# Pinterest Search Scraper (`devcake/pinterest-search-scraper`) Actor Search Pinterest by keywords and extract pins, comments, shares,saves, profiles,board information,product pins with pricing. 40+ fields for Seo Research, Trend discovery, and Keyword analysis. - **URL**: https://apify.com/devcake/pinterest-search-scraper.md - **Developed by:** [devcake](https://apify.com/devcake) (community) - **Categories:** E-commerce, Social media, SEO tools - **Stats:** 131 total users, 27 monthly users, 99.4% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.00 / 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 ## 🔍 Pinterest Search Scraper Extract Pinterest search results by keyword with 40+ data fields per pin. Perfect for SEO research, trend analysis, content inspiration, and competitive monitoring. ### ✨ Features - 🔍 **Search by Keyword** — Extract pins from any search query - 🖼️ **All Image Sizes** — Get every resolution (236x, 474x, 564x, 736x, orig) - 📊 **Engagement Metrics** — Saves, likes, comments, repins, shares - 👤 **Creator Details** — Pinner username, full name, avatar, follower count - 📦 **Board Information** — Board name, URL, pin count, owner - 🛍️ **Product Pin Detection** — Identify pins with pricing, stock status - 💬 **Comments with Replies** — Optional: Extract user feedback and nested replies - 🚀 **No Login Required** — Works without cookies - 🌐 **Proxy Support** — Built-in Apify Proxy integration ### 💡 Use Cases | Use Case | Description | |----------|-------------| | **SEO Research** | Find trending keywords and content in your niche | | **Trend Analysis** | Track popular pins and topics over time | | **Content Planning** | Discover inspiration for your content calendar | | **Competitor Monitoring** | See what's performing in your market | | **Keyword Research** | Identify high-engagement search terms | | **Product Discovery** | Find trending products with pricing info | ### 💰 Pricing **Pay per use** — $4 per 1,000 results No subscriptions, no commitments, no hidden fees. Control your spending with the Maximum Cost Per Run option. ### 🔗 Other Pinterest Scrapers Need different Pinterest data? We offer specialized tools for every use case: | Actor | Pricing | Link | |-------|---------|------| | 📎 **Pinterest Pin Scraper** | $4 per 1,000 pins | [View Actor](https://apify.com/devcake/pinterest-pin-scraping) | | 👤 **Pinterest Profile Scraper** | $4 per 1,000 profiles | [View Actor](https://apify.com/devcake/pinterest-profile-scraper) | | 📁 **Pinterest Board Scraper** | $4 per 1,000 pins | [View Actor](https://apify.com/devcake/pinterest-board-scraper) | | 🎯 **All-in-One Pinterest Scraper** | $25/month unlimited | [View Actor](https://apify.com/devcake/pinterest-data-scraper) | ### 📝 Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchQueries` | array | ✅ Yes | Search terms to find pins | | `maxResults` | integer | No | Max pins per query (1-250, default: 25) | | `includeComments` | boolean | No | Fetch comments for each pin | | `maxComments` | integer | No | Max comments per pin (1-100) | | `proxyConfig` | object | No | Proxy configuration (recommended) | | `maxTotalChargeUsd` | number | No | Spending limit per run (default: $10) | #### Search URL Formats ```` https://www.pinterest.com/search/pins/?q=keyword https://www.pinterest.com/search/pins/?q=keyword\&rs=hub\_page ```` ### 📤 Output Each pin includes 40+ data fields. Key fields include: #### Basic Data - `id`, `url`, `title`, `description`, `domain`, `category` - `images.236x`, `images.474x`, `images.564x`, `images.736x`, `images.orig` #### Engagement - `saves`, `like_count`, `comment_count`, `repin_count`, `share_count` #### Creator & Board - `pinner` — Username, full name, avatar, follower count, verification - `board` — Name, URL, pin count, owner details #### Product Data (When Available) - `is_product_pin` — Product pin flag - `products` — Array with name, price, original price, stock status - `site_name` — Source website (e.g., "IKEA", "Amazon") - `official_merchant` — Verification status, followers - `aggregate_rating` — Rating value, rating count, review count - `tracked_link` — Direct product URL for affiliate tracking ### 🎯 Example ```json { "searchQueries": ["minimalist home office", "sustainable fashion"], "maxResults": 50, "maxTotalChargeUsd": 10 } ```` ```json { "id": "123456789", "url": "https://www.pinterest.com/pin/123456789/", "title": "Minimalist Home Office Setup", "images": { "236x": {"url": "https://i.pinimg.com/236x/..."}, "474x": {"url": "https://i.pinimg.com/474x/..."} }, "saves": 1523, "pinner": {"username": "designlover", "follower_count": 12500}, "board": {"name": "Office Inspiration", "pin_count": 245}, "is_product_pin": false } ``` ### 🚀 Getting Started 1. **Add search queries** — Enter keywords you want to research 2. **Set max results** — Control how many pins per query (up to 250) 3. **Set cost limit** — Optional spending cap per run 4. **Run** — Get search results in JSON format ### 💡 Tips - **Multiple Queries**: Add several keywords to compare trends - **Content Discovery**: Use broad terms like "interior design" then filter results - **Competitor Research**: Search for competitor brand names to see their featured content - **Product Research**: Add "buy", "shop", or "price" to find product pins *** ### ❓ FAQ **Q: Do I need Pinterest login credentials?