# Ultimate Pinterest Scraper & Intelligence API (`dev00/pinterest-ultimate-api`) Actor All-in-one Pinterest scraper: search pins, videos, boards, users, niche analysis, trends, download media, and generate tags. - **URL**: https://apify.com/dev00/pinterest-ultimate-api.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** Social media - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 pinterest successful queries 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 ## Pinterest Ultimate Scraper & Intelligence API The most comprehensive, robust, and lightning-fast unofficial Pinterest data scraper on Apify. Access **30+ powerful endpoints** in one single Actor. Scrape, search, download, and analyze Pinterest data in real-time with zero login required, no session handling, and clean, beautiful JSON output. --- ### 🔍 Features * **Search Discovery**: Search pins, videos, boards, and creators/users with infinite pagination support. * **Pin Intelligence**: Fetch detailed metadata, original image/video download links, comments, related pins, and real-time stats. * **Profile Lookup**: Retrieve user profiles, their boards, and all their published pins. * **Pinterest Trends**: Access current featured topics, growing/seasonal/monthly/yearly presets, trending categories, and term visual associations. * **Tags & Keywords Generator**: Generate semantic keywords using alphabetical/recursive scans and scrape relevant hashtag lists. * **Utilities**: Verify if an email is registered on Pinterest, resolve short links (e.g. `pin.it`), and fetch autocomplete typeahead keywords. * **Niche Analyzer**: Automatically calculate average repins, comments, video percentage, top pinners, and top websites for any keyword. --- ### 🚀 How to Use Select your target **API Endpoint Pathway** in the dropdown list and specify the relevant parameter in the fields: #### Endpoint Settings | Endpoint Parameter | Pathway | Purpose | | --- | --- | --- | | `pins/relevance` | Search Pins by Relevance | Find pins matching a search query. | | `pins/recent` | Search Pins by Recency | Get the latest pins for a keyword. | | `videos/relevance` | Search Videos by Relevance | Discover video pins. | | `pin/info` | Pin Details | Fetch full images, titles, boards, and stats. | | `pin/comments` | Pin Comments | Extract all comments of a pin. | | `pin/download` | Direct Download Links | Get direct image and video download URLs. | | `profile/info` | User Profile Info | Scrape detailed stats of a Pinterest profile. | | `trends/trending-now` | Trending Now Topics | Scrape what is popular right now. | | `niche/analyze` | Deep Niche Analytics | Analyze a topic's competitive landscape. | --- ### 📦 Output Fields Every output row contains key columns for simple tabular mapping as well as **fully nested, rich JSON objects** matching the direct API response: * `success` (Boolean): Request completion status. * `endpoint` (String): The pathway selected. * `query_or_id` (String): Search keyword or Pin ID. * `title_or_name` (String): Found pin, user, board, or keyword name. * `saves_count` (Number): Saves / repins count. * `comments_count` (Number): Total comment counts. * `image_url` (String): High-resolution thumbnail URL. * `profile_url` (String): Direct creator profile URL. * `is_video` (Boolean): Pin format indicator. * *And all rich properties spread dynamically.* --- ### 💰 Pricing This Actor uses the **Pay-Per-Event (PPE)** pricing model. You are only charged for actual successful queries: * **Event**: `pinterest-query` * **Pricing**: `$3.00 per 1,000 successful requests` ($0.003 / query). * *Note: Standard platform fees may apply.* # Actor input Schema ## `endpoint` (type: `string`): Choose the target query endpoint you wish to run. ## `query` (type: `string`): Enter the search term, niche, autocomplete prefix, keyword seed, or hashtag topic. ## `pinId` (type: `string`): The target Pin ID (e.g. '1234567890'). Used in details, comments, downloads, related, stats. ## `username` (type: `string`): Pinterest creator or brand username (e.g. 'nike'). Used in profile info, boards, pins. ## `boardId` (type: `string`): Pinterest Board ID. Used in Board Pins lookup. ## `url` (type: `string`): The pin.it short link to resolve, or domain name to check pin counts. ## `email` (type: `string`): The email address to scan for existence. ## `terms` (type: `string`): Only used for Term Images (e.g. 