# Pinterest Pin Search Scraper (`scrapingmonkey/pinterest-pin-search-scraper`) Actor

Search public Pinterest pins by keyword, including a video mode. Export individual pins with text, images, video links, authors, boards and source URLs.

- **URL**: https://apify.com/scrapingmonkey/pinterest-pin-search-scraper.md
- **Developed by:** [ScrapingMonkey](https://apify.com/scrapingmonkey) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

Find public Pinterest pins by keyword and export each matching pin as a separate dataset row. **Pinterest Pin Search Scraper** collects titles, descriptions, image and video links, source websites, creators and board context from the public search results.

Start with a topic to build a content research sample, discover source websites or collect visual references. Choose the regular pin search or video search and a page budget for each query.

| At a glance | Details |
|---|---|
| 📥 Input | Enter keyword queries or canonical Pinterest /search/pins/?q= or /search/videos/?q= URLs. A search URL selects its own mode; plain text uses Mode. |
| 📤 Output | One pin per success row with the input source retained |
| 📄 Pagination | Result pages per input; page sizes and availability are controlled by Pinterest |
| 🔐 Login required | No |
| ⚡ Processing | Up to 5 HTTP requests concurrently; up to 5 attempts for temporary failures |
| 💾 Delivery | One Apify dataset view with individual records and complete nested JSON |

### What the Pinterest pin search scraper collects 🔎

The Actor follows Pinterest search pagination and keeps useful pin records while excluding interface modules. Search results retain the original query so you can compare several topics in one export.

Data can include:

- Pin identifiers, canonical links, text and source-query context
- Images with available dimensions and variants
- Video variants or playlists when Pinterest supplies them
- External links, domains, creator and board fields
- Visible engagement and other optional pin metadata exposed in search

| Mode | Input | Result |
|---|---|---|
| `all` | Keywords or `/search/pins/` URL | Regular pin search |
| `videos` | Keywords or `/search/videos/` URL | Video pin search |

A search URL selects its own mode; plain text follows the `mode` input.

### How to collect pin search results from Pinterest 🚀

1. Enter one or more supported inputs.
2. Set the page budget and any collection option you need.
3. Start the Actor.
4. Open the **Pins** dataset view and review success or failed rows.
5. Export the dataset or retrieve records from your application.

```json
{
  "inputList": [
    "modern kitchen"
  ],
  "mode": "all",
  "pagesPerSearch": 1
}
```

Each page setting counts result pages per query. Pinterest chooses page sizes and ranking; observed sample sizes are not a fixed number of saved results. The video option selects the website’s video search.

### Pinterest pin search results output fields 📦

| Field | Type | Meaning |
|---|---|---|
| `input` | string | Original submitted input. |
| `status` | string | Whether this entity was successfully collected. |
| `page` | integer or null | One-based page within this input's collection. |
| `query` | string or null | Resolved keyword query used for this result. |
| `mode` | string or null | Search mode, or created for profile Created-tab pins. |
| `id` | string or null | Id when supplied by Pinterest. |
| `url` | string or null | Url when supplied by Pinterest. |
| `title` | string or null | Title when supplied by Pinterest. |
| `description` | string or null | Description when supplied by Pinterest. |
| `created_at` | string or null | Created at when supplied by Pinterest. |
| `link` | string or null | Link when supplied by Pinterest. |
| `domain` | string or null | Domain when supplied by Pinterest. |
| `alt_text` | string or null | Alt text when supplied by Pinterest. |
| `auto_alt_text` | string or null | Auto alt text when supplied by Pinterest. |
| `seo_title` | string or null | Seo title when supplied by Pinterest. |
| `seo_description` | string or null | Seo description when supplied by Pinterest. |
| `seo_alt_text` | string or null | Seo alt text when supplied by Pinterest. |
| `dominant_color` | string or null | Dominant color when supplied by Pinterest. |
| `image_url` | string or null | Image url when supplied by Pinterest. |
| `images` | array or null | Available image variants, preserved in one dataset cell. |
| `videos` | array or null | Available video variants with duration in milliseconds, preserved in one dataset cell. |
| `has_video` | boolean or null | Whether video variants were present in this response. |
| `is_video_raw` | boolean or null | Raw Pinterest is\_video flag; video variants can exist when it is false. |
| `is_repin` | boolean or null | Is repin when supplied by Pinterest. |
| `is_promoted` | boolean or null | Is promoted when supplied by Pinterest. |
| `repin_count` | integer or null | Repin count reported for this pin; separate from aggregate saves. |
| `comment_count` | integer or null | Comment count reported for this individual pin. |
| `favorite_user_count` | integer or null | Favorite user count when supplied by Pinterest. |
| `share_count` | integer or null | Share count when supplied by Pinterest. |
| `comments_disabled` | boolean or null | Comments disabled when supplied by Pinterest. |
| `aggregated_pin_id` | string or null | Pinterest aggregate ID shared by related copies of the pin. |
| `aggregated_comment_count` | integer or null | Comment count reported for the aggregated pin. |
| `aggregated_save_count` | integer or null | Save count reported for the aggregated pin. |
| `aggregated_done_count` | integer or null | Tried-it count reported for the aggregated pin. |
| `reactions` | array or null | Reactions when supplied by Pinterest. |
| `author` | object or null | Author when supplied by Pinterest. |
| `board` | object or null | Board when supplied by Pinterest. |
| `section` | object or null | Section when supplied by Pinterest. |
| `product` | object or null | Product fields when product metadata exists. Raw zero prices do not establish a free product. |

