A public daily feed of expired and dropped domain names for cyber analysts, threat intelligence teams, brand protection teams, and market researchers.
This repository publishes regularly updated domain lifecycle data to help researchers monitor domain churn, spot risky re-registration opportunities, study naming patterns, and analyze abandoned or recycled digital assets.
This repository provides a free, public dataset of domains that have either:
- Expired and entered a pending-delete or redemption-period state
- Dropped and are no longer held by the previous registrant
It is designed for analysts who need structured, machine-readable domain lifecycle data for monitoring, enrichment, and research workflows.
| Dataset | Description | Best For |
|---|---|---|
| Expired Domains | Domains that have expired, or entered an expiry-related lifecycle stage | Early monitoring, brand protection, churn analysis |
| Dropped Domains | Domains that have fully dropped and may become available again | Threat hunting, re-registration monitoring, availability analysis |
Our GitHub repository publishes 10,000 free expired and dropped domains every day. Please note that this is only a subset of our complete dataset. Our full WhoisFreaks Expired and Dropped Domains product contains nearly 400,000 domains on a daily basis, giving security teams much broader coverage for detection, enrichment, and automated blocking workflows.
👉 Explore the full product here: WhoisFreaks Expired and Dropped Domains
| Feature | Free GitHub Feed | Premium Subscription | Why Premium Is Better for Security Teams |
|---|---|---|---|
| Daily Domain Count | 10,000 domains/day | ~400,000 domains/day | Far broader coverage for threat hunting, phishing detection, enrichment, and blocklist generation |
| Update Frequency | Once a day | Once a day | Frequent refreshes improve visibility into emerging threats |
| Data Delay | 1-day delay | Same-day data | Lets analysts detect and respond to suspicious newly registered domains sooner |
| gTLD Coverage | Partial gTLD coverage | All gTLDs (1215+ gTLDs) | Premium gives much wider visibility across the global gTLD space |
| ccTLD Coverage | Not included | Included (372+ ccTLDs) | Critical for catching region-specific phishing, fraud, and brand abuse campaigns |
| Historical Access | Included | Included | Both plans support historical lookups and retrospective investigations |
| Support | Limited/self-serve | Priority support | Faster help for integrations, data access, and operational issues |
Domain lifecycle changes are strong signals for both security and market analysis.
| Use Case | Why It Matters |
|---|---|
| Phishing Monitoring | Dropped domains can be re-registered and repurposed for phishing, impersonation, or scam infrastructure |
| Typosquatting Detection | Expired and dropped domains may resemble brands, products, or internal assets |
| Threat Enrichment | Domain churn can support watchlists, scoring pipelines, and blocklist generation |
| Infrastructure Recycling Analysis | Lapsed domains may later be reused in malicious campaigns |
| Use Case | Why It Matters |
|---|---|
| Category Trend Analysis | Domain churn can reveal contraction or turnover in specific niches |
| Brand and Naming Research | Dropped domains help identify keyword demand, naming patterns, and saturation |
| Competitive Tracking | Lapsed domains may indicate shutdowns, portfolio cleanup, or rebranding |
| Geo and Sector Intelligence | Domain keywords can reveal regional and industry-specific activity shifts |
- Daily updated domain lifecycle data
- Separate expired and dropped domain feeds
- Publicly accessible and easy to consume
- Machine-readable format for automation
- Useful for security, OSINT, and market analysis
- Historical snapshots for trend comparison
| Dataset | Example Filename |
|---|---|
| Expired domains | 2026-03-02-free-expired-domains.csv |
| Dropped domains | 2026-03-02-free-dropped-domains.csv |
| Feed | Frequency |
|---|---|
| Expired domains | Daily |
| Dropped domains | Daily |
Each snapshot is published as a date-stamped file so analysts can compare changes over time.