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Google Maps photos for ML training data

Build a labelled, geotagged image set from Google Maps places: original-resolution URLs, dimensions and upload dates, one row per image.

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Google Maps Photos Scraper - All Place Photos & Videos
Google Maps Photos Scraper - All Place Photos & Videoswebdata_labs/google-maps-photos-scraper
Photo
Place
Latitude
Longitude
+4 fields
Text
Number
Boolean
List
Object

Input

Search queries:coffee shops in Austin TX+2
Max photos per place:100
Max places per search query:10
Image size:original
Keep only:photos

Output fields

Photo
Place
Latitude
Longitude
Heading
Uploaded
Type
Photo ID

How it works

Sign up on Apify or log in

The Google Maps Photos Scraper - All Place Photos & Videos Actor is ready to run with the inputs already set for "Google Maps photos for ML training data". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Google Maps photos for ML training data" task

The Google Maps Photos Scraper - All Place Photos & Videos Actor will start running based on the input automatically. You can also change all the input fields, like search queries, max photos per place, and more, to match your specific use case.

Receive the "Google Maps photos for ML training data" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as photo, place, latitude, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Google Maps photos for ML training data" task via API.

Image

Integrate "Google Maps photos for ML training data" into your workflow

Connect "Google Maps photos for ML training data" with 100+ integrations, or run it via API or MCP.

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