# 2️⃣ robots.txt compliance if not is_allowed_by_robots(url): continue
# 1️⃣ Domain whitelist check domain = urllib.parse.urlparse(url).netloc.lower() if not any(domain.endswith(d) for d in SAFE_DOMAINS): continue wherever you are maya banks pdf download
results.append( "title": item.get("name"), "url": url, "snippet": item.get("snippet") ) # 2️⃣ robots
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 import json import time import urllib
# Be nice to the server – tiny pause time.sleep(0.1)
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"
# 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