# Google Shopping Price Intelligence (`toninovo/google-shopping-price-intelligence`) Actor

Google Shopping price snapshot for competitor checks and AI agents. Returns numeric prices, merchant labels, and min, median, and max. Links are Google Shopping search references, not verified merchant offer URLs. $0.003 per delivered row.

- **URL**: https://apify.com/toninovo/google-shopping-price-intelligence.md
- **Developed by:** [ToniNovo Labs](https://apify.com/toninovo) (community)
- **Categories:** E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$3.00 / 1,000 product 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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Google Shopping price intelligence for products and competitor pricing

Google Shopping Price Intelligence turns shopping-search results into a clean dataset for **competitor price monitoring, ecommerce research, product benchmarking, and AI-agent workflows**.

Enter one or more product queries such as `wireless earbuds`, `standing desk`, or a specific model name. The Actor returns normalized product rows with numeric prices, currency, merchant, rating data when available, product links, and query-level market statistics.

Unlike a raw search-response proxy, this Actor performs normalization and analysis so the output is ready for spreadsheets, databases, BI workflows, scheduled monitoring, and downstream agents.

### Google Shopping scraper alternative for price intelligence

If you are looking for a Google Shopping scraper, Google Shopping API workflow, competitor price monitoring tool, or product price intelligence dataset, this Actor is designed for analysis-ready ecommerce data rather than raw search-response passthrough.

It normalizes product prices and merchants, removes duplicate rows, and adds query-level price statistics so the output can be used directly for competitor monitoring, product benchmarking, dashboards, scheduled research, and AI-agent workflows.

### What you get

Each delivered product can include:

- Product title and shopping rank
- Parsed numeric price and currency
- Merchant or seller
- Rating and review count when available
- Product image and product link when available
- Query-level product and merchant counts
- Minimum, median, and maximum observed price
- Price-spread percentage
- Timestamp and retry metadata

The Actor removes duplicate rows within each query before writing results to the dataset.

### Price monitoring and competitor analysis

Use repeated scheduled runs to compare the same query over time. Export datasets as JSON, CSV, Excel, XML, or Parquet using Apify's standard dataset tools.

Typical workflows include:

- Track competitor prices for a product category
- Compare sellers visible in Google Shopping
- Detect unusually wide price spreads
- Build product-pricing research datasets
- Feed fresh shopping data into an AI agent
- Create ecommerce dashboards and recurring reports

### Input

`queries` accepts up to 10 product searches per run.

`country` selects the shopping market, for example `us`, `gb`, `de`, or `au`.

`language` sets the interface language.

`limit` controls the maximum requested products per query, up to 55.

`maxAttempts` controls retry handling for temporary upstream failures.

#### Free-plan evaluation limits

To keep the free trial sustainable while still letting users inspect real output, runs started by Apify Free users are limited to **one query and up to 10 products**. Paid Apify users can use the full input limits.

### Reliability

Shopping data can occasionally require retries. The Actor uses bounded retry and backoff for transient errors rather than retrying indefinitely. Some queries can therefore take longer than others.

The number of available products depends on the search term and market. A requested limit is a maximum, not a guarantee that every query will return that many products.

### Output and API use

Results are written to the default Apify dataset and are available through Apify Console, REST API, SDKs, schedules, webhooks, integrations, and MCP-compatible workflows.

This Actor returns normalized value-added records rather than exposing an upstream API response directly.

### Responsible use

Use the data in compliance with applicable laws, platform terms, and third-party rights. Product availability, prices, sellers, and rankings can change after a run completes.

This Actor is an independent tool and is not affiliated with or endorsed by Google.

### Pricing

Price: $0.003 per delivered product result ($3 per 1,000 results).

Platform usage is included in the event price and is not charged separately.

Free Apify users receive the limited evaluation sample described above.

# Actor input Schema

## `queries` (type: `array`):

Product names, categories, or shopping searches to analyze.

## `country` (type: `string`):

Two-letter Google market country code such as us, gb, de, or au.

## `language` (type: `string`):

Google interface language code such as en or de.

## `limit` (type: `integer`):

Maximum number of shopping products requested per query. Free Apify users are capped at 10.

## `maxAttempts` (type: `integer`):

Maximum attempts for transient upstream failures. Free Apify users are capped at 2.

## Actor input object example

```json
{
  "queries": [
    "wireless earbuds"
  ],
  "country": "us",
  "language": "en",
  "limit": 55,
  "maxAttempts": 4
}
```

# Actor output Schema

## `products` (type: `string`):

Normalized Google Shopping products with prices, merchants, and price intelligence.

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "wireless earbuds"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("toninovo/google-shopping-price-intelligence").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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "queries": ["wireless earbuds"] }

# Run the Actor and wait for it to finish
run = client.actor("toninovo/google-shopping-price-intelligence").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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 earbuds"
  ]
}' |
apify call toninovo/google-shopping-price-intelligence --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,toninovo/google-shopping-price-intelligence"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/FBR160Sd7zbF2cx2u/builds/OA3gKnbf17qUvfVdL/openapi.json