🔎 Google Autocomplete API: search and place suggestions as clean JSON

The most efficient, reliable, and developer-friendly way to use the Google Autocomplete API.

Actor page: apify.com/johnvc/google-autocomplete-api Input schema: apify.com/johnvc/google-autocomplete-api/input-schema

Get the autocomplete suggestions Google shows as you type, for any query, as clean structured JSON. Pass one or many partial queries and get the ranked suggestion list for each. For location and place queries, these act as fast place suggestions you can pipe straight into a Maps or Places lookup. It is the lightweight front-end for query expansion, keyword research, and resolving partial searches.

Video Walkthrough

Quick Start

Prerequisites

• Python 3.11 or higher
• An Apify account and API key (get a free key here)

1. Clone the repository

   git clone https://github.com/johnisanerd/Google-Autocomplete-API.git
   cd Google-Autocomplete-API
   

2. Install dependencies with UV

   # Install UV if you do not have it:
   curl -LsSf https://astral.sh/uv/install.sh | sh
   
   # Install project dependencies:
   uv sync
   

3. Configure your API key

   cp .env.example .env
   # Edit .env and add your Apify API key
   # Get your free API key at: https://apify.com?fpr=9n7kx3
   

4. Run the example

   uv run python google-autocomplete-api-example.py
   

Alternative: set the API key directly

export APIFY_API_TOKEN="your_api_key_here"
uv run python google-autocomplete-api-example.py

Why Use This Google Autocomplete API?

Real suggestions, not guesses. These are the exact phrases Google offers in its type-ahead box, ranked by likelihood.

Clean, structured output. Every suggestion is one row with its source query and rank, ready to load into a dataframe, a keyword tool, or an AI pipeline.

Built for batch work. Pass many seed queries and expand them all in one run.

MCP-ready. AI agents can call it as a tool through the hosted Apify MCP server to resolve a vague user request into concrete queries.

Features

Core Capabilities

• Autocomplete suggestions for one or many queries
• About ten ranked suggestions per query
• Localized by country and language
• A fast front-end for place queries before a Maps or Places lookup

Data Quality

• One clean row per suggestion, tagged with its source query and rank
• Stable JSON shape, easy to load anywhere

Usage Examples

Basic Example

{
  "queries": ["coffee near"]
}

Advanced Example

{
  "queries": ["coffee near", "best pizza in", "things to do in"],
  "gl": "us",
  "hl": "en"
}

Input Parameters

Parameter	Type	Required	Default	Description
queries	list[str]	YES	-	One or more partial queries, e.g. coffee near. Each is completed independently.
gl	str	no	"us"	Two-letter country code, e.g. us, gb, de.
hl	str	no	"en"	Two-letter language code, e.g. en, es, de.

Output Format

Each item in the dataset is one suggestion:

{
  "query": "coffee near",
  "position": 1,
  "value": "coffee near me"
}

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<!-- The five install sections below are the canonical MCP install copy. -->

Install in Claude Cowork Desktop

Cowork is the desktop app's automation mode. To give it the Google Autocomplete API as a tool, add the Apify MCP server as a connector.

1. Open the Claude desktop app and go to Settings → Connectors (or Settings → Developer → Edit Config to edit claude_desktop_config.json directly).
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Add the Apify MCP server, preloaded with only this Actor:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.apify.com/?tools=actors,docs,johnvc/google-autocomplete-api"
      ]
    }
  }
}

3. Restart the app. When Cowork first calls the tool, complete the OAuth prompt in your browser, or add your Apify API token in the connector settings to skip OAuth.
4. In a Cowork chat, confirm the tool is available and ask it to run the Google Autocomplete API.

Download the desktop app and start a free trial: https://claude.ai/referral/uIlpa7nPLg More help: https://docs.apify.com/platform/integrations/claude-desktop

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Install in Claude Code

Claude Code is the command-line tool. Add the Actor's MCP server with one command:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/google-autocomplete-api"

To use a token instead of browser OAuth:

claude mcp add --transport http apify \
  "https://mcp.apify.com/?tools=actors,docs,johnvc/google-autocomplete-api" \
  --header "Authorization: Bearer YOUR_APIFY_TOKEN"

Then verify with claude mcp list, or run /mcp inside a session. Ask Claude Code to call the Google Autocomplete API.

Try Claude Code free: https://claude.ai/referral/uIlpa7nPLg Claude Code MCP docs: https://code.claude.com/docs/en/mcp

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Install in Claude (website)

On claude.ai you add Apify as a connector, then enable just this Actor's tool.

1. Go to Settings → Connectors → Browse connectors and search for Apify MCP server. Install it (enable or update if prompted).
2. When connecting, authenticate with your Apify API token, and enable the tool johnvc/google-autocomplete-api.
3. In any chat, open + → Connectors and turn on Apify.
4. Alternatively, choose Add custom connector and paste the full MCP URL https://mcp.apify.com/?tools=actors,docs,johnvc/google-autocomplete-api, using OAuth when prompted.
5. Ask Claude to run the Google Autocomplete API.

Open Claude on the web: https://claude.ai

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Install in Cursor

Cursor reads MCP servers from a project file at .cursor/mcp.json.

1. In your project, create .cursor/mcp.json:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/google-autocomplete-api"
    }
  }
}

2. If you prefer token auth over browser OAuth, add a header:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=actors,docs,johnvc/google-autocomplete-api",
      "headers": { "Authorization": "Bearer YOUR_APIFY_TOKEN" }
    }
  }
}

3. Open Cursor → Settings → MCP and confirm the apify server is connected (green dot).
4. In Composer or Chat, ask Cursor to call the Google Autocomplete API.

New to Cursor? Get it here: https://cursor.com/referral?code=XQP4VBLI3NNX

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Install in ChatGPT

ChatGPT connects to the Apify MCP server through Developer mode (available on ChatGPT Pro, Plus, Business, Enterprise, and Education plans).

1. Click your profile icon, then go to Settings > Apps. If you do not see a Create app button, open Advanced settings and enable Developer mode.
2. Click Create app and fill out the form:
   • Name: Apify
   • MCP Server URL: https://mcp.apify.com/?tools=actors,docs,johnvc/google-autocomplete-api
   • Authentication: OAuth
3. Click Create and authorize the connection with Apify.
4. To use the app in a conversation, click + in the chat, choose Developer mode, and select Apify.

More help: https://docs.apify.com/platform/integrations/mcp

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Made with care

Use the Google Autocomplete API to expand queries and power suggestions in your product or AI agent.

Last Updated: 2026.06.14