🏡 Google Maps Street View Scraper

Extract crystal-clear, high-resolution Google Maps Street View images for any list of addresses at scale. This Actor completely removes all Google Maps UI overlays (search bars, compress, text blocks) guaranteeing an absolute, pristine snapshot of the primary property or location from street-level context.

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🚀 Key Use Cases

Designed to bring automated visual validation to your pipelines, this tool is profoundly valuable for:

• Realtors & Real Estate Agencies: Bulk capture curb-appeal images of your MLS listings or property management portfolios without driving by or manually screenshotting every property.
• Logistics & Delivery Operations: Visually verify delivery entry points, storefronts, and loading docks ahead of time.
• Insurance Adjusters & Underwriting: Pull rapid front-facing visuals for underwriting verification and lead generation.
• Urban Planners & Market Research: Accumulate on-the-ground visual datasets of storefronts, streets, and competitive retail areas.

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✨ Features

• Pristine Image Output: Dynamically purges the WebGL scene of all distracting Google Maps UI elements before taking the snapshot. The final image is 100% clean and free of menus!
• Zero API Key Required: Bypasses the expensive Google Maps Static API costs. 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 Panorama) to 4 (Close up) to perfectly frame the property.

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🎛 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.

Example Input JSON:

{
  "addresses": "33 Ohio Ave, Norwalk, CT\n1600 Amphitheatre Parkway, Mountain View, CA",
  "zoom": 1
}

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📥 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": "33 Ohio Ave, Norwalk, CT",
  "status": "SUCCESS",
  "imageKey": "sat_33_Ohio_Ave__Norwalk__CT_a1b2c3",
  "imageUrl": "https://api.apify.com/v2/key-value-stores/.../records/sat_33_Ohio_Ave__Norwalk__CT_a1b2c3",
  "error": null
}

Note: The actual HD .png file representing the generated imageUrl will be saved concurrently in your Default Key-Value Store.