# Pinterest Ad Library API - Ad Transparency Scraper (`dev00/pinterest-ad-library-api-ad-transparency-scraper`) Actor Access Pinterest's Ad Transparency Library. Search for advertiser names, retrieve active ads by country, categories, age range, or gender, and query specific ad creative details. - **URL**: https://apify.com/dev00/pinterest-ad-library-api-ad-transparency-scraper.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 91.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $10.00 / 1,000 pinterest ad events 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 Ad Library & Transparency Scraper Query Pinterest's Ads Transparency Library directory to spy on competitors, discover active ads, find target demographics (location, age group, gender), target interest categories, and pull creative details (images, copy, external links). ### Features - **Search Advertisers**: Look up advertiser names (e.g. `google`, `nike`) to find their exact advertiser handle. - **Spy on Competitor Ads**: Filter ads by advertiser name, target country, age range, gender, category, date ranges, and paginate results. - **Detailed Ad Insights**: Retrieve creative links, reasons for targeting, policy review decisions, and active runtime dates. - **Pay-Per-Event pricing**: Monetized per query event at a cost of **$0.03** (3 cents) per successful action. ### Input Configuration | Parameter | Type | Default | Description | |---|---|---|---| | `action` | select | `search_ads` | Run actions: `search_ads`, `search_advertisers`, or `get_ad_details`. | | `search` | string | - | Advertiser search keyword (required for `search_advertisers`). | | `country` | select | `FR` | Target country code filter (e.g., `FR`, `ES`, `DE`). | | `advertiser_name` | string | - | Filter by exact advertiser name (e.g., `Google LLC`). | | `vertical` | select | - | Filter ads by interest category (e.g., `ANIMALS`, `ART`). | | `gender` | select | - | Demographics gender filter (`UNSPECIFIED`, `FEMALE`, `MALE`). | | `age_bucket` | select | `AGE_ALL` | Target age group (e.g. `AGE_18_24`, `AGE_ALL`). | | `start_date` | string | - | Ad active start date filter (`YYYY-MM-DD`). | | `end_date` | string | - | Ad active end date filter (`YYYY-MM-DD`). | | `page_size` | number | `24` | Number of ads to return (max 100). | | `bookmark` | string | - | Pagination cursor cursor. | | `ad_id` | string | - | Pinterest Ad ID (required for `get_ad_details`). | #### Example Input ```json { "action": "search_ads", "country": "FR", "advertiser_name": "Google LLC", "age_bucket": "AGE_ALL", "page_size": 24 } ```` ### Dataset Output Provides clean structured outputs based on the action selected: - `advertiser_names`: Array of matched advertiser handles. - `pin_ids_with_metadata` / `ad_ids_with_metadata`: Array of active advertiser ad objects containing titles, descriptions, image URLs, categories, etc. - `bookmark`: Pagination cursor token. - `ad_details`: Full creative specifications, targeting metrics, and statement details. # Actor input Schema ## `action` (type: `string`): Choose whether to search for ads, look up advertiser names, or retrieve ad details. ## `search` (type: `string`): Advertiser search text (e.g. google) - required when action is 'search\_advertisers'. ## `country` (type: `string`): The country to filter ads from. ## `advertiser_name` (type: `string`): Filter by exact advertiser name (e.g. Google LLC). Use 'Search Advertisers' action first to find exact names. ## `vertical` (type: `string`): Filter ads by interest category vertical. ## `gender` (type: `string`): Filter ads by target gender demographic. ## `age_bucket` (type: `string`): Filter ads by target age group. ## `start_date` (type: `string`): Start date for ad library transparency query. ## `end_date` (type: `string`): End date for ad library transparency query. ## `bookmark` (type: `string`): Pagination cursor token returned in previous runs. ## `ad_id` (type: `string`): Pinterest Ad ID (e.g. 