Pinterest Trends Scraper: Export Trending Pinterest Keywords

Pinterest Trends Scraper is an Apify Actor that extracts ranked Pinterest trending keywords, growth rates, seasonality scores, and optional weekly history. Export Pinterest Trends data to JSON, CSV, Excel, or through the Apify API. No Pinterest login, cookies, API key, or browser is required.

Use it for Pinterest keyword research, seasonal content planning, ecommerce product discovery, and market comparison across countries.

Quick facts

Item	Details
Data source	Public Pinterest Trends pages on trends.pinterest.com
Pinterest login	Not required
Output	JSON, CSV, Excel, and API access
History	Optional weekly series, 30 to 730 days
Pricing	$0.005 per saved trend row, about $5 per 1,000 rows

What does Pinterest Trends Scraper do?

The Actor queries Pinterest's public Trends data and writes one dataset row per keyword. You choose the countries, trend lists, interests, keyword filters, and date window. The Actor handles the requests, normalizes the response, and saves ranked rows.

• Scrape Pinterest trending searches before they peak.
• Compare growing, seasonal, monthly, and yearly trend lists.
• Find Pinterest keyword ideas for blogs, product pages, and ads.
• Filter by include or exclude keywords and compare countries.
• Add weekly history and export to CSV or Excel.

The Actor uses direct HTTP requests, not a headless browser.

What data can you extract?

Each row contains the term, rank, query settings, and every growth and seasonality value Pinterest returns. The All fields view exposes all 23 fields.

Field	Description
term	Trend keyword or phrase
rank	Pinterest result order, starting at 1
country	Country or region code
interest	Interest slug, or null when unfiltered
trendType	growing, seasonal, top_monthly, or top_yearly
endDate	Pinterest report date, YYYY-MM-DD
lookbackWindow	Growth window: 7D, 30D, 90D, 180D, or 365D
keywordsToInclude	Include filters, as an array
keywordsToExclude	Exclude filters, as an array
normalizedCount	Pinterest relative index in this result set
searchCount	Pinterest relative search index
weeklyChangePct	Week-over-week growth, as a percentage
monthlyChangePct	Month-over-month growth, as a percentage
yearlyChangePct	Year-over-year growth, as a percentage
weeklyChangeRank	Pinterest rank index for weekly change
monthlyChangeRank	Pinterest rank index for monthly change
yearlyChangeRank	Pinterest rank index for yearly change
seasonalityScore	Seasonality score between 0 and 1
interestIds	Pinterest interest taxonomy IDs
history	Weekly {date, count, normalizedCount} points, or null
pinterestUrl	Pinterest search URL for the term
trendsUrl	Pinterest Trends detail URL
scrapedAt	ISO timestamp when the row was written

normalizedCount and searchCount are relative indexes, not absolute search volumes. Pinterest normalizes them against the largest term in the returned set, so the same term can change when you change the row limit or filters. Compare terms inside one run, not against external volume estimates.

Growth values are converted from Pinterest's raw ratios by multiplying by 100. No cap is applied. Pinterest shows values at or above 10,000% as 10,000%+, while the Actor keeps the underlying value, so a row can contain 10001 even when the dashboard shows 10,000%+.

Input options

Only countries and trendTypes are required. Defaults suit a quick first run.

Input	What it controls
countries	Codes such as US, CA, or GB+IE. Default: ["US"].
trendTypes	Trend lists to fetch. Default: ["growing"].
interests	Interest slugs, or empty for all 22 categories.
maxTermsPerQuery	Rows per country, trend, and interest. Range: 1 to 100. Default: 25.
lookbackWindow	7D, 30D, 90D, 180D, or 365D. Default: 30D.
keywordsToInclude	Only keep terms containing one of these keywords.
keywordsToExclude	Drop terms containing one of these keywords.
includeHistory	Add a weekly series to each row. Default: false.
historyDays	30, 90, 180, 365, or 730 days. Default: 90.
endDate	Report date in YYYY-MM-DD. Defaults to Pinterest's latest date.
maxConcurrency	Parallel queries, 1 to 5. Default: 2.
maxRequestRetries	Retries for network errors, HTTP 408, 429, and 5xx. Default: 2.
proxyConfiguration	Optional Apify Proxy. Disabled by default.

Supported interests include animals, architecture, art, beauty, design, diy_and_crafts, education, electronics, entertainment, event_planning, fashion, finance, food_and_drink, health, home_decor, lawn_and_garden, parenting, quotes, sports, travel, vehicles, and weddings.

Example Pinterest Trends output

This row came from a US growing query on 27 October 2026. Pinterest's latest report date was 24 October 2026.

