# Google Maps Menu Scraper — Menus & Allergens, No API Key (`nomad-agent/google-maps-menu-scraper-managed`) Actor
Turn any Google Maps place into a structured menu: fetches the place's menu photos and AI-parses every dish — translated name, price, atomic ingredients, EU-14 allergens with confidence, dietary type, nutrition estimates and origin story. No API keys needed, AI cost included in the price.
- **URL**: https://apify.com/nomad-agent/google-maps-menu-scraper-managed.md
- **Developed by:** [Nomad.Dev](https://apify.com/nomad-agent) (community)
- **Categories:** AI, Travel
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $15.00 / 1,000 dish extracteds
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
## Google Maps Menu Scraper — Place → Structured Menu API
Give it a Google Maps place URL (or place ID) and get back the restaurant's
**menu as structured data** — no website scraping, no PDF parsing. The actor
collects the **Menu** photos that guests and owners uploaded to the place and
AI-parses them into one record per dish:
- `name` (translated to your language) + `originalName` (as printed)
- `category`, `price` (with currency, as shown)
- `ingredients` — atomic base ingredients, each with an English database
name, translated display name, and **EU-14 allergens with confidence**
(gluten, crustaceans, eggs, fish, peanuts, soy, milk, nuts, celery,
mustard, sesame, sulfites, lupin, molluscs)
- `dietaryType` — Vegan / Vegetarian / Pescetarian / Other, with explanation
- `nutritionInfo` — estimated serving size, calories, protein, fat, carbs
- `story` — origin story / cultural significance
- `isAlcoholic` for beverages
### No API keys needed
Photo fetching and AI parsing both run on our managed keys, and their cost is
already included in the per-dish price. No Google AI Studio signup, no
Outscraper account, no proxy configuration — paste a place, get a menu.
### Why this actor
Generic Google Maps scrapers give you reviews and opening hours. This one
answers the question they can't: **what can I actually eat there?** Built
from the production pipeline of a dietary-restrictions travel app, so the
allergen and dietary classification prompts are battle-tested on real menus
in 15 languages.
### Input example
```json
{
"placeUrls": ["https://www.google.com/maps/place/Katz's+Delicatessen,+205+E+Houston+St,+New+York"],
"language": "en",
"maxMenuPhotos": 8
}
````
Bare place IDs (`ChIJ…`) and plain place names (`Katz's Delicatessen New
York`) work too.
### Notes
- Places with no menu photos on Google Maps yield a non-billed diagnostic
row explaining why.
- Already have menu photo URLs? Use the companion **AI Restaurant Menu
Parser** actor. Want the place's food photos matched to these dishes?
Chain the **Restaurant Dish Photo Matcher** actor.
- Prefer to pay Google and Outscraper directly and control your own quota?
The **Google Maps Menu Scraper (BYO keys)** actor is the same scraper at a
lower per-dish price, with `geminiApiKey` / `outscraperApiKey` inputs.
# Actor input Schema
## `placeUrls` (type: `array`):
Google Maps place URLs, bare place IDs (ChIJ…), or plain place names (e.g. Katz's Delicatessen New York — resolved via Maps search). One structured menu is extracted per place.
## `geminiModel` (type: `string`):
Model used to read the menu photos. The AI cost is included in the price either way.
## `language` (type: `string`):
Language for dish names, descriptions, stories and allergen summaries (ingredient database names stay English).
## `maxMenuPhotos` (type: `integer`):
How many of the place's menu photos are sent to the AI. 8 covers most menus; raise it for very long menus.
## Actor input object example
```json
{
"placeUrls": [
"Katz's Delicatessen New York"
],
"geminiModel": "gemini-3.5-flash",
"language": "en",
"maxMenuPhotos": 8
}
```
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"placeUrls": [
"Katz's Delicatessen New York"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("nomad-agent/google-maps-menu-scraper-managed").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "placeUrls": ["Katz's Delicatessen New York"] }
# Run the Actor and wait for it to finish
run = client.actor("nomad-agent/google-maps-menu-scraper-managed").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"placeUrls": [
"Katz'\''s Delicatessen New York"
]
}' |
apify call nomad-agent/google-maps-menu-scraper-managed --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=nomad-agent/google-maps-menu-scraper-managed",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Maps Menu Scraper — Menus & Allergens, No API Key",
"description": "Turn any Google Maps place into a structured menu: fetches the place's menu photos and AI-parses every dish — translated name, price, atomic ingredients, EU-14 allergens with confidence, dietary type, nutrition estimates and origin story. No API keys needed, AI cost included in the price.",
"version": "0.1",
"x-build-id": "fHjaA85lhAxKq7zEM"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/nomad-agent~google-maps-menu-scraper-managed/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-nomad-agent-google-maps-menu-scraper-managed",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/nomad-agent~google-maps-menu-scraper-managed/runs": {
"post": {
"operationId": "runs-sync-nomad-agent-google-maps-menu-scraper-managed",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/nomad-agent~google-maps-menu-scraper-managed/run-sync": {
"post": {
"operationId": "run-sync-nomad-agent-google-maps-menu-scraper-managed",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"placeUrls"
],
"properties": {
"placeUrls": {
"title": "Google Maps places",
"type": "array",
"description": "Google Maps place URLs, bare place IDs (ChIJ…), or plain place names (e.g. Katz's Delicatessen New York — resolved via Maps search). One structured menu is extracted per place.",
"items": {
"type": "string"
}
},
"geminiModel": {
"title": "Gemini model",
"enum": [
"gemini-3.5-flash",
"gemini-3.1-flash-lite"
],
"type": "string",
"description": "Model used to read the menu photos. The AI cost is included in the price either way.",
"default": "gemini-3.5-flash"
},
"language": {
"title": "Output language",
"enum": [
"en",
"es",
"fr",
"de",
"it",
"pt",
"ru",
"zh",
"ja",
"ko",
"ar",
"hi",
"uk",
"ka",
"eu"
],
"type": "string",
"description": "Language for dish names, descriptions, stories and allergen summaries (ingredient database names stay English).",
"default": "en"
},
"maxMenuPhotos": {
"title": "Max menu photos per place",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "How many of the place's menu photos are sent to the AI. 8 covers most menus; raise it for very long menus.",
"default": 8
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```