Research reader feedback while it is still fresh
Send a reader-raised topic to Notis and search for public context before deciding what to do with it.
Trigger
Webhook received
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Action
Search
Tool to perform unified search across 40+ search engines including Google, Bing, Yahoo, DuckDuckGo, YouTube, Amazon, and more. Use when you need to retrieve search results with rich structured data including organic results, ads, knowledge graphs, local listings, images, videos, and related searches. Supports advanced filtering by location, language, date, device type, and SafeSearch settings.
Why this helps
Feedback can be acknowledged and then forgotten when researching it requires a separate, unscheduled task.
- Give reader-raised topics a research step
- Reduce the chance that useful feedback gets lost
- Make editorial follow-up easier to evaluate
Setup
Build it in a few focused steps.
- 1Connect Beehiiv and Search api to Notis in the portal once.
- 2Create an automation prompt instructing Notis to search public coverage for topics passed from reader feedback.
- 3Choose an incoming webhook trigger and connect it to the feedback process you use.
- 4Select a run-report channel and test with one real reader-raised topic.
Questions about this workflow
Does this workflow process feedback inside Beehiiv automatically?
It starts when your feedback process sends Notis a webhook. Beehiiv has no trigger event in this workflow package.
Will it decide whether to write about the topic?
No. It gathers public search results to help you decide whether a follow-up is useful.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Beehiiv to Search api. A trigger fires from one place; an action lands in another.
Beehiiv triggers
Search api 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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Tool to retrieve cached search results by search ID in JSON format. Use when you need to access previously executed search results without re-running the query. The search ID is found in the search_metadata.id or search_metadata.json_url field from initial search responses. Cached results are available for 90 days.
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Search
Tool to perform unified search across 40+ search engines including Google, Bing, Yahoo, DuckDuckGo, YouTube, Amazon, and more. Use when you need to retrieve search results with rich structured data including organic results, ads, knowledge graphs, local listings, images, videos, and related searches. Supports advanced filtering by location, language, date, device type, and SafeSearch settings.
Connect any two apps with Notis in the middle.
Beehiiv and Search api, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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