{
  "term": "top gunner outfit halloween",
  "rank": 1,
  "country": "US",
  "interest": null,
  "trendType": "growing",
  "endDate": "2026-10-24",
  "lookbackWindow": "30D",
  "keywordsToInclude": [],
  "keywordsToExclude": [],
  "normalizedCount": 100,
  "searchCount": 100,
  "weeklyChangePct": 30,
  "monthlyChangePct": 10001,
  "yearlyChangePct": 10001,
  "weeklyChangeRank": 1,
  "monthlyChangeRank": 5,
  "yearlyChangeRank": 5,
  "seasonalityScore": 0.31697708,
  "interestIds": [],
  "history": null,
  "pinterestUrl": "https://www.pinterest.com/search/pins/?q=top%20gunner%20outfit%20halloween",
  "trendsUrl": "https://trends.pinterest.com/detail/?country=US&terms=top%20gunner%20outfit%20halloween",
  "scrapedAt": "2026-10-27T13:41:40.255Z"
}

With includeHistory enabled, the same term returned weekly points including 2026-10-17: 79 and 2026-10-24: 100. If Pinterest has no series for a term, history stays null and the row is still returned.

How much does Pinterest Trends Scraper cost?

The Actor is designed for pay-per-event pricing at $0.005 per trend row saved, about $5 per 1,000 rows. Only saved rows are charged. Terms removed by filters and failed requests are not. History is included in the row price, so it does not add a second per-row charge. The live Pricing tab is authoritative for the current price and plan discounts.

How to use Pinterest Trends Scraper

1. Open the Actor in Apify Console.
2. Choose countries and trend types, such as US and growing.
3. Optionally select interests and add keyword filters.
4. Set the maximum rows per query. Start with 25 for a quick test.
5. Enable weekly history if you need a time series.
6. Run the Actor, open the dataset, and export to CSV, Excel, or JSON.

For a first run, use one country, one trend type, no keyword filters, and 25 rows.

Pinterest keyword research use cases

• Content calendars: Find seasonal searches before the peak and plan pins, posts, and landing pages. Use seasonalityScore and yearly change to separate evergreen topics from short spikes.
• Ecommerce research: Spot product styles, gift themes, and seasonal demand. Filter with keywordsToInclude, then compare countries.
• Pinterest ads: Build keyword lists from real search trends. Weekly change shows momentum, while yearly change helps avoid mistaking a seasonal spike for durable demand.
• SEO research: Pinterest is a visual search engine. These terms add demand signals that may not appear in traditional keyword tools.

Output, API, and automation

The Actor writes to the default Apify dataset, available in the Output tab and through the Apify API. Download JSON, CSV, Excel, or HTML, read items with the Apify JavaScript or Python client, or connect it to Google Sheets, Make, Zapier, n8n, or your own service. You can schedule runs, trigger webhooks, or use the Apify MCP server.

The Overview view shows core ranking and growth columns. The All fields view shows all 23 fields.

Limitations

• Uses public Pinterest Trends data, not Pinterest's access-controlled official Trends API.
• Counts are relative indexes, not absolute search volumes.
• Pinterest can change its public endpoints or fields at any time.
• Some countries, interests, or trend types return fewer rows than requested.
• Weekly history depends on Pinterest having data for the term and range.
• Does not collect pins, boards, creators, profiles, demographics, or related searches.
• A run with zero matching rows is a valid empty result.

FAQ

Is this the official Pinterest Trends API?

No. This Actor reads public data used by the Pinterest Trends website. It is not affiliated with, endorsed by, or supported by Pinterest.

Do I need a Pinterest account or cookies?

No. The Actor does not require a Pinterest login, cookies, browser session, or API key.

Can I export Pinterest Trends to CSV or Excel?

Yes. Datasets can be downloaded as CSV, Excel, JSON, or HTML, and the same data is available through the Apify API.

How many Pinterest trends can I get per run?

Up to 100 rows for each country, trend type, and interest combination. Pinterest may return fewer rows when a filter is narrow or data is unavailable.

Why is a growth value higher than 10,000%?

The Actor preserves Pinterest's raw ratio and converts it to a percentage. Pinterest caps the display at 10,000%+, so the dataset can contain a larger value.

Can I get weekly Pinterest trend history?

Yes. Enable includeHistory and choose 30 to 730 days. Each row includes dated weekly points when Pinterest provides them.

Can I run this Actor on a schedule?

Yes. Use Apify schedules to run daily, weekly, or monthly.

Does this Actor scrape Pinterest pins or boards?

No. It focuses on Pinterest Trends keyword data and does not collect pins, boards, creators, profiles, or pin engagement.

Data source and responsible use

The Actor reads publicly available trend data from Pinterest's Trends website. Pinterest is named only to identify the data source. This Actor is not affiliated with or endorsed by Pinterest.

You are responsible for using the data in line with Pinterest's terms, privacy laws, and your own policies. Do not use the output for spam, harassment, or unlawful profiling.