Check an expired domain's history before buying it

Created by

Jay Novello

Actor

Wayback Machine Scraper: Snapshots, Page Text & Domain History

One report per domain from the Wayback Machine: first and last capture, age, captures per year, gaps, the homepage title in each sampled year, redirects to other sites and parked or for-sale periods. Paste your list of candidate domains to vet them for SEO, expired-domain or due-diligence work. About 30 seconds and $0.006 per domain at 8 samples. No login.

Try for free

Wayback Machine Scraper: Snapshots, Page Text & Domain Historyvarnmill/wayback-machine-scraper

Domain

Summary

First seen

Last seen

+9 fields

Input

URLs or domains:parse.com

Homepage samples per domain:8

Count archived URLs up to:0

Output fields

Domain

Summary

First seen

Last seen

Age years

Homepage captures

Years with captures

Missing years

Redirect targets

Parked years

Last live title

Distinct titles

Captures per year

How it works

Sign up on Apify or log in

The Wayback Machine Scraper: Snapshots, Page Text & Domain History Actor is ready to run with the inputs already set for "Check an expired domain's history before buying it". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Check an expired domain's history before buying it" task

The Wayback Machine Scraper: Snapshots, Page Text & Domain History Actor will start running based on the input automatically. You can also change all the input fields, like URLs or domains, homepage samples per domain, and more, to match your specific use case.

Receive the "Check an expired domain's history before buying it" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as domain, summary, first seen, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Check an expired domain's history before buying it" task via API.