from fastapi import FastAPI, HTTPException from fastapi.middleware.cors import CORSMiddleware from scraper import Scraper #import nest_asyncio import asyncio from playwright.async_api import async_playwright from fastapi import FastAPI import random # Allow nested use of asyncio.run() in Jupyter #nest_asyncio.apply() try: from pip._internal.operations import freeze except ImportError: # pip < 10.0 from pip.operations import freeze pkgs = freeze.freeze() for pkg in pkgs: print(pkg) app = FastAPI() app.add_middleware( CORSMiddleware, allow_origins=["*"], allow_credentials=True, allow_methods=["*"], allow_headers=["*"], ) import time @app.get("/get_scraped_data") async def get_data(url: str): try: data = await Scraper.scrape(url) return data except: return {"title": "error", "URL": url, "Content": "none"} @app.get("/fast_scrape") async def fast_scrape(url: str): headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36' } # Step 1: Send a request to the webpage response = requests.get(url, headers=headers) # Step 2: Parse the HTML content using BeautifulSoup soup = BeautifulSoup(response.content, 'html.parser') # Step 3: Extract the body tag and get all text within it body = soup.find('body') body_text = body.get_text(separator=' ', strip=True) if body else '' # Step 4: Output the body text return body_text # FastAPI route to scrape the website @app.get("/scrape") async def scrape_website(url: str): async with async_playwright() as p: # Launch browser in headless mode with custom args to bypass detection browser = await p.chromium.launch( headless=True, args=[ "--disable-blink-features=AutomationControlled", # Disable automation features "--no-sandbox", "--disable-dev-shm-usage", "--disable-web-security", "--disable-setuid-sandbox", "--disable-features=IsolateOrigins,site-per-process" ] ) # Create a new browser context context = await browser.new_context( user_agent="Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36" ) # Set additional headers to mimic real browsing await context.set_extra_http_headers({ "Accept-Language": "en-US,en;q=0.9", "Upgrade-Insecure-Requests": "1", "Referer": "https://www.nasdaq.com" }) # Create a new page page = await context.new_page() # Hide WebDriver and other automation-related properties await page.add_init_script(""" Object.defineProperty(navigator, 'webdriver', {get: () => undefined}); window.navigator.chrome = { runtime: {} }; Object.defineProperty(navigator, 'plugins', {get: () => [1, 2, 3, 4, 5]}); Object.defineProperty(navigator, 'languages', {get: () => ['en-US', 'en']}); """) # Block unnecessary resources (images, media, etc.) await page.route("**/*", lambda route: route.abort() if route.request.resource_type in ["image", "media", "stylesheet", "font", "xhr"] else route.continue_()) try: # Navigate to the page with random delays await asyncio.sleep(random.uniform(1, 5)) # Random delay await page.goto(url, wait_until='domcontentloaded', timeout=60000) # Randomized mouse movement and scrolling to mimic human interaction await page.mouse.move(random.uniform(0, 100), random.uniform(0, 100)) await page.mouse.wheel(0, random.uniform(200, 400)) await asyncio.sleep(random.uniform(1, 5)) # Another random delay # Get the title of the page title = await page.title() # Get all links on the page links = await page.evaluate("""() => { return Array.from(document.querySelectorAll('a')).map(a => a.href); }""") # Get page content (text from paragraphs and headers) content = await page.evaluate("""() => { let elements = Array.from(document.querySelectorAll('body *')); return elements .filter(element => element.tagName.match(/^(P|H1|H2|H3|H4|H5|H6|LI|DIV|SPAN)$/i) && element.innerText.trim().length > 0) .map(element => element.innerText.trim()) .join('\\n'); }""") # Close the browser await browser.close() return { "title": title, "links": links, "content": content } except Exception as e: return {"error": str(e)}