# Pinterest Profile Scraper (`nifty.codes/pinterest-profiledetails-scraper`) Actor Extract Pinterest user profile data including follower counts, verification status, and engagement metrics. Powered by Pinterest Scraper. - **URL**: https://apify.com/nifty.codes/pinterest-profiledetails-scraper.md - **Developed by:** [Nifty](https://apify.com/nifty.codes) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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 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 ## Introduction This actor extracts Profile Details from Pinterest. It collects user metrics, verification status, and account metadata from public profile pages. Use this tool to track account growth and verify user identities. ### Data Fields | Field Name | Description | Example | | :--- | :--- | :--- | | Full Name | The display name of the user | Jane Doe | | First Name | The first name of the user | Jane | | Username | The unique Pinterest handle | janedoe123 | | About | The profile bio text | Interior design enthusiast | | Created Date | Account creation timestamp | 2018-05-12T14:20:00Z | | Follower Count | Number of users following this profile | 1500 | | Following Count | Number of users this profile follows | 450 | | Explicit User Following Count | Count of specific users followed | 440 | | Board Count | Total number of public boards | 25 | | Pin Count | Total number of pins saved | 1200 | | Domain Verified | Whether the website is verified | true | | Has Shopping Showcase | If the profile has a shop tab | false | | All Profile Images | List of profile picture URLs | ["https://pin.it/img1.jpg"] | | Last Pin Save Time | Timestamp of the most recent save | 2023-10-01T09:00:00Z | | Profile Reach | Monthly unique viewers | 50000 | | Profile Views | Total profile views | 120000 | | Has Catalog | If the user has a product catalog | false | | Interest Following Count | Number of interests followed | 12 | | Native Pin Count | Number of pins created by the user | 300 | | Story Pin Count | Number of story pins | 15 | | Video Pin Count | Number of video pins | 5 | | Group Board Count | Number of group boards joined | 3 | | Has Published Pins | If the user has public pins | true | | Is Private Profile | Visibility status of the profile | false | | Verified Identity | If the user has a verified badge | true | ### Input - `urls`: Array of Pinterest profile URL strings. Example: `https://www.pinterest.com/username/`. - `maxItems`: Maximum number of profiles to process per run. Default is 100. ### Example Input ```json { "urls": ["https://www.pinterest.com/example_user/"], "maxItems": 50 } ```` ### Example Output ```json [ { "fullName": "Design Studio", "firstName": "Design", "username": "design_studio", "about": "Modern architecture and interior design.", "createdDate": "2015-02-10T10:00:00Z", "followerCount": 12500, "followingCount": 800, "explicitUserFollowingCount": 790, "boardCount": 45, "pinCount": 3500, "domainVerified": true, "hasShoppingShowcase": true, "allProfileImages": ["https://i.pinimg.com/75x75_RS/1.jpg"], "lastPinSaveTime": "2023-11-15T14:30:00Z", "profileReach": 250000, "profileViews": 500000, "hasCatalog": true, "interestFollowingCount": 20, "nativePinCount": 1200, "storyPinCount": 40, "videoPinCount": 10, "groupBoardCount": 5, "hasPublishedPins": true, "isPrivateProfile": false, "verifiedIdentity": true }, { "fullName": "Traveler Joe", "firstName": "Joe", "username": "traveler_joe", "about": "Exploring the world one pin at a time.", "createdDate": "2020-08-22T12:00:00Z", "followerCount": 300, "followingCount": 150, "explicitUserFollowingCount": 145, "boardCount": 10, "pinCount": 450, "domainVerified": false, "hasShoppingShowcase": false, "allProfileImages": ["https://i.pinimg.com/75x75_RS/2.jpg"], "lastPinSaveTime": "2023-11-10T11:00:00Z", "profileReach": 1000, "profileViews": 2500, "hasCatalog": false, "interestFollowingCount": 5, "nativePinCount": 50, "storyPinCount": 0, "videoPinCount": 0, "groupBoardCount": 1, "hasPublishedPins": true, "isPrivateProfile": false, "verifiedIdentity": false } ] ``` #### Want more from Pinterest? This actor only covers **Profile Details**. The full **Pinterest Scraper** browser extension also includes **Pins in a List, Boards in a List, Users in Following, Followers in a List, Pin Details, Comments in a Pin** with unlimited personal use, real-time scraping with your logged-in sessions, CSV/Excel/JSON export, field customization, and scheduled monitoring. **[Get the Pinterest Scraper extension](https://nifty.codes/e/pinterest-scraper)** ### Disclaimer This tool extracts publicly available data. Users are responsible for compliance with applicable terms of service. # Actor input Schema ## `urls` (type: `array`): URLs to scrape. Must match: pinterest.com ## `maxItems` (type: `integer`): Maximum number of items to extract per URL ## Actor input object example ```json { "urls": [ "https://www.pinterest.com/stealthelook/_saved/" ], "maxItems": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nifty.codes/pinterest-profiledetails-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 = {} # Run the Actor and wait for it to finish run = client.actor("nifty.codes/pinterest-profiledetails-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 '{}' | apify call nifty.codes/pinterest-profiledetails-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nifty.codes/pinterest-profiledetails-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Profile Scraper", "description": "Extract Pinterest user profile data including follower counts, verification status, and engagement metrics. Powered by Pinterest Scraper.", "version": "3.2", "x-build-id": "rDSaCfTrYnoeLsn9X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nifty.codes~pinterest-profiledetails-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nifty.codes-pinterest-profiledetails-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nifty.codes~pinterest-profiledetails-scraper/runs": { "post": { "operationId": "runs-sync-nifty.codes-pinterest-profiledetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nifty.codes~pinterest-profiledetails-scraper/run-sync": { "post": { "operationId": "run-sync-nifty.codes-pinterest-profiledetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "URLs to scrape. Must match: pinterest.com", "items": { "type": "string" }, "default": [ "https://www.pinterest.com/stealthelook/_saved/" ] }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of items to extract per URL", "default": 100 } } }, "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 } } } } } } } } } } ```