# Google Image Search Results & Metadata Scraper (`nimbryxo-studio/google-image-search-results-and-metadata-scraper`) Actor

Run a Google Images search and get back full-resolution image URLs with dimensions, thumbnails, source page titles, and the web page each image came from.

- **URL**: https://apify.com/nimbryxo-studio/google-image-search-results-and-metadata-scraper.md
- **Developed by:** [Nimbryxo-studio](https://apify.com/nimbryxo-studio) (community)
- **Categories:** Automation, Developer tools, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.49 / 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.
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 Image Search Results & Metadata Scraper

Run a Google Images search for any query and get back structured results: the full-resolution image URL and dimensions, a thumbnail with its own dimensions, the source page's title, and the web page the image came from. Useful for building image datasets, tracking brand visuals, or researching what images rank for a keyword.

### What this actor does

- Searches Google Images for a single query and collects matching image results
- Returns both the full-resolution image URL and the Google-cached thumbnail, each with width/height
- Captures the source page's title and domain alongside the content page URL
- Scrolls Google's results to collect up to 500 images for a single query, stopping early when Google stops loading new ones
- If Google can't be loaded after several attempts, the same query is run on DuckDuckGo Images and then Bing Images instead, returning the same fields (records don't say which engine they came from)

### Output per image result

Every record has the same keys. When a value isn't available it comes back as `0` (dimensions) or an empty string rather than being dropped.

- `query` — the search query used
- `imageUrl` — direct URL to the full-resolution image
- `imageWidth`, `imageHeight` — full-resolution image dimensions in pixels
- `thumbnailUrl` — URL of the search engine's cached thumbnail
- `thumbnailWidth`, `thumbnailHeight` — thumbnail dimensions in pixels
- `title` — page title of the website containing the image
- `origin` — domain of the website hosting the image
- `contentUrl` — URL of the web page containing the image

### Input

| Field | Type | Default | Description |
|---|---|---|---|
| `query` | string | – | **Required.** Image search query, e.g. `"sunset landscape"`, `"product packaging design"` |
| `maxResults` | integer | `100` | Maximum number of image results to extract (1–500) |
| `proxyConfiguration` | object | – | Proxy configuration. Not enforced, but a residential proxy (the prefilled setting) is strongly recommended because Google blocks image searches from data-center IPs; without one, results are more likely to come from the fallback engines |

#### Example: default query

```json
{
  "query": "Alfons Mucha",
  "maxResults": 50
}
```

#### Example: larger result set for a product search

```json
{
  "query": "modern architecture",
  "maxResults": 300
}
```

#### Example: non-Latin script query

```json
{
  "query": "桜 日本庭園",
  "maxResults": 100
}
```

### Use cases

- **Image dataset building** — collect images for research, analysis, or model training
- **Brand monitoring** — track how a brand's visuals appear across the web
- **Competitor research** — survey competitor product photography and marketing imagery
- **Content curation** — source images for blogs, presentations, or social posts
- **Visual SEO research** — see which pages and domains rank images for a keyword

### FAQ

**How many images can I scrape per query?**
Up to 500. The default is 100. Google keeps loading images as the page scrolls, so raising `maxResults` usually gets more, until Google runs out for that query. If the run had to fall back to DuckDuckGo, only its first batch of results is collected, so expect fewer.

**Does it support non-English queries?**
Yes. Use any language, including non-Latin scripts like Japanese, Chinese, Korean, or Arabic.

**Can I run multiple queries?**
Each run searches one `query`. Run the actor again with a different query to cover additional searches, or trigger multiple runs in parallel from your own workflow.

**Why should I use a residential proxy?**
Google blocks image searches from data-center IP ranges. With the prefilled residential proxy, Google results are much more likely; without it the run may end up on the DuckDuckGo or Bing fallback, or return nothing.

**Why are `imageWidth`/`imageHeight` sometimes 0?**
The search engine doesn't expose full-resolution dimensions for every result; when a dimension isn't available, the actor reports `0` rather than guessing. Likewise `title` or `origin` can be an empty string.

**What if every engine fails?**
The dataset stays empty and the run finishes with a "Scraped 0 images" status.

**Is this affiliated with Google?**
No. This is an independent, third-party actor that reads Google's public image search results; it isn't affiliated with or endorsed by Google.

# Actor input Schema

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

Image search query (e.g., "Alfons Mucha", "sunset landscape", "cats")

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

Maximum number of image results to extract

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

Residential proxy is required — Google blocks image scraping from datacenter IPs.

## Actor input object example

```json
{
  "query": "Alfons Mucha",
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

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

Dataset containing all scraped Google Images search results.

# 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": "Alfons Mucha",
    "maxResults": 10,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("nimbryxo-studio/google-image-search-results-and-metadata-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": "Alfons Mucha",
    "maxResults": 10,
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("nimbryxo-studio/google-image-search-results-and-metadata-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": "Alfons Mucha",
  "maxResults": 10,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call nimbryxo-studio/google-image-search-results-and-metadata-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,nimbryxo-studio/google-image-search-results-and-metadata-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/iKDkm4yHl5raSnWvW/builds/fVjJeOete5myGNCX7/openapi.json