# Google Shopping Scraper (`thescrappa/google-shopping-scraper`) Actor

Search Google Shopping for product offers, merchants, prices, ratings, and review counts. Batch product phrases in one run to compare retail listings or monitor prices.

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

## Pricing

from $0.20 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Scraper

Collect Shopping offers for multiple phrases. Results include product names, merchants, prices, ratings, review totals, categories, and thumbnails.

### What data can you extract?

| Field | Type | Description |
| --- | --- | --- |
| `position` | Integer | Position of the offer in Google Shopping results, starting at 1. |
| `category` | String | Product category assigned to the shopping offer. |
| `title` | String | Product name displayed for this Google Shopping offer. |
| `source` | String | Merchant name selling the product. |
| `thumbnail` | String | Product image preview URL supplied with the offer. |
| `price` | String | Displayed offer price and currency when provided by the merchant. |
| `rating` | Number | Average customer rating shown for the product. |
| `reviews` | Integer | Number of customer reviews shown for the product. |
| `input_q` | String | Product search phrase submitted to Google Shopping. |
| `scraped_at` | String | UTC date and time when this shopping offer was collected. |

### Use cases

- Retail teams can compare merchant offers and displayed prices.
- E-commerce analysts can track ratings and review counts across products.
- Category managers can collect product links for assortment reviews.

### How to use

1. Add one product phrase to `queries` for each Shopping search.
2. Use `maxPages` to bound collection and `maxResults` to cap offers.
3. Compare merchant, price, rating, and review fields.

```json
{
  "queries": [
    {
      "q": "running shoes"
    }
  ],
  "maxResults": 20,
  "maxPages": 2
}
```

### Input

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| `queries` | Array\<object> | Yes | Product phrases to search in Google Shopping. |
| `queries[].q` | string | Yes per entry | Product search query. |
| `queries[].gl` | string | No | Two-letter country code. Default: us. |
| `queries[].hl` | string | No | Two-letter interface language. Default: en. |
| `queries[].location` | string | No | Location name encoded as a best-effort canonical UULE. Cannot be used with uule; provide uule directly for exact targeting. |
| `queries[].uule` | string | No | Encoded Google location. Cannot be used with location. |
| `queries[].start` | integer | No | Zero-based pagination offset. Default: 0. |
| `queries[].device` | string | No | desktop, mobile, or tablet. Default: desktop. |
| `queries[].small_business` | boolean | No | Only return small-business results. Cannot be used with shoprs. |
| `queries[].shoprs` | string | No | Opaque Google Shopping filter token. Cannot be used with small_business. |
| `gl` | string | No | Two-letter country code. Default: us. |
| `hl` | string | No | Two-letter interface language. Default: en. |
| `location` | string | No | Location name encoded as a best-effort canonical UULE. Cannot be used with uule; provide uule directly for exact targeting. |
| `uule` | string | No | Encoded Google location. Cannot be used with location. |
| `start` | integer | No | Zero-based pagination offset. Default: 0. |
| `device` | string | No | desktop, mobile, or tablet. Default: desktop. |
| `small_business` | boolean | No | Only return small-business results. Cannot be used with shoprs. |
| `shoprs` | string | No | Opaque Google Shopping filter token. Cannot be used with small_business. |
| `maxResults` | integer | No | Maximum dataset items to save across this entire run. |
| `maxPages` | integer | No | Maximum pages to request for each batch entry. |

### Output example

```json
{
  "position": 1,
  "category": "Electronics",
  "title": "Soundcore Space One Wireless Headphones",
  "source": "Soundcore Store",
  "thumbnail": "https://cdn.soundcore.com/products/space-one/black-front.jpg",
  "price": "$99.99",
  "rating": 4.6,
  "reviews": 1842,
  "input_q": "running shoes",
  "scraped_at": "2026-10-01T12:00:00Z"
}
```

### Pricing

$0.30 per 1,000 results. Apify saves one dataset item per result and applies the Actor’s per-result price to saved items.

Pagination follows the source response. Set **maxPages** per batch entry and **maxResults** across the run.

### FAQ

#### Is scraping this information legal?

Rules depend on the source, location, data type, and intended use. Check applicable laws and source terms, and make sure your workflow follows privacy and data protection requirements.

#### What limits apply?

Submit up to 100 batch entries per run. Use **maxResults** to cap saved items and **maxPages** to limit pages for each entry. Results also depend on source availability and your Scrappa API plan.

#### Can I start runs through the Apify API?

Yes. Send a POST request to `https://api.apify.com/v2/acts/thescrappa~google-shopping-scraper/runs` with your Actor input, or use an Apify client library. Read the output from the run dataset.

#### Can I connect the results to other tools?

Yes. Apify integrations and APIs can pass dataset results to Make, Zapier, n8n, Google Sheets, and other data workflows.

#### What happens when one input fails?

The Actor logs a short source error and continues with the remaining entries. Transient rate limits and gateway errors are retried; if every entry fails, the run reports an error.

#### Are prices normalized to one currency?

The Actor returns source price text. Use the displayed market and currency context when comparing offers.

### Related Scrappa Actors

- [Google Lens Visual Search Scraper](https://apify.com/thescrappa/google-lens-scraper)
- [Apple App Store Search Scraper](https://apify.com/thescrappa/apple-app-store-search-scraper)
- [Bing Search Scraper](https://apify.com/thescrappa/bing-search-scraper)

# Actor input Schema

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

Product phrases to search in Google Shopping.

## `gl` (type: `string`):

Two-letter country code. Default: us.

## `hl` (type: `string`):

Two-letter interface language. Default: en.

## `location` (type: `string`):

Location name encoded as a best-effort canonical UULE. Cannot be used with uule; provide uule directly for exact targeting.

## `uule` (type: `string`):

Encoded Google location. Cannot be used with location.

## `start` (type: `integer`):

Zero-based pagination offset. Default: 0.

## `device` (type: `string`):

desktop, mobile, or tablet. Default: desktop.

## `small_business` (type: `boolean`):

Only return small-business results. Cannot be used with shoprs.

## `shoprs` (type: `string`):

Opaque Google Shopping filter token. Cannot be used with small_business.

## `maxResults` (type: `integer`):

Maximum dataset items to save across this entire run.

## `maxPages` (type: `integer`):

Maximum pages to request for each batch entry.

## Actor input object example

```json
{
  "queries": [
    {
      "q": "running shoes"
    }
  ],
  "gl": "us",
  "hl": "en",
  "start": 0,
  "device": "desktop",
  "maxResults": 20,
  "maxPages": 2
}
```

# Actor output Schema

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

All results from this run in the default dataset.

# 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": [
        {
            "q": "running shoes"
        }
    ],
    "maxResults": 20,
    "maxPages": 2
};

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

# Prepare the Actor input
run_input = {
    "queries": [{ "q": "running shoes" }],
    "maxResults": 20,
    "maxPages": 2,
}

# Run the Actor and wait for it to finish
run = client.actor("thescrappa/google-shopping-scraper").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": [
    {
      "q": "running shoes"
    }
  ],
  "maxResults": 20,
  "maxPages": 2
}' |
apify call thescrappa/google-shopping-scraper --silent --output-dataset

```

## MCP server setup

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

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/uEeanRmComa0ISTqe/builds/mhKBE6gKWct8ZDUoG/openapi.json