# Pinterest Pins Scraper (`seemuapps/pinterest-pins-scraper`) Actor

Scrape Pinterest pins by keyword search, board URL, or username. Get images, descriptions, source links, creators, and save counts.

- **URL**: https://apify.com/seemuapps/pinterest-pins-scraper.md
- **Developed by:** [Andrew](https://apify.com/seemuapps) (community)
- **Categories:** Social media, Lead generation, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Pinterest Pins Scraper

Scrape Pinterest pins by keyword search, board URL, or username. Get images, descriptions, source links, creators, and save counts without login.

### What you get

For every pin returned, the scraper extracts a structured record:

**Pin metadata**

- Pin ID and direct Pinterest URL
- Title and description
- Source URL (the external destination the pin links to) and the domain
- Pin's dominant color (when available)

**Media**

- Full-size original image URL plus width and height
- `isVideo` flag and direct video URL when the pin is a video

**Engagement**

- Save count (repins)
- Comment count

**Creator (pinner)**

- Username and display name
- Verified flag
- Profile picture URL

**Board context**

- Board name and Pinterest board URL

**Pagination**

- `NEXT_PAGE_ID` bookmark cursor - paste into the next run to keep collecting

### Use cases

- **Visual trend research** - track which images and styles are gaining saves under a search term
- **E-commerce product research** - pull image URLs and source destinations for trending product categories
- **Influencer and creator discovery** - find Pinterest users posting high-engagement pins in your niche
- **Mood board / content inspiration** - bulk download imagery for a specific keyword or board
- **Competitive analysis** - monitor a competitor's board or profile pins over time
- **Affiliate research** - see which source domains (Etsy, Amazon, blogs) are most pinned for a topic

### How to use

Choose **one** of the three input modes:

1. **Keyword** - type any Pinterest search term (e.g. `minimalist kitchen`)
2. **Board URL** - paste the full URL of a public Pinterest board (e.g. `https://www.pinterest.com/username/board-slug/`)
3. **Username** - enter a Pinterest username (with or without `@`) to pull that user's created pins

Then:

1. Set **Max Pins** - default 100, or 0 for unlimited (will stop ~60s before the actor timeout)
2. Run the actor - pins appear in the **Dataset** tab as they are scraped
3. To fetch the next page, copy `NEXT_PAGE_ID` from the **Key-value store** tab and paste it into **Page ID** on the next run

If you set multiple input fields, the scraper prefers keyword over board URL over username and logs a warning.

### Output format

Each dataset record:

```json
{
  "pinId": "1234567890",
  "url": "https://www.pinterest.com/pin/1234567890/",
  "title": "Modern minimalist kitchen",
  "description": "White and oak kitchen with hidden appliances …",
  "imageUrl": "https://i.pinimg.com/originals/ab/cd/ef.jpg",
  "imageWidth": 1080,
  "imageHeight": 1350,
  "sourceUrl": "https://example.com/kitchen-inspo",
  "domain": "example.com",
  "saveCount": 432,
  "commentCount": 3,
  "dominantColor": "#e8d9c4",
  "boardName": "Kitchen Ideas",
  "boardUrl": "https://www.pinterest.com/jane/kitchen-ideas/",
  "creatorUsername": "jane",
  "creatorDisplayName": "Jane Doe",
  "creatorVerified": false,
  "creatorProfilePic": "https://i.pinimg.com/280x280_RS/...",
  "isVideo": false,
  "videoUrl": null,
  "scrapedAt": "2026-05-27T12:00:00.000Z"
}
```

### Pagination

Each run returns up to **Max Pins** records. To collect more across multiple runs:

1. Run the actor - when it finishes, `NEXT_PAGE_ID` is saved in the **Key-value store** tab
2. Copy the `NEXT_PAGE_ID` value
3. Start a new run with the same input and paste it into the **Page ID** field
4. Repeat until `NEXT_PAGE_ID` is `null` (feed fully exhausted)

If a single run hits the actor timeout, the cursor is written before the run ends so you can resume safely.

A `QUERY_INFO` record in the Key-value store summarises each run's mode, query, scraped count, and timestamp.

# Actor input Schema

## `keyword` (type: `string`):

Search Pinterest pins by keyword (e.g. 'minimalist kitchen', 'cottagecore outfit'). Leave blank if scraping by board URL or username.

## `boardUrl` (type: `string`):

Full URL of a public Pinterest board (e.g. https://www.pinterest.com/username/board-slug/). Leave blank if scraping by keyword or username.

## `username` (type: `string`):

Pinterest username to scrape all pins from (with or without @). Leave blank if scraping by keyword or board URL.

## `maxItems` (type: `integer`):

Maximum number of pins to scrape. Set 0 for unlimited (caps at platform timeout).

## `pageId` (type: `string`):

Optional. Paste NEXT\_PAGE\_ID (bookmark cursor) from the previous run's Key-value store to fetch the next page.

## Actor input object example

```json
{
  "keyword": "minimalist kitchen",
  "maxItems": 100
}
```

# Actor output Schema

## `results` (type: `string`):

Each record contains pinId, url, title, description, imageUrl, imageWidth, imageHeight, sourceUrl, domain, saveCount, commentCount, dominantColor, boardName, boardUrl, creatorUsername, creatorDisplayName, creatorVerified, creatorProfilePic, isVideo, videoUrl, and scrapedAt.

## `queryInfo` (type: `string`):

QUERY\_INFO record in the default key-value store summarising the scrape: mode, query, totalResults, scrapedAt.

## `nextPageId` (type: `string`):

NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the feed is fully exhausted.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keyword": "minimalist kitchen"
};

// Run the Actor and wait for it to finish
const run = await client.actor("seemuapps/pinterest-pins-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "keyword": "minimalist kitchen" }

# Run the Actor and wait for it to finish
run = client.actor("seemuapps/pinterest-pins-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keyword": "minimalist kitchen"
}' |
apify call seemuapps/pinterest-pins-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=seemuapps/pinterest-pins-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/ZvW9C8taHP6wJGswu/builds/e9XXEu54Rcsd2RPzY/openapi.json