Check historical keyword demand from a Notion update
Keep demand checks attached to the planning work: when your Notion keyword plan changes, ask Notis to retrieve Junglescout search-volume history.
Trigger
Page Content Updated
Triggers when the body content of a Notion page is updated. Customer optionally scopes with at most one of: - data_source_id: any row in this data source - page_id: this specific page - parent_page_id: any page whose immediate parent is this page With none set, fires for any page content edit in the workspace the integration has access to. Notion aggregates content edits within a short window (~60s typical).
Action
Retrieve historical search volume data for a keyword
Fetches the historical search volume data for a specified keyword over a given time period.
Why this helps
Checking how demand has shifted often gets postponed when the plan and the research tool live in separate places.
- Connect planning edits to historical demand research.
- See how interest has moved over a chosen period.
- Keep the result tied to the keyword decision that prompted it.
Setup
Build it in a few focused steps.
- 1Connect Notion and Junglescout to Notis once through the portal.
- 2Create the automation in the portal or tell Notis the research outcome you want.
- 3Write one plain-language instruction asking Notis to read the tracked keyword and time period from the page and retrieve historical Junglescout search volume.
- 4Choose Page Content Updated for the keyword-plan page, select a channel for reports, and test with one real edit.
Questions about this workflow
Can the workflow cover multiple keywords?
The chosen action retrieves historical search-volume data for a specified keyword. Describe the intended keyword in the prompt and test the result.
Does every small edit need to create a useful report?
The prompt can ask Notis to proceed only when an edit contains a clear keyword and time period.
When this happens · Trigger
Do this · Action
Supported Triggers and Actions
Notis builds workflows that link Notion to Junglescout. A trigger fires from one place; an action lands in another.
Notion triggers
Junglescout actions
Recurring trigger
Notis starts this workflow on a schedule, such as daily, weekly, or during business hours.
Retrieve historical search volume data for a keyword
Fetches the historical search volume data for a specified keyword over a given time period.
Webhook trigger
Notis starts this workflow when an external tool or custom backend sends an HTTP request.
Query the product database
Queries the jungle scout product database to retrieve product data based on various filters. compatible parameters include marketplace, sort, page size, product tiers, seller types, categories, exclude top brands, exclude unavailable products, min price, max price, min net, max net, min rank, max rank, min sales, max sales, min revenue, max revenue, min reviews, max reviews, min rating, max rating, min weight, max weight, min sellers, max sellers, min lqs, max lqs, min updated at, and max updated at.
All Page Events
Triggers when any Notion page is created or updated across the workspace.
Retrieve data for a specific keyword query
Returns data based on a specific keyword query, including search volume and competition.
Comment Created
Triggers when a new comment is created in Notion. Optional `page_id` filter scopes to comments on a specific page. When omitted, fires for any new comment in the workspace the integration has access to. Requires the 'Read comments' capability on the Notion integration. If a connection was authorized before that capability was enabled, the user must re-authorize the connection for comment events to flow.
Retrieve keyword data for specified asins
Returns keywords for which the queried asin(s) appear in amazon search results. for a given keyword, jungle scout collects up to 3 pages of amazon keyword search results. query up to 10 asins at a time. apply filters to narrow search results.
New Comment
Triggers when a new comment is added to a specified Notion block or page.
Retrieve sales estimates data
Fetches sales estimates data for specified parameters.
Database Created
Triggers when a new Notion database (the container) is created. A database is the post-2025-09-03 container that holds one or more data sources. This trigger fires for the container's creation event (`database.created`), distinct from `NOTION_DATASOURCE_CREATED` which fires when a new data source is added to an existing database. Most customers calling Notion's `POST /v1/databases` (the legacy API) or creating a database via the Notion UI will see this event. Adding a new data source to an existing database fires `data_source.created` instead — use `NOTION_DATASOURCE_CREATED` for that. Notion's payload puts `entity.type: "block"` (the container is a `child_database` block in the content tree) and `entity.id` is the database id.
Retrieve share of voice data
Fetches share of voice data for specified keywords.
Data Source Created
Triggers when a new Notion data source is created. Fires workspace-wide. The payload's `data.parent` carries the data source's tree parent (typically the teamspace) for downstream filtering. A single template-based database creation can fire multiple `data_source.created` events at once — one per data source the template instantiates.
Data Source Schema Updated
Triggers when a Notion data source's schema is updated. Fires on column add / remove / rename. Payload includes `data.updated_properties: [{id, name, action}]` so consumers can discriminate the kind of change downstream. Optional `data_source_id` filter scopes to schema changes on a single data source. When omitted, fires for any schema change in the workspace the integration has access to. Note: adding a column also fires `page.properties_updated` once per existing row in the data source. Customers wanting a single structural-change signal should use this trigger.
Connect any two apps with Notis in the middle.
Notion and Junglescout, or any other combination from 1,000+ integrations.
When this happens · Trigger
Do this · Action
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