# Google Products Scraper — Detail, Offers, Variants (`scrape.badger/google-products-scraper`) Actor
Fetch deep Google Shopping product details via Google's immersive product page (/async/oapv): title, brand, price, rating, review count, images, specs, categories, plus optional merchant offers and size/colour variants. Pair with google-shopping-scraper to enrich every search result.
- **URL**: https://apify.com/scrape.badger/google-products-scraper.md
- **Developed by:** [Scrape Badger](https://apify.com/scrape.badger) (community)
- **Categories:** E-commerce, Developer tools, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.00 / 1,000 product details
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 Products Scraper do?
Fetch deep Google Shopping product details via Google's immersive product page (`/async/oapv`) — title, brand, price, rating, review count, images, specs, categories — plus optional merchant offers and size / colour variants.
### Why use Google Products Scraper?
- **Deep product detail.** Full spec table, all images, categories — what Google surfaces when a tile is clicked.
- **Merchant offers.** Optional `include_offers` fetches the full competing-merchants price list.
- **Size + colour variants.** Optional `include_variants` fetches the variant matrix.
- **Batch input.** One or many `gpcid`s per run — no separate task per product.
- **Pair with Shopping.** Pipe `gpcid`s from `google-shopping-scraper` for end-to-end product enrichment.
### What data can Google Products Scraper extract?
| Field | Type | Description |
|---|---|---|
| product_id | string | Source `gpcid` |
| title | string | Product title |
| brand | string | Brand / manufacturer |
| rating | number | Star rating |
| reviews_count | number | Review count |
| price | object | `{value, currency, extracted}` |
| images | array | All product images |
| specs | object | Attribute → value map |
| categories | array | Google category path |
| offers | array | Merchant offer list (optional) |
| variants | array | Size / colour variants (optional) |
### How to scrape Google Shopping (product detail)
1. Click **Try for free**.
2. Paste one or many `gpcid`s into **Product IDs** (comma-separated).
3. Optional: `q` (original query), `gl` / `hl`.
4. Toggle `include_offers` and/or `include_variants` for deeper data.
5. Click **Start** — products stream into the dataset.
### How much will it cost?
**$0.01 per product detail (≈ $10 per 1,000 products).** `include_offers` / `include_variants` each add one sub-request, roughly doubling the per-product cost. Base = $0.01; with all toggles = ≈ $0.03.
#### Competitor benchmark
| Actor | Author | Price | Notes |
|---|---|---|---|
| emastra/google-shopping-product-details | emastra | $30 /mo subscription + CUs | Subscription required |
| apify/google-shopping-scraper | Apify | ~$4 / 1k tiles (no detail) | Shallow tiles |
| compass/crawler-google-shopping | Compass | ~$5 / 1k | Search-only |
| **scrape-badger/google-products-scraper** | **ScrapeBadger** | **$10 / 1k products** | **Only pay-per-use deep detail** |
### 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 |
|---|---|---|
| product_ids | ✅ | One `gpcid` per line, or comma-separated. |
| q | — | Original search query (improves routing). |
| gl / hl | — | Country + language. |
| include_offers | — | Fetch merchant offers list. |
| include_variants | — | Fetch size / colour variants. |
### 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
{
"product_id": "1234567890123456789",
"title": "Nike Air Max 90 \u2014 Men's",
"brand": "Nike",
"rating": 4.6,
"reviews_count": 2341,
"price": {
"value": "$120.00",
"currency": "USD",
"extracted": 120.0
},
"images": [
"https://encrypted-tbn0.gstatic.com/\u2026"
],
"specs": {
"Color": "White/Black",
"Sole material": "Rubber"
},
"categories": [
"Apparel & Accessories",
"Shoes",
"Athletic Shoes"
],
"offers": [
{
"merchant": "Nike.com",
"price": 120.0
},
{
"merchant": "Foot Locker",
"price": 115.0
}
],
"variants": [
{
"size": "10",
"color": "White/Black"
}
]
}
````
### Tips / Advanced options
- **Batch by 100-500 `gpcid`s per run.** Memory + Apify compute budget sweet spot.
