Pinterest trending topics scraper skill for AI agents

Collect Pinterest's public featured and editorial trend topics, its shopping category taxonomy, and shopping-category click metrics with history and forecast, by region.

What the skill does

It tells your agent when a request fits the Pinterest Trending Topics & Shopping Category Scraper Actor, which input to send and which fields come back (term, title, name, region and 5 more). The agent runs it through the Apify API with your token and gets JSON rows.

Skill files updated 2026-11-14.

Install by hand

Save the five files into a folder named pinterest-trending-topics-and-shopping-category-scraper: ~/.claude/skills/pinterest-trending-topics-and-shopping-category-scraper/ for Claude Code, ~/.agents/skills/pinterest-trending-topics-and-shopping-category-scraper/ for Codex and most other agents.

The same five files as one download: pinterest-trending-topics-and-shopping-category-scraper.zip (6.0 KB).

Run it

Ask your agent in plain words, for example "Pinterest trending topics scraper", and it picks the skill from its description. Or run the script yourself:

export APIFY_TOKEN=your_apify_token
cd pinterest-trending-topics-and-shopping-category-scraper                             # the skill folder
node scripts/run.mjs                     # the example input
node scripts/run.mjs my-input.json       # your own input

Without an argument the script uses references/example-input.json. It waits for the run and prints the rows as JSON; for long runs SKILL.md shows the async API calls.

What it returns

Main fields the Pinterest trending topics scraper skill returns
FieldWhat it is
termTerm
titleTitle
nameName
regionRegion
trendTypeTrend Type
rankRank
weekOverWeekChangeWeek Over Week Change

Read SKILL.md

Show the whole file (5.3 KB)
---
name: pinterest-trending-topics-and-shopping-category-scraper
description: "Collect Pinterest's public featured and editorial trend topics, its shopping category taxonomy, and shopping-category click metrics with history and forecast, by region. Output fields: term, title, name, region, rank and more, as JSON rows. Use it for requests like \"Pinterest trending topics scraper\", or a CSV/JSON export of public Pinterest data."
---

# Pinterest Trending Topics & Shopping Category Scraper

Collect Pinterest's public featured and editorial trend topics, its shopping category taxonomy, and shopping-category click metrics with history and forecast, by region.

- Actor: https://apify.com/vexaloom-labs/pinterest-trending-topics-and-shopping-category (ID `vexaloom-labs~pinterest-trending-topics-and-shopping-category`)
- n8n workflow for the same Actor: https://scraperfinder.com/n8n/pinterest-trending-topics-and-shopping-category-scraper/
- Example input: `references/example-input.json`
- Input schema: `references/input-schema.json`
- Output fields: `references/output-fields.json`

Short video breakdown:
- [Your Pinterest topics are already ranked](https://www.youtube.com/shorts/14Wbs-96RPg)

## When to use

Use this skill when the user wants:

- Pinterest trending topics scraper
- a repeatable export of public Pinterest data as CSV or JSON

Do not use it for private, login-protected or paywalled data.

## What it returns

One JSON row per result. Columns from the Actor's dataset schema:

- `term`: Term
- `title`: Title
- `name`: Name
- `region`: Region
- `trendType`: Trend Type
- `rank`: Rank
- `weekOverWeekChange`: Week Over Week Change

All 9 declared fields: `references/output-fields.json`.

## Inputs

| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `mode` | string | yes | trendingSearches | Choose a Pinterest Trends dataset. |
| `region` | string | no | US | Pinterest Trends market. Combined codes such as `GB+IE` cover Pinterest's published regional groups. |
| `trendType` | string | no | topMonthly | Trending list to collect (mode=trendingSearches). |
| `lookbackWindow` | string | no | 30D | Comparison window used by Pinterest for trending searches (mode=trendingSearches). |
| `endDate` | string | no |  | Historical end date in `YYYY-MM-DD` format. Leave empty for Pinterest's latest available date (mode=trendingSearches, keywordResearch, shoppingCategories, shoppingMetrics). |
| `interest` | string | no | all | Pinterest interest filter for trending searches (mode=trendingSearches). |
| `moment` | string | no | all | Pinterest seasonal moment filter for trending searches (mode=trendingSearches). |
| `keywordsToInclude` | array | no | [] | Only keep trending searches containing at least one of these words (mode=trendingSearches). |
| `keywordsToExclude` | array | no | [] | Drop trending searches containing any of these words (mode=trendingSearches). |
| `ageGroup` | string | no | all | Pinterest audience age filter for trending searches and keyword research. |
| `gender` | string | no | all | Pinterest audience gender filter for trending searches and keyword research. |
| `keywords` | array | no | [] | Terms to research (mode=keywordResearch). Leave empty to use Pinterest's current top trending searches. |
| `days` | integer | no | 90 | History length in days for keyword research and shopping metrics. |
| `predictedDays` | integer | no | 0 | Pinterest forecast horizon. Forecasts are published for the US only (mode=keywordResearch, shoppingMetrics). |

8 more optional fields on the Actor's Input tab.

Example (`references/example-input.json`):

```json
{
  "maxItems": 25,
  "mode": "trendingSearches"
}
```

The input passes the Actor's input schema (checked at every publish). First run: `maxItems` = 25, small enough for the 300-second sync wait; raise it once the rows look right.

## Run it

Set `APIFY_TOKEN`, then call the synchronous endpoint for small and medium runs (it waits up to 300 seconds):

```bash
curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~pinterest-trending-topics-and-shopping-category/run-sync-get-dataset-items" \
  -H "Authorization: Bearer $APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d @references/example-input.json > output.json
```

Or with Node 18+: `node scripts/run.mjs [input.json]`.

For large runs, start an async run and read its dataset when it finishes:

```bash
RUN=$(curl -s -X POST "https://api.apify.com/v2/acts/vexaloom-labs~pinterest-trending-topics-and-shopping-category/runs" \
  -H "Authorization: Bearer $APIFY_TOKEN" -H "Content-Type: application/json" \
  -d @references/example-input.json)
RUN_ID=$(echo "$RUN" | jq -r '.data.id'); DATASET=$(echo "$RUN" | jq -r '.data.defaultDatasetId')
curl -s "https://api.apify.com/v2/actor-runs/$RUN_ID?waitForFinish=60" -H "Authorization: Bearer $APIFY_TOKEN" | jq -r '.data.status'
curl -s "https://api.apify.com/v2/datasets/$DATASET/items?format=json" -H "Authorization: Bearer $APIFY_TOKEN" > output.json
```

## Cost and limits

- Apify bills the Actor's usage on your account; the Actor's Pricing tab shows the current price.
- Keep the limit in the input small for a first run.

## Guardrails

- Public data only. Do not pass cookies, sessions or private account data.
- Do not use the output for spam, harassment or unlawful discrimination.
- Check the target site's terms and local law before running at scale.

Questions people ask

Which agents can use this skill?

Any agent that reads Agent Skills folders: Claude Code, Codex, Cursor, Gemini CLI and the other agents the skills CLI installs into. The skill is a SKILL.md file plus a small Node script, so an agent without skill support can still follow the file by hand.

Does the skill cost anything?

The skill is free. Running it starts the Pinterest Trending Topics & Shopping Category Scraper Actor on your own Apify account, which bills the run at the Actor's Store price; the Apify Free plan includes $5 of usage a month.

What does npx skills add install?

The whole folder: SKILL.md, scripts/run.mjs and the three reference files, downloaded from this site and checked against the SHA-256 digest in scraperfinder.com/.well-known/agent-skills/index.json. Add -g to install it for every project.

Skill updated 2026-11-14