# Google Shopping Scraper — Prices, Ratings, Offers (`scrape.badger/google-shopping-scraper`) Actor
Scrape Google Shopping at scale: product titles, prices, ratings, reviews, thumbnails, merchant source, delivery, on-sale tags, and native Google IDs (gpcid / product\_id) ready to pipe into product-detail enrichment.
- **URL**: https://apify.com/scrape.badger/google-shopping-scraper.md
- **Developed by:** [Scrape Badger](https://apify.com/scrape.badger) (community)
- **Categories:** E-commerce, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $3.00 / 1,000 shopping pages
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
### What does Google Shopping Scraper do?
Scrape [Google Shopping](https://shopping.google.com) product tiles at scale — title, price, rating, review count, merchant, thumbnail, direct link — with full filter support (price range, free shipping, on sale, condition).
### Why use Google Shopping Scraper?
- **Full Google Shopping filter set.** Price range, free shipping, on sale, used/new, sort order.
- **Per-product enrichment path.** Pipe each `gpcid` through `google-products-scraper` for deep product detail.
- **200+ country domains.** `gl` + `hl` for local pricing and merchants.
- **Pagination.** Up to 10 pages per run, stops early when Google runs out.
- **Each tile as its own record.** Stream-friendly output — one product per dataset row.
### What data can Google Shopping Scraper extract?
| Field | Type | Description |
|---|---|---|
| title | string | Product title |
| price | object | `{value, currency, extracted}` |
| rating | number | Star rating (when available) |
| reviews | number | Review count |
| merchant | string | Store name |
| thumbnail | string | Image URL |
| link | string | Direct product URL |
| gpcid | string | Google Shopping's product ID (for `google-products-scraper`) |
| position | number | Rank within the page |
### How to scrape Google Shopping
1. Click **Try for free**.
2. Enter your search query in `q`.
3. Optional: set `min_price` / `max_price`, `sort_by`, `free_shipping`, `on_sale`.
4. Set `gl` for the country (default `us`).
5. Set `max_pages` — each page is ≈ 40 tiles.
6. Click **Start** — each product tile streams into the dataset.
### How much will it cost?
**$3 per 1,000 pages (≈ $0.075 per 1,000 product tiles).** One API call per page. A 3-page run returns ≈ 120 tiles for $0.009.
#### Competitor benchmark
| Actor | Author | Price | Notes |
|---|---|---|---|
| emastra/google-shopping-scraper | emastra | $30/mo subscription + CUs | Subscription floor |
| apify/google-search-scraper | Apify | ~$4 / 1k tiles | SERP actor with Shopping block |
| compass/crawler-google-shopping | Compass | ~$5 / 1k | Search-only |
| **scrape-badger/google-shopping-scraper** | **ScrapeBadger** | **$3 / 1k pages** | **Pay-per-use, full filter set** |
### Input
Configure the run in the **Input** tab above, or pass a JSON object matching the fields below when calling the Actor via the Apify API.
| Field | Required | Description |
|---|---|---|
| q | ✅ | Product query. |
| gl | — | Country (default `us`). |
| hl | — | Language (default `en`). |
| min_price / max_price | — | Price range in local currency. |
| sort_by | — | Google's sort modes. |
| free_shipping / on_sale | — | Boolean filters. |
| max_pages | — | 1-10, default 3. |
### Output
Every successful run streams records into the run's dataset. Download as JSON, CSV, XML, Excel, or HTML from the **Dataset** tab; consume programmatically via the Apify API or webhooks.
Example record:
```json
{
"title": "Nike Air Max 90",
"price": {
"value": "$119.99",
"currency": "USD",
"extracted": 119.99
},
"rating": 4.5,
"reviews": 2341,
"merchant": "Nike.com",
"thumbnail": "https://encrypted-tbn0.gstatic.com/shopping?q=\u2026",
"link": "https://www.nike.com/t/\u2026",
"gpcid": "1234567890123456789",
"position": 1
}
````
### Tips / Advanced options
- **Enrich with `google-products-scraper`.** Pipe each `gpcid` for specs, offers, variants — full immersive product detail.
- **Use `on_sale: true` for deal tracking.** Pair with a daily scheduler for price-drop alerts.
- **Sort by `review_score` for quality.** Avoid tiles with few reviews — Google's sort controls help.
- **Country matters for pricing.** `gl: uk` returns GBP and UK merchants; `gl: de` returns EUR and DE merchants.
### FAQ, Disclaimers, Support
#### What's `gpcid`?
Google Shopping's product ID. It's the input for `google-products-scraper` to get full product details (specs, offers, variants).
#### Does this include sponsored tiles?
Yes — the output includes organic and sponsored tiles together. Filter by `ad: true` downstream if you need to separate.
#### Why is the price an object?
`extracted` is the numeric value (cents-safe), `value` is the original formatted string, `currency` is the ISO code. The numeric field is what you want for filtering/analysis.
#### Can I search by product image?
No — Google Shopping is text-search only. For visual search use `google-lens-scraper`.
#### Disclaimer
This Actor scrapes public Google data only. You're responsible for compliance with Google's Terms of Service and any applicable data-protection laws (GDPR, CCPA, etc.) in your jurisdiction. ScrapeBadger does not store the scraped results — they are delivered directly to your Apify dataset.
#### Support
Something not working? Open a ticket in the **Issues** tab above — we triage within one business day. Full API reference: [docs.scrapebadger.com](https://docs.scrapebadger.com).