Nested field structure:

- `images[]`: `variant`, `url`, `width`, `height`, `dominant_color`.
- `videos[]`: `variant`, `url`, `width`, `height`, `duration_ms`, `thumbnail_url`.
- `reactions[]`: `type`, `count`.
- `author`: `id`, `username`, `name`, `url`, `image_url`, `image_large_url`, `is_verified`, `is_verified_merchant`, `is_private`, `follower_count`.
- `board`: `id`, `url`, `name`, `description`, `pin_count`, `follower_count`, `section_count`, `sectionless_pin_count`, `collaborator_count`, `is_collaborative`, `privacy`, `category`, `cover_image_url`, `cover_image_hd_url`, `last_modified_at`, `owner`, `images`.
- `board.owner`: `id`, `username`, `name`, `url`, `image_url`, `image_large_url`, `is_verified`, `is_verified_merchant`, `is_private`, `follower_count`.
- `board.images[]`: `variant`, `url`, `width`, `height`, `dominant_color`.
- `section`: `id`, `title`, `slug`, `description`, `pin_count`, `url`.
- `product`: `metadata_id`, `price_value_raw`, `price_currency`, `availability`, `is_out_of_stock`, `is_stale`.

The examples below use normalized public response data. Values are snapshots and may change; every top-level output field is included. Different media variants and nested objects remain inside the same row.

