# Google AI Mode Scraper: Answers & Citations (`nezha/google-ai-mode-scraper`) Actor

Extract complete Google AI Mode answers with citation counts, source titles, and source URLs. Export analysis-ready results to JSON, CSV, Excel, Sheets, or the Apify API for AI visibility and competitor research.

- **URL**: https://apify.com/nezha/google-ai-mode-scraper.md
- **Developed by:** [nezha](https://apify.com/nezha) (community)
- **Categories:** SEO tools, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.40 / 1,000 structured ai mode results

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/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 AI Mode Scraper: Answers & Citations

Extract complete Google AI Mode answers, citation counts, source titles, and source URLs into structured JSON or CSV. Use repeatable queries to monitor AI visibility, compare competitors, and discover which pages Google cites.

| Query     | AI answer                                       | Citations | Source titles and URLs                       |
| --------- | ----------------------------------------------- | --------: | -------------------------------------------- |
| Octoparse | Octoparse is a no-code web scraping platform... |        15 | Octoparse, Octoparse AI, GitHub, Capterra... |

### Fastest start

```json
{
  "keywords": ["Octoparse"],
  "maxResults": 1
}
```

Leave `maxResults` at `1` for a low-cost preview. Each successful query creates one Dataset item containing the complete answer, unique citation count, source title and URL arrays, paired source objects, the Google AI Mode URL, and crawl timestamp.

### Common workflows

- Monitor brand, product, and competitor mentions in Google AI Mode.
- Measure citation share across a repeatable set of commercial queries.
- Discover publishers and pages that earn AI citations.
- Export results to CSV, Excel, Sheets, a warehouse, or the Apify API.

### Pricing

The Actor charges per successful Dataset result. Failed queries do not incur this Actor's result fee.

Retrieval uses Apify's official Google AI Mode Actor, whose upstream charge is billed separately. This Actor's structured-output fee is `$0.0400` on Free, `$0.0010` on Bronze, `$0.0006` on Silver, and `$0.0004` on Gold, Platinum, and Diamond. Combined event fees are therefore `$0.2400`, `$0.0060`, `$0.0036`, `$0.0024`, `$0.0019`, and `$0.0014` respectively, plus small start and compute charges.

### Reliability and limits

- Queries are deduplicated and blank entries are ignored.
- The default processes one query; the maximum is 100 per run.
- Results are saved only when both answer text and a source list are available.
- Google AI Mode availability and answer contents can change over time.
- No proxy, Google Cookie, login, or browser configuration is required.

# Actor input Schema

## `keywords` (type: `array`):

Queries to run in Google AI Mode. Each query produces one Dataset record.

## `maxResults` (type: `integer`):

Maximum query records to save. The default is a lightweight preview.

## Actor input object example

```json
{
  "keywords": [
    "Octoparse"
  ],
  "maxResults": 1
}
```

# Actor output Schema

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

AI answers and cited sources.

## `outputSummary` (type: `string`):

Run summary output.

## `failedRequests` (type: `string`):

Queries that still failed after retries.

# 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 = {
    "keywords": [
        "Octoparse"
    ],
    "maxResults": 1
};

// Run the Actor and wait for it to finish
const run = await client.actor("nezha/google-ai-mode-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 = {
    "keywords": ["Octoparse"],
    "maxResults": 1,
}

# Run the Actor and wait for it to finish
run = client.actor("nezha/google-ai-mode-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "Octoparse"
  ],
  "maxResults": 1
}' |
apify call nezha/google-ai-mode-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=nezha/google-ai-mode-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/JvTnM7ERvscYonDnP/builds/h0boEvYMUzpkYGfiT/openapi.json