Pinterest trending topics scraper in n8n
Collect Pinterest's public featured and editorial trend topics, its shopping category taxonomy, and shopping-category click metrics with history and forecast, by region.
What this workflow does
Import it and n8n runs the Pinterest Trending Topics & Shopping Category Scraper Actor on Apify every day at 08:00 with the starter input below. Each row comes back with term, title, name, region and 5 more. A Google Sheets append is included and stays off until you add your sheet. The only credential it needs is your Apify API token.
Read from the workflow file, built for Pinterest Trending Topics & Shopping Category Scraper version 1.1.1. Updated 2026-11-14.How the rows travel
6 nodes, in the order n8n runs them. The yellow stop is the call to the Apify Actor; the dashed stop is optional.
- Daily trigger Schedule trigger
- Configure input Code
- Run Apify Actor HTTP Request
- Normalize + dedupe Code
- Rows ready No operation
- Google Sheets (optional) Google Sheets, off until you switch it on
From the Short
This workflow is the one the video points to: the number in each video opens this page.
Input
The Configure input node holds the starter input. Change it there; every setting the Actor accepts is listed below.
{
"maxItems": 25,
"mode": "trendingSearches"
}| Setting | Type | Required | Default | What it does |
|---|---|---|---|---|
| mode | string | Yes | trendingSearches | Choose a Pinterest Trends dataset. 9 choices. |
| region | string | No | US | Pinterest Trends market. Combined codes such as GB+IE cover Pinterest's published regional groups. 26 choices. |
| trendType | string | No | topMonthly | Trending list to collect (mode=trendingSearches). One of: topMonthly, topYearly, growing, seasonal. |
| lookbackWindow | string | No | 30D | Comparison window used by Pinterest for trending searches (mode=trendingSearches). One of: 7D, 30D, 90D, 180D, 365D. |
| endDate | string | No | – | Historical end date in YYYY-MM-DD format. Leave empty for Pinterest's latest available date (mode=trendingSearches, keywordResearch, shoppingCategories, shoppingMetrics). |
| interest | string | No | all | Pinterest interest filter for trending searches (mode=trendingSearches). 25 choices. |
| moment | string | No | all | Pinterest seasonal moment filter for trending searches (mode=trendingSearches). 14 choices. |
| keywordsToInclude | array | No | – | Only keep trending searches containing at least one of these words (mode=trendingSearches). |
| keywordsToExclude | array | No | – | Drop trending searches containing any of these words (mode=trendingSearches). |
| ageGroup | string | No | all | Pinterest audience age filter for trending searches and keyword research. 10 choices. |
| gender | string | No | all | Pinterest audience gender filter for trending searches and keyword research. One of: all, female, male, unspecified. |
| keywords | array | No | – | Terms to research (mode=keywordResearch). Leave empty to use Pinterest's current top trending searches. |
| days | integer | No | 90 | History length in days for keyword research and shopping metrics. |
| predictedDays | integer | No | 0 | Pinterest forecast horizon. Forecasts are published for the US only (mode=keywordResearch, shoppingMetrics). |
| includeRelated | boolean | No | false | Add Pinterest's related terms and their weekly history for each keyword (mode=keywordResearch). |
| includeAudience | boolean | No | false | Add age and gender distributions for each keyword (mode=keywordResearch). |
| includeImages | boolean | No | false | Add a representative Pinterest image for each keyword (mode=keywordResearch). |
| includeSuggestions | boolean | No | false | Add Pinterest search suggestions for each keyword (mode=keywordResearch). |
| shoppingEvent | string | No | OUTBOUND_CLICK | Pinterest shopping signal used for category metrics and ranked shopping trends. One of: OUTBOUND_CLICK, SAVE. |
| includeTopCategories | boolean | No | false | Add Pinterest's fastest-growing shopping categories with related searches (mode=shoppingCategories). |
| categoryNames | array | No | – | Exact Pinterest shopping category names for metrics, such as Sofas or Wedding dress (mode=shoppingMetrics). Leave empty to use Pinterest's featured level-2 categories. |
| maxItems | integer | No | 100 | Maximum records to return. Trending lists are partitioned by interest to go beyond Pinterest's 100-term list ceiling. |
What each row holds
Every field the Actor returns stays in the row (9 in its dataset schema). Normalize + dedupe trims text, drops empty fields and adds _source and _scrapedAt. The main fields:
| Field | What it is |
|---|---|
| term | Term |
| title | Title |
| name | Name |
| region | Region |
| trendType | Trend Type |
| rank | Rank |
| weekOverWeekChange | Week Over Week Change |
What the first run costs
With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage.
The Actor lists $0.99 per 1,000 results; its catalogue page breaks the price down by Apify plan. The Apify Free plan includes $5 of usage a month.
The Actor behind it
Pinterest Trending Topics & Shopping Category Scraper: Collect Pinterest's public featured and editorial trend topics, its shopping category taxonomy, and shopping-category click metrics with history and forecast, by region.
The same job from an AI agent
The matching agent skill gives Claude Code, Codex, Cursor and other agents the same Actor, input and fields. Install it in one line:
npx skills add https://scraperfinder.com --skill pinterest-trending-topics-and-shopping-category-scraper The pinterest trending topics scraper skill, with manual install and run steps
Questions people ask
How do I import this workflow into n8n?
Copy https://scraperfinder.com/n8n/pinterest-trending-topics-and-shopping-category-scraper.json. In n8n, open a new workflow, click the three-dot menu, choose Import from URL and paste it. Or download the JSON file and use Import from File; both give the same 6 nodes.
Do I need an Apify account?
Yes. The workflow calls the Pinterest Trending Topics & Shopping Category Scraper Actor through the Apify API with your own token, and each run is billed to your Apify account. The Free plan includes $5 of usage a month.
What does a run cost?
With the starter input (maxItems = 25) a first run costs about $0.42 on the Apify Free plan: $0.40 to start the run at 4 GB of memory and $0.02 for the results, plus platform usage. The Actor's Store page shows the current price.
Can I change what it collects?
Yes: edit the input object in the Configure input node. The Actor takes 22 settings; the table on this page lists each one with its default. Raise maxItems once the first rows look right.
Does it work without Google Sheets?
Yes. The rows wait in the Rows ready node, so you can connect any other node there: a database, Airtable, a webhook or an email. The Google Sheets node is only one option.
Workflow updated 2026-11-14