# Best Screenshots API (`scoutlayer/screenshots-api`) Actor

A powerful Apify Actor designed to capture on-demand screenshots of any web page. This scraper can capture full-page or viewport screenshots as pages render right now, making it perfect for visual monitoring, QA testing, and content archiving.

- **URL**: https://apify.com/scoutlayer/screenshots-api.md
- **Developed by:** [Scoutlayer](https://apify.com/scoutlayer) (community)
- **Categories:** SEO tools, Social media, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.90 / 1,000 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 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

Get an on-demand PNG screenshot of any page, as it renders right now — viewport or full scrollable page. This actor is powered live by the [ScoutLayer](https://scoutlayer.io) API, so there's nothing to configure and no ScoutLayer account needed — just run it.

### Input

| Field      | Type    | Required | Default | Description                                                                         |
| ---------- | ------- | -------- | ------- | ----------------------------------------------------------------------------------- |
| `urls`     | array   | Yes      | —       | One or more page URLs to screenshot, e.g. `["https://shopify.com/pricing"]`         |
| `fullPage` | boolean | No       | `false` | Capture the full scrollable page instead of just the viewport, applied to every URL |

```json
{
  "urls": ["https://shopify.com/pricing", "https://apps.shopify.com"],
  "fullPage": true
}
```

### Output

Results are stored in the **dataset** under the key `results`, one item per URL:

```json
{
  "url": "https://shopify.com/pricing",
  "finalUrl": "https://www.shopify.com/pricing",
  "imageBase64": "iVBORw0KGgoAAAANSUhEUgAA...",
  "fullPage": true,
  "capturedAt": "2026-08-11T00:00:00Z"
}
```

`imageBase64` is a base64-encoded PNG — decode it to get the image file. `finalUrl` reflects the URL actually captured after any redirects.

***

Need this outside of Apify, or coverage beyond screenshots? [ScoutLayer](https://scoutlayer.io) offers a direct REST/MCP API across many platforms — see the [docs](https://docs.scoutlayer.io) for details.

# Actor input Schema

## `urls` (type: `array`):

One or more page URLs to screenshot (e.g. "https://shopify.com/pricing").

## `fullPage` (type: `boolean`):

Capture the full scrollable page instead of just the viewport.

## Actor input object example

```json
{
  "urls": [
    "https://shopify.com/pricing"
  ],
  "fullPage": false
}
```

# Actor output Schema

## `results` (type: `string`):

URL of the dataset with the results

## `crawlStats` (type: `string`):

Statistics about the crawl process

# 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 = {
    "urls": [
        "https://shopify.com/pricing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("scoutlayer/screenshots-api").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 = { "urls": ["https://shopify.com/pricing"] }

# Run the Actor and wait for it to finish
run = client.actor("scoutlayer/screenshots-api").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 '{
  "urls": [
    "https://shopify.com/pricing"
  ]
}' |
apify call scoutlayer/screenshots-api --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,scoutlayer/screenshots-api"
        }
    }
}

```

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/kKNyo1EXhUApderHf/builds/xC4f6cB6OPedJYh0C/openapi.json