Pinterest Trends

What does Pinterest Trends Scraper do?

Pinterest Trends Scraper is a Pinterest keyword research tool that extracts trending search terms from Pinterest Trends and exports them as JSON, CSV or Excel. It is the only Pinterest trends scraper that lets you filter by country, interest category and seasonal event at the same time — so you can ask precise questions like "What beauty keywords are trending for Halloween in the US?" or "What food trends are growing for Christmas in Germany?"

Every trending keyword comes back with its search volume index, week-over-week, month-over-month and year-over-year growth, a seasonality score, and optionally the age and gender breakdown of the audience searching for it.

Pinterest gives you no public Trends API — the official trends endpoints require an approved Pinterest business account, and the trends.pinterest.com dashboard has no export button. This Actor is the Pinterest Trends API alternative: run it on demand or on a schedule, pull results straight into Google Sheets, Zapier, Make or your own code via the Apify API, with proxy rotation, retries and monitoring handled for you.

Why use Pinterest Trends Scraper?

Pinterest is a planning platform. People search there weeks or months before they buy — Halloween costume searches start in August, Christmas decor in October. That makes Pinterest trend data one of the earliest consumer demand signals you can get, well ahead of Google Trends or Amazon best-seller rank.

• Seasonal product planning — see exactly what people want for an event before it peaks, and stock, design or manufacture accordingly.
• Pinterest SEO and content calendars — build keyword lists per interest category with real growth rates instead of guesswork.
• Pinterest Ads targeting — find rising keywords in your niche while the bids on them are still cheap.
• E-commerce, Etsy and print-on-demand — spot emerging product styles ("witchy nails", "coraline nails") while they are still climbing.
• Dropshipping product research — validate a product idea against real, rising search demand across 40+ markets.
• International market research — compare the same event across countries and see how demand differs market by market.
• Trend monitoring — schedule a weekly run and track how your keyword set moves over time.

How to scrape Pinterest Trends data: step-by-step

1. Click Try for free to open the Actor in Apify Console. No credit card, no Pinterest login, no API key.
2. Pick your Country from the dropdown.
3. Optionally choose one or more Interests (Beauty, Food & Drinks, Home Decor …) and Events (Halloween, Black Friday, Ramadan …). Leave either empty to skip that filter.
4. Choose a Trend type — Top monthly for established leaders, Growing for what is climbing fastest, Seasonal for what is peaking right now.
5. Click Start. Most runs finish in under a minute.
6. Open the Output tab and download your results as JSON, CSV, Excel or HTML — or grab them from the Apify API.

Every other field has a sensible default, so steps 2 and 5 alone will get you real data.

Input

Configure everything on the Input tab in Apify Console. The table below is the same schema in JSON form.

Field	Type	Default	Description
country	string	US	Market to pull trends for.
interests	array	[]	Interest categories to filter by. Empty means all interests.
events	array	[]	Seasonal events to filter by. Empty means no event filter.
trendType	string	TOP_MONTHLY	TOP_MONTHLY, TOP_YEARLY, GROWING or SEASONAL.
maxTermsPerQuery	integer	50	Terms per query, up to 100 (Pinterest's own limit).
endDate	string	latest	Report date as YYYY-MM-DD. Defaults to the newest date Pinterest has data for.
lookbackWindow	string	API default	7D, 30D, 90D, 180D or 365D.
keywordsToInclude	array	[]	Only keep terms containing one of these words.
keywordsToExclude	array	[]	Drop terms containing any of these words.
combineFilters	boolean	false	Send all filters in one query instead of one query per interest × event pair.
includeTimeSeries	boolean	false	Also fetch each term's weekly search-volume history.
includeDemographics	boolean	false	Also fetch the age and gender split of each term's audience.
includeRelatedTerms	boolean	false	Also fetch keywords Pinterest considers adjacent to each term.
timeSeriesDays	string	365	History length: 30, 90, 180, 365 or 730 days.
maxConcurrency	integer	2	Parallel requests. Keep low without a proxy.
maxRequestRetries	integer	5	Retries before a request is abandoned.
proxyConfiguration	object	disabled	Apify Proxy settings.

A typical input — Halloween beauty and food keywords in the US:

{
    "country": "US",
    "interests": ["BEAUTY", "FOOD_AND_DRINKS"],
    "events": ["halloween"],
    "trendType": "TOP_MONTHLY",
    "maxTermsPerQuery": 50,
    "includeDemographics": true
}

Supported countries

Pinterest publishes some smaller markets only as a region and rejects the individual country code. Pick the country you care about and this Actor maps it automatically — choose Australia and it queries AU+NZ, choose Switzerland and it queries DE+AT+CH. The output records both what you asked for (countryInput) and what was actually queried (country), so nothing is hidden from you.

Served individually: United States, Canada, United Kingdom, France, Germany, Italy, Spain, Brazil, Mexico, Argentina, Colombia, India.

