# Google Shopping Merchant Offer Monitor (`technicaldost/google-shopping-offer-monitor`) Actor

Compare public Google Shopping product cards by keyword with normalized prices, merchants, ratings, delivery text, discounts, and run-over-run price changes.

- **URL**: https://apify.com/technicaldost/google-shopping-offer-monitor.md
- **Developed by:** [Technical Dost Solutions](https://apify.com/technicaldost) (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 shopping offer 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 Merchant Offer Monitor

Search public Google Shopping result cards and receive normalized product offers for pricing research, catalog checks, and scheduled monitoring.

Each result can include the product title, product-viewer URL, current and original price, discount percentage, currency, merchant, delivery text, rating, review count, and price-change fields. Set `onlyChanged` to suppress unchanged repeat results using the named state store.

Only real product rows written to the dataset are billable. Failed queries, duplicate cards, and unchanged offers suppressed by `onlyChanged` are not written or billed.

The Actor uses Apify's Google SERP proxy and supports validated country-specific Google domains. It does not log proxy credentials or response bodies.

### Example

```json
{
  "queries": ["wireless earbuds"],
  "maxResultsPerQuery": 20,
  "pagesPerQuery": 1,
  "googleDomain": "google.com",
  "onlyChanged": false
}
```

Use the data responsibly and comply with applicable terms and laws.

# Actor input Schema

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

Product keywords to search on Google Shopping.

## `maxResultsPerQuery` (type: `integer`):

Maximum product rows saved for each query.

## `pagesPerQuery` (type: `integer`):

Number of Google Shopping pages to request for each query.

## `googleDomain` (type: `string`):

Country-specific Google domain used for the shopping search.

## `onlyChanged` (type: `boolean`):

Suppress products whose observed price is unchanged from the named state store.

## `stateStoreName` (type: `string`):

Named key-value store used for repeat-run price comparison.

## Actor input object example

```json
{
  "queries": [
    "wireless earbuds"
  ],
  "maxResultsPerQuery": 20,
  "pagesPerQuery": 1,
  "googleDomain": "google.com",
  "onlyChanged": false,
  "stateStoreName": "google-shopping-offer-monitor-state"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

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

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("technicaldost/google-shopping-offer-monitor").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("technicaldost/google-shopping-offer-monitor").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 '{}' |
apify call technicaldost/google-shopping-offer-monitor --silent --output-dataset

```

## MCP server setup

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

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/qEpyuUOB7IZj9eais/builds/92LDtGEQAKVLUDDDC/openapi.json