data_title)[:100]
	md_filename = os.path.join(MARKDOWN_OUTPUT_DIR, f"{safe_filename}.md")
	try:
	with open(md_filename, 'w', encoding='utf-8') as f:
	f.write(scraped_data_markdown)
	print(f"[*] Markdown saved to {md_filename}")
	except Exception as file_error:
	print(f"[*] ERROR: Failed to save MD file for {url}: {file_error}")
	elif scraped_data_error:
	print(f"[*] Skipping MD file creation for {url} due to an error.")

	# Add a random delay between requests, except after the very last URL
	if i < total_urls - 1:
	delay = random.uniform(DELAY_MIN_SECONDS, DELAY_MAX_SECONDS)
	print(f"[*] Waiting {delay:.2f} seconds before next URL...")
	await asyncio.sleep(delay)

	end_total_time = time.time()
	total_duration = str(datetime.timedelta(seconds=int(end_total_time - start_total_time)))
	print(f"\n=== Automated scraping process complete! ===")
	print(f"Total URLs processed: {total_urls}")
	print(f"Total duration: {total_duration}")
	print(f"Scraped data saved to '{DATABASE_FILE}' and markdown files in '{MARKDOWN_OUTPUT_DIR}/'.")

	if __name__ == "__main__":
	asyncio.run(main())