> ## Documentation Index
> Fetch the complete documentation index at: https://deepline.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Limadata: Batch Ad Audiences

> BETA. Submit an async batch job (up to 100,000 LinkedIn URLs or work emails) that resolves to SHA-256 hashed ad-audience rows for Meta, Google, TikTok, X.

BETA.

<Info>
  Tool ID: `limadata_batch_ad_audiences`
</Info>

## Run this action

Use the TypeScript SDK for a single call. Put `ctx.tools.execute(...)` inside a Play when the call should be durable, scheduled, or run across a CSV.

```ts theme={null}
import { Deepline } from 'deepline';

const deepline = await Deepline.connect();
const result = await deepline.tools.execute(
  'limadata_batch_ad_audiences',
  {
    "urls": [
      "https://example.com"
    ]
  },
);

console.log(result.toolResponse.raw);
```

### CLI

```bash theme={null}
deepline tools execute limadata_batch_ad_audiences --input '{
  "urls": [
    "https://example.com"
  ]
}' --json
```

## Example response

The static output schema is not detailed enough to generate a reliable example. Use `deepline tools get limadata_batch_ad_audiences --json` for the complete live contract.

## Input reference

Transforms B2B targeting lists (LinkedIn profiles or work emails) into high-converting B2C ad network audiences optimized for Meta, Google Ads, TikTok, X, Snapchat, and Pinterest. > BETA - This endpoint is currently in beta and may be subject to change. Submits an asynchronous batch job (up to 100,000 URLs) to resolve profile inputs into platform-normalized, multi-signal SHA-256 hashed identifiers formatted to meet exact target network upload specifications. #### Higher Match Rates Combines all available hashed data points (work/personal emails, E.164/digits phone numbers, name & location demographics) and outputs pre-formatted, network-aligned rows for maximum audience match rates. #### How it works 1. Submit up to 100,000 LinkedIn profile URLs and an optional `target_network` 2. Receive a `batch_id` immediately (202 Accepted) 3. Poll status and results from See the live schema below for the complete notes.

| Name                       | Type     | Required | Default | Details            |
| -------------------------- | -------- | -------- | ------- | ------------------ |
| `payload.name`             | `string` | No       | —       | —                  |
| `payload.urls`             | `array`  | Yes      | —       | Minimum length: 1. |
| `payload.target_network`   | `string` | No       | —       | —                  |
| `payload.notification_url` | `string` | No       | —       | —                  |

<details>
  <summary>Show raw input schema</summary>

  ### Input JSON Schema

  ```json theme={null}
  {
    "type": "object",
    "description": "Transforms B2B targeting lists (LinkedIn profiles or work emails) into high-converting B2C ad network audiences optimized for Meta, Google Ads, TikTok, X, Snapchat, and Pinterest. > BETA - This endpoint is currently in beta and may be subject to change. Submits an asynchronous batch job (up to 100,000 URLs) to resolve profile inputs into platform-normalized, multi-signal SHA-256 hashed identifiers formatted to meet exact target network upload specifications. #### Higher Match Rates Combines all available hashed data points (work/personal emails, E.164/digits phone numbers, name & location demographics) and outputs pre-formatted, network-aligned rows for maximum audience match rates. #### How it works 1. Submit up to 100,000 LinkedIn profile URLs and an optional `target_network` 2. Receive a `batch_id` immediately (202 Accepted) 3. Poll status and results from `/api/v2/batch/results?batch_id={batch_id}` #### Target Network Options (`target_network`) - `meta`: Pre-hashed SHA-256 rows for Meta Graph API / Conversions API. - `google`, `x`, `reddit`, `tiktok`, `linkedin`, `snapchat`, `pinterest`, `amazon`, or `universal` #### Credits - Costs `3` credits per found profile returned (charged upfront based on URL count, refunded on completion).",
    "properties": {
      "name": {
        "type": [
          "string",
          "null"
        ]
      },
      "urls": {
        "type": "array",
        "minLength": 1,
        "items": {
          "type": "string"
        }
      },
      "target_network": {
        "type": [
          "string",
          "null"
        ]
      },
      "notification_url": {
        "type": [
          "string",
          "null"
        ]
      }
    },
    "required": [
      "urls"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Output reference

Standard tool result payload.

| Name          | Type      | Required | Default | Details                                        |
| ------------- | --------- | -------- | ------- | ---------------------------------------------- |
| `result.data` | `unknown` | Yes      | —       | Provider response payload.                     |
| `result.meta` | `object`  | No       | —       | Additional response metadata (status, paging). |

<details>
  <summary>Show raw output schema</summary>

  ### Output JSON Schema

  ```json theme={null}
  {
    "type": "object",
    "description": "Standard tool result payload.",
    "properties": {
      "data": {
        "description": "Provider response payload."
      },
      "meta": {
        "type": "object",
        "description": "Additional response metadata (status, paging).",
        "additionalProperties": true
      }
    },
    "required": [
      "data"
    ],
    "additionalProperties": false
  }
  ```
</details>

## Deepline cost

* Pricing model: `per_result` (per result).
* Estimated Deepline credits: `0.28` per pricing unit.

## Related documentation

* [Limadata provider guide](/docs/providers/limadata/guide)
* [SDK V2 quickstart](/docs/sdk-v2/quickstart)
* [SDK reference](/docs/sdk-v2/sdk-reference)
* [Run tools across a CSV](/docs/sdk-v2/batch-csv)