Complete representative success result:

```json
{
  "input": "modern kitchen",
  "status": "success",
  "page": 1,
  "query": "modern kitchen",
  "mode": "all",
  "id": "71142869302291068",
  "url": "https://www.pinterest.com/pin/71142869302291068/",
  "title": "Warm Modern Kitchen with Wood Cabinetry & Island",
  "description": "Cozy luxury kitchen with warm wood cabinetry, expansive island, soft ambient lighting, and elegant pendant lights. Neutral finishes create inviting, timeless charm perfect for stylish home design inspiration",
  "created_at": "2026-09-02T15:23:23Z",
  "link": null,
  "domain": "Uploaded by user",
  "alt_text": null,
  "auto_alt_text": "a modern kitchen with an island and bar stools",
  "seo_title": null,
  "seo_description": null,
  "seo_alt_text": "a modern kitchen with an island and bar stools",
  "dominant_color": "#977352",
  "image_url": "https://i.pinimg.com/originals/c1/ca/e6/c1cae6a0dc4753c07d855295284871bf.png",
  "images": [
    {
      "variant": "170x",
      "url": "https://i.pinimg.com/236x/c1/ca/e6/c1cae6a0dc4753c07d855295284871bf.jpg",
      "width": 236,
      "height": 354,
      "dominant_color": null
    },
    {
      "variant": "474x",
      "url": "https://i.pinimg.com/474x/c1/ca/e6/c1cae6a0dc4753c07d855295284871bf.jpg",
      "width": 474,
      "height": 712,
      "dominant_color": null
    },
    {
      "variant": "736x",
      "url": "https://i.pinimg.com/736x/c1/ca/e6/c1cae6a0dc4753c07d855295284871bf.jpg",
      "width": 736,
      "height": 1105,
      "dominant_color": null
    },
    {
      "variant": "orig",
      "url": "https://i.pinimg.com/originals/c1/ca/e6/c1cae6a0dc4753c07d855295284871bf.png",
      "width": 1023,
      "height": 1537,
      "dominant_color": null
    }
  ],
  "videos": [],
  "has_video": false,
  "is_video_raw": null,
  "is_repin": null,
  "is_promoted": false,
  "repin_count": null,
  "comment_count": null,
  "favorite_user_count": null,
  "share_count": null,
  "comments_disabled": null,
  "aggregated_pin_id": null,
  "aggregated_comment_count": null,
  "aggregated_save_count": null,
  "aggregated_done_count": null,
  "reactions": [
    {
      "type": "1",
      "count": 34
    }
  ],
  "author": {
    "id": "71143006522082483",
    "username": "karina_manafova",
    "name": "Карина Манафова",
    "url": "https://www.pinterest.com/karina_manafova/",
    "image_url": "https://i.pinimg.com/75x75_RS/39/1e/d1/391ed1648eabe1c2e59c51dd0c9d2156.jpg",
    "image_large_url": "https://i.pinimg.com/140x140_RS/39/1e/d1/391ed1648eabe1c2e59c51dd0c9d2156.jpg",
    "is_verified": null,
    "is_verified_merchant": false,
    "is_private": null,
    "follower_count": 49
  },
  "board": {
    "id": "71142937803026623",
    "url": "https://www.pinterest.com/karina_manafova/%D0%BA%D1%83%D1%85%D0%BD%D1%8F/",
    "name": "Кухня",
    "description": null,
    "pin_count": 64,
    "follower_count": null,
    "section_count": 0,
    "sectionless_pin_count": null,
    "collaborator_count": 0,
    "is_collaborative": false,
    "privacy": null,
    "category": null,
    "cover_image_url": "https://i.pinimg.com/200x150/2a/30/b5/2a30b58396263be381ae41232ab8cccd.jpg",
    "cover_image_hd_url": "https://i.pinimg.com/474x/2a/30/b5/2a30b58396263be381ae41232ab8cccd.jpg",
    "last_modified_at": "2026-09-02T15:23:24Z",
    "owner": {
      "id": "71143006522082483",
      "username": "karina_manafova",
      "name": "Карина Манафова",
      "url": "https://www.pinterest.com/karina_manafova/",
      "image_url": "https://i.pinimg.com/75x75_RS/39/1e/d1/391ed1648eabe1c2e59c51dd0c9d2156.jpg",
