# Google Images Scraper: Full-Size URLs, Sizes & Sources (`scrapemint/google-images-scraper`) Actor

Scrape Google Images by keyword: full-size image URL, width and height, file size, thumbnail, title, source site and page URL. Filter by size, type, colour, Creative Commons licence and date.

- **URL**: https://apify.com/scrapemint/google-images-scraper.md
- **Developed by:** [Ken M](https://apify.com/scrapemint) (community)
- **Categories:** SEO tools, AI
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$0.40 / 1,000 images

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 Images Scraper: Full-Size URLs, Sizes & Sources

**Google Images results as clean rows, with the original image file, not just the thumbnail.** Search by keyword and get one row per image:

- **The image:** **full-size image URL**, width and height in pixels, file size
- **Where it lives:** source site name, domain and the **page URL** that hosts it
- **Preview:** Google's thumbnail URL
- **Context:** the image title, its position in the results and Google's image ID

Use Google's own filters: **size** (large, medium, icon), **type** (photo, clip art, line drawing, GIF, face), **colour** (full colour, black and white, transparent), **Creative Commons licences** and **time** (past day, week, month, year).

### What you get

`query`, `position`, `title`, `imageUrl`, `width`, `height`, `fileSize`, `thumbnail`, `source`, `domain`, `pageUrl`, `imageId`, `scrapedAt`

### Example input

100 large images per search:

```json
{
  "queries": ["modern kitchen", "golden retriever"],
  "maxImagesPerQuery": 100,
  "size": "large"
}
```

Transparent PNG-style logos with a Creative Commons licence:

```json
{
  "queries": ["coffee cup icon"],
  "color": "transparent",
  "creativeCommonsOnly": true
}
```

### Example output

```json
{
  "query": "modern kitchen",
  "position": 61,
  "title": "Kitchen Cabinets | Fabuwood Cabinetry",
  "imageUrl": "https://www.fabuwood.com/_next/image?url=https%3A%2F%2Fimages.ctfassets.net%2F79jq1weass0y%2F4uHTWb4F2246tTuN3QJFoD%2F072ed9d67994ab1c53b4e3a7626da6a7%2FIllume_Kitchen_060926_angle_no_doors3.jpg&w=3840&q=80",
  "width": 3840,
  "height": 2160,
  "fileSize": "500KB",
  "thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR3IevJeX73NFsWYqPOiiw-lAC-zMU1iw9DkVUGTk0uZA&s=10",
  "source": "Fabuwood",
  "domain": "www.fabuwood.com",
  "pageUrl": "https://www.fabuwood.com/cabinets",
  "imageId": "e7dNBKUC_i5snM"
}
```

### Uses

- **AI and ML datasets:** labelled image URLs by keyword, with dimensions to filter on
- **Content and design research:** reference images and where they come from
- **SEO:** see which sites rank in image search for your keywords
- **Brand monitoring:** find where your product photos or logo appear
- **Pair it with** [Google Shopping Price Tracker](https://apify.com/scrapemint/google-shopping-price-tracker) for product images with prices

### Notes

- Google returns about 50 images per page; more per search reads further pages.
- Image URLs point to the original sites. Check each image's licence before reusing it.

### Pricing

- **$0.0004** per image (that is $0.40 per 1,000)
- No start fee.

# Actor input Schema

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

One search per line, e.g. modern kitchen, golden retriever puppy, "tesla model 3 interior".

## `maxImagesPerQuery` (type: `integer`):

Google returns 50 images per page; more reads further pages.

## `size` (type: `string`):

Google image size filter.

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

Photo, clip art, line drawing, GIF or face.

## `color` (type: `string`):

Full colour, black and white, or transparent background.

## `creativeCommonsOnly` (type: `boolean`):

Google's usage-rights filter. Always check the licence on the source page.

## `postedWithin` (type: `string`):

Only images Google found in this period.

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

Two-letter country code (gl), e.g. us, gb, de, in.

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

Interface language (hl), e.g. en, de, fr.

## Actor input object example

```json
{
  "queries": [
    "modern kitchen"
  ],
  "maxImagesPerQuery": 50,
  "size": "any",
  "type": "any",
  "color": "any",
  "creativeCommonsOnly": false,
  "postedWithin": "any",
  "country": "us",
  "language": "en"
}
```

# Actor output Schema

## `images` (type: `string`):

Title, full-size URL, width, height, file size, thumbnail, source and page URL.

## `summary` (type: `string`):

Images per search and pages read.

# 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": [
        "modern kitchen"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapemint/google-images-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": ["modern kitchen"] }

# Run the Actor and wait for it to finish
run = client.actor("scrapemint/google-images-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": [
    "modern kitchen"
  ]
}' |
apify call scrapemint/google-images-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scrapemint/google-images-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/Qp6RJfnHLnfth1BQo/builds/FaRHrX8farsmlt4eG/openapi.json