# Google Autocomplete Keyword Suggestions — SEO API (`quartz_apple_dnx/google-autocomplete-keyword-suggestions`) Actor

Collect live Google Search autocomplete keyword suggestions by country and language with optional alphabet, question, and preposition expansion. No browser, proxy, or API key.

- **URL**: https://apify.com/quartz\_apple\_dnx/google-autocomplete-keyword-suggestions.md
- **Developed by:** [Austin DeMoss](https://apify.com/quartz_apple_dnx) (community)
- **Categories:** SEO tools, Marketing, Developer tools
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.01 / 1,000 google autocomplete keyword suggestions

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 Suggestions — SEO API

Get live Google Search autocomplete suggestions from seed phrases, with optional A-Z/0-9, question-word, and preposition expansion.

This Actor is deliberately narrow and transparent. It does **not** claim search volume, CPC, keyword difficulty, ranking probability, or any other metric Google Autocomplete does not provide.

### What it does

For each seed keyword, the Actor can:

- query the seed directly;
- optionally query `seed + a-z / 0-9`;
- optionally query question forms such as `how <seed>` and `why <seed>`;
- optionally query preposition forms such as `<seed> for` and `<seed> with`;
- pass country and language hints;
- preserve per-query source rank;
- deduplicate identical suggestions across the run;
- cap source requests and result rows;
- expose the exact source URL used for every accepted suggestion.

No Google Cloud key, browser, or proxy is required.

### Example input

```json
{
  "keywords": ["best coffee maker", "home workout"],
  "language": "en",
  "country": "US",
  "expansionModes": ["alphabet", "questions"],
  "maxQueries": 150,
  "maxSuggestions": 1000,
  "concurrency": 4
}
```

Use an empty `expansionModes` array for one direct autocomplete request per seed.

### Output

Each row includes:

- `keyword` — the Google autocomplete phrase;
- `seed` — original seed;
- `rank` — accepted-result order for that seed;
- `sourceRank` — position in the exact autocomplete response;
- `sourceQuery` — query that produced it;
- `expansionType` and `expansionValue`;
- `language` and `country`;
- `searchUrl` — ready-to-open Google search;
- `sourceUrl` — exact autocomplete request URL;
- `scrapedAt` — UTC capture timestamp.

### Pricing

Pay per unique suggestion saved. Duplicate suggestions and empty valid responses are not billed as suggestion rows.

### Limitation

Autocomplete suggestions are a live Google surface and can differ by time, language, country, and Google's own systems. A suggestion is not exact search-volume evidence and should not be presented as such.

# Actor input Schema

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

One to 50 seed phrases.

## `language` (type: `string`):

Google suggestion language hint, for example en, es, de, fr.

## `country` (type: `string`):

Country/region hint such as US, GB, CA, AU, DE, MX.

## `expansionModes` (type: `array`):

Additional source queries generated from each seed. Direct seed queries always run.

## `expansionCharacters` (type: `string`):

ASCII letters/digits used when alphabet expansion is enabled.

## `maxQueries` (type: `integer`):

Hard cap on Google autocomplete requests in one run.

## `maxSuggestions` (type: `integer`):

Hard cap on unique suggestion rows saved.

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

Number of simultaneous autocomplete requests.

## `timeoutSecs` (type: `integer`):

Maximum seconds allowed for each source request.

## Actor input object example

```json
{
  "keywords": [
    "best coffee maker"
  ],
  "language": "en",
  "country": "US",
  "expansionModes": [
    "alphabet"
  ],
  "expansionCharacters": "abcdefghijklmnopqrstuvwxyz0123456789",
  "maxQueries": 500,
  "maxSuggestions": 5000,
  "concurrency": 4,
  "timeoutSecs": 15
}
```

# Actor output Schema

## `suggestions` (type: `string`):

No description

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

No description

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("quartz_apple_dnx/google-autocomplete-keyword-suggestions").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("quartz_apple_dnx/google-autocomplete-keyword-suggestions").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 '{}' |
apify call quartz_apple_dnx/google-autocomplete-keyword-suggestions --silent --output-dataset

```

## MCP server setup

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

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/ps1dvfsuTQmaA0zzv/builds/8mn4abxfOUS5MBbKe/openapi.json