Parse vehicle data from webhooks
Turn messy vehicle descriptions into structured information for the next step.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Clean Vehicle
Tool to standardize and parse vehicle data fields. use after obtaining raw vehicle info to extract brand, model, year, vin, and other identifiers.
Why this helps
Vehicle submissions often combine make, model, year, and VIN in unpredictable formats.
- Extract key vehicle fields
- Standardize submissions
- Spot missing identifiers
Setup
Build it in a few focused steps.
- 1Connect Dadata ru in Notis.
- 2Create an automation named Parse webhook vehicle data.
- 3Tell Notis to parse and standardize every vehicle description in the webhook payload.
- 4Choose a webhook trigger and report channel.
- 5Test with one real vehicle submission.
Questions about this workflow
Which fields can be returned?
Results may include brand, model, year, VIN, and other supported identifiers.
Can it handle free text?
Yes. Provide the raw vehicle description and ask Notis to parse it.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Google Slides to Dadata ru. A trigger fires from one place; an action lands in another.
Google Slides triggers
Dadata ru actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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Connect any two apps with Notis in the middle.
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When this happens · Trigger
Do this · Action
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No card. Works with personal or business Dadata ru.