# Google Shopping Ads Scraper: Extract Live Paid Merchant Ads (`getascraper/google-shopping-ads-scraper`) Actor Get live paid sponsored Google Shopping product ads from Google Search. Export merchant domains, pricing decimals, discount stickers, localized currencies, ranks & decrypted target landing pages under stealth. $7.99 per 1,000 saved results. - **URL**: https://apify.com/getascraper/google-shopping-ads-scraper.md - **Developed by:** [GetAScraper](https://apify.com/getascraper) (community) - **Categories:** E-commerce, Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $7.99 / 1,000 product scrapeds 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: Track Live Product Listings Across Google **Pull live, structured product listings from Google Shopping in seconds.** Get product titles, prices, ratings, review counts, delivery info, merchant names, and discount percentages for any keyword in any country. --- ### What can you do with it? - **Track competitor prices.** See who is winning the buy box today, and at what price. - **Monitor discount campaigns.** Catch every "44% OFF" or "LOW PRICE" badge the moment Google surfaces it. - **Build market intelligence.** Aggregate merchant and pricing data across thousands of product queries. - **Feed product research.** Plug structured rows into spreadsheets, BI dashboards, or downstream AI pipelines. - **Compare merchants.** See which sellers are buying ad placements for your target keywords. --- ### How to use it 1. Create a free Apify account. 2. Open the **Google Shopping Scraper** in the Apify Store. 3. Enter your product keywords (e.g., `wireless headphones`, `running shoes`). 4. Pick the country market and search language. 5. Click **Start** and download the dataset as JSON, CSV, or Excel. --- ### Input | Field | Default | Description | | --- | --- | --- | | `queries` | `["wireless headphones"]` | One or more product keywords to search. | | `countryCode` | `US` | Target country market (US, GB, JP, DE, FR, CA, AU). | | `languageCode` | `en` | Google interface language (en, ja, de, fr). | | `location` | `""` | Optional city, state, or postal area for hyper-local results. | | `maxAdsPerQuery` | `25` | Maximum number of product cards to extract per query. | --- ### Output Each row is a single product listing from the Google Shopping tab. ```json { "searchQuery": "wireless headphones", "position": 4, "productTitle": "Beats Studio Pro Wireless Headphones", "productId": "1700529733379415144", "priceText": "$169.99", "priceValue": 169.99, "currency": "USD", "originalPriceText": "$200", "originalPriceValue": 200, "discountPercent": 15, "pricePerUnitText": null, "merchant": "Best Buy", "merchantDomain": "bestbuy", "rating": 4.6, "reviewCount": 19000, "reviewCountText": "19K", "deliveryText": null, "badgeText": "LOW PRICE", "productImageUrl": null, "productDetailUrl": "https://www.google.com/search?tbm=shop&q=wireless+headphones&udm=28#fid=1700529733379415144", "categoryPath": "http://www.google.com/search?q=wireless+headphones&tbm=shop&gl=us&hl=en&safe=images", "scrapedAt": "2026-06-08T08:53:05.567Z" } ```` #### Field reference | Field | Description | | --- | --- | | `searchQuery` | The keyword that produced this listing. | | `position` | The card's left-to-right position in the Shopping tab grid. | | `productTitle` | Full product name as displayed. | | `productId` | Google's internal product identifier (`data-cid`). | | `priceText` | Raw localized price string (e.g. `$169.99`, `￥8,500`). | | `priceValue` | Numeric decimal extracted from `priceText`. | | `currency` | ISO 4217 currency code (`USD`, `EUR`, `JPY`, etc.). | | `originalPriceText` | Strikethrough or "was"-style original price if the item is on sale. | | `originalPriceValue` | Numeric decimal extracted from `originalPriceText`. | | `discountPercent` | Computed discount % between `originalPriceValue` and `priceValue`, or the % shown on a "X% OFF" badge. | | `pricePerUnitText` | Per-unit or per-pack pricing if shown (e.g. `$0.10/oz`). | | `merchant` | Seller name (e.g. `Walmart`, `Best Buy`, `Walmart - AnkerDirect`). | | `merchantDomain` | Normalized root domain of the merchant. | | `rating` | Star rating out of 5.0. | | `reviewCount` | Numeric review count (e.g. `19000` from `"19K"`). | | `reviewCountText` | Original formatted string (e.g. `19K`, `736`). | | `deliveryText` | Delivery promise (e.g. `Free delivery on $35+`, `Free delivery by Wed`). | | `badgeText` | Promotional tag (e.g. `LOW PRICE`, `44% OFF`, `Refurbished`). | | `productImageUrl` | Product image URL when available. | | `productDetailUrl` | Google Shopping tab anchor URL for the product. | | `categoryPath` | Full search URL the row was sourced from. | | `scrapedAt` | ISO timestamp of when the row was saved. | *** ### Cost Pricing is per row saved to the dataset. Empty runs cost nothing. There is no fixed fee. For a rough estimate, a single 25-card run for one keyword typically saves 25 rows. If you run 10 keywords with `maxAdsPerQuery=25`, expect 250 rows. You can monitor the row count live in the run console. *** ### Tips - **Run multiple queries in one go.