Python Docs Historical URL Recovery Export
Created by
Stas Persiianenko
Build a historical Python documentation URL inventory for migration and recovery workflows with capture dates, digests, sizes, statuses, and replay links.
Wayback Machine Snapshot History Scraperautomation-lab/wayback-machine-snapshot-history-scraper
Capture date
Original URL
HTTP status
MIME type
+5 fieldsTextNumberBooleanListObject
Input
Domains, URLs, or URL patterns(required):https://docs.python.org/3/
Match type:prefix
HTTP status filters:2..
MIME type filters:text/html
Collapse identical content:true
Maximum captures:1000
Output fields
Capture date
Original URL
HTTP status
MIME type
Digest
Byte length
Replay URL
Source query
Fetched at
Sign up on Apify01
Create your Apify account to access the Wayback Machine Snapshot History 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.
