# Google Search & Ad Library Scraper | Lens (`cocoa_cherry/lens-social-google`) Actor

Run Google search and Ad Library lookups (ads, advertisers, company ads). Billed via Apify Store (pay per result).

- **URL**: https://apify.com/cocoa\_cherry/lens-social-google.md
- **Developed by:** [Hans Dekker](https://apify.com/cocoa_cherry) (community)
- **Categories:** Social media, Automation
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 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

## Google Search & Ad Library Scraper | Lens

Run Google search and Ad Library lookups (ads, advertisers, company ads). Billed via Apify Store (pay per result).

Run Google search and Ad Library lookups (ads, advertisers, company ads). Billed via Apify Store (pay per result).

Apify Store Actor powered by Lens Social API. Select an endpoint, fill the required query params for that endpoint, and results land in the default dataset.

**Billed via Apify** (pay per result) — no Lens account or API key required.

### Bulk

Pass `handles` (profile-style endpoints) or `urls` (tweet/post/page endpoints) — up to **1000** items per run. One dataset row (and PPE charge) per successful item. Failures are listed in the `OUTPUT` summary and are not charged. Optional `concurrency` (default 5).

### Endpoints (4)

- `/v1/google/ad` — Ad Details
- `/v1/google/adLibrary/advertisers/search` — Advertiser Search
- `/v1/google/company/ads` — Company Ads
- `/v1/google/search` — Search

### Docs

https://docs.lens.ly/api/social/google

### Local layout

This Actor lives under `marketplace/apify/wave-4/` and shares helpers from `marketplace/apify/shared/`.

# Actor input Schema

## `endpoint` (type: `string`):

Which Google social endpoint to call.

## `url` (type: `string`):

The url of the ad. Used by /v1/google/ad.

## `query` (type: `string`):

The query to search for. Used by 2 endpoints — required only for some (see endpoint docs).

## `cursor` (type: `string`):

Cursor to paginate through results. Used by /v1/google/company/ads.

## `page` (type: `integer`):

Page number to retrieve. Used by /v1/google/search.

## `region` (type: `string`):

2-letter country code to search in. Defaults to US when omitted. Used by 3 endpoints — required only for some (see endpoint docs).

## `advertiser_id` (type: `string`):

The advertiser id of the company. Used by /v1/google/company/ads.

## `cache_max_age` (type: `string`):

If we have a response in the cache that is this many days old or newer, return the cached response (0 credits, with "cached": true and a "cached\_at" timestamp). Otherwise, scrape a live result (1 credit). [See the Caching page for details.](https://docs.scrapecreators.com/caching). Used by /v1/google/ad.

## `date_posted` (type: `string`):

Date posted. Used by /v1/google/search.

## `domain` (type: `string`):

The domain of the company. Used by /v1/google/company/ads.

## `end_date` (type: `string`):

End date to search for. Format: YYYY-MM-DD. Used by /v1/google/company/ads.

## `format` (type: `string`):

Ad format to search for. Used by /v1/google/company/ads.

## `get_ad_details` (type: `string`):

Set to true to get the ad details. Will cost 25 credits. Used by /v1/google/company/ads.

## `platform` (type: `string`):

Platform to search for. Used by /v1/google/company/ads.

## `start_date` (type: `string`):

Start date to search for. Format: YYYY-MM-DD. Used by /v1/google/company/ads.

## `topic` (type: `string`):

The topic to search for. If you search for 'political', you will also need to pass a 'region', like 'US' or 'AU'. Used by /v1/google/company/ads.

## `urls` (type: `array`):

Bulk mode: up to 1000 URLs for url-based endpoints (e.g. tweet, community). One dataset row per URL. Overrides singular Url when set.

## `concurrency` (type: `integer`):

Parallel Lens calls during bulk runs (1–20, default 5).

## Actor input object example

```json
{
  "endpoint": "/v1/google/search",
  "query": "NASA",
  "concurrency": 5
}
```

# Actor output Schema

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

Dataset items from this run.

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

JSON summary in the key-value store 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 = {
    "endpoint": "/v1/google/search",
    "query": "NASA"
};

// Run the Actor and wait for it to finish
const run = await client.actor("cocoa_cherry/lens-social-google").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 = {
    "endpoint": "/v1/google/search",
    "query": "NASA",
}

# Run the Actor and wait for it to finish
run = client.actor("cocoa_cherry/lens-social-google").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 '{
  "endpoint": "/v1/google/search",
  "query": "NASA"
}' |
apify call cocoa_cherry/lens-social-google --silent --output-dataset

```

## MCP server setup

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

```

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/UP2NMgPhS8Ub2NMbR/builds/j4P8JeoRDxZHIr9hp/openapi.json