Served as a region: UK & Ireland, DACH (Germany/Austria/Switzerland), Southern Europe, Nordics, Benelux, Central Europe, Latin America, Australia & New Zealand, Middle East & North Africa, and more — 40+ markets in total.

Markets with no Pinterest Trends coverage at all are rejected up front with a clear message, instead of failing halfway through a run.

Supported interest categories

24 top-level Pinterest categories: Animals, Architecture, Art, Beauty, Design, DIY & Crafts, Education, Electronics, Entertainment, Event Planning, Kids' Fashion, Men's Fashion, Women's Fashion, Finance, Food & Drinks, Gardening, Health, Home Decor, Parenting, Quotes, Sport, Travel, Vehicles, Wedding.

Supported seasonal events

54 seasonal events and shopping moments, and Pinterest tracks a different set for every country: Halloween, Christmas, Black Friday, Thanksgiving, Easter, Valentine's Day, Mother's Day, Father's Day, Back to School, Ramadan, Diwali, Lunar New Year, Pride, Prom, Summer, Oktoberfest (Germany), Festa Junina (Brazil), Carnaval (Spain, Brazil), Superbowl (US), NAIDOC Week (Australia), Golden Week (Japan) and many more.

If you pick an event a market does not track, the Actor logs a warning and skips it rather than failing the whole run. Note that an event outside its season legitimately returns nothing — querying Christmas in July is a valid request with no trending terms behind it.

Output

Each dataset row is one trending Pinterest search term. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

{
    "term": "halloween nails",
    "rank": 1,
    "country": "US",
    "countryInput": "US",
    "interest": "BEAUTY",
    "event": "halloween",
    "trendType": "TOP_MONTHLY",
    "endDate": "2026-09-03",
    "normalizedCount": 100,
    "searchCount": 100,
    "weeklyChangePct": 40,
    "monthlyChangePct": 200,
    "yearlyChangePct": -20,
    "weeklyChangeRank": 5,
    "monthlyChangeRank": 5,
    "yearlyChangeRank": 1,
    "seasonalityScore": 0.996177,
    "pinterestUrl": "https://www.pinterest.com/search/pins/?q=halloween%20nails",
    "trendsUrl": "https://trends.pinterest.com/detail/?country=US&terms=halloween%20nails",
    "scrapedAt": "2026-09-08T21:48:50.346Z"
}

Data fields

Field	Type	Description
term	string	The trending Pinterest search term.
rank	integer	Position in the ranking for this query, starting at 1.
country	string	Market actually queried, which may be a region string.
countryInput	string	Country you requested.
interest	string | null	Interest filter that produced this row.
event	string | null	Seasonal event filter that produced this row.
trendType	string	Ranking used for this run.
endDate	string	Date the trend data is reported as of.
normalizedCount	number	Search-volume index, 0–100, relative to the top term in the result set.
searchCount	number	Pinterest's relative search count for the term.
weeklyChangePct	number | null	Week-over-week growth, as a percentage (40 = +40%).
monthlyChangePct	number | null	Month-over-month growth, as a percentage.
yearlyChangePct	number | null	Year-over-year growth, as a percentage.
weeklyChangeRank	integer | null	The term's rank on weekly growth within the result set.
monthlyChangeRank	integer | null	Rank on monthly growth.
yearlyChangeRank	integer | null	Rank on yearly growth.
seasonalityScore	number | null	0–1; higher means more strongly seasonal.
pinterestUrl	string	Pinterest search results for the term.
trendsUrl	string	The term's page on Pinterest Trends.
scrapedAt	string	ISO timestamp of the scrape.

Bonus data: history, demographics and related keywords

Enable includeTimeSeries, includeDemographics or includeRelatedTerms and the extra data lands in the run's key-value store, one record per term:

• timeseries-<term>-<country> — weekly search-volume points over the chosen window, plus growth rates. Perfect for charting a keyword's trajectory.
• demographics-<term>-<country> — age and gender distribution of the audience searching the term. No other Pinterest trends scraper returns this.
• related-<term>-<country> — adjacent keywords with their own weekly curves, for keyword expansion.

All three are optional paid add-ons at $0.003 per keyword each and are switched off by default — see pricing below.

How much does it cost to scrape Pinterest Trends?

This Actor uses pay per event pricing: you pay for the keywords you actually receive, not for time spent or pages loaded. There is no monthly fee and no minimum.

What you pay for	Price
Starting a run	$0.005
Each trending keyword returned	$0.002
Audience demographics, per keyword	$0.003
Search-volume history, per keyword	$0.003
Related keywords, per keyword	$0.003

That works out to $2 per 1,000 Pinterest keywords — cheaper than comparable Pinterest keyword tools, because the Actor reads a JSON API instead of driving a browser.

