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Recover what a page said on a given date
Created by
丂卩ㄖㄖҜㄚ
Give a URL and a date and get the closest capture to it, with the page text as it stood. The forensics use case keeps the full capture detail.
Wayback Machine Scraperspookyweb/wayback-machine-scraper
Captured
Original URL
HTTP
Type
+3 fieldsTextNumberBooleanListObject
Input
URL:https://www.nytimes.com/
Earliest capture:2024
What to match:exact
How many captures to keep:none
Maximum snapshots per URL:5
Detect changes between captures:false
Retrieve the archived page:true
Output fields
Captured
Original URL
HTTP
Type
Content
Text chars
Snapshot
Sign up on Apify01
Create your Apify account to access the Wayback Machine Scraper.
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.
