# Google Images Scraper (`jobscrawler/google-images-scraper`) Actor

Scrape image search results from Google Images for any query with size, type, and region filters. Extracts image URL, title, source URL, and thumbnail — ideal for visual research, image dataset building, and web content image sourcing.

- **URL**: https://apify.com/jobscrawler/google-images-scraper.md
- **Developed by:** [Jobs Scraper](https://apify.com/jobscrawler) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

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

Scrape Google Images search results including image URLs, thumbnails, source pages, titles, and dimensions

### Features

- **Keyword search** — find content by keyword, search term, or topic
- **Configurable result limit** — set exactly how many items to collect per run
- **High-resolution media URLs** — collects direct links to full-quality images
- **Cloud-ready** — runs on Apify with scheduling, proxy rotation, and webhook support

### Use Cases

- Building curated visual datasets for AI training or curation
- Creative inspiration research and mood board tooling
- High-volume image collection for computer vision projects
- Design trend monitoring and visual benchmark analysis

### Input

| Field | Type | Default | Required | Description |
|-------|------|---------|----------|-------------|
| `query` | string | `sunset photography` | ✓ | The image search term to use |
| `maxItems` | integer | `100` |  | Maximum number of image results to retrieve |
| `gl` | string | `—` |  | The Google country to use for the query (e.g. `us`, `gb`, `in`) |
| `hl` | string | `—` |  | The Google UI language to return results (e.g. `en`, `fr`) |
| `imageSize` | string | `any` |  | Filter images by size. Options: `any`, `large`, `medium`, `icon` |
| `imageType` | string | `any` |  | Filter images by type. Options: `any`, `photo`, `clipart`, `lineart`, `animated` |
| `proxyConfiguration` | object | Apify Residential |  | Proxy settings. Residential proxy is strongly recommended |

### Output

Each scraped item includes:

| Field | Description |
|-------|-------------|
| `position` | Result rank position (1-based) |
| `imageUrl` | Full-resolution image URL |
| `thumbnailUrl` | Thumbnail image URL |
| `sourceUrl` | Web page where the image was found |
| `source` | Source attribution label |
| `sourceDomain` | Domain of the source page |
| `width` | Image width in pixels |
| `height` | Image height in pixels |
| `alt` | Alt text of the image |
| `searchQuery` | Search query used |
| `searchUrl` | Google Images search URL |
| `scrapedAt` | ISO 8601 timestamp when this item was scraped |

#### Sample Output

```json
{
  "position": 1,
  "imageUrl": "https://example.com/image.jpg",
  "thumbnailUrl": "https://encrypted-tbn0.gstatic.com/images?q=...",
  "sourceUrl": "https://www.example.com/gallery",
  "source": "example.com",
  "sourceDomain": "example.com",
  "width": 1920,
  "height": 1080,
  "alt": "Beautiful sunset over the ocean",
  "searchQuery": "sunset photography",
  "scrapedAt": "2025-01-15T10:30:00.000Z"
}
```

### Notes

- **Proxy**: Residential proxy is highly recommended — set `proxyConfiguration: { useApifyProxy: true, apifyProxyGroups: ["RESIDENTIAL"] }`
- **Image availability**: Full-resolution URLs may become unavailable over time. Save images promptly after scraping.
- **Rate limits**: Keep `maxItems` reasonable per run to avoid IP bans or rate throttling
- **Scheduling**: Use Apify Scheduler to run this actor on a recurring basis for a consistently fresh dataset

# Changelog

This Actor's version history is a separate document: https://apify.com/jobscrawler/google-images-scraper/changelog.md

# Actor input Schema

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

The image search term to use

## `maxItems` (type: `integer`):

Maximum number of image results to retrieve

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

The Google country to use for the query

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

The Google UI language to return results

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

Filter images by size

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

Filter images by type

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

Filter images by color mode

## `proxyConfiguration` (type: `object`):

Apify Proxy configuration. Use RESIDENTIAL group for best results.

## Actor input object example

```json
{
  "query": "sunset photography",
  "maxItems": 100,
  "imageSize": "any",
  "imageType": "any",
  "imageColor": "any",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Image records with URLs, thumbnails, source pages, and metadata.

# 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 = {
    "query": "sunset photography",
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("jobscrawler/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 = {
    "query": "sunset photography",
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("jobscrawler/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 '{
  "query": "sunset photography",
  "maxItems": 100
}' |
apify call jobscrawler/google-images-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jobscrawler/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/3EebR9zwdW2LhML7V/builds/FJOJhrbT92HUWhbqg/openapi.json