# 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
- **Features:** Limited permissions
- **Stats:** 5 total users, 3 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 pinterest ad events

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# 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(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dev00/pinterest-ad-library-api-ad-transparency-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Jhzb0esoCpEvEfgaQ/builds/0N8W0wfqNfTqfbcz1/openapi.json