# Google Street View Panorama Scraper (`jindrich.bar/street-view-panorama`) Actor Fetches Google Street View tiles for a location and stitches them into a single panorama image. No API key required! - **URL**: https://apify.com/jindrich.bar/street-view-panorama.md - **Developed by:** [Jindřich Bär](https://apify.com/jindrich.bar) (community) - **Categories:** Developer tools, Travel, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.05 / panorama (low res) This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Street View Panorama Scraper An Apify actor that fetches Google Street View tiles for a given coordinate, stitches them into a single equirectangular panorama (JPEG), and stores the image plus its address metadata. Both official Google Street View imagery and user-contributed photo spheres are supported. Photo spheres often have a smaller native resolution than full Google panoramas, so the actor reads each panorama's `imageWidth`/`imageHeight` from metadata and computes the per-panorama max zoom — the requested `q` is clamped down accordingly so the output is always a complete image. ### Example ```json { "lat": 40.7579787, "lon": -73.9881175, "q": 3 } ```` | Image | Location | Latitude | Longitude | |---|---|---|---| | ![](https://api.apify.com/v2/key-value-stores/SX1h9dfMwe6eIp4mb/records/streetview_CAoSF0NJSE0wb2dLRUlDQWdJQzQ3NmZCdVFF_z2.jpg?signature=1hiGu4tIn5aWnbs6l0Ubd) | 1560, Broadway, Manhattan, New York, New York County, United States, 10036 | 40.75846516956224 | -73.98532660198624 | ### Input | Field | Type | Required | Default | Description | |-------|---------|----------|---------|----------------------------------------------------------------------------------------------------------------------------| | `lat` | number | yes | — | Latitude in decimal degrees, range `-90`–`90`, e.g. `50.0696892`. | | `lon` | number | yes | — | Longitude in decimal degrees, range `-180`–`180`, e.g. `14.4487853`. | | `q` | integer | no | `3` | Tile zoom level, `0`–`5`. Higher = more tiles fetched (~4× per step). Capped at the panorama's own native max zoom. | Example: ```json { "lat": -8.910389095292661, "lon": -140.10269950082167, "q": 3 } ``` #### Quality levels The exact tile count depends on the panorama's native resolution. For a standard Google panorama (16384×8192 px): | `q` | Tile grid (max) | Output size (max) | |-----|-----------------|-------------------| | 0 | 1×1 | 512×512 px | | 1 | 2×1 | 1024×512 px | | 2 | 4×2 | 2048×1024 px | | 3 | 8×4 | 4096×2048 px | | 4 | 16×8 | 8192×4096 px | User-contributed photo spheres are typically smaller and will be returned at their native resolution if `q` exceeds it. ### Output **Key-value store** The stitched panorama is stored as `streetview__z.jpg`. **Dataset** One row per run, with the following fields: | Field | Type | Description | |------------|---------|----------------------------------------------------------------------------| | `imageUrl` | string | Public URL of the panorama JPEG in the key-value store. | | `location` | string? | Human-readable address joined from the panorama's address components. | | `lat` | number | Latitude of the actual panorama (snapped to the nearest pano). | | `lon` | number | Longitude of the actual panorama (snapped to the nearest pano). | Example: ```json { "imageUrl": "https://api.apify.com/v2/key-value-stores//records/.jpg", "location": "3VQW+VRR, Taioha'e, Nuku Hiva, Marquesas Islands, French Polynesia", "lat": -8.910389095292661, "lon": -140.10269950082167 } ``` ### Notes - The metadata search radius is 500 m. If the coordinate is far from any indexed panorama the run fails with `no Street View panorama near this location`. - Tiles that 404 (occasionally seen near the seams of partial panoramas) are skipped so the rest of the image still renders. - Output is a flat equirectangular JPEG; pair it with a panorama viewer (e.g. `pannellum`, `marzipano`) for an interactive 360° experience. # Actor input Schema ## `lat` (type: `number`): Latitude in decimal degrees, e.g. 40.75846516956224 ## `lon` (type: `number`): Longitude in decimal degrees, e.g. -73.98532660198624 ## `q` (type: `integer`): Tile zoom level: 0 = thumbnail (1×1 tile), 4 = highest detail (up to 8192x4096 px). Each step ~4× more tiles fetched. ## Actor input object example ```json { "lat": 40.75846516956224, "lon": -73.98532660198624, "q": 3 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "lat": 40.75846516956224, "lon": -73.98532660198624, "q": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("jindrich.bar/street-view-panorama").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "lat": 40.75846516956224, "lon": -73.98532660198624, "q": 3, } # Run the Actor and wait for it to finish run = client.actor("jindrich.bar/street-view-panorama").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "lat": 40.75846516956224, "lon": -73.98532660198624, "q": 3 }' | apify call jindrich.bar/street-view-panorama --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jindrich.bar/street-view-panorama", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Street View Panorama Scraper", "description": "Fetches Google Street View tiles for a location and stitches them into a single panorama image. No API key required!", "version": "0.0", "x-build-id": "AqdSO1Tc4iBfNN4jO" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jindrich.bar~street-view-panorama/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jindrich.bar-street-view-panorama", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jindrich.bar~street-view-panorama/runs": { "post": { "operationId": "runs-sync-jindrich.bar-street-view-panorama", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jindrich.bar~street-view-panorama/run-sync": { "post": { "operationId": "run-sync-jindrich.bar-street-view-panorama", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "lat", "lon" ], "properties": { "lat": { "title": "Latitude", "minimum": -90, "maximum": 90, "type": "number", "description": "Latitude in decimal degrees, e.g. 40.75846516956224" }, "lon": { "title": "Longitude", "minimum": -180, "maximum": 180, "type": "number", "description": "Longitude in decimal degrees, e.g. -73.98532660198624" }, "q": { "title": "Quality (Street View tile zoom level)", "minimum": 0, "maximum": 4, "type": "integer", "description": "Tile zoom level: 0 = thumbnail (1×1 tile), 4 = highest detail (up to 8192x4096 px). Each step ~4× more tiles fetched.", "default": 3 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```