** A: No! This scraper works without login for all public search results. **Q: How many results can I get per query?** A: Up to 250 pins per search query. For larger datasets, use multiple runs with different keyword variations. **Q: Can I search for specific types of pins?** A: Yes. Include keywords like "product", "buy", "price" to find product pins, or use Pinterest's advanced search filters manually. **Q: Does this include Pinterest's "More ideas" section?** A: Yes, the API-based approach captures results from the main search feed. **Q: Are comments included?** A: Yes! Enable `includeComments: true` to fetch comments with nested replies for each pin. *** ### ⚠️ Troubleshooting **Getting blocked?** - Enable Apify Proxy in the input (recommended) - Lower `maxResults` to reduce request volume - Add a `maxTotalChargeUsd` limit to control spending **No results for my query?** - Check spelling of your search terms - Try broader keywords (Pinterest may have limited results for niche terms) - Ensure query isn't violating Pinterest's terms **Missing engagement data?** - Some pins may have limited engagement metrics visible - This is a Pinterest limitation, not a scraper issue **Need help?** Contact us through Apify Console or check our documentation. # Actor input Schema ## `searchQueries` (type: `array`): Enter search terms to find pins on Pinterest ## `maxResults` (type: `integer`): Maximum number of pins to scrape from each search query ## `includeComments` (type: `boolean`): Fetch comments for each pin from search results. When enabled, includes top-level comments and nested replies. ## `maxComments` (type: `integer`): Maximum number of comments to fetch per pin (only used when includeComments is true) ## `proxyConfig` (type: `object`): Configure proxy rotation. Using SHARED\_PROXY is recommended for Pinterest. ## `maxTotalChargeUsd` (type: `number`): Set a spending limit for this run. The actor will stop when this amount is reached. ## Actor input object example ```json { "searchQueries": [], "maxResults": 25, "includeComments": false, "maxComments": 10, "maxTotalChargeUsd": 10 } ``` # Actor output Schema ## `allResults` (type: `string`): Complete dataset with all search results ## `overview` (type: `string`): Pinterest search results optimized for SEO and trend analysis - engagement metrics, pinner details, board links # 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 = { "searchQueries": [] }; // Run the Actor and wait for it to finish const run = await client.actor("devcake/pinterest-search-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 = { "searchQueries": [] } # Run the Actor and wait for it to finish run = client.actor("devcake/pinterest-search-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 '{ "searchQueries": [] }' | apify call devcake/pinterest-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devcake/pinterest-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Search Scraper", "description": "Search Pinterest by keywords and extract pins, comments, shares,saves, profiles,board information,product pins with pricing. 40+ fields for Seo Research, Trend discovery, and Keyword analysis.", "version": "0.0", "x-build-id": "6tzqMUW5PAtMZbemN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devcake~pinterest-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devcake-pinterest-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devcake~pinterest-search-scraper/runs": { "post": { "operationId": "runs-sync-devcake-pinterest-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devcake~pinterest-search-scraper/run-sync": { "post": { "operationId": "run-sync-devcake-pinterest-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "🔍 Search Queries", "type": "array", "description": "Enter search terms to find pins on Pinterest", "items": { "type": "string" }, "default": [] }, "maxResults": { "title": "📊 Max Results", "minimum": 1, "maximum": 250, "type": "integer", "description": "Maximum number of pins to scrape from each search query", "default": 25 }, "includeComments": { "title": "💬 Include Comments", "type": "boolean", "description": "Fetch comments for each pin from search results. When enabled, includes top-level comments and nested replies.", "default": false }, "maxComments": { "title": "📝 Max Comments per Pin", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of comments to fetch per pin (only used when includeComments is true)", "default": 10 }, "proxyConfig": { "title": "🌐 Proxy Configuration", "type": "object", "description": "Configure proxy rotation. Using SHARED_PROXY is recommended for Pinterest." }, "maxTotalChargeUsd": { "title": "💰 Maximum Cost Per Run (USD)", "minimum": 1, "type": "number", "description": "Set a spending limit for this run. The actor will stop when this amount is reached.", "default": 10 } } }, "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 } } } } } } } } } } ```