Domain Availability Checker
February 23, 2026
Python NLTK WHOIS Automation Data Mining
A Python tool that analyzes the NLTK words corpus, generates candidate domain names through word splitting, and checks availability across multiple TLDs via WHOIS.
How it works
- Load the NLTK words corpus
- Analyze each word for meaningful split points (syllable-aware, so splits stay pronounceable)
- Generate domain candidates from the resulting combinations
- Query WHOIS for each candidate across selected TLDs
- Categorize results: available, unavailable, error, pending
Why WHOIS querying needed care
Different WHOIS servers have different rate limits, response formats, and blocking behavior — hammer one too fast and you get IP-blocked mid-run. So:
- Configurable delay between requests (1s default)
- Exponential backoff when a server starts showing rate-limit signs
- Automatic failover across multiple WHOIS servers
- Persisted progress so a run of thousands of candidate domains can resume after an interruption instead of restarting
Filtering for quality
Not every word split makes a usable domain. Filtering considers:
- Pronounceability
- Reasonable length
- Valid domain character set
- Deduplication
- A blacklist for inappropriate combinations
Output
Results export as JSON, CSV, or a plain-text summary, plus detailed logs for debugging long runs.
What’s next
Registrar API integration for one-click registration, and a web UI instead of CLI-only operation.