# LinkedIn Advertiser Contact Finder (`thenetaji/linkedin-advertiser-contact-finder`) Actor

Find companies advertising on LinkedIn right now and who to contact at each. An advertiser has a budget by definition — the row carries how many ads they are running, one as evidence, and the marketing leader's work email.

- **URL**: https://apify.com/thenetaji/linkedin-advertiser-contact-finder.md
- **Developed by:** [The Netaji](https://apify.com/thenetaji) (community)
- **Categories:** Lead generation, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 advertiser with a contacts

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## LinkedIn Advertiser Contact Finder

A company running ads on LinkedIn has a budget, an active campaign, and someone accountable for how it performs. That is a firmer signal than any firmographic filter, and it sits on a public page. The Actor searches LinkedIn's Ad Library for live ads, groups them by advertiser, and returns the leader whose budget the campaign sits in with their work email.

### Accepted input

| Field | Type | Default | Description |
|---|---|---|---|
| `keyword` | string | — | Required. Words in the ad creative, e.g. `demo`, or a competitor's product name. |
| `countries` | string | — | Optional country codes to restrict the search to. |
| `min_ads` | integer | `1` | Only return advertisers running at least this many matching ads. `2` filters out a one-off boosted post. |
| `verify_emails` | boolean | `false` | Confirm each address against the company's mail server. |
| `date_option` | select | — | How recent the ads must be. |
| `maxItems` | integer | `50` | Maximum advertisers to save. `0` removes the limit. |

```json
{
  "keyword": "book a demo",
  "countries": "US",
  "min_ads": 2,
  "verify_emails": true
}
```

### What comes back

One row per advertiser, not per ad. Each row carries the company, how many matching ads it is currently running, one ad as evidence with a link to it in the public Ad Library, and the contact: name, headline, seniority, LinkedIn profile, and best-match work email with a confidence score.

Rows are ordered by how many ads a company is running, which is the closest public proxy for how much it is spending.

### How the contact is chosen

Almost always the marketing leader. A recruitment ad is the exception — that budget sits with people operations, not the CMO, so those rows return an HR leader instead. `ad_function` says which was used.

`contact_basis` states on every row that this is the most senior person confirmed in that function, not someone shown to hold the budget. Nobody publishes budget ownership. Everyone returned is confirmed to hold a current role at the company; ex-employees and name-drops are excluded.

### What it cannot do

Only companies advertising through LinkedIn appear here. A company spending heavily on other channels is invisible to this.

Coverage of the contact side depends on what search engines have indexed, so smaller advertisers return fewer leaders. An advertiser where no leader can be confirmed is not returned and not charged for.

Some company domains accept mail addressed to anything, so no service can confirm a mailbox there. That is detected before anything is spent and never charged for.

### Pricing

Charged per advertiser returned with a contact. A search matching no advertisers, or only ones where nobody can be confirmed, costs nothing. The verified add-on is charged only when a mailbox is actually confirmed.

# Actor input Schema

## `keyword` (type: `string`):

Words in the ad creative, e.g. 'demo' or a competitor's product name. Companies advertising on it are the leads.

## `countries` (type: `string`):

Two-letter country code where the ad was served, for example US. One country per run.

## `min_ads` (type: `integer`):

Only return advertisers running at least this many ads. Several ads means a real campaign, not one post someone boosted.

## `verify_emails` (type: `boolean`):

Confirm each address against the company's mail server before returning it. Around 40% of company domains accept every address (catch-all), where no mailbox can be confirmed by anyone — those are reported as unverifiable rather than guessed at, and are never charged for.

## `date_option` (type: `string`):

Preset date range. Custom date range requires both Start date and End date.

## `maxItems` (type: `integer`):

Maximum advertisers to save. Set 0 for no limit.

## Actor input object example

```json
{
  "countries": "US",
  "min_ads": 2,
  "verify_emails": false,
  "maxItems": 20
}
```

# Actor output Schema

## `dataset` (type: `string`):

All records scraped by this run

# 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 = {
    "countries": "US",
    "min_ads": 2,
    "maxItems": 20
};

// Run the Actor and wait for it to finish
const run = await client.actor("thenetaji/linkedin-advertiser-contact-finder").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 = {
    "countries": "US",
    "min_ads": 2,
    "maxItems": 20,
}

# Run the Actor and wait for it to finish
run = client.actor("thenetaji/linkedin-advertiser-contact-finder").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 '{
  "countries": "US",
  "min_ads": 2,
  "maxItems": 20
}' |
apify call thenetaji/linkedin-advertiser-contact-finder --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,thenetaji/linkedin-advertiser-contact-finder"
        }
    }
}

```

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/Exrks4ea9d8sEvbaU/builds/oWxQckde1y7oI8BpH/openapi.json