Pinterest Trends
Pricing
from $1.00 / 1,000 results
Pinterest Trends
Collect Pinterest public featured trends, editorial trends, shopping categories, and trend time series by region.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
Crawler Bros
Maintained by CommunityActor stats
1
Bookmarked
2
Total users
1
Monthly active users
2 days ago
Last modified
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Collect public Pinterest trend topics, editorial stories, shopping categories, and shopping trend metrics. Use region and time-window inputs to receive values from Pinterest's public Trends data; the actor never invents search volume, forecasts, rankings, or private account analytics.
What this actor does
- Four public modes: featured topics, editorial stories, shopping categories, and shopping metrics.
- Regional results: supports the public
US,GB+IE, andCAchoices. - Time windows: requests published historical and forecast periods for shopping metrics.
- Rich trend context: includes public examples, related searches, category hierarchy, and time-series values when supplied.
- Truthful output: preserves published zeroes and
falsevalues and omits unavailable data.
Output per record
Every row includes sourceUrl and recordType. Depending on the selected mode, rows are trendFeatured, trendEditorial, shoppingCategory, or shoppingMetric.
Featured topic fields
trendId, name, description, region, isPublished, growthPercentMonth, interestIds, relatedSearches, examplePins, timeSeries, and sourceUrl.
Each examplePins item can contain pinId, pinUrl, imageUrl, width, height, color, and verticalOffset. Each timeSeries item can contain date, count, normalizedCount, normalizedPredictedLowerBound, and normalizedPredictedUpperBound.
Editorial story fields
trendId, title, body, trendType, region, regions, interestIds, keywordsByRegion, startDate, endDate, isPublished, isReadyForTranslation, examplePins, and sourceUrl.
Shopping category fields
categoryId, name, level, parentCategoryId, childCategoryIds, and sourceUrl.
Shopping metric fields
categoryId, name, region, event, dailyValues, growthRates, and sourceUrl.
Missing values are omitted. Pinterest-published zero counts, dates, and boolean false values are retained. Metric arrays and category names are copied from Pinterest and are not transformed into estimates.
Input
| Field | Type | Default | Description |
|---|---|---|---|
mode | choice | featured | featured, editorial, shoppingCategories, or shoppingMetrics. |
region | choice | US | Public Trends region: US, GB+IE, or CA. |
event | choice | OUTBOUND_CLICK | Shopping event currently exposed by Pinterest. |
categoryNames | array of text | — | Public shopping category names for metrics, such as Sofas. |
maxItems | integer | 50 | Maximum records to return. |
days | integer | 60 | Historical metric window, from 7 to 90 days. |
predictedDays | integer | 0 | Optional Pinterest forecast window, from 0 to 28 days. |
cookies / cookiesJson | array/string | — | Optional Cookie-Editor export; public Trends does not require it. |
proxyConfiguration | object | — | Optional Apify proxy configuration. |
Example: featured topics
{"mode": "featured","region": "US","maxItems": 25}
Example: editorial stories
{"mode": "editorial","region": "GB+IE","maxItems": 25}
Example: shopping taxonomy
{"mode": "shoppingCategories","maxItems": 1000}
Example: shopping history and forecast
{"mode": "shoppingMetrics","region": "US","categoryNames": ["Sofas", "Wedding dress"],"days": 60,"predictedDays": 14,"maxItems": 50}
Use cases
- Discover emerging public Pinterest topics by region.
- Build editorial trend calendars from Pinterest story content.
- Map Pinterest's public product-category hierarchy.
- Compare public shopping interest over a selected historical window.
- Feed real Pinterest examples and time series into planning or reporting workflows.
FAQ
Is this Pinterest Ads analytics?
No. It collects public Trends responses. Private business analytics, advertiser accounts, and exact private audience volumes are not promised.
Is growthPercentMonth a calculated estimate?
No. It is emitted only when Pinterest supplies the value for a featured topic.
Why are there fewer rows than maxItems?
The public Trends source may publish fewer topics, categories, or metric terms than the requested cap. The actor does not duplicate or invent rows.
Why did a forecast disappear?
Some region/category combinations publish history but no forecast. The actor returns real historical values and does not substitute a prediction.
Can I use another region?
Use the regions exposed by the actor input. The currently verified public choices are US, GB+IE, and CA.
Do category names need an exact match?
Names are matched against Pinterest's public category dictionary. If no requested name matches, the actor uses publicly returned categories when available.
Do I need cookies?
No. Public Trends data is collected without login cookies. Optional cookies can be supplied for a permitted session.
Can this actor return 10,000 rows?
The input supports a large cap and emits progressively, but verified public Trends modes currently contain far fewer categories/topics/terms. The actor returns the complete source-bounded result.
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