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def is_allowed_by_robots(url: str) -> bool: """Respect robots.txt for the host of `url`.""" try: parsed = requests.utils.urlparse(url) base = f"parsed.scheme://parsed.netloc" rp = robotparser.RobotFileParser() rp.set_url(f"base/robots.txt") rp.read() return rp.can_fetch(USER_AGENT, url) except Exception: # If we can’t fetch robots.txt, be conservative and disallow return False

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"

results.append( "title": item.get("name"), "url": url, "snippet": item.get("snippet") ) wherever you are maya banks pdf download

# 1️⃣ Domain whitelist check domain = urllib.parse.urlparse(url).netloc.lower() if not any(domain.endswith(d) for d in SAFE_DOMAINS): continue

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 The example uses (Azure Cognitive Services) because it’s

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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 def is_allowed_by_robots(url: str) -&gt

# Be nice to the server – tiny pause time.sleep(0.1)