# Pinterest Pins Scraper (`cirkit/pinterest-pins-scraper`) Actor Fast Pinterest pins scraper. Search by keyword, scrape every pin from a board or user, or fetch single pin detail. Extracts images, title, description, save count, source link, dominant color, pinner and board. No browser. - **URL**: https://apify.com/cirkit/pinterest-pins-scraper.md - **Developed by:** [Crikit](https://apify.com/cirkit) (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 ## Pinterest Pins Scraper Fast, low-cost Pinterest pins scraper. One actor, four input modes: 1. **Search query**: paginate Pinterest's search results for any free-text query. 2. **Board URL**: every pin from any public board. 3. **User profile**: every pin from any public user account. 4. **Single pin URL**: full per-pin detail including the outbound source link. Direct read of Pinterest's public Resource API with TLS-fingerprint impersonation. No headless browser, no logins, no user cookies. Each pin record is one item in the default dataset. ### What you get per pin Every record has the same shape, regardless of input mode: - `id`, `url`, `title`, `description`, `altText` - `imageUrl` (largest) plus `allImageUrls` (every size variant) - `imageWidth`, `imageHeight`, `dominantColor` - `isVideo`, `videoUrl` (MP4 for video pins) - `sourceLink`, `domain`: the outbound URL the pin points to - `saveCount`, `repinCount`, `commentCount`, `reactionCount` - `createdAt` - `pinner`: id, username, full name, follower count, profile URL, avatar - `board`: id, name, URL, pin count, follower count - `isPromoted`, `source`, `sourceInput`, `scrapedAt` ### Input | Field | Type | Description | |---|---|---| | `searchQueries` | string[] | Pinterest search queries. One pin search per query. | | `boardUrls` | string[] | Pinterest board URLs (e.g. `https://www.pinterest.com/{user}/{board}/`). | | `userUrls` | string[] | Pinterest user URLs or bare usernames. | | `pinUrls` | string[] | Pinterest pin URLs or bare pin IDs. | | `maxResults` | integer | Cap on pins per search / board / user. Default 100. | | `enrichWithDetails` | boolean | When true, fetch full per-pin detail (adds source link plus aggregated save count). | | `proxyConfiguration` | object | Apify proxy config. Residential US recommended. | You can mix input modes in a single run. Each input is independent; `maxResults` applies per input, not globally. #### Example input ```json { "searchQueries": ["minimalist kitchen", "japandi living room"], "boardUrls": ["https://www.pinterest.com/akoerten/scott-lane-kitchen/"], "userUrls": ["akoerten"], "pinUrls": ["https://www.pinterest.com/pin/4503668374286122/"], "maxResults": 50, "enrichWithDetails": false } ```` ### Pricing Pay per result. $0.002 per pin record. No actor-start fee, no rental, no surprise charges. That is $2.00 per 1,000 pins, undercutting the top Pinterest pin scrapers on Apify by 30 to 50 percent. ### How it works - Cold-start GET to `https://www.pinterest.com/` to warm the anonymous cookie session. - Each input mode hits the matching Pinterest Resource API endpoint: - search uses `BaseSearchResource` - board uses `BoardResource` plus `BoardFeedResource` - user uses `UserPinsResource` - pin uses `PinResource` - Pagination is via Pinterest's bookmark token. - TLS fingerprint impersonation via `curl_cffi` (chrome124 / chrome131 / safari17\_0 rotation) defeats Pinterest's stock-client block at the handshake layer. - One 403 triggers automatic session rotation and re-warm. No headless browser. No CDP. No Cloudflare cookie scraping. Just clean JSON API calls. ### Output format The default dataset receives one record per pin in [camelCase JSON](https://docs.apify.com/platform/storage/dataset). Use the Overview view in Apify Console for a quick scrollable table; use `?format=csv` on the dataset URL for CSV. See the dataset schema for the full field list and types. ### Use cases - Content marketing: discover trending visuals for any niche. - Ecommerce trend research: track Pinterest saves on competitor product images. - Creative inspiration mining: build moodboards programmatically. - Influencer or pinner discovery: rank users by save velocity. - Image dataset building for fashion, home decor, food, fitness verticals. ### Notes and limits - Pinterest search re-ranks per session. Two runs of the same query 5 minutes apart return overlapping but different first pages. - `saveCount` from search-only results is the per-pin repin count. Use `enrichWithDetails: true` to get the aggregated cross-pin save count from `aggregated_pin_data.aggregated_stats.saves` (usually 5 to 50 times larger). - Pinterest's bookmark cursor walks hundreds of pages deep without re-warming. - For boards or users with thousands of pins, set `maxResults` accordingly and budget more memory. - Residential proxy is recommended for sustained scraping. Datacenter works for small jobs. ### Related