      "image_large_url": "https://i.pinimg.com/140x140_RS/39/1e/d1/391ed1648eabe1c2e59c51dd0c9d2156.jpg",
      "is_verified": null,
      "is_verified_merchant": false,
      "is_private": null,
      "follower_count": 49
    },
    "images": [
      {
        "variant": "236x.0",
        "url": "https://i.pinimg.com/236x/fd/80/2c/fd802c3019ad7c10c826236e31ecf6d4.jpg",
        "width": 236,
        "height": 304,
        "dominant_color": "#7A6C5D"
      },
      {
        "variant": "236x.1",
        "url": "https://i.pinimg.com/236x/8f/bf/3c/8fbf3c906a310a9d40354ec1cca165f5.jpg",
        "width": 236,
        "height": 282,
        "dominant_color": "#A59889"
      },
      {
        "variant": "236x.2",
        "url": "https://i.pinimg.com/236x/c1/ca/e6/c1cae6a0dc4753c07d855295284871bf.jpg",
        "width": 236,
        "height": 354,
        "dominant_color": "#977352"
      },
      {
        "variant": "236x.3",
        "url": "https://i.pinimg.com/236x/cb/cc/ea/cbccea7ec2c62ec94ca060bdaa276ab4.jpg",
        "width": 236,
        "height": 349,
        "dominant_color": "#B2A390"
      },
      {
        "variant": "236x.4",
        "url": "https://i.pinimg.com/236x/34/fa/66/34fa66af00fb7ed47a46d9491b21c228.jpg",
        "width": 236,
        "height": 347,
        "dominant_color": "#C5B49E"
      },
      {
        "variant": "236x.5",
        "url": "https://i.pinimg.com/236x/ac/4f/c3/ac4fc389ab13efc6b124bcbe0316bfa6.jpg",
        "width": 236,
        "height": 348,
        "dominant_color": "#D0C4B3"
      },
      {
        "variant": "236x.6",
        "url": "https://i.pinimg.com/236x/4b/d9/40/4bd9402c15176eacc79cef741e8f6eb9.jpg",
        "width": 236,
        "height": 295,
        "dominant_color": "#8C8B82"
      },
      {
        "variant": "236x.7",
        "url": "https://i.pinimg.com/236x/c7/c6/f1/c7c6f123ae720d2220e0f21fba1b6913.jpg",
        "width": 236,
        "height": 289,
        "dominant_color": "#8F857A"
      },
      {
        "variant": "236x.8",
        "url": "https://i.pinimg.com/236x/ef/ea/5c/efea5ca96502e33fb035a9b39f3f680c.jpg",
        "width": 236,
        "height": 295,
        "dominant_color": "#AEA49F"
      },
      {
        "variant": "236x.9",
        "url": "https://i.pinimg.com/236x/18/24/eb/1824eb9c72fbf573a3d2d00b4f8f1416.jpg",
        "width": 236,
        "height": 295,
        "dominant_color": "#9E948C"
      },
      {
        "variant": "236x.10",
        "url": "https://i.pinimg.com/236x/e0/aa/20/e0aa2048b2ed12a9a9758f6c457ddb04.jpg",
        "width": 236,
        "height": 419,
        "dominant_color": "#BEB7AC"
      },
      {
        "variant": "236x.11",
        "url": "https://i.pinimg.com/236x/aa/66/1c/aa661c654991aa5efdef762295c0ba19.jpg",
        "width": 236,
        "height": 238,
        "dominant_color": "#B3A69A"
      },
      {
        "variant": "236x.12",
        "url": "https://i.pinimg.com/236x/68/98/d0/6898d03384e05b6f21790630b427fad7.jpg",
        "width": 236,
        "height": 229,
        "dominant_color": "#9A8E83"
      },
      {
        "variant": "236x.13",
        "url": "https://i.pinimg.com/236x/53/a8/00/53a800066664664cce9af1cd78ba7ed0.jpg",
        "width": 236,
        "height": 295,
        "dominant_color": "#928879"
      },
      {
        "variant": "236x.14",
        "url": "https://i.pinimg.com/236x/cd/f3/54/cdf35408d8f0f5fed34b796fb6c0c345.jpg",
        "width": 236,
        "height": 234,
        "dominant_color": "#ADA298"
      }
    ]
  },
  "section": null,
  "product": null
}
```

