Pinterest Scraper — Pins, Boards, Profiles & Search

Scrape Pinterest without logging in: search results, boards, user profiles and single pins. Every pin comes with its full-size image URL, title, description, alt text, outbound link and domain, save count, reactions, comment count, creation date, video URL, pinner and board — and profile rows include followers, following, monthly views, pin and board counts, website and bio.

The actor uses the same JSON resources as pinterest.com itself, so it doesn't need a browser.

Features

• All entry points: keywords, profile URLs, board URLs, pin URLs or plain usernames.
• Outbound links & saves for every pin (scrapePinDetails) — the data you need for e-commerce and content research.
• Profile analytics: followers and monthly views for influencer and brand research.
• Deduplicated across sources; full-resolution originals images.
• Pay per result: $2 per 1,000 pins or profiles.

Use cases

• E-commerce & dropshipping research: which products and shops get saved most for a keyword (link, domain, saves).
• Content & trend research for marketers and designers.
• Influencer discovery: profiles with followers, monthly views and website.
• Competitor monitoring: a brand's latest pins and boards.
• Image datasets with titles, descriptions and alt texts.

Input

{
  "searchQueries": ["modern kitchen", "wedding cake"],
  "startUrls": [
    "https://www.pinterest.com/marthastewart/",
    "https://www.pinterest.com/marthastewart/letscelebrate-pin-party/",
    "https://www.pinterest.com/pin/18999629667015418/"
  ],
  "maxPinsPerSource": 200,
  "scrapePinDetails": true,
  "includeProfiles": true
}

Output — pin (type: "pin")

Real output (default input)

First 2 of 41 records from a run with the prefilled input (7.0 s on a test machine; long values shortened here):

[
  {
    "type": "profile",
    "username": "marthastewart",
    "url": "https://www.pinterest.com/marthastewart/",
    "fullName": "Martha Stewart",
    "about": "Daily recipes, crafts, and inspiration from Martha Stewart.",
    "websiteUrl": "http://marthastewart.com",
    "domainVerified": true,
    "followers": 1868070,
    "following": 322,
    "pinCount": 105545,
    "boardCount": 174,
    "monthlyViews": 10000001,
    "isVerifiedMerchant": false,
    "country": null,
    "avatar": "https://i.pinimg.com/280x280_RS/c8/11/4c/c8114c783347e27daef00e5d4a6ac4f3.jpg",
    "userId": "32088353503445352",
    "source": "https://www.pinterest.com/marthastewart/",
    "scrapedAt": "2026-10-15T12:13:47.466Z"
  },
  {
    "type": "pin",
    "pinId": "47921183531617924",
    "url": "https://www.pinterest.com/pin/47921183531617924/",
    "title": null,
    "description": null,
    "altText": "an image of a kitchen setting with two stools in front of the counter top",
    "link": null,
    "domain": null,
    "image": "https://i.pinimg.com/originals/a0/73/b8/a073b811a0c08c39abf7c6770b85b458.png",
    "imageWidth": 1125,
    "imageHeight": 1704,
    "dominantColor": "#7f705a",
    "isVideo": false,
    "videoUrl": null,
    "saves": 2115,
    "reactions": 90,
    "commentCount": 0,
    "createdAt": "2026-09-20T17:45:51.000Z",
    "isPromoted": false,
    "pinnerUsername": "beaudry0287",
    "pinnerName": "Ghyslain Beaudry",
    "pinnerFollowers": 12,
    "boardName": "NOVAVI",
    "boardUrl": "https://www.pinterest.com/beaudry0287/novavi/",
    "source": "modern kitchen",
    "scrapedAt": "2026-10-15T12:13:48.238Z"
  }
]

