# Pinterest Ads Scraper (`api-empire/pinterest-ads-scraper`) Actor πŸ“Œ Pinterest Ads Scraper pulls ads at scale β€” creatives, titles, descriptions, advertiser, landing URLs, dates & metrics β€” straight from Pinterest. πŸ“Š Ideal for competitor research, trend tracking & creative benchmarking. βš™οΈ Export CSV/JSON, schedule runs, API-ready. πŸš€ - **URL**: https://apify.com/api-empire/pinterest-ads-scraper.md - **Developed by:** [API Empire](https://apify.com/api-empire) (community) - **Categories:** Social media, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Ads Scraper Apify Actor that scrapes Pinterest Ads Library by date range and country. ### Logic (from pin-ads.py) 1. **Bulk fetch** – Paginated fetch from `/ads/v4/ads_repository/ad_library` (page_size 24) 2. **Individual fetch** – Per-pin details from `/ads/v4/ads_repository/ad_library/{pin_id}` 3. **Concurrency** – 5 concurrent requests, batch size 10 4. **Retry** – 2 attempts with 1s delay ### Input | Field | Required | Description | |-------|----------|-------------| | start_date | Yes | YYYY-MM-DD | | end_date | Yes | YYYY-MM-DD | | country | Yes | Country name (e.g. France) | | resultsLimit | No | Max ads (default 100) | | proxyConfiguration | No | Optional proxy | ### Output Each record: `{ "pin_id": "...", "ad_details": { ... } }` `ad_details` includes: advertiser_names, start_date, end_date, countries, user_count_by_country, image_link, pin_data (title, details, etc.) ### Run ```bash pip install -r requirements.txt python -m src ```` ### What are other Pinterest scraping tools? If you want to scrape specific Pinterest data, you can use any of the dedicated scrapers below for faster and more targeted results. | Scraper Name | Scraper Name | |---|---| | [Pinterest Autocomplete Scraper](https://apify.com/api-empire/pinterest-autocomplete-scraper) | [Pinterest Keywords Discovery Scraper](https://apify.com/api-empire/pinterest-keywords-discovery-scraper) | | [Pinterest Boards Scraper](https://apify.com/api-empire/pinterest-boards-scraper) | [Pinterest Lead Scraper](https://apify.com/api-empire/pinterest-lead-scraper) | | [Pinterest Comment Scraper](https://apify.com/api-empire/pinterest-comment-scraper) | [Pinterest Phone Number Scraper](https://apify.com/api-empire/pinterest-phone-number-scraper) | | [Pinterest Email Scraper](https://apify.com/api-empire/pinterest-email-scraper) | [Pinterest Pins/Videos Search Scraper](https://apify.com/api-empire/pinterest-pins-videos-search-scraper) | | [Pinterest Followers Scraper](https://apify.com/api-empire/pinterest-followers-scraper) | [Pinterest Profile Scraper](https://apify.com/api-empire/pinterest-profile-scraper) | | [Pinterest Following Scraper](https://apify.com/api-empire/pinterest-following-scraper) | [Pinterest Search Scraper](https://apify.com/api-empire/pinterest-search-scraper) | # Actor input Schema ## `start_date` (type: `string`): First day of the period (YYYY-MM-DD). Required. ## `end_date` (type: `string`): Last day of the period (YYYY-MM-DD). Required. ## `country` (type: `string`): Choose the market you want to analyzeβ€”ads shown in this country will be collected ## `resultsLimit` (type: `integer`): Maximum number of ads to fetch (1–10,000) ## `proxyConfiguration` (type: `object`): Enable if you experience access issues. Most users can leave this disabled. ## Actor input object example ```json { "start_date": "2026-03-01", "end_date": "2026-03-14", "country": "France", "resultsLimit": 100, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("api-empire/pinterest-ads-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "proxyConfiguration": { "useApifyProxy": False } } # Run the Actor and wait for it to finish run = client.actor("api-empire/pinterest-ads-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "proxyConfiguration": { "useApifyProxy": false } }' | apify call api-empire/pinterest-ads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api-empire/pinterest-ads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Ads Scraper", "description": "πŸ“Œ Pinterest Ads Scraper pulls ads at scale β€” creatives, titles, descriptions, advertiser, landing URLs, dates & metrics β€” straight from Pinterest. πŸ“Š Ideal for competitor research, trend tracking & creative benchmarking. βš™οΈ Export CSV/JSON, schedule runs, API-ready. πŸš€", "version": "0.2", "x-build-id": "Z0hu1zEcAgsjMp1TV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api-empire~pinterest-ads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api-empire-pinterest-ads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/api-empire~pinterest-ads-scraper/runs": { "post": { "operationId": "runs-sync-api-empire-pinterest-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/api-empire~pinterest-ads-scraper/run-sync": { "post": { "operationId": "run-sync-api-empire-pinterest-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "start_date", "end_date", "country" ], "properties": { "start_date": { "title": "πŸ“… Start Date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$", "type": "string", "description": "First day of the period (YYYY-MM-DD). Required.", "default": "2026-03-01" }, "end_date": { "title": "πŸ“… End Date", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])$", "type": "string", "description": "Last day of the period (YYYY-MM-DD). Required.", "default": "2026-03-14" }, "country": { "title": "🌍 Country", "enum": [ "Austria", "Belgium", "Brazil", "Bulgaria", "Croatia", "Cyprus", "Czech Republic", "Denmark", "Estonia", "Finland", "France", "Germany", "Greece", "Hungary", "Ireland", "Italy", "Latvia", "Lithuania", "Luxembourg", "Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden", "Turkey", "United Kingdom", "United States" ], "type": "string", "description": "Choose the market you want to analyzeβ€”ads shown in this country will be collected", "default": "France" }, "resultsLimit": { "title": "πŸ”’ Results Limit", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of ads to fetch (1–10,000)", "default": 100 }, "proxyConfiguration": { "title": "πŸ”’ Proxy (Optional)", "type": "object", "description": "Enable if you experience access issues. Most users can leave this disabled." } } }, "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 } } } } } } } } } } ```