Turn vehicle text into structured details
Make vehicle intake easier by extracting the fields your operations team needs.
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 details arrive in inconsistent formats and require repetitive manual parsing.
- Reduce manual data entry
- Improve fleet and claims records
- Surface missing vehicle fields
Setup
Build it in a few focused steps.
- 1Connect 0CodeKit and Dadata ru in Notis once.
- 2Create an automation that parses each incoming vehicle description and returns structured fields plus missing data.
- 3Choose the webhook trigger.
- 4Choose where reports should go.
- 5Test with one real vehicle description.
Questions about this workflow
What fields can it extract?
Ask for brand, model, year, VIN, and other identifiers present in the source text.
What if the text is incomplete?
Notis can list missing fields for follow-up instead of inventing them.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link 0CodeKit to Dadata ru. A trigger fires from one place; an action lands in another.
0CodeKit 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.
0CodeKit and Dadata ru, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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No card. Works with personal or business Dadata ru.