# Google Images Scraper — Tiles, Thumbnails, URLs (`scrape.badger/google-images-scraper`) Actor
Scrape Google Images at scale: up to 100 tiles per page with title, source, referrer link, thumbnail, inline preview, full-resolution URL, dimensions, file size, plus licensability flags (is\_product, is\_licensable, is\_video). Size / colour / type / time filters, 200+ country domains.
- **URL**: https://apify.com/scrape.badger/google-images-scraper.md
- **Developed by:** [Scrape Badger](https://apify.com/scrape.badger) (community)
- **Categories:** Developer tools, Automation, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
from $1.50 / 1,000 image results
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/platform/actors/running/actors-in-store#pay-per-event
## What's an Apify Actor?
Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
### What does Google Images Scraper do?
Scrape [Google Images](https://images.google.com) at scale with full filter support — size, colour, type, licence, time range. Each image tile is pushed as its own dataset record.
### Why use Google Images Scraper?
- **Full Google Images filter set.** Size, colour, type, licence, time — everything the web UI exposes.
- **Direct `original` + `thumbnail` URLs.** No more clicking-through to grab the real image.
- **200+ country domains + `safe`.** Local rankings, safe-search control.
- **Pagination.** Up to 10 pages — stops early when Google runs out.
- **Stream-friendly output.** Each image as its own record — ML pipeline friendly.
### What data can Google Images Scraper extract?
| Field | Type | Description |
|---|---|---|
| title | string | Image alt text / caption |
| original | string | Full-resolution image URL |
| thumbnail | string | Small thumbnail URL |
| source | string | Host website |
| link | string | Source page URL |
| width / height | number | Image dimensions |
| position | number | Rank within the page |
### How to scrape Google Images
1. Click **Try for free**.
2. Enter your query in `q`.
3. Optional: set `imgsz` (size), `imgcolor` (colour), `imgtype` (type), `safe`.
4. For licence / time filtering, use the `tbs` free-form string (Google's filter syntax).
5. Set `max_pages` — each page is ≈ 100 images.
6. Click **Start** — images stream into the dataset.
### How much will it cost?
**$0.0015 per image (≈ $1.50 per 1,000 images).** One call per page; pages return ≈ 100 images each. A 3-page run pushes ~300 images for $0.45.
#### Competitor benchmark
| Actor | Author | Price | Notes |
|---|---|---|---|
| hooli/google-images-scraper | hooli | $1.90-$3.50 / 1k (tier-gated) | Gold tier required for lowest price |
| apify/google-search-scraper | Apify | ~$1.80 / 1k pages | Images as SERP block, not dedicated |
| **scrape-badger/google-images-scraper** | **ScrapeBadger** | **$1.50 / 1k images** | **Flat, no tier gating** |
### Input
Configure the run in the **Input** tab above, or pass a JSON object matching the fields below when calling the Actor via the Apify API.
| Field | Required | Description |
|---|---|---|
| q | ✅ | Search query. |
| gl / hl | — | Country + language. |
| imgsz | — | `l` / `m` / `i` / `icon` — Google's size enum. |
| imgcolor | — | `red`, `blue`, `transparent`, etc. |
| imgtype | — | `face`, `photo`, `clipart`, `lineart`, `animated`. |
| safe | — | `off` / `medium` / `high`. |
| tbs | — | Free-form Google filter string (licence, time). |
| max_pages | — | 1-10, default 3. |
### Output
Every successful run streams records into the run's dataset. Download as JSON, CSV, XML, Excel, or HTML from the **Dataset** tab; consume programmatically via the Apify API or webhooks.
Example record:
```json
{
"title": "Golden retriever puppy",
"original": "https://example.com/puppy.jpg",
"thumbnail": "https://encrypted-tbn0.gstatic.com/images?q=tbn:\u2026",
"source": "example.com",
"link": "https://example.com/puppies-article",
"width": 1920,
"height": 1080,
"position": 1
}
````
### Tips / Advanced options
- **Always check the `original` URL is hot-linkable.** Some sources block direct access. Test with a HEAD request before bulk-downloading.
- **For licence-safe images.** Use `tbs=il:cl` (Creative Commons only) — safer for commercial use.
- **Use `imgsz: l` for ML training data.** Guaranteed ≥ 1 MP — avoids low-res thumbnails polluting your dataset.
- **Dedupe by `original`.** Google occasionally returns the same image from multiple source pages.
### FAQ, Disclaimers, Support
#### Can I download the images?
This actor returns URLs only. Use a separate Apify actor or a script to download — we keep actor runtime lean.
#### What's `tbs`?
Google's free-form filter string. `il:cl` for Creative Commons, `qdr:w` for past week. See Google's docs.
#### Can I search by image (reverse)?
Yes — use `google-lens-scraper` instead. This actor is text-search only.
#### Why fewer images than `max_pages × 100`?
Google sometimes returns fewer per page; the actor stops early when no more pages.
#### Disclaimer
This Actor scrapes public Google data only. You're responsible for compliance with Google's Terms of Service and any applicable data-protection laws (GDPR, CCPA, etc.) in your jurisdiction. ScrapeBadger does not store the scraped results — they are delivered directly to your Apify dataset.
#### Support
Something not working? Open a ticket in the **Issues** tab above — we triage within one business day. Full API reference: [docs.scrapebadger.com](https://docs.scrapebadger.com).
