Pinterest Trends Scraper

Export the data behind Pinterest Trends (trends.pinterest.com) as a table: the growing, seasonal, top monthly and top yearly search keywords for a country, filtered by interest, age group, gender and keywords, with weekly, monthly and yearly growth. Add weekly search-volume history (up to 2 years) to every keyword, or look up the history and growth of your own keywords.

Built for content marketers, Pinterest managers, e-commerce and product teams, SEO tools and trend researchers. No Pinterest account needed.

What you get

Field	Example	Notes
term	fall nails	the search keyword
country	US	country or region group
trend_type	growing	growing, seasonal, top_monthly, top_yearly or keyword_lookup
rank	1	position in Pinterest's list
search_volume_index	100	relative search volume, 0-100
weekly_change_pct, monthly_change_pct, yearly_change_pct	-7.0, 200, 20.0	growth in %. Pinterest caps the display at +10,000% (shown as 10000)
is_new_trend	true	monthly growth at Pinterest's cap (new or breakout search)
seasonality_score, is_seasonal	0.98, true	Pinterest's seasonality score (≥ 0.825 = seasonal)
interests	["beauty"]	interest categories of the keyword (when Pinterest returns them)
lookback_window, interest_filter, age_filter, gender_filter, include_keywords, exclude_keywords		the filters used for the row
latest_value, peak_value, peak_date	93, 100, 2026-09-28	from the history (with history on)
history_weekly_change_pct, history_monthly_change_pct, history_yearly_change_pct		growth from the history series
history	[{"date": "2026-07-13", "value": 2}, ...]	weekly search-volume index
data_end_date	2026-10-05	the latest week Pinterest has data for

Use cases

• Content planning: find what people will search for next month and pin it before the peak.
• Seasonal campaigns: get Halloween, Christmas or wedding-season keywords with the week they peak.
• E-commerce and product research: spot rising products and styles by interest category and audience.
• SEO and keyword tools: feed Pinterest search volume and growth into your own dashboards.
• Audience research: compare what women 25-34 search in the UK with men 35-44 in the US.

Input

Parameter	Description
countries	US, CA, GB, DE, FR, IN, BR, MX, ES, IT, AR, CO, KR, or the region groups Pinterest offers (AU+NZ, GB+IE, DE+AT+CH, NL+BE+LU, Nordics, Southern Europe, Latin America).
trendTypes	growing, seasonal, top_monthly, top_yearly.
maxTermsPerList	Keywords per country and list, up to 100 (Pinterest's limit).
lookbackWindow	Period used to rank growth: 1 week, 1 month, 3 months, 6 months or 1 year.
interests / splitByInterest	Filter to Pinterest interest categories (beauty, home decor, fashion, food and drinks, wedding, travel, ...); optionally one list per interest.
ageGroups, genders	Audience filters.
includeKeywords, excludeKeywords	Keep or drop trends containing these words.
includeHistory	Add the weekly search-volume history and peak week to every trend keyword.
keywords	Look up your own keywords: one row per keyword and country with history and growth.
historyRange	1 month to 2 years.

Example input

{
  "countries": ["US", "GB+IE"],
  "trendTypes": ["growing", "seasonal"],
  "maxTermsPerList": 50,
  "interests": ["home_decor"],
  "ageGroups": ["25-34"],
  "includeHistory": true,
  "historyRange": "1y",
  "keywords": ["christmas nails", "fall outfits"]
}

Example output row

{
  "term": "fall nails",
  "country": "US",
  "trend_type": "top_monthly",
  "rank": 1,
  "search_volume_index": 100,
  "weekly_change_pct": -7.0,
  "monthly_change_pct": 200,
  "yearly_change_pct": 20.0,
  "is_new_trend": false,
  "seasonality_score": 0.98,
  "is_seasonal": true,
  "interests": ["beauty"],
  "age_filter": ["25-34"],
  "gender_filter": ["female"],
  "latest_value": 93,
  "peak_value": 100,
  "peak_date": "2026-09-28",
  "history": [{"date": "2026-07-13", "value": 2}, {"date": "2026-10-05", "value": 93}],
  "data_end_date": "2026-10-05"
}

Scheduling and integrations

Pinterest updates Trends weekly. Schedule the actor every Monday and send the rows to Google Sheets, Looker Studio, a database or a webhook through Apify integrations to keep a weekly trend log.

Use with AI assistants (MCP)

Use the actor as a tool in Claude, ChatGPT and other MCP clients through the Apify MCP server (https://mcp.apify.com). Example prompt: "What home decor searches are growing fastest on Pinterest in the UK this month, and when do they usually peak?"

FAQ

Where does the data come from? From Pinterest Trends, Pinterest's own public trends tool. The numbers are Pinterest's relative search-volume index (0-100), not absolute search counts.

How fresh is it? Pinterest publishes weekly data with a lag of about a week. Every row includes data_end_date.

Why does the monthly change sometimes say 10000? Pinterest caps growth at +10,000%. New or breakout searches hit the cap; is_new_trend marks them.

Why do some of my keywords return nothing? Pinterest only tracks keywords with enough search volume. Keywords without data are skipped and not charged.

Which countries are covered? The countries and region groups Pinterest Trends offers (listed above). Other countries are not available in Pinterest Trends.

Do I need a Pinterest account? No.