All Ullu Web Series Name -

def get_all_ullu_series(force_refresh: bool = False) -> List[str]: """ Public entry point.

return titles

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 all ullu web series name

Parameters ---------- force_refresh: bool If True, ignore the cached file and scrape again. """ soup = BeautifulSoup(html, "lxml") nxt = soup

# Each card looks like <div class="show-card"> … <h3 class="title">XYZ</h3> … for h3 in soup.select("h3.title"): title = h3.get_text(strip=True) if title: titles.add(title) | | 2 | Parse the HTML to extract the title of each series

| 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: