Use Google Maps Restaurant Menu & Popular Dish Extractor with Python

Extract a restaurant's menu items from its Google Maps place page - dish name, photo, Popular badge, menu section, and an external menu link when the business has one.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "includePlacesWithoutMenu": true,
  "includePopularDishes": false,
  "language": "en",
  "maxItemsPerPlace": 3,
  "maxPlacesPerQuery": 1,
  "mode": "byPlace",
  "placeUrls": [
    "https://www.google.com/maps/place/Sicily+Osteria/@40.7601601,-73.9891863,17z/data=!3m1!4b1!4m6!3m5!1s0x89c25932322b79d3:0x7c085aeae6751161!8m2!3d40.7601601!4d-73.9891863"
  ]
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	optional	How to choose restaurants: paste place URLs/IDs or run a Google Maps search query.
`placeUrls`	array	optional	One restaurant per line (mode=byPlace). Accepts Google Maps place URLs, short maps.app.goo.gl links, canonical ChIJ Place IDs, and 0x…:0x… feature IDs.
`searchQueries`	array	optional	Cuisine + city queries, e.g. `italian restaurant, New York` or `sushi in Austin` (mode=bySearch). Each query returns up to Max places per query.
`maxPlacesPerQuery`	integer	optional	Maximum restaurants to process from each search query (mode=bySearch).
`maxItemsPerPlace`	integer	optional	Maximum menu rows to return for each restaurant.
`language`	string	optional	Language used for Google Maps place lookups and search results.
`includePlacesWithoutMenu`	boolean	optional	Return one summary row for a restaurant whose menu cannot be read, so every input place is accounted for.
`includePopularDishes`	boolean	optional	Also check Google's own inline menu when it is available and mark dishes Google labels Popular. This uses a browser and is slower.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/tXaH53j6e7DJ08To5/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Restaurant menu rows with dish name, section, description, price, currency, photo, menu provenance and full Google Maps place context.

Questions before you run

Which inputs are required?

No top-level fields are marked required in the published schema. Conditional requirements can still apply; check the README.

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build afN7oVipaRHfge5Pm and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.