# Website Image Scraper (`jungle_synthesizer/website-image-scraper`) Actor
Extract all image URLs from any website — alt text, dimensions, srcset, and CSS background images. Works on both static and JavaScript-rendered pages.
- **URL**: https://apify.com/jungle\_synthesizer/website-image-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per event
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/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
## Website Image Scraper
Extract every image URL from any website. Give it a URL, get back a list of images with alt text, dimensions, srcset candidates, and CSS background-image URLs. Works on both static and JavaScript-rendered pages.
### What it does
Points a Playwright browser at your URL, lets the page fully render, then pulls every image it can find — `` tags, `/` elements, lazy-load `data-src` attributes, and `background-image` CSS rules. Returns one record per image with the metadata that's actually useful.
Optionally follows internal links up to a configurable depth, so you can audit images across an entire section of a site rather than just one page.
### Output
Each record contains:
| Field | Description |
|---|---|
| `image_url` | Absolute URL of the image |
| `page_url` | URL of the page where the image was found |
| `alt_text` | Alt text (empty string if none) |
| `width` | Width attribute value (empty string if not set in HTML) |
| `height` | Height attribute value (empty string if not set in HTML) |
| `srcset` | Raw `srcset` attribute value |
| `srcset_urls` | Comma-separated absolute URLs parsed from srcset |
| `loading` | Loading attribute (`lazy`, `eager`, or empty string) |
| `source_tag` | Source element: `img`, `source`, or `css-background` |
| `scraped_at` | ISO 8601 timestamp |
### Input
| Parameter | Type | Default | Description |
|---|---|---|---|
| `url` | string | — | Website URL to extract images from |
| `maxItems` | integer | 200 | Maximum image records to return. Set to `0` for unlimited |
| `crawlLinks` | boolean | false | Follow internal links to scrape images from multiple pages |
| `maxDepth` | integer | 1 | Max depth for internal link crawling (1–3) |
### Usage notes
**On JavaScript-rendered sites:** Images loaded via lazy-loading, React, Vue, or Angular hydration are fully captured. The actor waits for the page network to idle before extracting, which catches most dynamic content.
**On srcset:** Multi-resolution images are captured as both the raw `srcset` string and a parsed comma-separated list of absolute URLs. The `image_url` field holds the primary `src` value.
**On CSS backgrounds:** Computed `background-image` styles are walked across all visible elements. Inline data URIs are filtered out — the output contains only linkable image URLs.
**On depth:** With `crawlLinks: true` and `maxDepth: 1`, the actor crawls the start page plus any internal pages linked from it. Each page is only visited once. Fan-out is capped at 30 new links per page to avoid runaway crawls.
### Example output
```json
{
"image_url": "https://books.toscrape.com/media/cache/fe/72/fe72f0532301ec28892ae79a629a293c.jpg",
"page_url": "https://books.toscrape.com",
"alt_text": "A Light in the Attic",
"width": "",
"height": "",
"srcset": "",
"srcset_urls": "",
"loading": "",
"source_tag": "img",
"scraped_at": "2026-06-10T12:00:00.000Z"
}
````
### Questions or issues?
Use the feedback fields in the input form or reach out at .
# Actor input Schema
## `sp_intended_usage` (type: `string`):
Please describe how you plan to use the data extracted by this crawler.
## `sp_improvement_suggestions` (type: `string`):
Provide any feedback or suggestions for improvements.
## `sp_contact` (type: `string`):
Provide your email address so we can get in touch with you.
## `url` (type: `string`):
The URL of the website to extract images from (e.g. https://example.com).
## `maxItems` (type: `integer`):
Maximum number of image records to extract. Set to 0 for unlimited.
## `crawlLinks` (type: `boolean`):
If enabled, follows internal links up to the configured depth to extract images from multiple pages.
## `maxDepth` (type: `integer`):
Maximum link-follow depth when crawling internal links (only used when Crawl Internal Links is enabled). Set to 1 to crawl only the start page plus its direct children.
## Actor input object example
```json
{
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"url": "https://books.toscrape.com",
"maxItems": 10,
"crawlLinks": false,
"maxDepth": 1
}
```
# Actor output Schema
## `results` (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 = {
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"url": "https://books.toscrape.com",
"maxItems": 10
};
// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/website-image-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 = {
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"url": "https://books.toscrape.com",
"maxItems": 10,
}
# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/website-image-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 '{
"sp_intended_usage": "Describe your intended use...",
"sp_improvement_suggestions": "Share your suggestions here...",
"sp_contact": "Share your email here...",
"url": "https://books.toscrape.com",
"maxItems": 10
}' |
apify call jungle_synthesizer/website-image-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jungle_synthesizer/website-image-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Website Image Scraper",
"description": "Extract all image URLs from any website — alt text, dimensions, srcset, and CSS background images. Works on both static and JavaScript-rendered pages.",
"version": "0.1",
"x-build-id": "5tBXrQpyJWaDk0ZAR"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jungle_synthesizer~website-image-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jungle_synthesizer-website-image-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/jungle_synthesizer~website-image-scraper/runs": {
"post": {
"operationId": "runs-sync-jungle_synthesizer-website-image-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/jungle_synthesizer~website-image-scraper/run-sync": {
"post": {
"operationId": "run-sync-jungle_synthesizer-website-image-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": [
"url"
],
"properties": {
"sp_intended_usage": {
"title": "What is the intended usage of this data?",
"minLength": 1,
"type": "string",
"description": "Please describe how you plan to use the data extracted by this crawler."
},
"sp_improvement_suggestions": {
"title": "How can we improve this crawler for you?",
"minLength": 1,
"type": "string",
"description": "Provide any feedback or suggestions for improvements."
},
"sp_contact": {
"title": "Contact Email",
"minLength": 1,
"type": "string",
"description": "Provide your email address so we can get in touch with you."
},
"url": {
"title": "Website URL",
"type": "string",
"description": "The URL of the website to extract images from (e.g. https://example.com)."
},
"maxItems": {
"title": "Max Images",
"type": "integer",
"description": "Maximum number of image records to extract. Set to 0 for unlimited.",
"default": 200
},
"crawlLinks": {
"title": "Crawl Internal Links",
"type": "boolean",
"description": "If enabled, follows internal links up to the configured depth to extract images from multiple pages.",
"default": false
},
"maxDepth": {
"title": "Max Crawl Depth",
"minimum": 1,
"maximum": 3,
"type": "integer",
"description": "Maximum link-follow depth when crawling internal links (only used when Crawl Internal Links is enabled). Set to 1 to crawl only the start page plus its direct children.",
"default": 1
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```