Google Maps Place Photos Scraper - Images, Dates & Captions
Pricing
from $0.22 / 1,000 photos
Google Maps place photos scraper: the photos on a Google Maps place, one row per picture with an image link at the width you pick, the pixel size, upload date, caption and where the picture is pinned. Paste a Maps link, a Share link or a place id. No Google account. $0.23 per 1,000 photos.
You can access the Google Maps Place Photos Scraper - Images, Dates & Captions 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/Starbucks+Reserve+Roastery/data=!4m2!3m1!1s0x54906acdccf44db1:0x6da0c1f2d7a6736e"],10 "maxPhotosPerPlace": 30,11 "maxPhotos": 200,12 "mediaType": "all",13 "imageWidth": 1600,14 "language": "en",15 "country": "us",16}17
18# Run the Actor and wait for it to finish19run = client.actor("dami_studio/google-maps-place-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 Place Photos Scraper - Images, Dates & Captions API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-clientOther API clients include: