Pinterest Trends Scraper & API - Keyword Research, Trending

Scrape Pinterest Trends without a login or an API key: keyword research, the four search lists of Pinterest's Trends tool with its own filters, and the five lists its home page shows, for 31 regions.

• Keyword research: up to two years of weekly search interest for any keyword, with its peak, growth and direction (rising, falling, steady, new, past peak), weekly, monthly and yearly change, Pinterest's 13-week forecast (United States), who searches for it by age and gender, and its related searches. Compare up to 20 keywords on one scale.
• Search lists: the fastest-growing, top monthly, top yearly and seasonal searches, up to 100 each, with their search volume, weekly, monthly and yearly change, a weekly curve and an image.
• Pinterest's own filters: interests (Home Decor, Beauty, Food and Drinks...), age groups, genders, seasonal moments (Christmas, Halloween, each region's own), the lists as they stood on a past date (up to a year back), and the run's own sort and minimum growth.
• The home page's lists: trends in the spotlight with example pins, shopping trends with clicks to shops week by week and Pinterest's forecast, editors' picks, and seasonal moments with Pinterest's phase (approaching, rising, peak, past peak) and dates.

It is also a Pinterest trend monitor. Schedule it with Only changes and each run returns only what is new since the last one: new searches on Pinterest's lists, moments taking off and keywords changing direction, posted to Slack, Discord, Telegram or Microsoft Teams if you like.

$1.00 per 1,000 list rows and $2.50 per 1,000 keywords on Apify's free plan, with platform usage included.

Example: Pinterest keyword research

{"keywords": ["fall nails", "matcha"], "pinterestRegions": ["US", "CA"], "keywordHistoryDays": "180"}

4 keyword rows, about $0.01 on Apify's free plan, in about 15 seconds (2026-11-06, Pinterest's data to 2 November):

Keyword	Region	Direction	Latest (0-100)	Peak	Last 3 weeks vs the 3 before	Forecast for 9 Nov	Searchers
fall nails	United States	past peak	57	85 on 28 Sep	-20.5%	72 (52-100)	91% female, 75% aged 18-34
fall nails	Canada	past peak	28	100 on 28 Sep	-50.6%		93% female, 78% aged 18-34
matcha	United States	steady	64	100 on 24 Aug	-11.7%		86% female, 86% aged 18-34
matcha	Canada	falling	55	100 on 21 Sep	-22.8%		87% female, 85% aged 18-34

Pinterest relates "fall nail inspo 2026", "autumn nails 2026" and "thanksgiving nails" to fall nails, and "matcha drink" and "matcha latte" to matcha. Its forecast covers the United States only, and only some keywords: on 6 November 2026 "fall nails" and "christmas nails" came with 13 forecast weeks, "matcha", "wallpaper", "dinner ideas" and "valentines day nails" with none.

Example: what grew in Home Decor for 25 to 34-year-olds

{"pinterestRegions": ["US"], "pinterestLists": ["topMonthly"], "interests": ["Home decor"], "ageGroups": ["25-34"],
 "genders": ["female", "male"], "endDate": "2026-08-14", "sortBy": "yearlyChange", "resultsPerList": 10}

Pinterest's top monthly Home Decor searches for 25 to 34-year-olds in the United States in the week to 14 August 2026, sorted by yearly change (the first 5 of the run's 10):

Search	Year over year	Month over month	Pinterest's rank
kitchen decor ideas	+600%	+80%	29
dark feminine bedroom	+500%	+20%	20
bedroom decor ideas	+400%	+30%	6
living room decor ideas	+400%	+50%	7
bathroom aesthetic	+400%	+20%	23

Leave the filters out and the same list for everyone that week starts with nails, hairstyles and wallpaper.

Example: what is growing on Pinterest in the United States

{"pinterestRegions": ["US"]}

The home page's five lists: 53 rows, about $0.05 on Apify's free plan, in about 40 seconds. The fastest-growing searches from a run on 2026-11-05:

#	Search	Week over week	Year over year	Last 4 weeks (0-100)
1	november blessings	+9,000%	+40%	0, 0, 1, 100
2	beaded tinsel	-6%	Breakout	0, 0, 100, 94
3	happy november	Breakout	+40%	0, 0, 1, 100
4	pumkin carvings ideas	+20%	+1,000%	14, 37, 82, 100
5	november nails ideas 2026	+400%	Breakout	0, 2, 22, 100

The same run's moments: Thanksgiving, Christmas and Hanukkah rising (Thanksgiving's searches took off on 2026-10-26 and peak around 2026-11-23, three days before the holiday), New Year's Eve and Valentine's Day approaching, Halloween past peak.

Why this scraper

• Keyword research and the lists in one Actor. Most Pinterest Trends scrapers read the search lists or look up keywords. This one does both, plus the home page's spotlight, shopping trends, editors' picks and moments.
• Who searches, not only how much. Each keyword comes with Pinterest's split of its searchers by age and gender, and every search list can be read for an age group, a gender or an interest.
• A direction you can act on. Each keyword says whether it is rising, falling, steady, new or past peak, built so that a season seen from its start doesn't read as rising once it has turned (see Reading the numbers).
• Pinterest's own figures. Its percentages, its breakout marks where a change is too big to show, its seasonality score, its forecast with low and high bounds, and its own phase for each moment.
• It tracks, not just lists. With Only changes it keeps a history per list and keyword, and returns only the searches that weren't there before, each moment once when Pinterest moves it to rising or peak, and each keyword whose direction changed.
• No login, no API key, no browser. It reads the data calls of Pinterest Trends' own pages, at a pace the site answers without refusing.
• Switch without rewriting your input. An input written for another Pinterest Trends Actor runs as it is: countries, trendTypes, keywordsToInclude, interestIds, ageGroups, rankingMethod, keywords and the rest are read as that Actor means them (see Switching from another Pinterest Trends Actor).
• A Pinterest Trends API and MCP server for AI agents. The same data answers live: an MCP server that Claude, Cursor or any MCP client calls directly, and an HTTP endpoint.
• Honest numbers. Something that didn't load is named in the row (notLoaded) and in the run's status, never filled with zeros. A keyword Pinterest has no searches for is a free row that says so.

	Typical Pinterest Trends scrapers	This Actor
Fastest-growing, top monthly, top yearly and seasonal searches, up to 100 each	Yes	Yes, with a weekly curve and an image
Interest, age and gender filters	Some	Yes
Seasonal searches for a moment	Rare	Yes, with each region's own moments
The lists as of a past date	Some	Yes, up to a year back
Keyword research (weekly interest up to two years)	Some	Yes, with direction, peak and growth
Pinterest's forecast	Rare	13 weeks (United States)
Searchers by age and gender	Rare	Yes
Keywords compared on one scale	Rare	Up to 20
Trends in the spotlight, shopping trends, editors' picks, moments	Rare	Yes
Regions	Up to 26	31, five beyond Pinterest's own menu
New searches and direction changes since the last run	Rare	Built in (Only changes)
Alerts to Slack, Discord, Telegram, Teams	Rare	Yes
MCP server and live API for AI agents	Rare	Yes

Use cases

• Pinterest SEO and keyword research: which wording people search for, whether it is still growing, when it peaks, and who searches for it, before you title a pin or a product.
• Content calendars: what people start searching for weeks before an event, with the week searches take off and peak, and the seasonal searches for each moment.
• E-commerce and merchandising: which product categories are getting more clicks to shops, Pinterest's forecast for the next weeks, and the top searches in your interest for your customers' age group.
• Social media and creators: new search terms worth a pin, a post or a video, with an image of each.
• Trend monitoring: a weekly schedule that posts each new fastest-growing search in your region, and each of your keywords that turns, to Slack.
• Market research across countries: the same lists and keywords for the US, Brazil, Germany, Japan, India or the Middle East, side by side.

How to use it in 3 steps

1. Type Keywords to research, and/or pick Lists, Regions (US, GB+IE, Germany...) and any filters.
2. Run it.
3. To follow trends over time, switch on Only changes since the last run, add an alert if you want one, and schedule it.

What you get

Keyword rows

One row per keyword and region (type: "keyword"). A real row, shortened:

{
    "type": "keyword",
    "region": "US",
    "regionName": "United States",
    "keyword": "fall nails",
    "hasData": true,
    "weeklyChangePercent": -10,
    "monthlyChangePercent": -10,
    "averageInterest": 28.2,
    "latestInterest": 57,
    "peakInterest": 85,
    "peakDate": "2026-09-28",
    "recentChangePercent": -20.5,
    "trendDirection": "past peak",
    "periodDays": 180,
    "dataEndDate": "2026-11-02",
    "weeklyInterest": [{"date": "2026-10-19", "value": 69}, {"date": "2026-10-26", "value": 64},
                       {"date": "2026-11-02", "value": 57}],
    "forecast": [{"date": "2026-11-09", "value": 72, "low": 52, "high": 100},
                 {"date": "2026-11-16", "value": 63, "low": 43, "high": 93}],
    "audienceAgePercent": {"18-24": 38, "25-34": 37, "35-44": 16, "45-49": 4, "50-54": 4, "55-64": 4, "65+": 4},
    "audienceGenderPercent": {"female": 91, "male": 4, "unspecified": 8},
    "relatedTerms": ["fall nail inspo 2026", "autumn nails 2026", "thanksgiving nails", "nails", "nails autumn 2026"],
    "pinterestLink": "https://trends.pinterest.com/search/?terms=fall%20nails&country=US"
}

weeklyInterest holds every week of the history you picked (90, 180, 365 or 730 days) on Pinterest's 0-100 scale, the keyword's own unless you compare. forecast continues it with Pinterest's prediction and its range. With Compare the keywords on, the keywords share Pinterest's own joint scale and each row names the others in comparedWith: over two years, for 18 to 24-year-olds in the United States, "fall nails" averaged 18.3 and matcha 1.2 (each alone has its own 0-100 curve). Read for some ages or genders only, a row says so in audienceFilter.

Search list rows

One row per search (type: "pinterest", list one of searchTrends, topMonthly, topYearly, seasonal). A real row from the Home Decor example, shortened:

{
    "type": "pinterest",
    "list": "topMonthly",
    "region": "US",
    "rank": 29,
    "term": "kitchen decor ideas",
    "searchVolumeIndex": 22,
    "weeklyChangePercent": 5,
    "monthlyChangePercent": 80,
    "yearlyChangePercent": 600,
    "isBreakout": false,
    "seasonalityScore": 0.333,
    "popularIn": ["Home Decor"],
    "listDate": "2026-08-14",
    "weeklyInterest": [{"date": "2026-07-31", "value": 93}, {"date": "2026-08-07", "value": 95},
                       {"date": "2026-08-14", "value": 100}],
    "imageUrl": "https://i.pinimg.com/236x/cd/71/53/cd71530239fc521fba6167dac980f78e.jpg",
    "pinterestLink": "https://trends.pinterest.com/search/?terms=kitchen%20decor%20ideas&country=US",
    "pinterestSearchLink": "https://www.pinterest.com/search/pins/?q=kitchen%20decor%20ideas"
}

rank is the search's place in Pinterest's list, kept when you sort the rows another way. searchVolumeIndex is its searches against the list's most searched term (100). isBreakout with breakoutPeriods marks a change Pinterest shows as a breakout instead of a number. weeklyInterest has 13 weeks (a year for top yearly and seasonal searches). pinterestLink opens the search on Pinterest Trends (shown to signed-in visitors), and pinterestSearchLink its pins on Pinterest.

Home page rows

A shopping trend, shortened:

{
    "type": "pinterest",
    "list": "shopping",
    "region": "US",
    "rank": 5,
    "term": "Seasonal & holiday decorations",
    "parentCategories": ["Home accessories"],
    "outboundClicksChangePercent": 64,
    "savesChangePercent": 30,
    "relatedSearches": ["tree ornaments", "halloween decor", "pumpkin", "hanging ornaments", "xmas decor"],
    "weeklyOutboundClicks": [{"date": "2026-10-19", "value": 38}, {"date": "2026-10-26", "value": 41},
                             {"date": "2026-11-02", "value": 48}],
    "forecast": [{"date": "2026-11-09", "value": 78, "low": 63, "high": 94},
                 {"date": "2026-11-16", "value": 83, "low": 67, "high": 100}]
}

weeklyOutboundClicks is clicks to shops by week, and forecast Pinterest's prediction for the next four weeks with its range, on the same scale. Pinterest gives a forecast for some categories only: 5 of the 10 on 2026-11-05. A seasonal moment:

{
    "type": "pinterest",
    "list": "moments",
    "region": "US",
    "term": "Thanksgiving",
    "status": "rising",
    "takeoffDate": "2026-10-26",
    "peakDate": "2026-11-23",
    "peakLengthDays": 49,
    "eventDate": "2026-11-26",
    "lastYearTakeoffDate": "2025-11-03",
    "lastYearPeakDate": "2025-11-24"
}

A moment's status is Pinterest's own phase: approaching, rising, peak or past peak. Its searches can peak on another day than the event. eventDate is the event's next date, so once the day has passed it is next year's (Halloween showed past peak with an eventDate of 2027-10-31).

Trends in the spotlight add a description, relatedSearches, popularIn (Pinterest's interests), a weekly curve and pins (example pins with their image and link). Editors' picks add a description, dates, interests, pins and keywordTrends: each keyword with its weekly, monthly and yearly change and 53 weeks of interest. A region Pinterest doesn't list gets a free notFound row that says why.

The dataset has views for Overview, Search lists, Keyword research, Keywords: audience and forecast, Spotlight and editors' picks, Shopping trends, Moments, Changes and Not found (a view picks columns: every view lists every row, so filter on type, list or change if you need to).

How to use it

Keyword research

Keywords takes words or phrases, one per line: each gets a row per region (the United States when you name none). Keyword history is 90, 180, 365 (the default) or 730 days. Forecast adds Pinterest's 13 weeks where it gives them (the United States, some keywords only). Audience adds the split by age and gender, and Related searches Pinterest's five related terms. Compare the keywords puts up to 20 on one scale, as Pinterest Trends' own comparison does. Age groups and Genders also apply to keyword research: the weekly interest is then that audience's.

A keyword Pinterest has no searches for is a free row with hasData: false. For a few keywords Pinterest gives a change but leaves out the weekly curve, even in its own seasonal list ("first day of school prayer", August 2026): the row then has the change without weeklyInterest.

Search lists and Pinterest's filters

Lists picks among the four search lists (fastest-growing, top monthly, top yearly, seasonal) and the home page's five. Empty: the home page's five, or none when you only research keywords. Results per list keeps the first N of each list in each region: 20 by default for a search list, up to 100 (Pinterest's most).

• Interests: Pinterest's 24 (Home Decor, Beauty, Food and Drinks, Fashion, Wedding...), by name. Several: searches popular in any of them.
• Age groups (18-24, 25-34, 35-44, 45-49, 50-54, 55-64, 65+, or 18-20 and 21-24) and Genders (female, male, unspecified).
• Moments: the seasonal searches for these moments. Each region has its own: the United States has 13 (Christmas, Thanksgiving, Valentine's Day...), Germany adds Oktoberfest, Karneval and Ramadan, Great Britain and Ireland Prom and Lunar New Year. A moment a region doesn't have is named in the run's status and left out (Pinterest would refuse the whole list), and regions without moments (Korea, Turkey and seven more) and those beyond the home page's menu read seasonal searches only without Moments.
• Lists as of: the lists as they stood in the week to a past day, up to a year back. Pinterest's weeks end on a Friday, and each row's listDate says which week was read.
• Sort search lists by search volume or weekly, monthly or yearly change, the largest first; Minimum weekly, monthly or yearly change keeps the searches that grew at least that much. Both read Pinterest's 100 and keep the top of them.
• Trends containing and Leave out trends containing keep or drop entries by your words in their name or related searches (whole words and their plurals, any case, accents aside: 'nail' finds 'nails', 'ai' doesn't find 'paint'), on every list.

Regions

Regions takes Pinterest's regions by code or name: US, CA, GB+IE, DE, FR, BR, MX, AU+NZ, KR and the rest of its menu (26), plus five it answers outside its menu: India, Indonesia, Saudi Arabia, the Middle East and North Africa (AE+SA+KW+QA+OM+BH+EG+IQ+DZ) and a group of Israel, Nigeria, Pakistan, South Africa, Turkey, Morocco and India (IL+NG+PK+ZA+TR+MA+IN). A country Pinterest groups with others reads its group (Australia reads Australia and New Zealand, Kuwait the Middle East and North Africa). With no region, the United States is read.

Pinterest shows the spotlight, shopping trends and editors' picks for the United States, Canada, and Great Britain and Ireland only, and the five regions beyond its menu get the search lists and keyword research only; the run says which lists aren't read where. Pinterest often answers a list with HTTP 500 at first, and the Actor asks again after a pause, so from Apify a list took 8 to 16 seconds on average (5 November 2026). Give a run with many regions a timeout of 30 minutes or more.

Pinterest Trends links takes links from trends.pinterest.com, a keyword page's included: each adds its region, keywords, list and filters (the input's own settings win). The Actor reads the link and never opens it.

Max results

Max results (1,000 by default) is shared between the regions, lists and keywords in rounds, so one list doesn't use up the others' share. What doesn't fit is named in the run's status message.

Reading the numbers

• Changes: weeklyChangePercent, monthlyChangePercent and yearlyChangePercent are Pinterest's own. Where a change is too big to show, Pinterest shows a breakout instead: the row has isBreakout: true, breakoutPeriods and no figure for that period.
• Interest: weeklyInterest is on a 0-100 scale where 100 is the term's busiest week in the period (one scale for all, with Compare the keywords). With a forecast, Pinterest puts 100 at the forecast's highest upper bound instead, so the measured weeks can peak lower: "fall nails" over 180 days in the United States peaks at 85 with its forecast and at 100 without. averageInterest, latestInterest, peakInterest and peakDate are read from it. growthPercent compares the last quarter of the period with the first, and recentChangePercent the last eighth with the eighth before.
• Direction: rising or falling when both the last quarter and the last eighth are more than 15% above or below the first quarter, steady otherwise, new when the first quarter had no interest at all. past peak is a keyword that rose (or is new) over the period and whose last eighth is more than 15% below the eighth before. A season seen from its start is the reason: "fall nails" over the 180 days to 2 November 2026 rose from 0 in May to 85 at the end of September and fell to 57, and without that rule it would read rising.
• Audience: audienceAgePercent and audienceGenderPercent are Pinterest's shares of the keyword's searchers. Pinterest shows any group under 4% as 4% (every older age group of "fall nails" and "matcha" was exactly 4), so the shares can add up to a little more than 100.
• Forecast: each point has Pinterest's predicted value and its low and high bounds, on the curve's scale.

Tracking changes on a schedule (Pinterest trend monitor)

1. Switch on Only changes since the last run. Optionally pick the Changes to report.
2. Run it once: the first run returns everything as firstRun and saves it as the baseline.
3. Schedule it (Apify Console, Schedules). Each later run returns only what changed.

change	meaning
newOnPinterest	a search or entry new on its list since the last run
momentRising	a seasonal moment Pinterest moved to rising or peak, with previousStatus
directionChanged	a keyword whose direction changed (rising to past peak), with previousTrendDirection
firstRun	the first run's baseline

• An entry is new the first time it appears on its list in that region. A moment is reported once, when Pinterest moves it to rising or peak. A keyword is returned on every run with change set when its direction changed.
• Histories are kept per region, list, keyword and filter (two monitors with different filters don't mix), in the key-value store pinterest-trends-history, or one you name in History name.
• Only what a run returns moves the history: if Max results, Results per list or your spending limit stops a run, the changes it didn't return come with the next run. The status message says how many wait.
• Pinterest updates its lists and keyword data once a week, so a weekly or daily schedule is enough.

Alerts in Slack, Discord, Telegram or Microsoft Teams

Paste an incoming-webhook URL in Alert webhook URL (Slack, Discord, Microsoft Teams, or any HTTPS endpoint that takes JSON, such as Zapier, Make or n8n), or a Telegram bot token and Telegram chat id. Each switches on Only changes, and Alert on picks which changes are posted. The first run posts one short "Pinterest Trends alerts are set up" message; each later run posts its changes, up to 50 per run. A run that stops early still posts the changes it stored, a restarted run doesn't post a message twice, and a failed post doesn't fail a run whose data loaded: its status says why.

Run summary for pipelines

Each run saves a RUN_SUMMARY record in its key-value store: per list, keyword group and region, its rows; plus the changes, what didn't load and why, and the filters used.

