# Pinterest Scraper — Pins, Boards & Users (`hipersoft/pinterest-scraper`) Actor Search Pinterest and scrape pins (title, description, destination link, image, pinner, board, saves), boards and users. Fast, no login or API key. For visual research, e-commerce, trend and marketing analysis. - **URL**: https://apify.com/hipersoft/pinterest-scraper.md - **Developed by:** [hiper soft](https://apify.com/hipersoft) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.0024 / item scraped 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. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 — Pins, Boards & Users, No Login Search Pinterest and pull pins, boards, or users into clean structured JSON: pin title, description, destination link, image, pinner, board, and reactions — plus board and user stats. Just give it search terms and pick a scope. No login, no API key. Built for visual research, e-commerce sourcing, trend spotting, and marketing analysis. ### Features - 📌 **Rich pin records** — `title`, `description`, `link`, `domain`, `imageUrl`, `pinner`, `boardName`, and `boardUrl`. - 🎯 **Three scopes** — set `scope` to pins, boards, or users to control what each search returns. - 🖼️ **Media details** — `isVideo`, `dominantColor`, and `altText` for visual and accessibility context. - 📊 **Board & user stats** — boards return `pinCount` and `followerCount`; users return `followerCount`, `followingCount`, and `pinCount`. - ❤️ **Reactions** — `reactionCount` aggregates a pin's reactions from the search response. - 🔁 **Multi-term search** — pass several `searches` and collect up to 1000 items per term. - 🌐 **Residential proxy by default** — session-rotated for reliable access. ### What you get Each pin is one clean JSON record: ```json { "type": "pin", "id": "1234567890", "title": "Cozy living room ideas", "description": "Warm neutral tones with layered textures", "link": "https://example.com/living-room", "domain": "example.com", "imageUrl": "https://i.pinimg.com/originals/ab/cd/ef.jpg", "pinner": "homestyle", "pinnerName": "Home Style", "boardName": "Living Room Decor", "boardUrl": "https://www.pinterest.com/homestyle/living-room-decor/", "reactionCount": 42, "isVideo": false, "dominantColor": "#c9b8a3", "altText": "Neutral living room with a beige sofa", "createdAt": "Tue, 20 May 2026 10:12:00 +0000", "url": "https://www.pinterest.com/pin/1234567890/" } ```` Boards come as `type: "board"` records and users as `type: "user"` records with their own stat fields. ### Input ```json { "searches": ["home decor", "nail art"], "scope": "pins", "maxItemsPerSearch": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` | Field | Description | | --- | --- | | `searches` | Keywords to search on Pinterest. | | `scope` | `pins`, `boards`, or `users`. | | `maxItemsPerSearch` | Results per search term (up to 1000). | | `proxyConfiguration` | Proxy; residential is used by default. | ### Use cases - Source product ideas and destination links for e-commerce. - Spot visual trends by color, theme, or keyword. - Find influential boards and users in a niche. - Build mood boards and image datasets for design research. ### Pricing Pay-per-event: you're billed a small amount per run and per item scraped — you only pay for what you get. See the **Pricing** tab for current rates. ### Notes This Actor uses Pinterest's public web search endpoints and reads only publicly available pins, boards, and users. It is an independent tool and is not affiliated with, endorsed by, or connected to Pinterest, Inc. Scrape public data only. # Actor input Schema ## `searches` (type: `array`): Keywords to search on Pinterest (e.g. "home decor", "nail art"), one per line. ## `scope` (type: `string`): What to return. ## `maxItemsPerSearch` (type: `integer`): Results per search term. ## `proxyConfiguration` (type: `object`): Pinterest requires a residential proxy (used by default, session-rotated). ## Actor input object example ```json { "searches": [ "home decor" ], "scope": "pins", "maxItemsPerSearch": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "searches": [ "home decor" ] }; // Run the Actor and wait for it to finish const run = await client.actor("hipersoft/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 = { "searches": ["home decor"] } # Run the Actor and wait for it to finish run = client.actor("hipersoft/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 '{ "searches": [ "home decor" ] }' | apify call hipersoft/pinterest-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hipersoft/pinterest-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Scraper — Pins, Boards & Users", "description": "Search Pinterest and scrape pins (title, description, destination link, image, pinner, board, saves), boards and users. Fast, no login or API key. For visual research, e-commerce, trend and marketing analysis.", "version": "1.0", "x-build-id": "eY1JrkEHw1WJaEySa" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hipersoft~pinterest-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hipersoft-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hipersoft~pinterest-scraper/runs": { "post": { "operationId": "runs-sync-hipersoft-pinterest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hipersoft~pinterest-scraper/run-sync": { "post": { "operationId": "run-sync-hipersoft-pinterest-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searches": { "title": "Search terms", "type": "array", "description": "Keywords to search on Pinterest (e.g. \"home decor\", \"nail art\"), one per line.", "items": { "type": "string" } }, "scope": { "title": "Search for", "enum": [ "pins", "boards", "users" ], "type": "string", "description": "What to return.", "default": "pins" }, "maxItemsPerSearch": { "title": "Max items per search", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Results per search term.", "default": 50 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Pinterest requires a residential proxy (used by default, session-rotated).", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```