# ------------------------------------------------- # 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 …
# 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 wherever you are maya banks pdf download
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
# ------------------------------------------------- import json import time import urllib
def pretty_print(results: List[Dict]): if not results: print("❌ No legal PDF links found for that query.") return print(f"🔎 Found len(results) PDF link(s):\n") for i, r in enumerate(results, 1): print(f"i. r['title']") print(f" URL: r['url']") print(f" Snippet: r['snippet'][:120]...") print()
resp = requests.get(BING_ENDPOINT, headers=headers, params=params, timeout=10) resp.raise_for_status() data = resp.json() r in enumerate(results
return results