Google Maps Photos Scraper | Categorized by Menu, Food, Vibe
Pricing
from $1.40 / 1,000 photos
[💰 $1.8 / 1K] Extract every photo for any Google Maps place — categorized exactly like the Maps website (Menu, Food & drink, Vibe, By owner, and more). Perfect companion to the Google Maps Scraper: paste place URLs, get a complete categorized photo library per place.
You can access the Google Maps Photos Scraper | Categorized by Menu, Food, Vibe programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "placeUrls": ["https://www.google.com/maps/place/Katz's+Delicatessen/@40.7223,-73.9874,17z/data=!3m1!4b1!4m6!3m5!1s0x89c2598f7ff4aa09:0x313547e757cb8cea!8m2!3d40.7223!4d-73.9874"],10 "placeIds": [],11 "photoCategories": ["all"],12 "maxPhotosPerPlace": 50,13 "imageSize": "original",14 "language": "en",15 "concurrentPlaces": 2,16}17
18# Run the Actor and wait for it to finish19run = client.actor("solidcode/google-maps-photos-scraper").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")23for item in client.dataset(run.default_dataset_id).iterate_items():24 print(item)25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startThe Apify API client for Python is the official library that allows you to use Google Maps Photos Scraper | Categorized by Menu, Food, Vibe API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: