polars-domain-lookup 0.2.0

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Polars Domain Lookup Plugin

This plugin extends the functionality of Polars by providing a method to check whether domains are included in a predefined list of the top 1,000,000 domains. The result is returned as a boolean value (True/False).

Features

• Domain Lookup: Checks if the provided domains are included in a list of the top 1,000,000 domains.
• Integration with Polars: Works seamlessly with Polars DataFrames, offering fast processing.

Requirements

• Python 3.8+
• Polars library

Install Polars with:

uv add polars

• Top 1 Million Domains List: The domain list must be provided as a file (e.g., cloudflare-radar_top-1000000-domains.csv) in CSV format. This file can be downloaded from sources like Cloudflare Radar.

Installation

Add the plugin to your project. Install it directly from the repository or manually include the Python file.

uv add polars-domain-lookup

Usage

Example Code

import polars as pl
from polars_domain_lookup import is_common_domain

# Example DataFrame with domains
df = pl.DataFrame({
    "domains": ["example.com", "google.com", "nonexistentdomain.xyz"]
})

# Load the top 1,000,000 domains list
top_domains_path = "cloudflare-radar_top-1000000-domains.csv"

# Perform the lookup
df = df.with_columns(
    is_common_domain(df["domains"]).alias("is_top_domain")
)

print(df)

Output

If cloudflare-radar_top-1000000-domains.csv contains google.com, the output will look like this:

shape: (3, 2)
┌───────────────────────┬───────────────┐
│ domains               │ is_top_domain │
├───────────────────────┼───────────────┤
│ example.com           │ false         │
│ google.com            │ true          │
│ nonexistentdomain.xyz │ false         │
└───────────────────────┴───────────────┘