I have looked through the documentation for `concurrent.futures`, and there is another option. You can use `Executor.map` (https://docs.python.org/3/library/concurrent.futures.html#co...). It eliminates the need to wait on the futures explicitly.

  def main():
      with ThreadPoolExecutor(max_workers=len(URLs)) as executor:
          for url, title in zip(URLs, executor.map(fetch_url, URLs)):
              print(f"URL: {url}\nTitle: {title}")

The default value of `max_workers` since Python 3.8 has been

  min(32, os.cpu_count() + 4)

It seems like you should avoid

  max_workers=len(items_to_process)

It won't save resources with smaller collections of items (workers are created when needed) and may waste resources with larger.