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Home > da-unaloda stainda apa rahula -2022- hindi FilmyFly Filmy4wap Filmywap > da-unaloda stainda apa rahula -2022- hindi FilmyFly Filmy4wap Filmywap

Da-unaloda Stainda Apa Rahula -2022- Hindi Filmyfly Filmy4wap Filmywap -

# Example meta: "2022 Hindi 1080p" meta = c.select_one("span.meta") year, language, quality = None, None, None if meta: txt = meta.get_text() m_year = re.search(r"\b(20\d2)\b", txt) year = m_year.group(1) if m_year else None language = "Hindi" if "hindi" in txt.lower() else None qual_match = re.search(r"\b(720p|1080p|4k)\b", txt, re.I) quality = qual_match.group(0) if qual_match else None

@staticmethod def _get(url: str) -> requests.Response: """GET with a tiny retry loop.""" for _ in range(3): try: r = requests.get(url, headers=BaseScraper.HEADERS, timeout=12) r.raise_for_status() return r except requests.RequestException: continue raise RuntimeError(f"Failed to fetch url") # Example meta: "2022 Hindi 1080p" meta = c

@classmethod def search(cls, query: str) -> List[Dict[str, Any]]: url = cls.SEARCH_URL.format(query=query.replace(" ", "+")) soup = BeautifulSoup(cls._get(url).text, "html.parser") cards = soup.select("div.result-item") results = [] for c in cards: a = c.select_one("a.title") if not a: continue title = a.get_text(strip=True) href = cls._clean_link(a["href"]) quality = None

class FilmyFlyScraper(BaseScraper): SEARCH_URL = "https://www.filmyfly.in/search/query" query: str) -&gt

# Year & language are usually in a <p> like "2022 | Hindi | 720p" meta = c.select_one("p.movie-meta") year, language, quality = None, None, None if meta: parts = [p.strip() for p in meta.get_text(separator="|").split("|")] for p in parts: if re.fullmatch(r"\d4", p): year = p elif p.lower() in "hindi", "english", "telugu", "marathi": language = p else: quality = p

# ---------------------------------------------------------------------- # 1️⃣ Helper – normalise user query # ---------------------------------------------------------------------- def normalize(text: str) -> str: """Lower‑case, strip accents, collapse whitespace, remove punctuation.""" text = unicodedata.normalize("NFKD", text) text = text.encode("ascii", "ignore").decode() text = re.sub(r"[^\w\s-]", "", text) # keep hyphens (some titles use them) text = re.sub(r"\s+", " ", text).strip() return text.lower()

import re import json import unicodedata from typing import List, Dict, Any import requests from bs4 import BeautifulSoup from rapidfuzz import fuzz, process

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