# Google Images API - $0.10 per 1,000 - Fast Image API (`fetch_cat/google-images-api-scraper`) Actor

Search public Google Images results and export structured image URLs, thumbnails, dimensions, source pages, ranks, and locale data for recurring research.

- **URL**: https://apify.com/fetch\_cat/google-images-api-scraper.md
- **Developed by:** [Hanna Nosova](https://apify.com/fetch_cat) (community)
- **Categories:** Developer tools, Marketing
- **Stats:** 3 total users, 2 monthly users, 85.7% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.04 / 1,000 image scrapeds

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?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## Google Images Scraper API

This Google Images scraper API searches public Google Images results and exports clean image-search metadata for recurring SEO, brand, content, and visual research. Use the Google Images API to export Google Images data as structured rows for repeatable workflows. Submit one or many queries; each result is returned as a separate dataset row with its source page and image URLs.

### What you get

- Batch keyword searches with country (`gl`) and language (`hl`) localization
- Full-size image URL, thumbnail, dimensions, source page, domain, and result rank
- Google image and result IDs, page number, and query provenance for recurring comparisons
- JSON, CSV, Excel, JSONL, API, scheduled tasks, and Apify MCP access

### Example input

```json
{
  "queries": ["golden retriever puppy", "eiffel tower at night"],
  "maxResultsPerQuery": 50,
  "gl": "us",
  "hl": "en"
}
```

`maxResultsPerQuery` is a ceiling, not a guarantee. Google can return fewer results for a niche query.

### Ready-to-run examples

Open a public example to inspect its input, run it, or reuse it as a task:

- [Export Google Images search results](https://apify.com/fetch_cat/google-images-api-scraper/examples/export-google-images-search-results)

* **Product and brand research:** use a product name, set `gl` to the market you are tracking, and begin with 25 results.
* **Localized content planning:** submit several topic queries with the same `gl` and `hl` values to compare result pages consistently.
* **Recurring monitoring:** save the same query list in the public example above and schedule it; each row retains the query, locale, page, and rank for comparison.

### Output example

```json
{
  "query": "eiffel tower at night",
  "position": 1,
  "title": "Eiffel Tower at night, Illuminations & light show - OFFICIAL ...",
  "imageUrl": "https://www.toureiffel.paris/.../4k0a9297-compressed.jpg",
  "imageWidth": 1200,
  "imageHeight": 630,
  "thumbnailUrl": "https://encrypted-tbn0.gstatic.com/...",
  "source": "La tour Eiffel",
  "domain": "www.toureiffel.paris",
  "link": "https://www.toureiffel.paris/en/the-monument/lights",
  "page": 0,
  "gl": "us",
  "hl": "en"
}
```

### Input settings

| Field | Description |
|---|---|
| `queries` | One or more Google Images search queries. |
| `maxResultsPerQuery` | Maximum image rows per query, from 1 to 1,000. |
| `gl` | Two-letter country code, such as `us`, `gb`, or `de`. |
| `hl` | Two-letter language code, such as `en`, `es`, or `de`. |
| `proxyConfiguration` | Optional Apify Proxy configuration. The Actor tries the public route directly first and uses the configured proxy after a block. |

### Output fields

| Field | Description |
|---|---|
| `query`, `position`, `page` | Submitted query, deduplicated result rank, and Google result page. |
| `title`, `source`, `domain`, `link` | Google-displayed page title, publisher, publisher domain, and source page URL. |
| `imageUrl`, `imageWidth`, `imageHeight`, `imageSize` | Original image URL and Google-reported dimensions/file-size text when present. |
| `thumbnailUrl`, `thumbnailWidth`, `thumbnailHeight` | Google thumbnail URL and dimensions when present. |
| `googleUrl`, `googleImageId`, `googleResultId` | Google reference URL and identifiers returned by the public result. |
| `gl`, `hl` | Locale requested for this row. |

### Use cases

- Monitor image-search visibility for a brand, product, or topic
- Build a list of image URLs and source pages for editorial research
- Compare localized image-search results over time
- Feed image-search metadata into AI, SEO, and content workflows

### Workflow tips

1. Start with one specific query and a modest result limit to confirm relevance.
2. Keep `gl` and `hl` fixed when comparing recurring snapshots.
3. Use multiple queries when you need a consistent export for a content calendar or brand audit.
4. Export to CSV or JSONL when downstream tools need a tabular image URL inventory.

### Data notes

Results reflect the public search page at the time of the run. Titles, source pages, image URLs, and dimensions can change after collection. An image result can point to a publisher-controlled page that later moves or restricts access; retain the returned source link for attribution and follow-up.

