Apply dataset filters directly from WhatsApp
Keep filtering decisions in context. Notis can turn a chat instruction into a Bright Data filtered snapshot.
Trigger
New WhatsApp Message Received
Polling trigger that monitors for new messages received in TimelinesAI WhatsApp chats.
Action
Filter Dataset
Tool to apply custom filter criteria to a marketplace dataset (beta). use after selecting a dataset to generate a filtered snapshot.
Why this helps
Filtering criteria gets lost between chat, spreadsheets, and scraping dashboards.
- Preserve filtering intent
- Create focused snapshots faster
- Cut repetitive dashboard work
Setup
Build it in a few focused steps.
- 1Connect TimelinesAI and Bright Data in Notis once.
- 2Create an automation that applies the stated criteria to the referenced Bright Data dataset.
- 3Pick the New WhatsApp Message Received trigger.
- 4Choose report delivery and test with one real dataset filter request.
Questions about this workflow
What must be supplied for filtering?
The message should identify the dataset and describe the criteria to apply.
What is produced?
Bright Data generates a filtered snapshot that Notis can report back.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Timelinesai to Brightdata. A trigger fires from one place; an action lands in another.
Timelinesai triggers
Brightdata actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
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New WhatsApp Message Received
Polling trigger that monitors for new messages received in TimelinesAI WhatsApp chats.
Filter Dataset
Tool to apply custom filter criteria to a marketplace dataset (beta). use after selecting a dataset to generate a filtered snapshot.
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Connect any two apps with Notis in the middle.
Timelinesai and Brightdata, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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