Switching from another Pinterest Trends Actor

Paste the input you already use: other Pinterest Trends Actors' field names are read as those Actors mean them, and the run's notes list what was read that way.

Their field	Read here as
countries, country, region, markets, trendsRegion	Regions
trendTypes, trendType, trendView (growing, top_monthly, topYearly, seasonal...)	Lists
keywords, terms, seedKeywords, trendKeywords, or a keyword mode	Keywords (keyword research)
keywordsToInclude, includeKeywords / keywordsToExclude, excludeKeywords	Trends containing / Leave out
interestIds, interestId, interests, interestCategories	Interests
ageGroups, ageBuckets, genders, gender	Age groups, Genders
events, seasonalEvents, moment	Moments
endDate, trendsEndDate	Lists as of
rankingMethod, rankingBasis, sortBy	Sort search lists by
minWeekOverWeekGrowth, minimumWeeklyGrowth...	Minimum weekly (monthly, yearly) change
maxResultsPerCountry, maxTrendsPerList, numTerms, maxTermsPerQuery	Results per list
historyRange, timeSeriesDays, historyPeriod, days	Keyword history
forecast, predictedDays, includeDemographics, includeRelated, compareKeywords	Forecast, Audience, Related searches, Compare
onlyNew, watchName	Only changes, History name
startUrls	Pinterest Trends links

Their own defaults are read as no choice. A lookbackWindow is named as ignored: Pinterest answers the same list whatever it is. Keyword suggestions and Pinterest's own pages (searchQueries, pinUrls, boardUrls, profiles) can't be read: www.pinterest.com closes every page to robots. Asked for on their own they stop the run before anything is read or charged, with a message that says why; beside a list or keywords, they are named and the rest is read.

Pinterest Trends API: use it from code or from an AI assistant

Start a run and get the rows in one call (replace <YOUR_TOKEN>; a call that waits gives up after 5 minutes):

curl -X POST "https://api.apify.com/v2/acts/akhil_rajesh~pinterest-trends-scraper/run-sync-get-dataset-items" \
  -H "Authorization: Bearer <YOUR_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"keywords": ["fall nails", "matcha"], "pinterestRegions": ["US"]}'

Or from Python with apify-client:

from apify_client import ApifyClient

client = ApifyClient("<YOUR_TOKEN>")
run = client.actor("akhil_rajesh/pinterest-trends-scraper").call(run_input={
    "pinterestRegions": ["US"], "pinterestLists": ["searchTrends", "topMonthly"], "interests": ["Beauty"],
    "resultsPerList": 50,
})
for row in client.dataset(run.default_dataset_id).iterate_items():
    print(row["list"], row["rank"], row["term"], row.get("yearlyChangePercent"))

For AI agents: MCP server and live API

The Actor also runs as a live endpoint (Apify Standby): an MCP server that agents call directly, and an HTTP endpoint. Once a Standby run is up, a request is answered in seconds; the first request starts one. Authenticate with your Apify API token in the Authorization: Bearer <token> header.

MCP server (Streamable HTTP): https://akhil-rajesh--pinterest-trends-scraper.apify.actor/mcp

{"mcpServers": {"pinterest-trends": {"type": "http", "url": "https://akhil-rajesh--pinterest-trends-scraper.apify.actor/mcp",
  "headers": {"Authorization": "Bearer <YOUR_APIFY_TOKEN>"}}}}

In Claude Code:

$claude mcp add --transport http pinterest-trends https://akhil-rajesh--pinterest-trends-scraper.apify.actor/mcp --header "Authorization: Bearer <YOUR_APIFY_TOKEN>"

A client that can't send headers can use https://akhil-rajesh--pinterest-trends-scraper.apify.actor/mcp?token=<YOUR_APIFY_TOKEN>; keep that URL private, as it carries your token.

Tool	What it returns
research_pinterest_keywords	Keyword research: weekly interest, direction, forecast, audience and related searches per keyword and region
get_pinterest_trends	A region's lists: the four search lists with Pinterest's filters, and the home page's five
run_actor	The Actor's whole input in one call

HTTP endpoints: GET https://akhil-rajesh--pinterest-trends-scraper.apify.actor/keywords?keywords=fall nails|matcha&regions=US and GET .../pinterest?regions=US&lists=topMonthly&interests=beauty&ages=25-34 (separate several values with |). The Actor's Endpoints tab in Apify Console lists them, and lets you try them.

