# Google Autocomplete Scraper — Suggestions (`scrape.badger/google-autocomplete-scraper`) Actor

Scrape Google's autocomplete / suggestions endpoint at scale. Returns up to 10 suggestions per seed, enriched with Knowledge Graph entity_name + thumbnail when Google surfaces them. Supports bulk seeds (one run = many queries). Ideal for SEO keyword research, long-tail discovery, and entity mapping.

- **URL**: https://apify.com/scrape.badger/google-autocomplete-scraper.md
- **Developed by:** [ScrapeBadger](https://apify.com/scrape.badger) (community)
- **Categories:** SEO tools, Developer tools, Automation
- **Features:** Limited permissions
- **Stats:** 147 total users, 56 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 1,000 autocomplete calls

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

### What does Google Autocomplete Scraper do?

Scrape Google's autocomplete / suggestions endpoint at scale — up to 10 suggestions per seed, enriched with Knowledge Graph `entity_name` and `thumbnail` when Google surfaces them. Perfect for SEO long-tail keyword discovery.

### Why use Google Autocomplete Scraper?

- **Bulk seeds.** Paste many seeds — each runs one autocomplete call.
- **Alphabet expand.** Fan each seed into 36 child queries (`seed a`, `seed b`, …) — up to 360 long-tail ideas per seed.
- **Knowledge Graph enrichment.** Suggestions for companies / people / movies / stocks carry entity_name + thumbnail.
- **200+ country domains.** Local-market long-tail discovery with `gl`.
- **Dirt cheap.** $0.50 / 1k calls.

### What data can Google Autocomplete Scraper extract?

| Field | Type | Description |
|---|---|---|
| seed | string | Input query that produced this suggestion |
| query | string | Actual query sent to Google (= seed unless alphabet-expanded) |
| value | string | Suggestion text |
| entity_name | string | Knowledge Graph entity name (when surfaced) |
| thumbnail | string | KG thumbnail URL (when surfaced) |
| position | number | Rank within the seed's suggestion list |

### How to scrape Google Autocomplete

1. Click **Try for free**.
2. Paste one or many seed queries into **Seed queries** (one per line).
3. Optional: toggle `alphabet_expand` for 36× fan-out per seed.
4. Set `gl` / `hl` for the country + language.
5. Click **Start** — suggestions stream into the dataset, tagged with source seed.

### How much will it cost?

**$0.0005 per call (≈ $0.50 per 1,000 calls).** Without `alphabet_expand`: 1 seed = 1 call. With it: 1 seed = 36 calls. Budget accordingly — 100 seeds × alphabet_expand = 3,600 calls ≈ $1.80.

#### Competitor benchmark

| Actor | Author | Price | Notes |
|---|---|---|---|
| apify/google-search-scraper | Apify | ~$3.50 / 1k pages | Autocomplete not natively supported |
| Keyword-research SaaS (Ahrefs, Semrush) | — | $99-$449 /mo subscription | Subscription model |
| **scrape-badger/google-autocomplete-scraper** | **ScrapeBadger** | **$0.50 / 1k calls** | **Pay-per-use, KG enrichment** |

### Input

Configure the run in the **Input** tab above, or pass a JSON object matching the fields below when calling the Actor via the Apify API.

| Field | Required | Description |
|---|---|---|
| seeds | ✅ | One seed per line, or comma-separated. |
| alphabet_expand | — | Fan each seed into 36 child queries (default `false`). |
| gl | — | Country code (default `us`). |
| hl | — | Language code (default `en`). |

### Output

Every successful run streams records into the run's dataset. Download as JSON, CSV, XML, Excel, or HTML from the **Dataset** tab; consume programmatically via the Apify API or webhooks.

