Turn a raw page user agent into structured details
Collect a user-agent string in a browser workflow and get a structured description for review.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
User Agent Parser API
Parses a user agent into device, operating system, browser, and bot details.
Why this helps
Raw user-agent strings are difficult to scan and compare when reviewing web activity.
- Parse a raw string into device, operating system, browser, and bot details.
- Make user-agent review easier to scan.
- Get results in a Notis run report.
Setup
Build it in a few focused steps.
- 1Connect Airtop and Big data cloud once in the Notis portal.
- 2Create an automation and describe which page user-agent string to collect and parse.
- 3Pick a Notis webhook trigger for the request that starts the run.
- 4Choose where run reports go.
- 5Test with one real page containing a user-agent string.
Questions about this workflow
What details does the parser return?
It parses a user-agent string into device, operating system, browser, and bot details.
Can this action identify an individual person?
The listed action parses technical user-agent details; it does not identify a person.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Airtop to Big data cloud. A trigger fires from one place; an action lands in another.
Airtop triggers
Big data cloud actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
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Connect any two apps with Notis in the middle.
Airtop and Big data cloud, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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