# Google Shopping Scraper — Product Prices & Listings (`oneary/google-shopping-scraper`) Actor 🛒 Scrape Google Shopping product listings — extract titles, prices, seller names, ratings, shipping info, and product images. Monitor competitor pricing, analyze market trends, and optimize your e-commerce strategy. Filter by keyword, price range, and seller. Essential for retail analysts, - **URL**: https://apify.com/oneary/google-shopping-scraper.md - **Developed by:** [Luan M.](https://apify.com/oneary) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $18.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 Scraper **Extract product listings, prices, merchants, ratings, and shipping information from Google Shopping.** [![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue)](https://apify.com/) ### ✨ Features - **Price Comparison** — Compare prices across multiple merchants for the same product - **Merchant Detection** — Identify which sellers offer each product - **Ratings & Reviews** — Extract average rating and review counts - **Shipping Intelligence** — Gather shipping cost and availability info - **Filter Support** — Filter by price range, merchant, sort order, and more - **Playwright-powered** — Reliable JavaScript rendering for dynamic content - **Proxy Support** — Built-in Apify proxy integration for smooth scraping ### 📋 Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQuery` | string | `""` | Product to search for (e.g. "iPhone 15", "Nike Air Max") | | `startUrls` | array | `[]` | Custom URLs to scrape (overrides searchQuery) | | `maxResults` | integer | `50` | Maximum products to scrape | | `minPrice` | number | `0` | Minimum price filter | | `maxPrice` | number | `0` | Maximum price filter (0 = no limit) | | `sortBy` | string | `"relevance"` | Sort order: relevance, price_low, price_high, rating | | `merchant` | string | `""` | Filter by merchant name (partial match) | | `includeReviews` | boolean | `true` | Attempt to extract ratings and review counts | | `proxyConfiguration` | object | Apify proxy | Proxy settings for reliable scraping | ### 📤 Output Fields Each dataset record contains: | Field | Type | Description | |-------|------|-------------| | `position` | number | Position on the search results page | | `name` | string | Product title | | `price` | number | Extracted numeric price | | `priceRaw` | string | Raw price text including currency symbol | | `currency` | string | Currency symbol detected | | `merchant` | string | Merchant/seller name | | `rating` | number | Average rating (0–5) | | `reviewCount` | number | Number of reviews | | `shippingInfo` | string | Shipping cost or delivery info | | `imageUrl` | string | Product image URL | | `productUrl` | string | Product detail page URL | | `googleShoppingId` | string | Google Shopping product ID | | `searchUrl` | string | The search URL used | | `scrapedAt` | string | ISO timestamp of scrape | ### 🚀 Quick Start #### Via Apify platform 1. Go to the [Google Shopping Scraper](https://apify.com/) on Apify Store 2. Click **Try for free** 3. Enter your search query and configure filters 4. Run the actor 5. Export results as CSV, JSON, XML, or via API #### Via CLI ```bash ## Install dependencies npm install ## Run locally (requires Apify API token) apify run ```` ### 💡 Use Cases - **Competitive pricing analysis** — Monitor competitor prices across multiple merchants - **Shopping intelligence** — Understand market positioning and price distribution - **Deal hunting** — Find the best prices across sellers - **Merchant analysis** — Identify which merchants dominate for specific products - **Market research** — Track price trends and product availability ### 🔧 Technical Details Built with: - **Crawlee** — Web scraping framework - **Playwright** — Browser automation for JavaScript-rendered pages - **Apify SDK** — Platform integration (dataset, proxy, input/output) The scraper intelligently parses Google Shopping's dynamic layout and adapts to multiple selector variations to maximise extraction reliability. ### 📄 License Apache 2.0 # Actor input Schema ## `startUrls` (type: `array`): URLs to start scraping from. If empty, searchQuery is used instead. ## `searchQuery` (type: `string`): Product search term used when startUrls is empty. E.g. iPhone 15, Nike Air Max, coffee maker ## `maxResults` (type: `integer`): Maximum number of product listings to scrape. ## `proxyConfiguration` (type: `object`): Proxy settings. Use Apify proxy for reliable scraping. ## `minPrice` (type: `number`): Filter products with price >= this value (in USD or source currency). ## `maxPrice` (type: `number`): Filter products with price <= this value (in USD or source currency). 0 = no limit. ## `sortBy` (type: `string`): Sort order for results. ## `merchant` (type: `string`): Only show products from this merchant/seller (exact or partial match). E.g. Amazon, Walmart, Best Buy ## `includeReviews` (type: `boolean`): If true, actor will attempt to extract review count and average rating for each product. ## Actor input object example ```json { "startUrls": [], "searchQuery": "", "maxResults": 50, "proxyConfiguration": { "useApifyProxy": true }, "minPrice": 0, "maxPrice": 0, "sortBy": "relevance", "includeReviews": true } ``` # 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 = { "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("oneary/google-shopping-scraper").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 = { "proxyConfiguration": { "useApifyProxy": True } } # Run the Actor and wait for it to finish run = client.actor("oneary/google-shopping-scraper").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 '{ "proxyConfiguration": { "useApifyProxy": true } }' | apify call oneary/google-shopping-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=oneary/google-shopping-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Shopping Scraper — Product Prices & Listings", "description": "🛒 Scrape Google Shopping product listings — extract titles, prices, seller names, ratings, shipping info, and product images. Monitor competitor pricing, analyze market trends, and optimize your e-commerce strategy. Filter by keyword, price range, and seller. Essential for retail analysts,", "version": "1.0", "x-build-id": "Ng8PK2oKc8zVbrMCD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/oneary~google-shopping-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-oneary-google-shopping-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/oneary~google-shopping-scraper/runs": { "post": { "operationId": "runs-sync-oneary-google-shopping-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/oneary~google-shopping-scraper/run-sync": { "post": { "operationId": "run-sync-oneary-google-shopping-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start scraping from. If empty, searchQuery is used instead.", "default": [], "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQuery": { "title": "Search query", "type": "string", "description": "Product search term used when startUrls is empty. E.g. iPhone 15, Nike Air Max, coffee maker", "default": "" }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of product listings to scrape.", "default": 50 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Use Apify proxy for reliable scraping.", "default": { "useApifyProxy": true } }, "minPrice": { "title": "Minimum price", "minimum": 0, "type": "number", "description": "Filter products with price >= this value (in USD or source currency).", "default": 0 }, "maxPrice": { "title": "Maximum price", "minimum": 0, "type": "number", "description": "Filter products with price <= this value (in USD or source currency). 0 = no limit.", "default": 0 }, "sortBy": { "title": "Sort by", "enum": [ "relevance", "price_low", "price_high", "rating" ], "type": "string", "description": "Sort order for results.", "default": "relevance" }, "merchant": { "title": "Merchant filter", "type": "string", "description": "Only show products from this merchant/seller (exact or partial match). E.g. Amazon, Walmart, Best Buy" }, "includeReviews": { "title": "Include reviews", "type": "boolean", "description": "If true, actor will attempt to extract review count and average rating for each product.", "default": true } } }, "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 } } } } } } } } } } ```