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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
resp = requests.get(BING_ENDPOINT, headers=headers, params=params, timeout=10) resp.raise_for_status() data = resp.json() wherever you are maya banks pdf download
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() # 3️⃣ Optional: fetch a tiny HEAD request
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 Replace YOUR_BING_API_KEY with your real key
# 2️⃣ robots.txt compliance if not is_allowed_by_robots(url): continue
# ------------------------------------------------- # 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 …
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