### Who is it for

This API is for SEO teams, content researchers, agencies, developers, and AI workflows that need repeatable Google Images result metadata rather than manual browser exports. It is especially useful when the same query set must be refreshed by market, language, or schedule.

### API usage

**Node.js**

```javascript
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('fetch_cat/google-images-api-scraper').call({
  queries: ['eiffel tower at night'], maxResultsPerQuery: 25, gl: 'us', hl: 'en',
});
const items = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.items);
```

**Python**

```python
from apify_client import ApifyClient
client = ApifyClient("<APIFY_TOKEN>")
run = client.actor("fetch_cat/google-images-api-scraper").call(run_input={
    "queries": ["eiffel tower at night"], "maxResultsPerQuery": 25, "gl": "us", "hl": "en"
})
print(client.dataset(run["defaultDatasetId"]).list_items().items)
```

**cURL**

```bash
curl -X POST "https://api.apify.com/v2/acts/fetch_cat~google-images-api-scraper/run-sync-get-dataset-items?token=$APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"queries":["eiffel tower at night"],"maxResultsPerQuery":25,"gl":"us","hl":"en"}'
```

### MCP

Add the Actor to an MCP-enabled client:

```bash
claude mcp add apify -- npx -y @apify/mcp-server
```

```json
{
  "mcpServers": {
    "apify": { "command": "npx", "args": ["-y", "@apify/mcp-server"] }
  }
}
```

Use `https://mcp.apify.com/?tools=fetch_cat/google-images-api-scraper` to scope tools to this Actor. Example prompt: “Run Google Images research for three product terms in the US and return image URLs with source domains.”

### Pricing

This Actor charges once when a run starts and once for each image result saved to the dataset. The live [Apify Pricing tab](https://apify.com/fetch_cat/google-images-api-scraper/pricing) is the source of truth for current rates and tier discounts; it shows the final amount before you run.

### Tips and limits

Use specific text queries for the most relevant results. This Actor returns public search-result metadata, not image files; follow the returned source URLs and respect each publisher’s terms and rights before downloading or reusing content. Google may rate-limit or block requests, so occasional partial results are possible.

### FAQ

**What data can I export with google images scraper?** Each row includes the requested query, rank, title, image and thumbnail URLs, available dimensions, source, domain, source link, identifiers, page, and requested locale.

**Can I run Google Images API - $0.10 per 1,000 - Fast Image API through an API, schedule, or MCP client?** Yes. Use the Node.js, Python, or cURL recipes above, save an input as an Apify task for schedules, or scope it through the MCP URL.

**How much does it cost to use Google Images API - $0.10 per 1,000 - Fast Image API?** The live Pricing tab shows the current start and per-result charge before a run begins.

**Does it download images?** No. It returns URLs and metadata only.

**Can I use multiple queries?** Yes. Every query is processed independently and retained in `query`.

### Related Actors

- [Google Images Scraper](https://apify.com/fetch_cat/google-images-scraper)
- [Google Search Results Scraper](https://apify.com/fetch_cat/google-search-results-scraper)
- [Google People Also Ask Scraper](https://apify.com/fetch_cat/google-people-also-ask-scraper)
- [Google Shopping Results Scraper](https://apify.com/fetch_cat/google-shopping-results-scraper)
- [Google News Scraper](https://apify.com/fetch_cat/google-news-scraper)

### Support

Open an issue on this Actor’s Apify page with the input JSON, expected versus actual output, a reproducible public Google Images URL, and the run ID. Never include credentials or private data.

# Actor input Schema

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

One or more image search queries. Each is searched independently.

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

Maximum results per query (up to 1,000).

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

Two-letter country code, for example us or de.

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

Two-letter language code, for example en or de.

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

A fresh residential session is used only after a direct Google request is blocked.

## Actor input object example

```json
{
  "queries": [
    "golden retriever puppy"
  ],
  "maxResultsPerQuery": 50,
  "gl": "us",
  "hl": "en",
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `overview` (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 = {
    "queries": [
        "golden retriever puppy"
    ],
    "maxResultsPerQuery": 50,
    "gl": "us",
    "hl": "en"
};

// Run the Actor and wait for it to finish
const run = await client.actor("fetch_cat/google-images-api-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": ["golden retriever puppy"],
    "maxResultsPerQuery": 50,
    "gl": "us",
    "hl": "en",
}

# Run the Actor and wait for it to finish
run = client.actor("fetch_cat/google-images-api-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": [
    "golden retriever puppy"
  ],
  "maxResultsPerQuery": 50,
  "gl": "us",
  "hl": "en"
}' |
apify call fetch_cat/google-images-api-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,fetch_cat/google-images-api-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/WSAQ8HULge9cU74CZ/builds/zmB8xTZ9zpg8l6lOx/openapi.json