#### Related Actors
- [`google-products-scraper`](https://apify.com/scrape-badger/google-products-scraper) — Deep product detail per `gpcid`
- [`google-search-scraper`](https://apify.com/scrape-badger/google-search-scraper) — SERP with inline Shopping block
#### Powered by
[ScrapeBadger](https://scrapebadger.com) — Google-optimised residential proxy pool + browser-farm fallback, 99.7% uptime, unmetered bandwidth. No CAPTCHAs reach you.
# Actor input Schema
## `q` (type: `string`):
Product search terms. Example: laptop, running shoes men size 10, iphone 15 pro max.
## `gl` (type: `string`):
ISO 3166-1 alpha-2 country code (lowercase). Controls which country's Shopping results are returned. Example: us, gb, de.
## `hl` (type: `string`):
ISO 639-1 language code. Example: en, es, de.
## `domain` (type: `string`):
Google domain to hit. Example: google.com, google.co.uk, google.de.
## `max_pages` (type: `integer`):
How many pages to fetch. Each page is a separate API call (costs 1 credit). Each page returns up to ~60 product tiles.
## `min_price` (type: `integer`):
Lower price bound in the local currency of gl. Optional.
## `max_price` (type: `integer`):
Upper price bound in the local currency of gl. Optional.
## `sort_by` (type: `string`):
How Google should sort results. Leave blank for Google's default relevance order.
## `free_shipping` (type: `boolean`):
Restrict to offers with free shipping.
## `on_sale` (type: `boolean`):
Restrict to offers currently on sale.
## `safe` (type: `string`):
Safe-search filter level.
## `nfpr` (type: `boolean`):
When true, Google will not auto-correct the query ("Did you mean…?").
## `lr` (type: `string`):
Restrict results to a specific language. Example: lang\_en. Optional.
## `tbs` (type: `string`):
Google's internal tbs filter string. Overrides other filters if set. Optional.
## `shoprs` (type: `string`):
Google Shopping's internal shoprs helper token — copied from a Google Shopping URL. Optional.
## Actor input object example
```json
{
"q": "laptop",
"gl": "us",
"hl": "en",
"domain": "google.com",
"max_pages": 3,
"free_shipping": false,
"on_sale": false,
"safe": "off",
"nfpr": false
}
```
# Actor output Schema
## `dataset` (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 = {
"q": "laptop"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrape.badger/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 = { "q": "laptop" }
# Run the Actor and wait for it to finish
run = client.actor("scrape.badger/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 '{
"q": "laptop"
}' |
apify call scrape.badger/google-shopping-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrape.badger/google-shopping-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Shopping Scraper — Prices, Ratings, Offers",
"description": "Scrape Google Shopping at scale: product titles, prices, ratings, reviews, thumbnails, merchant source, delivery, on-sale tags, and native Google IDs (gpcid / product_id) ready to pipe into product-detail enrichment.",
"version": "1.0",
"x-build-id": "TTJdANptk3241a6Q3"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrape.badger~google-shopping-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrape.badger-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrape.badger~google-shopping-scraper/runs": {
"post": {
"operationId": "runs-sync-scrape.badger-google-shopping-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrape.badger~google-shopping-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrape.badger-google-shopping-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"required": [
"q"
],
"properties": {
"q": {
"title": "Search query",
"type": "string",
"description": "Product search terms. Example: laptop, running shoes men size 10, iphone 15 pro max."
},
"gl": {
"title": "Country",
"type": "string",
"description": "ISO 3166-1 alpha-2 country code (lowercase). Controls which country's Shopping results are returned. Example: us, gb, de.",
"default": "us"
},
"hl": {
"title": "Language",
"type": "string",
"description": "ISO 639-1 language code. Example: en, es, de.",
"default": "en"
},
"domain": {
"title": "Google domain",
"type": "string",
"description": "Google domain to hit. Example: google.com, google.co.uk, google.de.",
"default": "google.com"
},
"max_pages": {
"title": "Max pages",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "How many pages to fetch. Each page is a separate API call (costs 1 credit). Each page returns up to ~60 product tiles.",
"default": 3
},
"min_price": {
"title": "Minimum price",
"minimum": 0,
"type": "integer",
"description": "Lower price bound in the local currency of gl. Optional."
},
"max_price": {
"title": "Maximum price",
"minimum": 0,
"type": "integer",
"description": "Upper price bound in the local currency of gl. Optional."
},
"sort_by": {
"title": "Sort order",
"enum": [
"price_low",
"price_high",
"rating",
"reviews"
],
"type": "string",
"description": "How Google should sort results. Leave blank for Google's default relevance order."
},
"free_shipping": {
"title": "Free shipping only",
"type": "boolean",
"description": "Restrict to offers with free shipping.",
"default": false
},
"on_sale": {
"title": "On sale only",
"type": "boolean",
"description": "Restrict to offers currently on sale.",
"default": false
},
"safe": {
"title": "Safe search",
"enum": [
"off",
"active"
],
"type": "string",
"description": "Safe-search filter level.",
"default": "off"
},
"nfpr": {
"title": "Disable autocorrect",
"type": "boolean",
"description": "When true, Google will not auto-correct the query (\"Did you mean…?\").",
"default": false
},
"lr": {
"title": "Language restrict",
"type": "string",
"description": "Restrict results to a specific language. Example: lang_en. Optional."
},
"tbs": {
"title": "Raw tbs filter",
"type": "string",
"description": "Google's internal tbs filter string. Overrides other filters if set. Optional."
},
"shoprs": {
"title": "Raw shoprs token",
"type": "string",
"description": "Google Shopping's internal shoprs helper token — copied from a Google Shopping URL. Optional."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```