# Search Autocomplete by Market - the same seed, every market (`vital_tuxedo/search-autocomplete-by-market`) Actor

Google's own search suggestions for your seed keywords, asked once per market (language:country) so you can compare them side by side: "candle" completes differently in en:us, en:gb and de:de. Expands letter by letter. One row per suggestion per market. No login, no key, no invented volumes.

- **URL**: https://apify.com/vital\_tuxedo/search-autocomplete-by-market.md
- **Developed by:** [Stephen Psaradellis](https://apify.com/vital_tuxedo) (community)
- **Categories:** SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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?

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

../README.md

# Actor input Schema

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

The keywords to expand. Each is sent to the public autocomplete endpoint as typed, once per market; with Expand on, each is also sent followed by a space and every letter a-z and digit 0-9 (36 more queries per seed per market).

## `markets` (type: `array`):

Which markets to ask, as language:country pairs - "en:us", "en:gb", "de:de", "ja:jp". Every seed is asked once per market and each answer is its own set of rows, so the same word appearing in two markets gives you two rows and the difference between them is the point. Each market multiplies the number of queries.

## `expand` (type: `boolean`):

Also query each seed followed by a space and each of a-z, 0-9. This is what surfaces the long tail ("candle w" -> "candle warmer", "candle wedding favour"). On by default; 36 extra queries per seed per market.

## `depth` (type: `integer`):

0: the seeds only. 1: seeds plus their letter-by-letter expansion (when Expand is on). 2: additionally query every suggestion found so far as a seed of its own, in the market that produced it. Depth 2 can be hundreds of queries per seed; bound it with Max queries.

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

Stop after this many autocomplete requests. 0 means unbounded. Each request is one query event, whether or not it returns anything - an empty answer is evidence too.

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

Stop after this many rows have been pushed. 0 means unbounded. Each row is one suggestion-row event; the same suggestion in a second market is a second row.

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

How many autocomplete requests are in flight at once. Keep it low; the endpoint is asked politely.

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

A request that does not answer within this many seconds is retried, then recorded as an error.

## Actor input object example

```json
{
  "keywords": [
    "candle",
    "running shoes"
  ],
  "markets": [
    "en:us",
    "en:gb",
    "de:de"
  ],
  "expand": true,
  "depth": 1,
  "maxQueries": 30000,
  "maxSuggestions": 60000,
  "concurrency": 4,
  "timeoutSecs": 15
}
```

# Actor output Schema

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

Every suggestion, one row per market, with its seed, the exact query it came from, its position and depth.

## `runSummary` (type: `string`):

Counts for the run: seeds, markets, queries sent, empty answers, rows pushed, errors, the robots.txt reading the run was permitted by, and what stopped the run if a cap or a block did.

# 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": [
        "candle",
        "running shoes"
    ],
    "markets": [
        "en:us",
        "en:gb",
        "de:de"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("vital_tuxedo/search-autocomplete-by-market").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": [
        "candle",
        "running shoes",
    ],
    "markets": [
        "en:us",
        "en:gb",
        "de:de",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("vital_tuxedo/search-autocomplete-by-market").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 '{
  "keywords": [
    "candle",
    "running shoes"
  ],
  "markets": [
    "en:us",
    "en:gb",
    "de:de"
  ]
}' |
apify call vital_tuxedo/search-autocomplete-by-market --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,vital_tuxedo/search-autocomplete-by-market"
        }
    }
}

```

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/BJUHG1MOx7MYQTrvy/builds/9K5quMGlZbRVrwPuJ/openapi.json