What a typical run costs

Run	Cost
Quick check — 10 keywords	$0.025
Standard research — 50 keywords	$0.105
50 keywords + audience demographics	$0.255
50 keywords + demographics + history + related keywords	$0.555
Full sweep — 24 interests × 100 keywords (2,400 keywords)	$4.81

The three enrichment options are off by default, so a standard run only ever costs you the start fee plus the keywords themselves.

The Apify free plan includes $5 of usage every month — roughly 45 standard runs, or about 2,300 Pinterest keywords per month, at no cost. That is enough to run weekly trend monitoring on several markets indefinitely without paying anything. The free plan also includes scheduling and proxy access.

You can cap spending per run with Apify's maximum cost setting. If a run hits that ceiling the Actor stops charging, logs a warning and finishes cleanly with the data collected so far — you are never billed past your limit, and never billed for data you did not receive.

Tips for better Pinterest keyword research

• Use GROWING to find opportunities. TOP_MONTHLY returns much the same head terms every week. GROWING surfaces what is accelerating — usually the far more actionable list for content and ads.
• Watch the seasonality score. A term near 1.0 is sharply seasonal and will collapse out of season. A low score means steady, year-round demand — better for evergreen content.
• Plan 4–8 weeks ahead of the peak. Query an event before it arrives. That is when Pinterest search activity is climbing and competition for the keyword is still low.
• Keep attribution by default. Each interest × event pair runs as its own query so every row shows which filter produced it. Switch on combineFilters for a cheaper single blended ranking.
• Cross-check demographics before you commit ad spend. A keyword trending with 18–24s needs very different creative from one trending with 45+.
• Enable Apify Proxy for large runs. Pinterest rate-limits by IP and returns HTTP 429 under parallel load. The Actor retries with backoff, but a proxy plus maxConcurrency of 2–3 is far more reliable for big sweeps.
• Schedule it weekly and append to the same dataset to build your own historical Pinterest trend database.

Pinterest Trends Scraper vs. other Pinterest scrapers

Most Pinterest scrapers on Apify extract pins, boards and profiles — images, descriptions and engagement from individual pieces of content. This Actor is different: it extracts aggregate search demand data, the numbers behind what people are looking for. If you want images and pin metadata, use a pin scraper. If you want to know which keywords to target and when, use this one. They complement each other well.

FAQ

Is there an official Pinterest Trends API?

Not a public, self-serve one. Pinterest's official trends endpoints sit behind an approved business/ads account and an authorization header. This Actor reads the same public data the trends.pinterest.com website shows any logged-out visitor, and gives you a clean API and export on top of it.

Is scraping Pinterest Trends legal?

This Actor reads only public, unauthenticated, aggregate search statistics — the same numbers any visitor sees at trends.pinterest.com, with no login. It collects no personal data: the demographic fields are anonymous aggregate distributions Pinterest itself publishes, never information about individuals. Scraping publicly available data is generally legal, but you are responsible for how you use what you collect and for complying with Pinterest's Terms of Service and applicable law. If in doubt, seek legal advice.

Do I need a Pinterest account or API key?

No. No login, no cookies, no API key.

Is there a free version of this Pinterest Trends scraper?

Effectively yes. Apify's free plan gives you $5 of usage every month, which covers roughly 2,300 Pinterest keywords with this Actor — enough for weekly trend monitoring across several markets without ever paying. You only pay once you exceed that.

How am I billed?

Per event: $0.005 to start a run, then $0.002 for each trending keyword returned. The three enrichment options cost $0.003 per keyword each and are off by default. You are billed only for data actually delivered — nothing for empty results, and nothing beyond the maximum cost you set on the run.

Why did my run return no results?

Almost always a seasonal event queried outside its window — Christmas in July has no trending terms behind it. The run log tells you exactly which query came back empty.

Why was my event skipped?

Pinterest tracks a different event list for each country — there is no Thanksgiving in Australia and no Oktoberfest in the US. The log names the events actually available for your chosen market.

Why is my country not in the list?

Pinterest Trends does not publish data for every market. Japan, for example, appears in Pinterest's own event catalogue but its trends API serves no data.

Can I get more than 100 keywords?

Not per query — 100 is Pinterest's own ceiling. To go wider, split the run across several interests or events; each is a separate query with its own 100-term budget. Twenty-four interests gives you up to 2,400 keywords in one run.

How fresh is the data?

Pinterest's trends dataset runs a few days behind real time. Leave endDate empty and the Actor automatically asks Pinterest for the newest date it can serve.

Can I integrate this with Google Sheets, Zapier or Make?

Yes. Every Apify Actor exposes its dataset through the Apify API and works with Apify's integrations, including Google Sheets, Zapier, Make, Slack, Airbyte and webhooks.

Support and feedback

Found a bug or need a field that is not here? Open a ticket on the Issues tab of the Actor page — issues there are seen and acted on. If you need a custom version, another data source, or a tailored integration, custom solutions can be arranged through Apify.