# Brave Autocomplete Scraper (`searchapi/brave-autocomplete-scraper`) Actor

Scrapes Brave Search autocomplete/suggestions for any query. Returns real-time query completions as users type, powered by Brave's suggest API.

- **URL**: https://apify.com/searchapi/brave-autocomplete-scraper.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 search results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#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

## Brave Autocomplete Scraper

Scrapes Brave Search autocomplete/suggestions for any query. Returns real-time query completions as users type, powered by Brave's suggest API.

### What this Actor collects

Each dataset item represents one unique Brave autocomplete suggestion, with its original query, localized market, exact-match flag, length metrics, and search URL.

- Uses the input limits and filters below to control the crawl.
- Stores source-backed fields defined by the 16-field dataset schema.
- Omits optional fields when the source does not expose a value instead of writing nulls or fabricated placeholders.

### Use cases

- Keyword discovery
- Content and SEO research
- Search-demand exploration

### Input

Provide input in JSON. Fields marked required must be supplied; source-specific alternatives and constraints are described in the field text.

| Field | Type | Required | Default | Description |
| --- | --- | :---: | --- | --- |
| `query` | string | Yes | — | The partial search query to get autocomplete suggestions for. |
| `maxItems` | integer | No | `20` | Maximum number of autocomplete suggestions to return. |
| `country` | string | No | `"us"` | Brave country code for localized suggestions (e.g. 'us', 'gb', 'in', 'de'). |
| `language` | string | No | `"en"` | Brave language code (e.g. 'en', 'de', 'fr', 'hi'). |
| `maxRequestRetries` | integer | No | `3` | Retries for temporary rate limits, server errors, and network failures. |
| `requestTimeoutSecs` | integer | No | `30` | Maximum time allowed for each Brave API request. |
| `proxyConfiguration` | object | No | — | Proxy settings for the scraper. |

#### Example input

```json
{
  "query": "artificial intelligence",
  "maxItems": 8,
  "country": "us",
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": false
  },
  "maxRequestRetries": 3,
  "requestTimeoutSecs": 30
}
```

### Output

The default dataset contains one item per autocomplete suggestion. The following are the most useful fields; all values come from the suggestion response or deterministic measurements of it.

| Field | Type | Description |
| --- | --- | --- |
| `position` | integer | Position |
| `suggestion` | string | Suggestion |
| `searchQuery` | string | Search Query |
| `country` | string | Country |
| `language` | string | Language |
| `isExactMatch` | boolean | Exact Query Match |
| `wordCount` | integer | Word Count |
| `scrapedAt` | string | Scraped At |
| `type` | string | Record Type |
| `query` | string | Suggested Query |
| `resultType` | string | Result Type |
| `responseQuery` | string | API Response Query |
| `market` | string | Market |
| `characterCount` | integer | Character Count |
| `searchUrl` | string | Search URL |
| `searchMetadata` | object | Search Metadata |

<details>
<summary>All 16 declared dataset fields</summary>

`type`, `position`, `query`, `suggestion`, `resultType`, `searchQuery`, `responseQuery`, `country`, `language`, `market`
`isExactMatch`, `characterCount`, `wordCount`, `searchUrl`, `scrapedAt`, `searchMetadata`

</details>

#### Example dataset item

This compact example is taken from local Actor storage. Long text and nested collections are shortened for documentation only.

```json
{
  "position": 1,
  "suggestion": "artificial intelligence",
  "searchQuery": "artificial intelligence",
  "country": "us",
  "language": "en",
  "isExactMatch": true,
  "wordCount": 2,
  "scrapedAt": "2026-07-23T15:22:48.317Z",
  "type": "autocomplete-suggestion",
  "query": "artificial intelligence",
  "resultType": "autocompleteSuggestion",
  "responseQuery": "artificial intelligence"
}
```

### Related Actors

- [Brave AI Mode Scraper](https://apify.com/searchapi/brave-ai-mode-scraper)
- [Brave Discussions Scraper](https://apify.com/searchapi/brave-discussions-scraper)
- [Brave Goggles Scraper](https://apify.com/searchapi/brave-goggles-scraper)

# Actor input Schema

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

The partial search query to get autocomplete suggestions for.

## `maxItems` (type: `integer`):

Maximum number of autocomplete suggestions to return.

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

Brave country code for localized suggestions (e.g. 'us', 'gb', 'in', 'de').

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

Brave language code (e.g. 'en', 'de', 'fr', 'hi').

## `maxRequestRetries` (type: `integer`):

Retries for temporary rate limits, server errors, and network failures.

## `requestTimeoutSecs` (type: `integer`):

Maximum time allowed for each Brave API request.

## `proxyConfiguration` (type: `object`):

Proxy settings for the scraper.

## Actor input object example

```json
{
  "query": "artificial intelligence",
  "maxItems": 20,
  "country": "us",
  "language": "en",
  "maxRequestRetries": 3,
  "requestTimeoutSecs": 30,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

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

Canonical dataset schema for brave-autocomplete-scraper

# 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 = {
    "query": "artificial intelligence",
    "maxItems": 20,
    "country": "us",
    "language": "en",
    "proxyConfiguration": {
        "useApifyProxy": false
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("searchapi/brave-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 = {
    "query": "artificial intelligence",
    "maxItems": 20,
    "country": "us",
    "language": "en",
    "proxyConfiguration": { "useApifyProxy": False },
}

# Run the Actor and wait for it to finish
run = client.actor("searchapi/brave-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 '{
  "query": "artificial intelligence",
  "maxItems": 20,
  "country": "us",
  "language": "en",
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}' |
apify call searchapi/brave-autocomplete-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,searchapi/brave-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/notsxLEIcFDbvlPdw/builds/LRuMmK9RUTBy6nZ5a/openapi.json