Pip & Posy Filmyzilla 🆕 Instant

# De‑duplicate against a local cache cache_file = Path("cache.txt") known = set(cache_file.read_text().splitlines()) if cache_file.exists() else set()

while True: try: html = fetch_latest_page() raw_titles = parse_titles(html)

# Search for a recent Bollywood hit movies = p.search("RRR") print(f"Found len(movies) matches.") pip & posy filmyzilla

# ---------------------------------------------------------------------- # Helper: parse movie titles from the HTML # ---------------------------------------------------------------------- def parse_titles(html: str): soup = BeautifulSoup(html, "html.parser") # Filmyzilla typically lists titles inside <a class="movie-title"> tags. # Adjust the selector if the site changes. title_tags = soup.select("a.movie-title") titles = [tag.get_text(strip=True) for tag in title_tags] logging.info(f"Found len(titles) titles on the page.") return titles

# Update cache with cache_file.open("a") as f: for t in new_titles: f.write(t + "\n") # De‑duplicate against a local cache cache_file =

# Store results in a CSV for later analysis df = pd.DataFrame(enriched) out_path = Path("filmyzilla_watch.csv") df.to_csv(out_path, mode='a', header=not out_path.exists(), index=False) logging.info(f"Appended len(enriched) rows to out_path")

except Exception as exc: logging.exception(f"Unexpected error: exc") adjust as needed

# ---------------------------------------------------------------------- # Helper: fetch the Filmyzilla “latest releases” page # ---------------------------------------------------------------------- BASE_URL = "https://www.filmyzilla.com" LATEST_PATH = "/new-movies" # this path varies; adjust as needed