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Public example — Semantic Landmark Evidence Auditor
Created by
Michael Olmos
Run a one-page public semantic landmark accessibility audit with normalized evidence.
Semantic Landmark Evidence Auditorgifted_wagon/semantic-landmark-evidence-auditor
Status
Requested url
Final url
Http status
+8 fieldsTextNumberBooleanListObject
Input
Public pages(required):https://www.w3.org/WAI/demos/bad/before/home.html
Maximum pages:1
Timeout per request:20
Output fields
Status
Requested url
Final url
Http status
Grade
Score
Summary
Landmarks
Findings
Redirects
Checked at
Error
Sign up on Apify01
Create your Apify account to access the Semantic Landmark Evidence Auditor.
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.