actors - Looking for Pinterest follower lists, comments, or board catalogs? Reach out and we will add them. # Actor input Schema ## `searchQueries` (type: `array`): Pinterest search queries. One pin search per query. ## `boardUrls` (type: `array`): Pinterest board URLs (e.g. https://www.pinterest.com/akoerten/scott-lane-kitchen/). Returns every pin on each board. ## `userUrls` (type: `array`): Pinterest user profile URLs (e.g. https://www.pinterest.com/akoerten/) or bare usernames. Returns every public pin from each user. ## `pinUrls` (type: `array`): Pinterest pin URLs (e.g. https://www.pinterest.com/pin/4503668374286122/) or bare pin IDs. Returns full per-pin detail including outbound source link. ## `maxResults` (type: `integer`): Cap on total pins returned per search query, per board, or per user. ## `enrichWithDetails` (type: `boolean`): When true, the scraper hits each pin's detail endpoint to pull outbound source link, aggregated save count, and rich metadata. Adds time and a small per-pin request. ## `proxyConfiguration` (type: `object`): Residential proxies are recommended for sustained scraping. Datacenter works for low-volume runs. ## Actor input object example ```json { "searchQueries": [ "minimalist kitchen" ], "boardUrls": [], "userUrls": [], "pinUrls": [], "maxResults": 50, "enrichWithDetails": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } ``` # Actor output Schema ## `dataset` (type: `string`): Dataset of Pinterest pin records. ## `datasetCsv` (type: `string`): Same dataset rendered as CSV. # 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": [ "minimalist kitchen" ], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }; // Run the Actor and wait for it to finish const run = await client.actor("cirkit/pinterest-pins-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": ["minimalist kitchen"], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US", }, } # Run the Actor and wait for it to finish run = client.actor("cirkit/pinterest-pins-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": [ "minimalist kitchen" ], "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } }' | apify call cirkit/pinterest-pins-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=cirkit/pinterest-pins-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Pins Scraper", "description": "Fast Pinterest pins scraper. Search by keyword, scrape every pin from a board or user, or fetch single pin detail. Extracts images, title, description, save count, source link, dominant color, pinner and board. No browser.", "version": "0.2", "x-build-id": "lam4WueJTjqyoHbhY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/cirkit~pinterest-pins-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-cirkit-pinterest-pins-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/cirkit~pinterest-pins-scraper/runs": { "post": { "operationId": "runs-sync-cirkit-pinterest-pins-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/cirkit~pinterest-pins-scraper/run-sync": { "post": { "operationId": "run-sync-cirkit-pinterest-pins-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search Queries", "uniqueItems": true, "type": "array", "description": "Pinterest search queries. One pin search per query.", "default": [], "items": { "type": "string" } }, "boardUrls": { "title": "Board URLs", "uniqueItems": true, "type": "array", "description": "Pinterest board URLs (e.g. https://www.pinterest.com/akoerten/scott-lane-kitchen/). Returns every pin on each board.", "default": [], "items": { "type": "string" } }, "userUrls": { "title": "User Profile URLs or Usernames", "uniqueItems": true, "type": "array", "description": "Pinterest user profile URLs (e.g. https://www.pinterest.com/akoerten/) or bare usernames. Returns every public pin from each user.", "default": [], "items": { "type": "string" } }, "pinUrls": { "title": "Single Pin URLs", "uniqueItems": true, "type": "array", "description": "Pinterest pin URLs (e.g. https://www.pinterest.com/pin/4503668374286122/) or bare pin IDs. Returns full per-pin detail including outbound source link.", "default": [], "items": { "type": "string" } }, "maxResults": { "title": "Max Results Per Input", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Cap on total pins returned per search query, per board, or per user.", "default": 100 }, "enrichWithDetails": { "title": "Fetch Full Detail Per Pin", "type": "boolean", "description": "When true, the scraper hits each pin's detail endpoint to pull outbound source link, aggregated save count, and rich metadata. Adds time and a small per-pin request.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Residential proxies are recommended for sustained scraping. Datacenter works for low-volume runs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "US" } } } }, "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 } } } } } } } } } } ```