** Add all your competitor terms to the `queries` array. Each query gets its own pass. - **Start broad, then narrow.** If you only need certain products, run a single broad query first, then re-run with a more specific keyword based on the merchant names you found. - **Schedule it.** Use Apify Schedules to run daily or weekly and watch for new merchants entering the buy box. *** ### Disclaimers & Support - **Disclaimer:** This Actor retrieves publicly available product listings from Google Shopping. Make sure your usage complies with Google's terms of service and applicable laws. - **Support:** Open an issue from the Actor page in the Apify Console for bug reports or feature requests. # Actor input Schema ## `queries` (type: `array`): Enter the product queries or keywords you want to check for paid ads (e.g., 'wireless headphones', 'running shoes'). ## `countryCode` (type: `string`): Select the geographical country market to fetch ads from. This controls localized ads, currencies, and merchants. ## `languageCode` (type: `string`): Select the language of the Google Search page interface. ## `location` (type: `string`): Enter a specific city, state, or postal area to retrieve localized ads (e.g., 'Chicago,Illinois,United States'). Translates programmatically to Google's uule parameter. ## `maxAdsPerQuery` (type: `integer`): Maximum number of sponsored ad cards to extract per query keyword (the carousel typically houses up to 25-40 items). ## `proxyConfiguration` (type: `object`): Rotating residential proxies are highly recommended to bypass Google WAF checks. Standard datacenter proxies will trigger CAPTCHAs. ## Actor input object example ```json { "queries": [ "wireless headphones", "running shoes" ], "countryCode": "US", "languageCode": "en", "location": "", "maxAdsPerQuery": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "queries": [ "wireless headphones", "running shoes" ], "countryCode": "US", "languageCode": "en", "location": "", "maxAdsPerQuery": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getascraper/google-shopping-ads-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 = { "queries": [ "wireless headphones", "running shoes", ], "countryCode": "US", "languageCode": "en", "location": "", "maxAdsPerQuery": 15, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getascraper/google-shopping-ads-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 '{ "queries": [ "wireless headphones", "running shoes" ], "countryCode": "US", "languageCode": "en", "location": "", "maxAdsPerQuery": 15, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getascraper/google-shopping-ads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getascraper/google-shopping-ads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Shopping Ads Scraper: Extract Live Paid Merchant Ads", "description": "Get live paid sponsored Google Shopping product ads from Google Search. Export merchant domains, pricing decimals, discount stickers, localized currencies, ranks & decrypted target landing pages under stealth. $7.99 per 1,000 saved results.", "version": "0.0", "x-build-id": "r5Q3WxFc8j60mDcTW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getascraper~google-shopping-ads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getascraper-google-shopping-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/getascraper~google-shopping-ads-scraper/runs": { "post": { "operationId": "runs-sync-getascraper-google-shopping-ads-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/getascraper~google-shopping-ads-scraper/run-sync": { "post": { "operationId": "run-sync-getascraper-google-shopping-ads-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", "required": [ "queries" ], "properties": { "queries": { "title": "Search Queries / Keywords", "type": "array", "description": "Enter the product queries or keywords you want to check for paid ads (e.g., 'wireless headphones', 'running shoes').", "default": [ "wireless headphones" ], "items": { "type": "string" } }, "countryCode": { "title": "Target Country / Market", "enum": [ "US", "GB", "JP", "DE", "FR", "CA", "AU" ], "type": "string", "description": "Select the geographical country market to fetch ads from. This controls localized ads, currencies, and merchants.", "default": "US" }, "languageCode": { "title": "Target Language", "enum": [ "en", "ja", "de", "fr" ], "type": "string", "description": "Select the language of the Google Search page interface.", "default": "en" }, "location": { "title": "Hyper-Local Location (Optional)", "type": "string", "description": "Enter a specific city, state, or postal area to retrieve localized ads (e.g., 'Chicago,Illinois,United States'). Translates programmatically to Google's uule parameter.", "default": "" }, "maxAdsPerQuery": { "title": "Max Ads Per Query", "minimum": 1, "type": "integer", "description": "Maximum number of sponsored ad cards to extract per query keyword (the carousel typically houses up to 25-40 items).", "default": 25 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Rotating residential proxies are highly recommended to bypass Google WAF checks. Standard datacenter proxies will trigger CAPTCHAs.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```