- **`include_offers` is great for price comparison.** See every merchant selling the same SKU, ranked by price.
- **Not-found products are stamped, not hidden.** A `{status: empty, reason: not_found, product_id: …}` record per miss.
- **Dedupe by `product_id`.** `gpcid`s are stable across runs — perfect primary key.
### FAQ, Disclaimers, Support
#### What's a `gpcid`?
Google Shopping's product ID. Surfaced as `gpcid` on each tile returned by `google-shopping-scraper`.
#### Can I pass an ASIN or SKU instead?
No — `gpcid` is Google's own ID. Run Shopping search first, collect the `gpcid`, then feed it here.
#### Why is the price an object?
`extracted` is the numeric (cents-safe) value, `value` is the formatted string, `currency` is the ISO code. Use `extracted` for filtering/analysis.
#### What's the difference between `offers` and `variants`?
`offers` = different merchants selling the same product. `variants` = size / colour / configuration options of the same product.
#### 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-shopping-scraper`](https://apify.com/scrape-badger/google-shopping-scraper) — Source `gpcid`s via Shopping search
#### 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
## `product_ids` (type: `string`):
One or more Google Shopping product IDs (gpcid) separated by commas. Example: 1234567890123456789 or 1234567890123456789,9876543210987654321. Find gpcids in the output of google-shopping-scraper.
## `q` (type: `string`):
The query that surfaced this product. Optional but improves context blob routing accuracy.
## `gl` (type: `string`):
ISO 3166-1 alpha-2 country code (lowercase).
## `hl` (type: `string`):
Language code for the response (BCP-47, e.g. 'en', 'en-GB', 'de'). Affects result language and locale-specific labels.
## `include_offers` (type: `boolean`):
When true, also fetch /async/piu\_ps for the full merchant offers list.
## `include_variants` (type: `boolean`):
When true, also fetch /async/toy\_v for size / colour variants.
## Actor input object example
```json
{
"gl": "us",
"hl": "en",
"include_offers": false,
"include_variants": 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 = {
"product_ids": ""
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrape.badger/google-products-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 = { "product_ids": "" }
# Run the Actor and wait for it to finish
run = client.actor("scrape.badger/google-products-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 '{
"product_ids": ""
}' |
apify call scrape.badger/google-products-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrape.badger/google-products-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Products Scraper — Detail, Offers, Variants",
"description": "Fetch deep Google Shopping product details via Google's immersive product page (/async/oapv): title, brand, price, rating, review count, images, specs, categories, plus optional merchant offers and size/colour variants. Pair with google-shopping-scraper to enrich every search result.",
"version": "1.0",
"x-build-id": "h2z7pTpfxYN5kPYCE"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrape.badger~google-products-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrape.badger-google-products-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrape.badger~google-products-scraper/runs": {
"post": {
"operationId": "runs-sync-scrape.badger-google-products-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrape.badger~google-products-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrape.badger-google-products-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": [
"product_ids"
],
"properties": {
"product_ids": {
"title": "Product IDs",
"type": "string",
"description": "One or more Google Shopping product IDs (gpcid) separated by commas. Example: 1234567890123456789 or 1234567890123456789,9876543210987654321. Find gpcids in the output of google-shopping-scraper."
},
"q": {
"title": "Original search query",
"type": "string",
"description": "The query that surfaced this product. Optional but improves context blob routing accuracy."
},
"gl": {
"title": "Country",
"type": "string",
"description": "ISO 3166-1 alpha-2 country code (lowercase).",
"default": "us"
},
"hl": {
"title": "Language",
"type": "string",
"description": "Language code for the response (BCP-47, e.g. 'en', 'en-GB', 'de'). Affects result language and locale-specific labels.",
"default": "en"
},
"include_offers": {
"title": "Include merchant offers",
"type": "boolean",
"description": "When true, also fetch /async/piu_ps for the full merchant offers list.",
"default": false
},
"include_variants": {
"title": "Include size / colour variants",
"type": "boolean",
"description": "When true, also fetch /async/toy_v for size / colour variants.",
"default": false
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```