Endpoint	Parameters
GET /keywords	keywords, regions, days, forecast, compare, audience, related, ages, genders, max
GET /pinterest	regions, lists, words, skip, perList, interests, ages, genders, endDate, moments, sort, minWeekly, minMonthly, minYearly, max
POST /run	The Actor's whole input as JSON

A tool call reads up to 5 regions, 10 keyword lookups (keywords times regions) and 200 rows within 50 seconds; an HTTP request 20 regions, 40 lookups and 2,000 rows. A request stops at its time and size limits and names what it left in notRead. Tracking and alerts belong to scheduled runs: a request is answered on its own. On the live endpoint, platform usage is added to the price of the rows while the run serves you, and a request keeps reading until its limit even if the caller stops waiting.

How much does it cost?

You pay $1.00 per 1,000 list rows and $2.50 per 1,000 keywords on Apify's free plan, less on paid plans, plus a start fee of $0.00005 per run. A list row is one entry of a list, with everything it holds (curve, image, pins, forecast); a keyword is a keyword row with data, with its whole history, forecast, audience and related searches (a keyword read in two regions is two). Platform usage is included in runs of the Actor: there is no compute charge on top (the live endpoint is the exception: see above). Keywords Pinterest has no searches for, and regions that weren't found, are free.

Apify plan	Per 1,000 list rows	Per 1,000 keywords
Free	$1.00	$2.50
Starter	$0.70	$0.90
Scale	$0.55	$0.45
Business and above	$0.40	$0.30

Run	Rows	Cost (Free plan)
2 keywords in the US and Canada	4 keywords	$0.01
100 keywords in the US	100 keywords	$0.25
The US fastest-growing searches	20	$0.02
The four US search lists, 100 each	400	$0.40
The US home page's five lists	about 53	about $0.05
The US, all five lists, tracked weekly	a few changes a week	under $0.10 a month

Apify's free plan ($5 of monthly credit) covers about 5,000 list rows or 2,000 keywords. To cap spending, lower Max results or set a maximum cost per run in the run options: the run stops at the limit and says so.

What it can't do

• Search counts: Pinterest gives changes in percent, interest on a 0-100 scale and volume against a list's top search, not numbers of searches.
• Keyword suggestions, pins, boards and profiles: Pinterest's own site (www.pinterest.com) closes every page to robots in its robots.txt, so the Actor reads Pinterest Trends only. Each keyword brings Pinterest Trends' five related searches, the spotlight and editors' picks bring example pins, and each row links to Pinterest's search for its term.
• A forecast outside the United States, or for keywords Pinterest doesn't forecast.
• Shopping trends by saves, or for categories you name: the shopping list is the home page's (the 10 categories whose clicks to shops grew most), with each one's change in saves.
• Lists more than a year back: Pinterest keeps a year of its lists.

For Google's side of the same question, Google Trends Scraper & API reads Trending Now in 125 countries and any keyword's interest over time, by region and its rising searches.

FAQ

Do I need a Pinterest account or an API key? No.

How often does Pinterest update its data? Once a week: the lists and each keyword's curve go by week, and each row says the week it was read for (listDate, dataEndDate). Moments move with the calendar.

Why does a region only get some lists? Pinterest shows the spotlight, shopping trends and editors' picks for the US, Canada, and the UK and Ireland only, and its five regions outside the menu have no home page lists. The run names the lists it didn't read where.

Why do a keyword's audience shares add up to more than 100? Pinterest shows every group under 4% as 4%.

Can I use it with Google Sheets, Zapier, Make or n8n? Yes, through Apify's integrations: start a run from a Zap or scenario and read its dataset, or send each run's rows to a Google Sheet.

Is it legal to scrape Pinterest Trends? This Actor reads public, aggregated data from Pinterest Trends, and no personal data. Check your own use against the laws that apply to you and Pinterest's terms.

Is this an official Pinterest product? No. This Actor isn't affiliated with or endorsed by Pinterest. Pinterest is a trademark of Pinterest, Inc.

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