Wayback Cdx Scraper sample
Created by
Ben
Sample use-case Task for wayback-cdx-scraper: bounded defaults, real output, export JSON/CSV on Apify.
Wayback CDX Scraper - Archived URL and Snapshot Databenthepythondev/wayback-cdx-scraper
Timestamp
Capture At
Original Url
Archived Url
+4 fieldsTextNumberBooleanListObject
Input
URL or wildcard:apify.com/*
From date:20250101
Collapse duplicate content:true
Max snapshots:3
Output fields
Timestamp
Capture At
Original Url
Archived Url
Status Code
Mime Type
Digest
Content Length
Sign up on Apify01
Create your Apify account to access the Wayback CDX Scraper - Archived URL and Snapshot Data.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
