Google Maps Street View Scraper - High-Res Panorama Photos

🏡 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, compass, text blocks) guaranteeing an absolute, pristine snapshot of the primary property or location from street-level context.

---

🚀 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.

---

✨ Features

• Pristine Front-Facing Photos: Employs a direct panoramic resolution engine that retrieves uncompressed, high-definition street-level photography of property facades.
• Zero API Key Required: Bypasses the expensive Google Maps Static API costs.
• Multi-Region Datacenter Support: Built-in global consent handlers to ensure uninterrupted scraping across European, US, and international cloud datacenters without consent wall lockouts.
• Smart Zoom Engine: Configure your preferred visual depth! Link the zoom distance seamlessly from 0 (Default Wide Panorama) to 4 (Tight Facade Focus) to perfectly frame the property.

---

🎛 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 (Default: 0).

Example Input JSON:

{
  "addresses": "33 Ohio Ave, Norwalk, CT 06851, USA\n10 Downing Street, London, UK",
  "zoom": 1
}

---

📥 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 06851, USA",
  "status": "SUCCESS",
  "imageKey": "sv_33_Ohio_Ave__Norwalk__CT_06851__USA_4c38c3.jpg",
  "imageUrl": "https://api.apify.com/v2/key-value-stores/.../records/sv_33_Ohio_Ave__Norwalk__CT_06851__USA_4c38c3.jpg",
  "error": null
}

Note: The actual HD .jpg file representing the generated imageUrl is stored in your Default Key-Value Store and accessible publicly via the provided URL.