'shoes, outfits'). ## `count` (type: `integer`): Max number of items to retrieve (handles recursive internal pagination automatically). ## `sort` (type: `string`): Select sort index order. ## `size` (type: `string`): Select quality dimensions. ## `limit` (type: `integer`): Only used for Term Images (1 to 9). ## `recursive` (type: `boolean`): Only used for Keywords Generation. Check to run deeper, recursive alphabet seed queries. ## Actor input object example ```json { "endpoint": "pins/relevance", "query": "wedding decor", "count": 25, "sort": "default", "size": "236x", "limit": 2, "recursive": false } ```` # Actor output Schema ## `results` (type: `string`): No description ## `keyValueStoreResult` (type: `string`): No description # 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 = { "query": "wedding decor" }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/pinterest-ultimate-api").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 = { "query": "wedding decor" } # Run the Actor and wait for it to finish run = client.actor("dev00/pinterest-ultimate-api").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 '{ "query": "wedding decor" }' | apify call dev00/pinterest-ultimate-api --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/pinterest-ultimate-api", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ultimate Pinterest Scraper & Intelligence API", "description": "All-in-one Pinterest scraper: search pins, videos, boards, users, niche analysis, trends, download media, and generate tags.", "version": "2.0", "x-build-id": "WreOaPcp2h0nVeevE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~pinterest-ultimate-api/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-pinterest-ultimate-api", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~pinterest-ultimate-api/runs": { "post": { "operationId": "runs-sync-dev00-pinterest-ultimate-api", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~pinterest-ultimate-api/run-sync": { "post": { "operationId": "run-sync-dev00-pinterest-ultimate-api", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "endpoint" ], "properties": { "endpoint": { "title": "API Endpoint Pathway", "enum": [ "pins/relevance", "pins/recent", "videos/relevance", "videos/recent", "boards/relevance", "users/relevance", "pin/info", "pin/comments", "pin/download", "pin/related", "pin/resolve", "pin/stats", "profile/info", "profile/boards", "profile/pins", "boards/pins", "trends/trending-now", "trends/growing", "trends/seasonal", "trends/monthly", "trends/yearly", "trends/categories", "trends/keyword", "trends/term-images", "keywords/generate", "tags/generate", "search/autocomplete", "niche/analyze", "email/check", "domain/sharing-count" ], "type": "string", "description": "Choose the target query endpoint you wish to run.", "default": "pins/relevance" }, "query": { "title": "Search Query / Base Term", "type": "string", "description": "Enter the search term, niche, autocomplete prefix, keyword seed, or hashtag topic." }, "pinId": { "title": "Pin ID", "type": "string", "description": "The target Pin ID (e.g. '1234567890'). Used in details, comments, downloads, related, stats." }, "username": { "title": "Username", "type": "string", "description": "Pinterest creator or brand username (e.g. 'nike'). Used in profile info, boards, pins." }, "boardId": { "title": "Board ID", "type": "string", "description": "Pinterest Board ID. Used in Board Pins lookup." }, "url": { "title": "Target URL", "type": "string", "description": "The pin.it short link to resolve, or domain name to check pin counts." }, "email": { "title": "Email Address", "type": "string", "description": "The email address to scan for existence." }, "terms": { "title": "Trend Terms (Comma-separated)", "type": "string", "description": "Only used for Term Images (e.g. 'shoes, outfits')." }, "count": { "title": "Result Limit", "minimum": 1, "maximum": 500, "type": "integer", "description": "Max number of items to retrieve (handles recursive internal pagination automatically).", "default": 25 }, "sort": { "title": "Board Pins Sorting", "enum": [ "default", "recent" ], "type": "string", "description": "Select sort index order.", "default": "default" }, "size": { "title": "Term Image Size Preset", "enum": [ "75x75", "170x", "236x", "474x", "564x", "736x", "originals" ], "type": "string", "description": "Select quality dimensions.", "default": "236x" }, "limit": { "title": "Images Limit Per Term", "minimum": 1, "maximum": 9, "type": "integer", "description": "Only used for Term Images (1 to 9).", "default": 2 }, "recursive": { "title": "Recursive Autocomplete Scan", "type": "boolean", "description": "Only used for Keywords Generation. Check to run deeper, recursive alphabet seed queries.", "default": false } } }, "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 } } } } } } } } } } ```