Complete videos result:

```json
{
  "input": "modern kitchen",
  "status": "success",
  "page": 1,
  "query": "modern kitchen",
  "mode": "videos",
  "id": "655766395790242922",
  "url": "https://www.pinterest.com/pin/655766395790242922/",
  "title": "",
  "description": "Simple, warm, and made for everyday life. 🤍\n\n#unitrenderspace",
  "created_at": "2026-08-12T20:59:05Z",
  "link": "https://www.instagram.com/reel/DaftA-Rt0kk/",
  "domain": "instagram.com",
  "alt_text": null,
  "auto_alt_text": "a kitchen with marble counter tops and wooden stools next to an island in the middle",
  "seo_title": null,
  "seo_description": null,
  "seo_alt_text": "a kitchen with marble counter tops and wooden stools next to an island in the middle",
  "dominant_color": "#80644d",
  "image_url": "https://i.pinimg.com/originals/51/7f/ad/517fadae5897bfe0659b29af82f90eb0.jpg",
  "images": [
    {
      "variant": "170x",
      "url": "https://i.pinimg.com/236x/51/7f/ad/517fadae5897bfe0659b29af82f90eb0.jpg",
      "width": 236,
      "height": 418,
      "dominant_color": null
    },
    {
      "variant": "474x",
      "url": "https://i.pinimg.com/474x/51/7f/ad/517fadae5897bfe0659b29af82f90eb0.jpg",
      "width": 474,
      "height": 841,
      "dominant_color": null
    },
    {
      "variant": "736x",
      "url": "https://i.pinimg.com/736x/51/7f/ad/517fadae5897bfe0659b29af82f90eb0.jpg",
      "width": 640,
      "height": 1136,
      "dominant_color": null
    },
    {
      "variant": "orig",
      "url": "https://i.pinimg.com/originals/51/7f/ad/517fadae5897bfe0659b29af82f90eb0.jpg",
      "width": 640,
      "height": 1136,
      "dominant_color": null
    }
  ],
  "videos": [
    {
      "variant": "V_HLSV4",
      "url": "https://v1.pinimg.com/videos/iht/hls/16/9e/3d/169e3d7b0c992f967ae1644d8cf05c36.m3u8",
      "width": 720,
      "height": 1280,
      "duration_ms": 5042,
      "thumbnail_url": "https://i.pinimg.com/videos/thumbnails/originals/16/9e/3d/169e3d7b0c992f967ae1644d8cf05c36.0000000.jpg"
    },
    {
      "variant": "V_HLSV3_MOBILE",
      "url": "https://v1.pinimg.com/videos/iht/hls/16/9e/3d/169e3d7b0c992f967ae1644d8cf05c36.m3u8",
      "width": 720,
      "height": 1280,
      "duration_ms": 5042,
      "thumbnail_url": "https://i.pinimg.com/videos/thumbnails/originals/16/9e/3d/169e3d7b0c992f967ae1644d8cf05c36.0000000.jpg"
    }
  ],
  "has_video": true,
  "is_video_raw": null,
  "is_repin": null,
  "is_promoted": false,
  "repin_count": null,
  "comment_count": null,
  "favorite_user_count": null,
  "share_count": null,
  "comments_disabled": null,
  "aggregated_pin_id": null,
  "aggregated_comment_count": null,
  "aggregated_save_count": null,
  "aggregated_done_count": null,
  "reactions": [
    {
      "type": "1",
      "count": 41
    }
  ],
  "author": {
    "id": "655766533150203732",
    "username": "unitrenderspace",
    "name": "UnitRenderSpace",
    "url": "https://www.pinterest.com/unitrenderspace/",
    "image_url": "https://i.pinimg.com/75x75_RS/32/fd/37/32fd379107983c5d1c2e3c4c42cae220.jpg",
    "image_large_url": "https://i.pinimg.com/140x140_RS/32/fd/37/32fd379107983c5d1c2e3c4c42cae220.jpg",
    "is_verified": null,
    "is_verified_merchant": false,
    "is_private": null,
    "follower_count": 2487
  },
  "board": {
    "id": "655766464432337999",
    "url": "https://www.pinterest.com/unitrenderspace/_tpd_social/",
    "name": "Social",
    "description": null,
    "pin_count": 9505,
    "follower_count": null,
    "section_count": 0,
    "sectionless_pin_count": null,
    "collaborator_count": 0,
    "is_collaborative": false,
    "privacy": null,
    "category": null,
    "cover_image_url": "https://i.pinimg.com/200x150/13/95/30/13953023399ba172939a3f2e2d82022c.jpg",
    "cover_image_hd_url": "https://i.pinimg.com/474x/13/95/30/13953023399ba172939a3f2e2d82022c.jpg",
