import urllib.request import urllib.parse import http.cookiejar import re cj = http.cookiejar.CookieJar() opener = urllib.request.build_opener(urllib.request.HTTPCookieProcessor(cj)) login_url = "https://ims.rajalakshmi.edu.in/ims/login" headers = { 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/120.0.0.0 Safari/537.36', 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', } # Step 1: GET login page req = urllib.request.Request(login_url, headers=headers) with opener.open(req) as resp: html = resp.read().decode('utf-8') csrf_m = re.search(r'name="_token"\s+value="([^"]+)"', html) csrf_token = csrf_m.group(1) if csrf_m else '' print(f"CSRF Token: {csrf_token}") # Step 2: POST login post_data = urllib.parse.urlencode({ '_token': csrf_token, 'username': '2117240070293', 'password': '7010406809' }).encode('utf-8') req_post = urllib.request.Request(login_url, data=post_data, headers=headers) with opener.open(req_post) as resp_post: dash_html = resp_post.read().decode('utf-8') print(f"Login success! Dash HTML length: {len(dash_html)}") # Step 3: Find all hrefs containing lab or assignment or mark or report all_links = re.findall(r']+href="([^"]+)"[^>]*>(.*?)', dash_html, re.DOTALL) print(f"Total links found: {len(all_links)}") for href, label in all_links: clean_label = re.sub(r'<[^>]+>', '', label).strip() clean_label_lower = clean_label.lower() if 'lab' in clean_label_lower or 'assignment' in clean_label_lower or 'mark' in clean_label_lower or 'grade' in clean_label_lower or 'cat' in clean_label_lower: print(f"Link: '{clean_label}' -> Href: '{href}'") # Also search for all hrefs in the full HTML to be sure all_hrefs = re.findall(r'href="([^"]+)"', dash_html) print("\n--- ALL UNIQUE HREFS IN DASHBOARD ---") for h in set(all_hrefs): if 'admin' in h or 'student' in h or 'mark' in h or 'report' in h: print(" ", h)