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"
# Be nice to the server – tiny pause time.sleep(0.1)
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
return results
# -------------------------------------------------
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"
# Be nice to the server – tiny pause time.sleep(0.1) 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 def search_pdfs(query: str, max_results: int = 20) ->
return results
# ------------------------------------------------- def search_pdfs(query: str