# App Store Keyword Suggestions Scraper (`searchapi/app-store-search-suggestions`) Actor

Extract source-backed public Apple App Store search suggestions from the official search-hints plist endpoint.

- **URL**: https://apify.com/searchapi/app-store-search-suggestions.md
- **Developed by:** [Search API](https://apify.com/searchapi) (community)
- **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?

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

## App Store Search Suggestions

Discover public Apple App Store search hints for one query or a bounded query list and a supported storefront. Results are normalized and deduplicated across queries.

```json
{ "queries": ["photo editor", "fitness tracker"], "country": "us", "maxSuggestionsPerQuery": 10, "maxItems": 15, "proxyConfiguration": { "useApifyProxy": false } }
```

Each dataset row contains the suggestion, normalized value, source query/index/rank, storefront country and identifier, optional Apple-supplied search URL, source, and timestamp. Failures and no-results never become placeholder dataset rows; the fixed `OUTPUT` key reports run/request counts, bounded failure categories, and connection mode.

The Actor validates final Apple origin, HTTP status, XML content type, 1 MB response size, plist shape, and access-boundary signals before parsing. It applies hard per-query/global limits, cross-query dedupe, bounded retry/backoff/timeouts/delay, and supports direct or authorized proxy access without logging proxy credentials, headers, cookies, tokens, or raw responses. It does not bypass authentication, CAPTCHA, paywalls, regional restrictions, or other access controls.

# Changelog

This Actor's version history is a separate document: https://apify.com/searchapi/app-store-search-suggestions/changelog.md

# Actor input Schema

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

Single phrase to enter in App Store search.

## `queries` (type: `array`):

Optional list of phrases; takes precedence over query.

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

Supported two-letter Apple storefront code.

## `maxSuggestionsPerQuery` (type: `integer`):

Hard per-query hint limit.

## `limit` (type: `integer`):

Backward-compatible alias for maxSuggestionsPerQuery.

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

Hard global result limit across all queries.

## `requestDelayMs` (type: `integer`):

Delay between queries in milliseconds.

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

Maximum seconds for one Apple hints request.

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

Backward-compatible alias for requestTimeoutSecs.

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

Retries for temporary network, rate-limit, and server failures.

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

Optional authorized Apify or custom proxy configuration; credentials are never logged.

## Actor input object example

```json
{
  "query": "photo editor",
  "country": "us",
  "maxSuggestionsPerQuery": 30,
  "maxItems": 30,
  "requestDelayMs": 200,
  "requestTimeoutSecs": 30,
  "maxRequestRetries": 2
}
```

# Actor output Schema

## `dataset` (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("searchapi/app-store-search-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("searchapi/app-store-search-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 searchapi/app-store-search-suggestions --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,searchapi/app-store-search-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/bCpbFx3Pzyu84mZ6g/builds/k4unJV5mICcf5XX4J/openapi.json