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# 3️⃣ Optional: fetch a tiny HEAD request to confirm content‑type try: head = requests.head(url, allow_redirects=True, timeout=5, headers="User-Agent": USER_AGENT) if head.headers.get("Content-Type", "").lower() != "application/pdf": continue except Exception: continue # Skip if HEAD fails

pip install requests beautifulsoup4 You’ll also need an API key for a search provider. The example uses (Azure Cognitive Services) because it’s straightforward and returns a clean JSON payload. Replace YOUR_BING_API_KEY with your real key. import json import time import urllib.robotparser as robotparser from typing import List, Dict import requests from bs4 import BeautifulSoup wherever you are maya banks pdf download

resp = requests.get(BING_ENDPOINT, headers=headers, params=params, timeout=10) resp.raise_for_status() data = resp.json() # 3️⃣ Optional: fetch a tiny HEAD request

def search_pdfs(query: str, max_results: int = 20) -> List[Dict]: """ Search the web for PDF URLs related to `query` using Bing Search API. Returns a list of dicts: title, url, snippet. """ headers = "Ocp-Apim-Subscription-Key": BING_API_KEY params = "q": query + " filetype:pdf", "count": max_results, "responseFilter": "Webpages", "textDecorations": False, "textFormat": "Raw" import json import time import urllib