feat(parser): replacing tldextract with tld library

This might break the adaptive data users have for websites BUT:
1. tld uses ~3.7x less memory during extraction operations (1.5 MB vs 5.7 MB).
2. tld uses ~56% less memory on import (5.2 MB vs 11.9 MB).
3. Zero dependencies (vs 3 for tldextract).

In return, it's 30ms slower for extracting 5000 URLs, which is negligible. Also, the type hints aren't always accurate, but it's fine; I corrected them.

scrapling/cli.py

@@ -128,6 +128,9 @@ def install(force):  # pragma: no cover
             ],
             "Playwright dependencies",
         )
+        from tld.utils import update_tld_names
+
+        update_tld_names(fail_silently=True)
         # if no errors raised by the above commands, then we add the below file
         __PACKAGE_DIR__.joinpath(".scrapling_dependencies_installed").touch()
     else: