Google Maps Satellite Image Scraper
Pricing
from $10.00 / 1,000 results
Google Maps Satellite Image Scraper
Converts a list of addresses into high-resolution satellite images.
Pricing
from $10.00 / 1,000 results
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Made In Germany
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🛰️ Google Maps Satellite Image Scraper
Extract crystal-clear, high-resolution Google Maps Satellite images (Top-Down view) for any list of addresses at scale. This Actor completely removes all Google Maps UI overlays (search bars, compasses, text blocks) guaranteeing an absolute, pristine snapshot of the primary property or location from the sky!
🚀 Key Use Cases
Designed to bring automated visual validation to your pipelines, this tool is profoundly valuable for:
- Realtors & Real Estate Agencies: Bulk capture top-down property boundaries and neighborhood context of your MLS listings.
- Urban Planners & Market Research: Accumulate on-the-ground visual datasets of competitive retail areas, lot sizes, and municipal planning.
- Logistics & Delivery Operations: Visually verify building dimensions, parking lots, and loading docks ahead of time.
✨ Features
- Pristine Image Output: Dynamically purges the WebGL scene of all distracting
Google Maps UIelements before taking the snapshot. The final image is 100% clean and free of menus! - Zero API Key Required: Bypasses the expensive
Google Maps Static APIcosts. The Actor natively leverages Playwright browser automation to scrape the literal user interface without incurring $40 per 1,000 images in backend API charges. - Smart Zoom Engine: Configure your preferred visual depth! Link the zoom distance seamlessly from
0 (Default View)to4 (Hyper Close up)to perfectly frame the property from above.
🎛 Input Configuration
The actor accepts the following parameters via JSON or the Apify UI block:
| Field | Type | Description |
|---|---|---|
addresses | String (textarea) | Paste a vertical list of target addresses. One line = One address. |
zoom | Integer | Setting for depth. Accepts values strictly between 0 and 4. |
📥 Output Format
The resulting data seamlessly pairs the submitted address with the direct visual outcome in your Dataset layer, outputting the exact structural mapping below:
{"address": "1600 Amphitheatre Parkway","status": "SUCCESS","imageKey": "sat_1600_Amphitheatre_Parkway_a1b2c3","imageUrl": "https://api.apify.com/v2/key-value-stores/.../records/sat_1600_Amphitheatre_Parkway_a1b2c3","error": null}
Note: The actual HD .png file representing the generated imageUrl will be saved concurrently in your Default Key-Value Store.

