# Companies by Google Ads Spend | B2B Advertiser List | Lens (`cocoa_cherry/lens-google-ads-spend-companies`) Actor

Build a list of companies by estimated monthly Google ads spend. Filter by country, minimum spend ($1k–$50k+/mo), and company size. Optional buyer persona matching. Not Meta/LinkedIn spend. Billed via Apify Store (pay per result).

- **URL**: https://apify.com/cocoa\_cherry/lens-google-ads-spend-companies.md
- **Developed by:** [Hans Dekker](https://apify.com/cocoa_cherry) (community)
- **Categories:** Lead generation, Marketing
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $10.00 / 1,000 results

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 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

## Companies by Google Ads Spend | B2B Advertiser List | Lens

Build a list of companies by estimated monthly Google ads spend. Filter by country, minimum spend ($1k–$50k+/mo), and company size. Optional buyer persona matching. Not Meta/LinkedIn spend. Billed via Apify Store (pay per result).

Build a list of companies by estimated monthly Google ads spend.

Apify Store Actor powered by Lens data. Results are pushed to the default dataset. **Billed via Apify** (pay per result) — no Lens account or API key required.

### Inputs

- `count`, `country`, `minSpend`
- optional `companySizes`, `includePersonas`, `personas`

### Pricing

**~$0.03 per company** (+ ~$0.03 if a persona is matched). Apify Store pay-per-result.

### Docs

https://docs.lens.ly/api/google-ads-spend-companies

### Local layout

This Actor lives under `marketplace/apify/` and shares helpers from `marketplace/apify/shared/`.
Docker build context is the `marketplace/apify` root (`dockerContextDir` in `.actor/actor.json`).

# Actor input Schema

## `count` (type: `integer`):

How many companies to return (1–5000).

## `country` (type: `array`):

Select one or more markets. US / UK / EU expand to those regions; other options are ISO country codes.

## `minSpend` (type: `string`):

Minimum estimated monthly Google ads spend threshold.

## `companySizes` (type: `array`):

Select one or more employee-count bands to include.

## `includePersonas` (type: `boolean`):

When on, also match buyer contacts at each company using Persona titles.

## `personas` (type: `array`):

Job titles to match when Find personas is on (one title per row). Example: Head of Growth, VP Marketing.

## `title` (type: `string`):

Optional display name for this run.

## Actor input object example

```json
{
  "count": 100,
  "country": [
    "US"
  ],
  "minSpend": "10000",
  "companySizes": [
    "11-50",
    "51-200",
    "201-500"
  ],
  "includePersonas": false,
  "personas": [
    "VP Marketing",
    "Head of Growth"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

All dataset items pushed by this run.

## `summary` (type: `string`):

JSON summary written to the OUTPUT key.

# 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 = {
    "count": 100,
    "country": [
        "US"
    ],
    "minSpend": "10000",
    "companySizes": [
        "11-50",
        "51-200",
        "201-500"
    ],
    "personas": [
        "VP Marketing",
        "Head of Growth"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("cocoa_cherry/lens-google-ads-spend-companies").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 = {
    "count": 100,
    "country": ["US"],
    "minSpend": "10000",
    "companySizes": [
        "11-50",
        "51-200",
        "201-500",
    ],
    "personas": [
        "VP Marketing",
        "Head of Growth",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("cocoa_cherry/lens-google-ads-spend-companies").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 '{
  "count": 100,
  "country": [
    "US"
  ],
  "minSpend": "10000",
  "companySizes": [
    "11-50",
    "51-200",
    "201-500"
  ],
  "personas": [
    "VP Marketing",
    "Head of Growth"
  ]
}' |
apify call cocoa_cherry/lens-google-ads-spend-companies --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,cocoa_cherry/lens-google-ads-spend-companies"
        }
    }
}

```

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/9w2D4dMdywwvJnIat/builds/ZYj7pDUvvWDBPde4m/openapi.json