    "last_modified_at": "2026-09-10T14:13:40Z",
    "owner": {
      "id": "655766533150203732",
      "username": "unitrenderspace",
      "name": "UnitRenderSpace",
      "url": "https://www.pinterest.com/unitrenderspace/",
      "image_url": "https://i.pinimg.com/75x75_RS/32/fd/37/32fd379107983c5d1c2e3c4c42cae220.jpg",
      "image_large_url": "https://i.pinimg.com/140x140_RS/32/fd/37/32fd379107983c5d1c2e3c4c42cae220.jpg",
      "is_verified": null,
      "is_verified_merchant": false,
      "is_private": null,
      "follower_count": 2487
    },
    "images": [
      {
        "variant": "236x.0",
        "url": "https://i.pinimg.com/236x/b5/23/1e/b5231e619f6cb1b5de5db994bf3cb1b0.jpg",
        "width": 236,
        "height": 295,
        "dominant_color": "#F0F0F0"
      },
      {
        "variant": "236x.1",
        "url": "https://i.pinimg.com/236x/19/11/14/1911141251cb91fd6bec3d1a2c41366f.jpg",
        "width": 236,
        "height": 294,
        "dominant_color": "#F0F0F0"
      },
      {
        "variant": "236x.2",
        "url": "https://i.pinimg.com/236x/b9/a4/e0/b9a4e0e498b76b68f1870462d05a075c.jpg",
        "width": 236,
        "height": 314,
        "dominant_color": "#383420"
      },
      {
        "variant": "236x.3",
        "url": "https://i.pinimg.com/236x/d5/1f/8e/d51f8e7977d362704d4539a2aeb680c0.jpg",
        "width": 236,
        "height": 288,
        "dominant_color": "#AA9889"
      },
      {
        "variant": "236x.4",
        "url": "https://i.pinimg.com/236x/76/4c/9a/764c9ad36875df52cace9aed49267d09.jpg",
        "width": 236,
        "height": 314,
        "dominant_color": "#373B33"
      },
      {
        "variant": "236x.5",
        "url": "https://i.pinimg.com/236x/04/56/95/0456951e9ef25646af6bd15afd34252a.jpg",
        "width": 236,
        "height": 294,
        "dominant_color": "#8B7E72"
      },
      {
        "variant": "236x.6",
        "url": "https://i.pinimg.com/236x/46/41/f1/4641f17f7382905be028aef30a268c4e.jpg",
        "width": 236,
        "height": 294,
        "dominant_color": "#9B928A"
      },
      {
        "variant": "236x.7",
        "url": "https://i.pinimg.com/236x/ed/57/d2/ed57d2c8da7922b78ad39a9dab06d256.jpg",
        "width": 236,
        "height": 314,
        "dominant_color": "#2B2820"
      },
      {
        "variant": "236x.8",
        "url": "https://i.pinimg.com/236x/ac/68/ec/ac68ecd56d03e65e88a89c90e201dbbb.jpg",
        "width": 236,
        "height": 314,
        "dominant_color": "#D0C1B1"
      },
      {
        "variant": "236x.9",
        "url": "https://i.pinimg.com/236x/56/6d/75/566d75f73cc258a48cbb5d494f57d7f1.jpg",
        "width": 236,
        "height": 314,
        "dominant_color": "#252A1E"
      },
      {
        "variant": "236x.10",
        "url": "https://i.pinimg.com/236x/a8/f4/8d/a8f48d5d3cedfe96f1afa906471029ef.jpg",
        "width": 236,
        "height": 314,
        "dominant_color": "#9D775A"
      },
      {
        "variant": "236x.11",
        "url": "https://i.pinimg.com/236x/04/02/3f/04023f98bcf99e5c1be2b8245576e8cb.jpg",
        "width": 236,
        "height": 294,
        "dominant_color": "#B5A294"
      },
      {
        "variant": "236x.12",
        "url": "https://i.pinimg.com/236x/38/ad/4f/38ad4fb1bddd8264e31bafdae386b4eb.jpg",
        "width": 236,
        "height": 314,
        "dominant_color": "#AC8058"
      },
      {
        "variant": "236x.13",
        "url": "https://i.pinimg.com/236x/36/51/88/3651888baf94b1ece6f17f8cc43bb109.jpg",
        "width": 236,
        "height": 294,
        "dominant_color": "#CAAE8F"
      },
      {
        "variant": "236x.14",
        "url": "https://i.pinimg.com/236x/8c/86/8c/8c868ca145d8920dc295a6528607e92d.jpg",
        "width": 236,
        "height": 294,
        "dominant_color": "#A18C79"
      }
    ]
  },
  "section": null,
  "product": null
}
```