Example record:

```json
[
  {
    "seed": "apple",
    "query": "apple",
    "value": "apple stock",
    "position": 1
  },
  {
    "seed": "apple",
    "query": "apple",
    "value": "apple store",
    "entity_name": "Apple Inc.",
    "thumbnail": "https://\u2026",
    "position": 2
  },
  {
    "seed": "apple",
    "query": "apple",
    "value": "apple tv",
    "position": 3
  }
]
```

### Tips / Advanced options

- **Alphabet expand for SEO research.** `seed = best running shoes` → fan out into 36 → 360 long-tail keyword ideas. Beats Ahrefs for breadth.
- **Knowledge Graph entities = brand queries.** Suggestions with `entity_name` are brand/product/person searches — higher commercial intent.
- **Cron for trend tracking.** Suggestions shift hourly — daily runs capture what's trending in your niche.
- **Pair with `google-search-scraper`.** Expand seeds → rank each suggestion's SERP → find content gaps.

### FAQ, Disclaimers, Support

#### What's `alphabet_expand`?

Google's autocomplete returns different suggestions based on what you've typed so far. `alphabet_expand` queries `seed a`, `seed b`, …, `seed z`, `seed 0`, …, `seed 9` — 36 child queries per seed — so you get up to 360 distinct suggestions.

#### Why the Knowledge Graph enrichment?

Google's search box auto-surfaces entity info (company logos, movie posters) when you type a known entity. This actor captures it.

#### Can I autocomplete in different verticals (images, news)?

Not via this actor — the underlying endpoint returns web-search suggestions only.

#### Is this cheaper than Ahrefs?

Significantly — Ahrefs starts at $99/mo flat. This actor is pay-per-use from $0.0005 per call.

#### Disclaimer

This Actor scrapes public Google data only. You're responsible for compliance with Google's Terms of Service and any applicable data-protection laws (GDPR, CCPA, etc.) in your jurisdiction. ScrapeBadger does not store the scraped results — they are delivered directly to your Apify dataset.

#### Support

Something not working? Open a ticket in the **Issues** tab above — we triage within one business day. Full API reference: [docs.scrapebadger.com](https://docs.scrapebadger.com).

#### Related Actors

- [`google-search-scraper`](https://apify.com/scrape-badger/google-search-scraper) — Rank the SERPs for each suggestion
- [`google-trends-scraper`](https://apify.com/scrape-badger/google-trends-scraper) — Track search-interest over time for each suggestion

#### Powered by

[ScrapeBadger](https://scrapebadger.com) — Google-optimised residential proxy pool + browser-farm fallback, 99.7% uptime, unmetered bandwidth. No CAPTCHAs reach you.

# Changelog

This Actor's version history is a separate document: https://apify.com/scrape.badger/google-autocomplete-scraper/changelog.md

# Actor input Schema

## `seeds` (type: `string`):

One seed per line, or comma-separated. Example: <b>apple</b>, <b>best running shoes</b>. Each seed runs one autocomplete call (up to 10 suggestions back).

## `alphabet_expand` (type: `boolean`):

When true, fan each seed out into 36 child queries (<b>seed a</b>, <b>seed b</b>, …, <b>seed z</b>, <b>seed 0</b>, …, <b>seed 9</b>). Produces ~360 suggestions per seed — useful for SEO long-tail discovery.

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

ISO 3166-1 alpha-2 country code (lowercase).

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

Language code for the response (BCP-47, e.g. 'en', 'en-GB', 'de'). Affects result language and locale-specific labels.

## Actor input object example

```json
{
  "seeds": "apple\nbest vpn\nhow to",
  "alphabet_expand": false,
  "gl": "us",
  "hl": "en"
}
```

# Actor output Schema

## `dataset` (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 = {
    "seeds": `apple
best vpn
how to`
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrape.badger/google-autocomplete-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 = { "seeds": """apple
best vpn
how to""" }

# Run the Actor and wait for it to finish
run = client.actor("scrape.badger/google-autocomplete-scraper").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": "apple\\nbest vpn\\nhow to"
}' |
apify call scrape.badger/google-autocomplete-scraper --silent --output-dataset

```

## MCP server setup

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

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/aLYndGQfVzWla1sWa/builds/AZoheM1habWP6GA4Q/openapi.json