# Pinterest Scraper — Pins, Boards, Profiles & Search (`codecrawler/pinterest-scraper`) Actor Extract comprehensive data from Pinterest: pins, boards, creator profiles, keyword search results, trending boards, and engagement metrics. - **URL**: https://apify.com/codecrawler/pinterest-scraper.md - **Developed by:** [CodeCrawler](https://apify.com/codecrawler) (community) - **Categories:** Social media, E-commerce, Lead generation - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.20 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use 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 Scraper — Apify Actor Extract structured data from Pinterest at scale: **pins, boards, user profiles, keyword searches, and trending content** — all with engagement metrics. Built with **Crawlee + Playwright + Apify SDK**. --- ### ✨ Features | Feature | Description | |---------|-------------| | 🖼️ **Pin Extraction** | Get pin details: images, videos, descriptions, links, creator info | | 📋 **Board Scraping** | Extract board metadata + all pins within a board | | 👤 **User Profiles** | Full profile data: bio, stats, boards, recent pins | | 🔍 **Keyword Search** | Search Pinterest by keyword with automatic pagination | | 🔥 **Trending/Discovery** | Get trending boards and popular content | | 📊 **Engagement Metrics** | Saves, comments, reactions, followers, monthly views | | 🔄 **Auto-Pagination** | Follows bookmark cursors until hitting your configured limit | | 🛡️ **Anti-Detection** | Session rotation, browser fingerprinting, residential proxies | --- ### 🚀 Quick Start #### On Apify Platform 1. Go to [Apify Store](https://apify.com/store) and find **Pinterest Scraper** 2. Click **Try for free** 3. Configure your input (see below) 4. Run and download results #### Locally ```bash ## Clone and install cd pinterest-scraper npm install ## Create input file cat > ./storage/key_value_stores/default/INPUT.json << 'EOF' { "keywords": ["minimalist interior design"], "maxResultsPerEndpoint": 50 } EOF ## Run npm start ```` *** ### 📥 Input Configuration | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `urls` | `string[]` | `[]` | Direct Pinterest URLs (pins, boards, profiles) | | `keywords` | `string[]` | `[]` | Search queries | | `usernames` | `string[]` | `[]` | Usernames to extract profiles | | `boards` | `string[]` | `[]` | Board paths (`username/board-name`) | | `maxResultsPerEndpoint` | `integer` | `1000` | Max results per keyword/user/board | | `includeEngagementMetrics` | `boolean` | `true` | Include saves, comments, followers | | `outputFormat` | `string` | `"json"` | Output format: `json`, `csv`, `jsonl` | | `proxyUrl` | `string` | `""` | Custom proxy URL (optional) | | `cookies` | `string[]` | `[]` | Pre-set session cookies (optional) | #### Example Input ```json { "urls": [ "https://www.pinterest.com/pin/123456789/", "https://www.pinterest.com/nike/" ], "keywords": ["fashion trends 2025", "home office ideas"], "usernames": ["nike", "wholefoodsmarket"], "boards": ["nike/just-do-it"], "maxResultsPerEndpoint": 500, "includeEngagementMetrics": true, "outputFormat": "json" } ``` *** ### 📤 Output Format #### Pin ```json { "id": "123456789", "type": "pin", "title": "Summer Outfit Ideas", "description": "Perfect summer looks for 2025...", "link": "https://example.com/article", "url": "https://www.pinterest.com/pin/123456789/", "dominantColor": "#e8d5b7", "images": { "small": "https://i.pinimg.com/236x/...", "medium": "https://i.pinimg.com/474x/...", "large": "https://i.pinimg.com/736x/...", "original": "https://i.pinimg.com/originals/..." }, "video": null, "creator": { "id": "987654321", "username": "fashionbrand", "fullName": "Fashion Brand Official", "avatarUrl": "https://..." }, "board": { "id": "111222333", "name": "Summer Collection", "url": "/fashionbrand/summer-collection/" }, "engagement": { "saves": 15420, "comments": 234, "reactions": {} }, "metadata": { "createdAt": "2025-06-15T10:30:00Z", "isPromoted": false, "isVideo": false, "isShoppable": true, "domain": "example.com", "richMetadata": null }, "scrapedAt": "2025-07-05T06:00:00Z" } ``` #### Board ```json { "id": "111222333", "type": "board", "name": "Summer Collection", "description": "Our best summer looks", "url": "https://www.pinterest.com/fashionbrand/summer-collection/", "privacy": "public", "owner": { "id": "987654321", "username": "fashionbrand", "fullName": "Fashion Brand Official" }, "engagement": { "pinCount": 342, "followerCount": 12500, "collaboratorCount": 0 }, "pins": [ ... ] } ``` #### User Profile ```json { "id": "987654321", "type": "user", "username": "fashionbrand", "fullName": "Fashion Brand Official", "bio": "Inspiring style since 2010", "profileUrl": "https://www.pinterest.com/fashionbrand/", "avatarUrl": "https://...", "engagement": { "followerCount": 250000, "followingCount": 120, "pinCount": 5430, "boardCount": 28, "monthlyViews": 1500000 }, "boards": [ ... ], "recentPins": [ ... ] } ``` *** ### 🏗️ Architecture ``` pinterest-scraper/ ├── apify.json # Actor manifest & input schema ├── Dockerfile # node:20 + Playwright + Chromium ├── package.json ├── README.md ├── INPUT_SCHEMA.md └── src/ ├── index.js # Entry point — orchestrator ├── config.js # API endpoints, headers, rate limits ├── controllers/ │ ├── pinController.js # Pin extraction │ ├── boardController.js # Board metadata + pin listing │ ├── userController.js # User profiles + boards + pins │ └── searchController.js # Search, trending, discovery └── utils/ ├── httpClient.js # Authenticated HTTP client └── parser.js # Response normalization ``` #### Data Flow ``` Input (URLs/keywords/usernames/boards) │ ▼ PlaywrightCrawler → Visit pinterest.com → Extract cookies + CSRF │ ▼ PinterestHttpClient (authenticated fetch) │ ├──▶ PinController → /resource/PinResource/get/ ├──▶ BoardController → /resource/BoardResource/get/ ├──▶ UserController → /resource/UserResource/get/ └──▶ SearchController → /resource/BaseSearchResource/get/ │ ▼ Parser (normalize JSON) → Apify Dataset ``` *** ### ⚙️ Technical Details #### Authentication The Actor uses Playwright to visit Pinterest and obtain session cookies + CSRF token automatically. Optionally, you can provide pre-set cookies in the input for faster startup. #### Rate Limiting - **40 requests/minute** (configurable) - **1.5 second** delay between API calls - **3 retries** on failure with exponential backoff - Max concurrency: **5** parallel requests #### Pagination All Pinterest endpoints use bookmark-based cursor pagination. The Actor follows cursors until results are exhausted or the `maxResultsPerEndpoint` limit is reached. #### Proxy Strategy - Uses Apify residential proxies by default when running on the platform - Supports custom proxy URLs for self-hosted runs - Session rotation on proxy failures *** ### 💰 Pricing Estimate | Volume | Est. Cost | Notes | |--------|-----------|-------| | 100 results | ~$0.20 | Quick test | | 1,000 results | ~$1.99 | Standard run | | 10,000 results | ~$15 | Large extraction | | 100,000 results | ~$120 | Enterprise batch | *Costs depend on proxy usage, compute time, and Apify plan.* *** ### 📋 Limitations - Pinterest may change internal API endpoints without notice - Anonymous sessions have lower rate limits than authenticated ones - Video content URLs may expire after a few hours - Some promoted/ad pins may have limited metadata *** ### 📄 License ISC # Actor input Schema ## `urls` (type: `array`): Direct URLs to Pinterest pins, boards, or user profiles to scrape. ## `keywords` (type: `array`): Keywords to search on Pinterest. Returns pins matching each keyword. ## `usernames` (type: `array`): Pinterest usernames to extract full profiles (boards + recent pins). ## `boards` (type: `array`): Board paths in 'username/board-name' format to extract board data + pins. ## `maxResultsPerEndpoint` (type: `integer`): Maximum number of results to extract per keyword, user, or board. ## `includeEngagementMetrics` (type: `boolean`): Include saves, comments, reactions, and follower counts in the output. ## `outputFormat` (type: `string`): Format of the output dataset. ## `proxyUrl` (type: `string`): Optional proxy URL. If empty, the Actor uses Apify's automatic proxy. ## `cookies` (type: `array`): Optional pre-set cookie strings for authentication. If empty, the Actor will create a fresh anonymous session. ## Actor input object example ```json { "urls": [ "https://www.pinterest.com/pin/424605071145421203/", "https://www.pinterest.com/pinterest/ideas-for-your-summer-escape/", "https://www.pinterest.com/pinterest/" ], "keywords": [ "fashion trends 2025", "interior design minimalist" ], "usernames": [ "pinterest", "nike", "target" ], "boards": [ "pinterest/ideas-for-your-summer-escape", "pinterest/spice-up-your-dinner-plans" ], "maxResultsPerEndpoint": 1000, "includeEngagementMetrics": true, "outputFormat": "json", "proxyUrl": "", "cookies": [] } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "urls": [ "https://www.pinterest.com/pin/424605071145421203/", "https://www.pinterest.com/pinterest/ideas-for-your-summer-escape/", "https://www.pinterest.com/pinterest/" ], "keywords": [ "fashion trends 2025", "interior design minimalist" ], "usernames": [ "pinterest", "nike", "target" ], "boards": [ "pinterest/ideas-for-your-summer-escape", "pinterest/spice-up-your-dinner-plans" ] }; // Run the Actor and wait for it to finish const run = await client.actor("codecrawler/pinterest-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "urls": [ "https://www.pinterest.com/pin/424605071145421203/", "https://www.pinterest.com/pinterest/ideas-for-your-summer-escape/", "https://www.pinterest.com/pinterest/", ], "keywords": [ "fashion trends 2025", "interior design minimalist", ], "usernames": [ "pinterest", "nike", "target", ], "boards": [ "pinterest/ideas-for-your-summer-escape", "pinterest/spice-up-your-dinner-plans", ], } # Run the Actor and wait for it to finish run = client.actor("codecrawler/pinterest-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 '{ "urls": [ "https://www.pinterest.com/pin/424605071145421203/", "https://www.pinterest.com/pinterest/ideas-for-your-summer-escape/", "https://www.pinterest.com/pinterest/" ], "keywords": [ "fashion trends 2025", "interior design minimalist" ], "usernames": [ "pinterest", "nike", "target" ], "boards": [ "pinterest/ideas-for-your-summer-escape", "pinterest/spice-up-your-dinner-plans" ] }' | apify call codecrawler/pinterest-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=codecrawler/pinterest-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Scraper — Pins, Boards, Profiles & Search", "description": "Extract comprehensive data from Pinterest: pins, boards, creator profiles, keyword search results, trending boards, and engagement metrics.", "version": "0.0", "x-build-id": "94xsa370RaEXNrfxe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/codecrawler~pinterest-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-codecrawler-pinterest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/codecrawler~pinterest-scraper/runs": { "post": { "operationId": "runs-sync-codecrawler-pinterest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/codecrawler~pinterest-scraper/run-sync": { "post": { "operationId": "run-sync-codecrawler-pinterest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "urls": { "title": "Pinterest URLs", "type": "array", "description": "Direct URLs to Pinterest pins, boards, or user profiles to scrape.", "items": { "type": "string" }, "default": [] }, "keywords": { "title": "Search Keywords", "type": "array", "description": "Keywords to search on Pinterest. Returns pins matching each keyword.", "items": { "type": "string" }, "default": [] }, "usernames": { "title": "User Profiles", "type": "array", "description": "Pinterest usernames to extract full profiles (boards + recent pins).", "items": { "type": "string" }, "default": [] }, "boards": { "title": "Board Paths", "type": "array", "description": "Board paths in 'username/board-name' format to extract board data + pins.", "items": { "type": "string" }, "default": [] }, "maxResultsPerEndpoint": { "title": "Max Results Per Endpoint", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of results to extract per keyword, user, or board.", "default": 1000 }, "includeEngagementMetrics": { "title": "Include Engagement Metrics", "type": "boolean", "description": "Include saves, comments, reactions, and follower counts in the output.", "default": true }, "outputFormat": { "title": "Output Format", "enum": [ "json", "csv", "jsonl" ], "type": "string", "description": "Format of the output dataset.", "default": "json" }, "proxyUrl": { "title": "Proxy URL", "type": "string", "description": "Optional proxy URL. If empty, the Actor uses Apify's automatic proxy.", "default": "" }, "cookies": { "title": "Session Cookies", "type": "array", "description": "Optional pre-set cookie strings for authentication. If empty, the Actor will create a fresh anonymous session.", "items": { "type": "string" }, "default": [] } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```