# Google Shopping Immersive (`breathtaking_turtle/google-shopping-immersive`) Actor Scrapes basic product details from a Google Shopping immersive product URL containing prds. - **URL**: https://apify.com/breathtaking\_turtle/google-shopping-immersive.md - **Developed by:** [Abinash Sonowal](https://apify.com/breathtaking_turtle) (community) - **Categories:** E-commerce - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Google Shopping Immersive Scraper Extract deep product details from a Google Shopping immersive product page — title, rating, specs/features, per-seller buying options (price, delivery, stock status), and competing products. Runs on Apify via residential proxies; no browser required. ### What it does Given a Google Shopping product URL (the kind with a `prds=` query parameter), this actor fetches the immersive product panel and parses: - **Product metadata** — title, aggregate rating, review count - **Specifications** — key–value feature attributes (e.g. RAM, Storage, Color) - **Buying options** — per-seller listings with price, currency, delivery info, and direct links - **Competing products** — related product tiles shown by Google alongside the main listing **Sample output:** ```json { "input_url": "https://www.google.com/search?prds=eto:...&q=iphone+16", "final_url": "https://www.google.com/search?prds=eto:...&ibp=oshop&hl=en&gl=in&udm=28", "title": "Apple iPhone 16 256GB", "description": "The latest iPhone with A18 chip and 48MP camera", "images": [ "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR...", "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS..." ], "rating": 4.6, "review_count": 11000, "features": { "Storage": "256 GB", "Color": "Black", "Model": "iPhone 16" }, "filters": [ { "category": "Colour", "options": [ { "name": "Black", "selected": true, "image": null }, { "name": "White", "selected": false, "image": null } ] } ], "buying_options": [ { "merchant": "Flipkart", "merchant_id": "1234", "offer_id": "abc", "title": "Apple iPhone 16 256GB", "price": "₹79,900", "currency": "INR", "old_price": "₹89,900", "target_url": "https://www.flipkart.com/...", "status": "In stock", "delivery": "Free delivery by Tomorrow", "offer_rating": 4.5, "seller_logo": null } ], "competing_products": [ { "product_id": "...", "text": "Apple iPhone 15 128GB | ₹59,900 | Flipkart" } ] } ```` ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `url` | string | **yes** | — | Google Shopping immersive product URL (must contain a `prds` query parameter) | | `country` | string | | `in` | 2-letter country code for localized results e.g. `us`, `gb`, `de` | **Example input:** ```json { "url": "https://www.google.com/search?prds=eto:12345,pid:12345&q=iphone+16", "country": "in" } ``` > **How to get the URL**: Open Google Shopping, click on any product to open its immersive panel, then copy the full URL from the browser address bar. It will contain a `prds=` parameter. ### Output A single dataset item per run containing: | Field | Type | Description | |---|---|---| | `input_url` | string | The URL provided as input | | `final_url` | string | The full URL fetched (with injected `ibp`, `hl`, `gl`, `udm` params) | | `title` | string | null | Product name | | `description` | string | null | Product description text | | `images` | array\[string] | List of product image URLs, with the primary image first | | `rating` | number | null | Aggregate rating out of 5 | | `review_count` | integer | null | Total number of reviews | | `features` | object | Key–value product specifications (e.g. `{"Storage": "256 GB"}`) | | `filters` | array | Variant filter groups (e.g. Colour, Capacity) with options and selected state | | `buying_options` | array | Per-seller listings (see below) | | `competing_products` | array | Related products shown by Google | #### `buying_options` item | Field | Type | Description | |---|---|---| | `merchant` | string | null | Seller name | | `merchant_id` | string | null | Google's internal merchant ID | | `offer_id` | string | null | Google's offer ID | | `title` | string | null | Offer-specific title if different from the product title | | `price` | string | null | Current price e.g. `₹79,900` | | `currency` | string | null | ISO 4217 currency code e.g. `INR`, `USD` | | `old_price` | string | null | Struck-through / MRP price if shown | | `target_url` | string | null | Direct link to the seller's product page | | `status` | string | null | Stock status e.g. `In stock` | | `delivery` | string | null | Delivery info e.g. `Free delivery by Tomorrow` | | `offer_rating` | number | null | Seller-level rating if shown | | `seller_logo` | string | null | Seller logo image URL if available | ### Usage notes - `rating` and `review_count` are `null` when Google does not show them for the product - `features` is an empty object `{}` when no specification attributes are present - `all_images` is an array of product image URLs; the first entry is the primary image when present - If Google returns a sparse/static page (no buying options or features), the raw HTML is saved as the `sparse-response.html` key–value store entry for debugging - Results are localized to the `country` you provide — prices, sellers, and availability will reflect that market ### Local parser testing A lightweight local harness is available for debugging HTML files. ```bash python test.py p.html ``` This loads `p.html`, parses it with `GoogleShoppingImmersiveParser`, and prints the JSON output. ### Project structure ``` . ├── main.py ## Entry point ├── src/ │ ├── scraper.py ## URL construction, HTTP fetching, block detection │ ├── parser.py ## HTML parsing (GoogleShoppingImmersiveParser) │ └── client/ │ ├── http_client.py ## Abstract HttpClient interface │ ├── proxy_http_client.py ## Apify residential proxy implementation │ └── local_http_client.py ## Local (non-proxy) implementation for dev ├── .actor/ │ ├── actor.json │ ├── input_schema.json │ └── dataset_schema.json ├── Dockerfile └── requirements.txt ``` ### Proxy requirements This actor uses **residential proxies** (`RESIDENTIAL` group) to reliably fetch Google Shopping immersive pages. Make sure residential proxy access is enabled on your Apify account. ### Cost Typically completes in under 10 seconds per run. One run consumes approximately **0.01–0.02 compute units**. # Actor input Schema ## `url` (type: `string`): Google Shopping immersive product URL containing a prds query parameter ## `country` (type: `string`): Google country code for localized results (e.g. us, gb, in) ## Actor input object example ```json { "country": "in" } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("breathtaking_turtle/google-shopping-immersive").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 = {} # Run the Actor and wait for it to finish run = client.actor("breathtaking_turtle/google-shopping-immersive").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 '{}' | apify call breathtaking_turtle/google-shopping-immersive --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=breathtaking_turtle/google-shopping-immersive", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Shopping Immersive", "description": "Scrapes basic product details from a Google Shopping immersive product URL containing prds.", "version": "0.0", "x-build-id": "0g3idIj3er1xHO8eF" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/breathtaking_turtle~google-shopping-immersive/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-breathtaking_turtle-google-shopping-immersive", "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/breathtaking_turtle~google-shopping-immersive/runs": { "post": { "operationId": "runs-sync-breathtaking_turtle-google-shopping-immersive", "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/breathtaking_turtle~google-shopping-immersive/run-sync": { "post": { "operationId": "run-sync-breathtaking_turtle-google-shopping-immersive", "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": [ "url" ], "properties": { "url": { "title": "Product URL", "type": "string", "description": "Google Shopping immersive product URL containing a prds query parameter" }, "country": { "title": "Country Code", "type": "string", "description": "Google country code for localized results (e.g. us, gb, in)", "default": "in" } } }, "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 } } } } } } } } } } ```