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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

# 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 wherever you are maya banks pdf download

results.append( "title": item.get("name"), "url": url, "snippet": item.get("snippet") ) pip install requests beautifulsoup4 You’ll also need an

results = [] for item in data.get("webPages", {}).get("value", []): url = item.get("url") # Quick sanity checks if not url or not url.lower().endswith(".pdf"): continue import json import time import urllib

# ------------------------------------------------- # CONFIGURATION # ------------------------------------------------- BING_API_KEY = "YOUR_BING_API_KEY" # <-- replace with your key BING_ENDPOINT = "https://api.bing.microsoft.com/v7.0/search" USER_AGENT = "Mozilla/5.0 (compatible; PDFFinder/1.0; +https://example.com/bot)" # Domains we *know* are safe/legal for PDF downloads (extend as needed) SAFE_DOMAINS = "openlibrary.org", "archive.org", "scholar.googleusercontent.com", "journals.aps.org", "arxiv.org", "researchgate.net", # add more …

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"