All Ullu Web Series Name -

# -------------------------------------------------------------- # CONFIGURATION # -------------------------------------------------------------- BASE_URL = "https://www.ullu.com" # The catalogue page that shows the series grid. (as of 2024‑06) CATALOGUE_PATH = "/tv-shows" # Where to store a simple JSON cache (optional but recommended) CACHE_FILE = Path(__file__).with_name("ullu_series_cache.json") CACHE_TTL_SECONDS = 24 * 3600 # 1 day

Parameters ---------- force_refresh: bool If True, ignore the cached file and scrape again.

Author: ChatGPT (2024‑06) License: MIT """ all ullu web series name

def _next_page_url(html: str) -> str | None: """ Detect the URL of the “next” pagination link. Returns None when we’re on the last page. """ soup = BeautifulSoup(html, "lxml") nxt = soup.select_one("a[rel='next'], li.next > a") if nxt and nxt.get("href"): # Some links are relative – turn them into absolute URLs. return requests.compat.urljoin(BASE_URL, nxt["href"]) return None

| Step | Action | |------|--------| | 1 | Load the public Ullu catalogue page(s) (the site lists series in a paginated grid). | | 2 | Parse the HTML to extract the title of each series. | | 3 | Follow the “next‑page” link automatically until no more pages exist. | | 4 | Return a unique, alphabetically‑sorted list of every series name. | | 5 | (Optional) Cache the result locally for ⚡ fast subsequent runs. | Why this is useful – You can use the list for: • Building a personal watch‑list UI. • Feeding a recommendation‑engine. • Simple analytics (e.g., count of series per genre). • Exporting to CSV/JSON for downstream processing. 2️⃣ Implementation – Python 3.x (≈ 40 LOC) Dependencies – requests , beautifulsoup4 , lxml (for speed). Install with: Returns None when we’re on the last page

def _save_cache(titles: List[str]) -> None: """Persist titles to the JSON cache.""" CACHE_FILE.write_text(json.dumps(titles, ensure_ascii=False, indent=2), encoding="utf-8")

# -------------------------------------------------------------- # CORE LOGIC # -------------------------------------------------------------- def _load_cache() -> List[str] | None: """Return cached titles if file exists and is fresh, else None.""" if not CACHE_FILE.is_file(): return None mtime = CACHE_FILE.stat().st_mtime if time.time() - mtime > CACHE_TTL_SECONDS: return None try: return json.loads(CACHE_FILE.read_text(encoding="utf-8")) except Exception: return None | | 2 | Parse the HTML to extract the title of each series

all_titles: Set[str] = set() page_url = requests.compat.urljoin(BASE_URL, CATALOGUE_PATH)