| import os |
| import time |
| import random |
| import requests |
| from urllib.parse import urljoin |
| from selenium import webdriver |
| from selenium.webdriver.chrome.service import Service |
| from selenium.webdriver.chrome.options import Options |
| from selenium.webdriver.common.by import By |
| from selenium.webdriver.support.ui import WebDriverWait |
| from selenium.webdriver.support import expected_conditions as EC |
| from webdriver_manager.chrome import ChromeDriverManager |
| from bs4 import BeautifulSoup |
|
|
| |
| BASE_URL = "https://openi.nlm.nih.gov" |
| SEARCH_URL = "https://openi.nlm.nih.gov/gridquery?it=xg&m=1&n=100&q=pneumonia%20x%20ray" |
| DATA_DIR = "xray_images" |
| DELAY_RANGE = (1, 3) |
| HEADERS = { |
| "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36", |
| "Referer": BASE_URL |
| } |
|
|
|
|
| def setup_driver(): |
| """Configure Chrome with advanced anti-detection settings""" |
| chrome_options = Options() |
| chrome_options.add_argument("--headless=new") |
| chrome_options.add_argument("--disable-blink-features=AutomationControlled") |
| chrome_options.add_experimental_option("excludeSwitches", ["enable-automation"]) |
| chrome_options.add_experimental_option("useAutomationExtension", False) |
| chrome_options.add_argument("--window-size=1920,1080") |
|
|
| |
| user_agents = [ |
| "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36", |
| "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36" |
| ] |
| chrome_options.add_argument(f"user-agent={random.choice(user_agents)}") |
|
|
| service = Service(ChromeDriverManager().install()) |
| driver = webdriver.Chrome(service=service, options=chrome_options) |
|
|
| |
| driver.execute_cdp_cmd("Page.addScriptToEvaluateOnNewDocument", { |
| "source": """ |
| Object.defineProperty(navigator, 'webdriver', {get: () => undefined}); |
| window.navigator.chrome = {runtime: {}}; |
| """ |
| }) |
|
|
| return driver |
|
|
|
|
| def load_full_page(driver): |
| """Ensure all content is loaded with multiple scroll attempts""" |
| print("Loading full page content...") |
| for _ in range(3): |
| driver.execute_script("window.scrollTo(0, document.body.scrollHeight);") |
| time.sleep(random.uniform(2, 4)) |
| driver.execute_script("window.scrollTo(0, 0);") |
| time.sleep(random.uniform(1, 2)) |
|
|
|
|
| def extract_image_urls(driver): |
| """Multi-strategy URL extraction with fallbacks""" |
| print("Extracting image URLs...") |
| soup = BeautifulSoup(driver.page_source, "html.parser") |
| urls = [] |
|
|
| |
| for img in soup.select('img[src*="/imgs/"]'): |
| src = img.get('src', '') |
| if src.endswith('.png'): |
| urls.append(urljoin(BASE_URL, src)) |
|
|
| |
| if not urls: |
| for div in soup.select('div[data-ng-init*="img"]'): |
| init_str = div.get('data-ng-init', '') |
| if 'img:' in init_str: |
| img_id = init_str.split("'")[3] |
| urls.append(f"{BASE_URL}/imgs/collections/{img_id}.png") |
|
|
| |
| if not urls: |
| script_tags = soup.find_all('script', type='text/javascript') |
| for script in script_tags: |
| if 'img:' in script.text: |
| lines = script.text.split('\n') |
| for line in lines: |
| if 'img:' in line: |
| img_id = line.split("'")[3] |
| urls.append(f"{BASE_URL}/imgs/collections/{img_id}.png") |
|
|
| return list(set(urls)) |
|
|
|
|
| def verify_download(url): |
| """Validate image URLs before downloading""" |
| try: |
| head_response = requests.head(url, headers=HEADERS, timeout=10) |
| if head_response.status_code == 200: |
| return True |
| print(f"Invalid URL: {url} (Status: {head_response.status_code})") |
| return False |
| except Exception as e: |
| print(f"URL verification failed: {url} - {str(e)}") |
| return False |
|
|
|
|
| def download_images(url_list): |
| """Batch download with progress tracking""" |
| os.makedirs(DATA_DIR, exist_ok=True) |
| success_count = 0 |
|
|
| for idx, url in enumerate(url_list, 1): |
| print(f"Processing {idx}/{len(url_list)}") |
|
|
| if not verify_download(url): |
| continue |
|
|
| try: |
| filename = url.split('/')[-1] |
| filepath = os.path.join(DATA_DIR, filename) |
|
|
| if os.path.exists(filepath): |
| print(f"Skipping existing: {filename}") |
| success_count += 1 |
| continue |
|
|
| response = requests.get(url, headers=HEADERS, stream=True, timeout=30) |
| response.raise_for_status() |
|
|
| |
| if response.headers['Content-Type'] not in ['image/png', 'image/jpeg']: |
| raise ValueError("Invalid content type") |
|
|
| with open(filepath, 'wb') as f: |
| for chunk in response.iter_content(chunk_size=8192): |
| if chunk: |
| f.write(chunk) |
|
|
| print(f"Downloaded: {filename}") |
| success_count += 1 |
|
|
| except Exception as e: |
| print(f"Download failed: {url} - {str(e)}") |
|
|
| time.sleep(random.uniform(*DELAY_RANGE)) |
|
|
| return success_count |
|
|
|
|
| def main(): |
| driver = setup_driver() |
|
|
| try: |
| |
| print("Navigating to search page...") |
| driver.get(SEARCH_URL) |
|
|
| |
| WebDriverWait(driver, 20).until( |
| EC.presence_of_element_located((By.CSS_SELECTOR, "body")) |
| ) |
|
|
| |
| load_full_page(driver) |
|
|
| |
| image_urls = extract_image_urls(driver) |
|
|
| if not image_urls: |
| print("No URLs found - saving debug files...") |
| with open("debug_page.html", "w", encoding="utf-8") as f: |
| f.write(driver.page_source) |
| driver.save_screenshot("debug_screenshot.png") |
| return |
|
|
| print(f"Found {len(image_urls)} potential image URLs") |
|
|
| |
| success = download_images(image_urls) |
| print(f"\nDownload complete! Successfully saved {success}/{len(image_urls)} images") |
|
|
| finally: |
| driver.quit() |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|