# Google Autocomplete — Keyword Suggest Rows Fast (`grokbob/google-autocomplete-batch-ppe`) Actor

Batch seeds into Google Autocomplete / keyword-suggest rows for SEO expansion. From $0.30 per 1,000 useful suggest rows — empty results cost $0.

- **URL**: https://apify.com/grokbob/google-autocomplete-batch-ppe.md
- **Developed by:** [Bob](https://apify.com/grokbob) (community)
- **Categories:** SEO tools, Developer tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.30 / 1,000 successful suggest rows

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Google Autocomplete — Keyword Suggest Rows Fast

**Slug:** `google-autocomplete-batch-ppe`\
**Job:** Submit 1–N seed phrases and receive Google Autocomplete / keyword-suggest rows for SEO expansion.

**Pay per event:** **$0.0003** per successful `suggest-row` (**$0.30 per 1,000**). Platform `apify-actor-start` ~**$0.01**/run.

**No empty charge:** empty / blocked / failed seeds return status rows only.

> Live on Apify Store: https://apify.com/grokbob/google-autocomplete-batch-ppe\
> Prefer [Google Trends Scraper](https://apify.com/grokbob/google-trends-batch-ppe) for the primary SEO demand job; this Actor is keyword-expansion support.

### Pricing (live Store)

| Event | Price | Rule |
| --- | ---: | --- |
| `suggest-row` | **$0.0003** (**$0.30 / 1,000**) | Useful suggest row + charge OK |
| `apify-actor-start` | ~$0.01 | Platform only |
| EMPTY/BLOCKED/FAILED | $0 | Status row only |

### Inputs

`seeds[]`, `hl`, `gl`, `client` (firefox), `maxSuggestionsPerSeed` (10), `maxSeeds` (50), `dryRunMock`

### Local

```bash
npm install && npm test
ACTOR_TEST_MODE=mock npm start
```

UNLICENSED — GrokBob / Bob Helt.

### PARK / anti-cannibal (2026-09-24 · hive-e)

Do **not** market this as a second autocomplete Store door alongside `suggest-engines-pack-ppe`. Pack is the one AC face (Google+Bing). This slug stays a park module until metadata retire/flip under Bob unlock. Cite: `suggest-engines-pack-ppe/ABSORB_PLAN.md` · Challenge slate #8.

# Actor input Schema

## `seeds` (type: `array`):

1–N seed strings to expand via Google Autocomplete / suggest. Each seed is requested separately.

## `hl` (type: `string`):

Google suggest hl, e.g. en, es, de.

## `gl` (type: `string`):

Google suggest gl country code, e.g. us, gb, de.

## `client` (type: `string`):

Google suggest client token. Default firefox (JSON array response). Alternatives: chrome, youtube — keep firefox for stable JSON parse in v1.

## `maxSuggestionsPerSeed` (type: `integer`):

Cap suggest-rows pushed (and billable) per seed.

## `maxSeeds` (type: `integer`):

Hard cap. Excess seeds skipped with status FAILED reason=maxSeeds.

## `dryRunMock` (type: `boolean`):

When true, do not call Google. Use built-in mock fixtures. Never use in production Store runs.

## Actor input object example

```json
{
  "seeds": [
    "how to",
    "best seo",
    "empty"
  ],
  "hl": "en",
  "gl": "us",
  "client": "firefox",
  "maxSuggestionsPerSeed": 10,
  "maxSeeds": 50,
  "dryRunMock": false
}
```

# Actor output Schema

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

Flat agent-ready rows (seed, suggestion, position, status, billed).

# 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 = {
    "seeds": [
        "how to",
        "best seo",
        "empty"
    ],
    "hl": "en",
    "gl": "us"
};

// Run the Actor and wait for it to finish
const run = await client.actor("grokbob/google-autocomplete-batch-ppe").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 = {
    "seeds": [
        "how to",
        "best seo",
        "empty",
    ],
    "hl": "en",
    "gl": "us",
}

# Run the Actor and wait for it to finish
run = client.actor("grokbob/google-autocomplete-batch-ppe").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 '{
  "seeds": [
    "how to",
    "best seo",
    "empty"
  ],
  "hl": "en",
  "gl": "us"
}' |
apify call grokbob/google-autocomplete-batch-ppe --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,grokbob/google-autocomplete-batch-ppe"
        }
    }
}
```

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/iZM6KZTdWo8pNsnIy/builds/yypYzXiIJf8hl5mjQ/openapi.json