Complete failed dataset item:

```json
{
  "input": "invalid input",
  "status": "failed",
  "page": null,
  "query": null,
  "mode": null,
  "id": null,
  "url": null,
  "title": null,
  "description": null,
  "created_at": null,
  "link": null,
  "domain": null,
  "alt_text": null,
  "auto_alt_text": null,
  "seo_title": null,
  "seo_description": null,
  "seo_alt_text": null,
  "dominant_color": null,
  "image_url": null,
  "images": null,
  "videos": null,
  "has_video": null,
  "is_video_raw": null,
  "is_repin": null,
  "is_promoted": null,
  "repin_count": null,
  "comment_count": null,
  "favorite_user_count": null,
  "share_count": null,
  "comments_disabled": null,
  "aggregated_pin_id": null,
  "aggregated_comment_count": null,
  "aggregated_save_count": null,
  "aggregated_done_count": null,
  "reactions": null,
  "author": null,
  "board": null,
  "section": null,
  "product": null
}
```

A failed row preserves `input`, sets `status` to `failed`, and sets every other top-level field to `null`. The reason is written to the run log. Optional successful values remain null or empty when Pinterest omits them. The single dataset view exposes object fields as useful columns; arrays are kept in their parent row rather than expanded into additional rows or views.

### Input and pagination settings ⚙️

| Parameter | Type | Required | Default | Rules |
|---|---|---|---|---|
| `inputList` | array of strings | Yes | None | Enter keyword queries or canonical Pinterest /search/pins/?q= or /search/videos/?q= URLs. A search URL selects its own mode; plain text uses Mode. |
| `mode` | string | No | `"all"` | Mode for plain keyword inputs. A Pinterest search URL selects the mode indicated in its path. Allowed: `all`, `videos`. |
| `pagesPerSearch` | integer | No | `1` | Maximum result pages per input. Website page sizes vary; short pages can still have a continuation. Preparation requests do not count as result pages. Minimum `1`. |

Enter nonblank search phrases or canonical Pinterest /search/pins/?q= or /search/videos/?q= links. Plain text uses the selected mode; a search URL uses the mode in its own path. Use Pin Scraper when you already know the exact publication.

Use canonical HTTPS links on `www.pinterest.com` or `pinterest.com`. Country-specific hosts, shortened `pin.it` links and unsupported paths are not accepted. Search inputs must contain a nonblank query of at most 1,000 characters. A matching canonical Pinterest search URL with one `q` parameter is also accepted.

Duplicate normalized inputs are processed once. A returned identifier is deduplicated within the pagination of one source input; the same object found under different source inputs retains each source relationship.

The first result request counts as page 1. Source validation and preparation requests do not consume result pages. A short or filtered page can continue if it supplies a usable cursor. Collection stops at the page budget or the end of pagination; a repeated cursor does not trigger an endless loop.

### Pinterest pin search results use cases 🎯

#### Visual reference discovery

Search a design or product theme and review images, titles and original pin links. Keep source references when selecting materials for your own research.

#### Source website research

Collect outgoing links and domains from a topic sample. Review the linked websites separately before adding them to a qualified source list.

#### Video content research

Use video search to collect playback references and descriptions around a topic. The export supports a media inventory without downloading video files.

### Pricing and saved-result behavior 💰

Check the Actor’s **Pricing** tab for the active charging model and current rate. Store settings may change, so this README does not state an unverified fixed price or runtime.

Under dataset-item pricing:

- Each unique success result represents one pin for its source input.
- An invalid or unavailable input, an input with no accessible results, or a request that exhausts retries can produce a `failed` row.
- Retry attempts and supporting metadata requests do not create extra dataset rows by themselves.
- Nested media, author and source fields stay inside their parent result.
- A normal empty continuation after earlier successes creates no additional result row.
- Saved failed rows are not assumed to be free. Check the active pricing configuration for their treatment.

Larger page budgets and more inputs can produce more saved rows. Start with a small run and check actual usage before increasing the workload.

### Pinterest pin search results API 🔌

Replace `$ACTOR_ID` with the identifier shown in this Actor’s **API** tab and `$APIFY_TOKEN` with your Apify token.

```bash
curl -X POST "https://api.apify.com/v2/acts/$ACTOR_ID/runs?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"inputList":["modern kitchen"],"mode":"all","pagesPerSearch":1}'
```

Download JSON, CSV, Excel, XML or other formats available in the Console, or retrieve the dataset through the Apify API. Schedules, webhooks and Apify integrations can connect results to Google Sheets, Make, Zapier, n8n, cloud storage or your own backend. These are connection options rather than integrations already configured by the Actor.