{
  "type": "pin",
  "pinId": "18999629667015418",
  "url": "https://www.pinterest.com/pin/18999629667015418/",
  "title": "This is Exactly How to Host an Easy Dinner Party in 6 steps",
  "description": null,
  "altText": "a dinner table set with plates and candles",
  "link": "https://celebrationsathomeblog.com/host-a-laid-back-dinner-party-with-6-easy-steps/",
  "domain": "celebrationsathomeblog.com",
  "image": "https://i.pinimg.com/originals/…jpg",
  "imageWidth": 1000,
  "imageHeight": 1500,
  "dominantColor": "#7f705a",
  "isVideo": false,
  "videoUrl": null,
  "saves": 2201,
  "reactions": 76,
  "commentCount": 0,
  "createdAt": "2021-04-17T18:48:36.000Z",
  "isPromoted": false,
  "pinnerUsername": "marthastewart",
  "pinnerName": "Martha Stewart",
  "pinnerFollowers": 1868076,
  "boardName": "#LetsCelebrate Pin Party",
  "boardUrl": "https://www.pinterest.com/marthastewart/letscelebrate-pin-party/",
  "source": "https://www.pinterest.com/marthastewart/letscelebrate-pin-party/"
}

Output — profile (type: "profile")

{
  "type": "profile",
  "username": "marthastewart",
  "url": "https://www.pinterest.com/marthastewart/",
  "fullName": "Martha Stewart",
  "about": "Daily recipes, crafts, and inspiration from Martha Stewart.",
  "websiteUrl": "http://marthastewart.com",
  "domainVerified": true,
  "followers": 1868076,
  "following": 322,
  "pinCount": 105532,
  "boardCount": 174,
  "monthlyViews": 10000001
}

Use the Pins and Profiles dataset views to export each type.

Use with AI agents (MCP), LangChain, RAG & the API

This actor is a ready-made tool for AI agents: an LLM can call it, wait for the run and read clean JSON back.

MCP server (Claude Desktop, Claude Code, Cursor, VS Code, any MCP client) — add Apify's hosted MCP server with this actor enabled as a tool:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=murch1k/pinterest-scraper",
      "headers": { "Authorization": "Bearer <APIFY_TOKEN>" }
    }
  }
}

LangChain / LangGraph (pip install langchain-apify, set APIFY_API_TOKEN):

import json
from langchain_apify import ApifyActorsTool, ApifyWrapper
from langchain_core.documents import Document

# 1) give the actor to an agent as a tool
tool = ApifyActorsTool("murch1k/pinterest-scraper")

# 2) or load results as Documents for a RAG index
loader = ApifyWrapper().call_actor(
    actor_id="murch1k/pinterest-scraper",
    run_input={"searchQueries": ["modern kitchen", "wedding cake"], "startUrls": ["https://www.pinterest.com/marthastewart/", "https://www.pinterest.com/marthastewart/letscelebrate-pin-party/", "https://www.pinterest.com/pin/18999629667015418/"], "maxPinsPerSource": 200, "scrapePinDetails": True, "includeProfiles": True},
    dataset_mapping_function=lambda item: Document(page_content=json.dumps(item, ensure_ascii=False), metadata={"url": item.get("url")}),
)
docs = loader.load()

REST API — one synchronous call, dataset items in the response:

curl -X POST "https://api.apify.com/v2/acts/murch1k~pinterest-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["modern kitchen", "wedding cake"], "startUrls": ["https://www.pinterest.com/marthastewart/", "https://www.pinterest.com/marthastewart/letscelebrate-pin-party/", "https://www.pinterest.com/pin/18999629667015418/"], "maxPinsPerSource": 200, "scrapePinDetails": true, "includeProfiles": true}'

Also works with the Apify Python/JS clients, Make, Zapier, n8n, Google Sheets, webhooks and schedules. Export as JSON, CSV, Excel, XML or RSS.

RAG tip: Use title, description and outbound link of pins to let an agent map trending products and content ideas for a niche.

Pricing

• $2.00 per 1,000 results ($0.002 per result).
• The prefilled input returns 41 results → $0.082.
• Example: 1,000 results → $2.00; 10,000 → $20.00. Set Max results (cost cap) to limit any run.

Limitations

• Only public pins, boards and profiles are collected. Private boards and secret pins are not accessible.
• Pinterest reports monthly views above 10M as "10M+".

FAQ

Do I need a Pinterest login? No. Only public pins, boards and profiles are collected.

Can I get the outbound link of each pin? Yes. Turn on scrapePinDetails for outbound links and save counts.

Does it download full-size images? It returns the full-resolution originals image URL for every pin.