#### Related Actors
- [`google-lens-scraper`](https://apify.com/scrape-badger/google-lens-scraper) — Reverse image search (visual matches)
- [`google-search-scraper`](https://apify.com/scrape-badger/google-search-scraper) — SERP with inline Images block
#### Powered by
[ScrapeBadger](https://scrapebadger.com) — Google-optimised residential proxy pool + browser-farm fallback, 99.7% uptime, unmetered bandwidth. No CAPTCHAs reach you.
# Actor input Schema
## `q` (type: `string`):
Image search terms. Example: golden retriever, eiffel tower at night, minimalist logo.
## `gl` (type: `string`):
ISO 3166-1 alpha-2 country code (lowercase). Controls which country's image results are returned. Example: us, gb, de.
## `hl` (type: `string`):
ISO 639-1 language code. Example: en, es, de.
## `results` (type: `integer`):
Max image tiles to return per page (1-500, client-side cap). Each page ≈ 100 tiles on Google's native grid.
## `max_pages` (type: `integer`):
How many pages to fetch. Each page is a separate API call (costs 1 credit).
## `safe` (type: `string`):
Safe-search filter level.
## `imgsz` (type: `string`):
Size filter: l (large), m (medium), i (icon), xXl / xxl / xxxl (extra-large). Leave blank for any size.
## `imgcolor` (type: `string`):
Colour filter. color (any colour), gray, transparent, or a specific hue (red, orange, yellow, green, teal, blue, purple, pink, white, black, brown).
## `imgtype` (type: `string`):
Content type filter.
## `tbs` (type: `string`):
Google's internal tbs filter string. Common values: qdr:d (past 24h), qdr:w (week), qdr:m (month), qdr:y (year), or a license filter like sur:cl (Creative Commons). Overrides other filters if set.
## Actor input object example
```json
{
"q": "golden retriever",
"gl": "us",
"hl": "en",
"results": 100,
"max_pages": 3,
"safe": "off"
}
```
# Actor output Schema
## `dataset` (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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"q": "golden retriever"
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrape.badger/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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = { "q": "golden retriever" }
# Run the Actor and wait for it to finish
run = client.actor("scrape.badger/google-images-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"q": "golden retriever"
}' |
apify call scrape.badger/google-images-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrape.badger/google-images-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Images Scraper — Tiles, Thumbnails, URLs",
"description": "Scrape Google Images at scale: up to 100 tiles per page with title, source, referrer link, thumbnail, inline preview, full-resolution URL, dimensions, file size, plus licensability flags (is_product, is_licensable, is_video). Size / colour / type / time filters, 200+ country domains.",
"version": "1.0",
"x-build-id": "F6wcREYBMOroEQtka"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrape.badger~google-images-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrape.badger-google-images-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrape.badger~google-images-scraper/runs": {
"post": {
"operationId": "runs-sync-scrape.badger-google-images-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrape.badger~google-images-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrape.badger-google-images-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"required": [
"q"
],
"properties": {
"q": {
"title": "Search query",
"type": "string",
"description": "Image search terms. Example: golden retriever, eiffel tower at night, minimalist logo."
},
"gl": {
"title": "Country",
"type": "string",
"description": "ISO 3166-1 alpha-2 country code (lowercase). Controls which country's image results are returned. Example: us, gb, de.",
"default": "us"
},
"hl": {
"title": "Language",
"type": "string",
"description": "ISO 639-1 language code. Example: en, es, de.",
"default": "en"
},
"results": {
"title": "Tiles per page",
"minimum": 1,
"maximum": 500,
"type": "integer",
"description": "Max image tiles to return per page (1-500, client-side cap). Each page ≈ 100 tiles on Google's native grid.",
"default": 100
},
"max_pages": {
"title": "Max pages",
"minimum": 1,
"maximum": 10,
"type": "integer",
"description": "How many pages to fetch. Each page is a separate API call (costs 1 credit).",
"default": 3
},
"safe": {
"title": "Safe search",
"enum": [
"off",
"active"
],
"type": "string",
"description": "Safe-search filter level.",
"default": "off"
},
"imgsz": {
"title": "Image size",
"enum": [
"l",
"m",
"i",
"xXl",
"xxl",
"xxxl"
],
"type": "string",
"description": "Size filter: l (large), m (medium), i (icon), xXl / xxl / xxxl (extra-large). Leave blank for any size."
},
"imgcolor": {
"title": "Image colour",
"enum": [
"color",
"gray",
"transparent",
"red",
"orange",
"yellow",
"green",
"teal",
"blue",
"purple",
"pink",
"white",
"black",
"brown"
],
"type": "string",
"description": "Colour filter. color (any colour), gray, transparent, or a specific hue (red, orange, yellow, green, teal, blue, purple, pink, white, black, brown)."
},
"imgtype": {
"title": "Image type",
"enum": [
"face",
"photo",
"clipart",
"lineart",
"animated"
],
"type": "string",
"description": "Content type filter."
},
"tbs": {
"title": "Raw tbs filter",
"type": "string",
"description": "Google's internal tbs filter string. Common values: qdr:d (past 24h), qdr:w (week), qdr:m (month), qdr:y (year), or a license filter like sur:cl (Creative Commons). Overrides other filters if set."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```