### Reliability, retries, and public-data limits ⚠️

Collection uses pure HTTP with up to five concurrent requests. Invalid syntax and confirmed missing, removed or inaccessible targets stop without unnecessary retries. Temporary network or proxy failures, timeouts, blocking responses, malformed data, throttling and server errors are retried up to five total attempts per request.

Earlier successful pages remain saved when a later request fails. A normal end after previously saved results is not retried. An input that produces no accessible results can receive a failed row; this does not by itself prove the underlying account or collection does not exist. A later exhausted request can append a failed row while keeping earlier output.

Pinterest controls public availability, ranking, fields and pagination. Private, deleted, restricted or otherwise unavailable data can be omitted. Counts can change during collection, and media links can expire. Successful HTTP research confirms the supported request paths and pagination on tested sources, rather than future availability or exhaustive coverage.

Search returns a ranked sample of matching pins, not every pin related to a topic. Search rows can contain fewer details than a dedicated pin lookup. Video results may expose HLS playlists rather than a direct MP4, and media files are not downloaded.

An invalid string within a valid input list does not stop other inputs. A configuration that fails validation, such as a non-string list item or an invalid page-count type, exits before requests start. Infrastructure errors such as startup failure, unavailable dataset storage or an unrecoverable result-save error can stop the whole run. A failed dataset save is not retried as a new scraping request.

### Frequently asked questions ❓

#### Can I search only for videos?

Yes. Select the video search option before starting the run. Returned video variants depend on what Pinterest exposes for each result.

#### Does it search inside a specific profile or board?

This Actor searches Pinterest by keyword. Use Profile Pins Scraper or Board Pins Scraper for a known account or collection.

#### Does it return an exact number of pins?

No. You choose pages per query. Search ranking, duplicates, unavailable pins and variable page sizes affect the saved total.

#### Does it require Pinterest login or personal cookies?

No. The Actor uses HTTP requests from the public website. It does not require a Pinterest account, password or personal session cookie, and does not launch a browser.

#### What happens to invalid or unavailable inputs?

Invalid individual inputs are saved as failed rows without a source request. Confirmed unavailable targets stop without unnecessary retries. Temporary failures allow up to five total attempts; other inputs and previously saved results remain available.

#### Can I export results or schedule runs?

Yes. Download the default dataset in supported formats or retrieve it through the Apify API. Apify schedules and completion webhooks can connect repeated runs to your own workflow.

### Support, responsible use, and related actors 🛟

For a reproducible issue, use the Actor’s **Issues** tab and provide the run ID, approximate time, safe public input, expected behavior and actual result. Include the selected mode or page count when applicable. Do not share access tokens, cookies or proxy credentials.

Use public data responsibly and follow applicable privacy, copyright, contractual and platform requirements before storing, analyzing or redistributing collected information.

# Actor input Schema

## `inputList` (type: `array`):

Enter keyword queries or canonical Pinterest /search/pins/?q= or /search/videos/?q= URLs. A search URL selects its own mode; plain text uses Mode.

## `mode` (type: `string`):

Mode for plain keyword inputs. A Pinterest search URL selects the mode indicated in its path.

## `pagesPerSearch` (type: `integer`):

Maximum result pages per input. Website page sizes vary; short pages can still have a continuation. Preparation requests do not count as result pages.

## Actor input object example

```json
{
  "inputList": [
    "modern kitchen"
  ],
  "mode": "all",
  "pagesPerSearch": 1
}
```

# Actor output Schema

## `pins` (type: `string`):

Individual result rows. Failed rows retain the input and status.

# 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 = {
    "inputList": [
        "modern kitchen"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapingmonkey/pinterest-pin-search-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 = { "inputList": ["modern kitchen"] }

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

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

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

```

## CLI example

```bash
echo '{
  "inputList": [
    "modern kitchen"
  ]
}' |
apify call scrapingmonkey/pinterest-pin-search-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapingmonkey/pinterest-pin-search-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/1rUesUOu2c9KNzuLP/builds/gg6L40A4fSq4aTmxR/openapi.json