807973990291944766) - required when action is 'get\_ad\_details'. ## Actor input object example ```json { "action": "search_ads", "country": "FR", "age_bucket": "AGE_ALL" } ``` # Actor output Schema ## `results` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dev00/pinterest-ad-library-api-ad-transparency-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("dev00/pinterest-ad-library-api-ad-transparency-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 dev00/pinterest-ad-library-api-ad-transparency-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/pinterest-ad-library-api-ad-transparency-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Pinterest Ad Library API - Ad Transparency Scraper", "description": "Access Pinterest's Ad Transparency Library. Search for advertiser names, retrieve active ads by country, categories, age range, or gender, and query specific ad creative details.", "version": "1.0", "x-build-id": "0N8W0wfqNfTqfbcz1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~pinterest-ad-library-api-ad-transparency-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-pinterest-ad-library-api-ad-transparency-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~pinterest-ad-library-api-ad-transparency-scraper/runs": { "post": { "operationId": "runs-sync-dev00-pinterest-ad-library-api-ad-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~pinterest-ad-library-api-ad-transparency-scraper/run-sync": { "post": { "operationId": "run-sync-dev00-pinterest-ad-library-api-ad-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "action": { "title": "Action", "enum": [ "search_ads", "search_advertisers", "get_ad_details" ], "type": "string", "description": "Choose whether to search for ads, look up advertiser names, or retrieve ad details.", "default": "search_ads" }, "search": { "title": "Advertiser Search Text", "type": "string", "description": "Advertiser search text (e.g. google) - required when action is 'search_advertisers'." }, "country": { "title": "Country", "enum": [ "LT", "SE", "PL", "HR", "BG", "BR", "FI", "ES", "TR", "MT", "BE", "AT", "PT", "CZ", "SK", "GR", "LV", "IT", "DK", "DE", "LU", "IE", "SI", "CY", "EE", "HU", "NL", "NO", "RO", "FR" ], "type": "string", "description": "The country to filter ads from.", "default": "FR" }, "advertiser_name": { "title": "Exact Advertiser Name", "type": "string", "description": "Filter by exact advertiser name (e.g. Google LLC). Use 'Search Advertisers' action first to find exact names." }, "vertical": { "title": "Category Vertical", "enum": [ "", "ANIMALS", "ARCHITECTURE", "ART", "BEAUTY", "CHILDRENS_FASHION", "DESIGN", "DIY_AND_CRAFTS", "EDUCATION", "ELECTRONICS", "ENTERTAINMENT", "EVENT_PLANNING", "FINANCE", "FOOD_AND_DRINKS", "HEALTH", "HOME_DECOR", "GARDENING", "MENS_FASHION", "PARENTING", "QUOTES", "SPORT", "TRAVEL", "VEHICLES", "WEDDING", "WOMENS_FASHION", "OTHER" ], "type": "string", "description": "Filter ads by interest category vertical." }, "gender": { "title": "Gender", "enum": [ "", "UNSPECIFIED", "FEMALE", "MALE" ], "type": "string", "description": "Filter ads by target gender demographic." }, "age_bucket": { "title": "Age Bracket", "enum": [ "AGE_18_24", "AGE_25_34", "AGE_35_44", "AGE_45_49", "AGE_50_54", "AGE_55_64", "AGE_65_PLUS", "AGE_ALL" ], "type": "string", "description": "Filter ads by target age group.", "default": "AGE_ALL" }, "start_date": { "title": "Start Date", "type": "string", "description": "Start date for ad library transparency query." }, "end_date": { "title": "End Date", "type": "string", "description": "End date for ad library transparency query." }, "bookmark": { "title": "Pagination Bookmark", "type": "string", "description": "Pagination cursor token returned in previous runs." }, "ad_id": { "title": "Pinterest Ad ID", "type": "string", "description": "Pinterest Ad ID (e.g. 807973990291944766) - required when action is 'get_ad_details'." } } }, "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 } } } } } } } } } } ```