# Website Screenshot API - Clean Capture (`bin_ai_tools/my-actor-1`) Actor

Capture clean full-page PNG screenshots after pages are ready, with common cookie and consent overlays hidden. Built for QA, SEO agencies, content workflows, and website maintenance.

- **URL**: https://apify.com/bin\_ai\_tools/my-actor-1.md
- **Developed by:** [Bin Bin](https://apify.com/bin_ai_tools) (community)
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $20.00 / 1,000 clean screenshots

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/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

## Website Screenshot API - Clean Capture

Capture clean, ready-state website screenshots for QA, SEO, content, and website maintenance workflows.

### What it does

- Captures up to 100 public URLs per run as PNG files.
- Uses a basic ready-state check so pages are not captured while they only show a loading message.
- Hides common cookie and consent overlays before capture.
- Supports optional CSS selectors for site-specific overlays.
- Returns one clear Dataset row per URL and stores each PNG in the run's Key-Value Store.
- Failed pages return an error row instead of silently producing an unusable image.

### Typical use cases

- SEO agencies building page inventories and audit evidence.
- Website maintenance teams checking key pages after a release.
- Content and QA workflows that need repeatable, readable page snapshots.

### Input

Provide a list of public URLs. The defaults capture a full page, wait for a basic ready state, and hide common cookie/consent banners. You can adjust the timeout, viewport, full-page capture, and extra CSS selectors in the input form.

### Output

The Dataset contains url, finalUrl, title, httpStatus, durationMs, screenshotKey, status, and error where applicable. Open the run's OUTPUT record for the compact summary. PNG files are saved as screenshot-001.png, screenshot-002.png, and so on.

### Limits

This is an HTTP/browser capture utility for public pages. It does not include login sessions, proxy rotation, crawling, PDF/video output, visual diffing, or guarantees for pages that require user interaction.

### Pricing note

Use pay-per-successful-screenshot pricing if you monetize this Actor. Failed captures are not successful screenshots.

# Actor input Schema

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

Public pages to capture. Add one URL per line; up to 100 URLs per run.

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

Capture the entire page instead of only the viewport.

## `hideCookieBanners` (type: `boolean`):

Remove common cookie or consent overlays before saving the PNG.

## `waitForReady` (type: `boolean`):

Wait for the document to finish loading and show non-loading content.

## `waitTimeoutSecs` (type: `integer`):

Maximum time to wait for the basic ready-state check.

## `viewportWidth` (type: `integer`):

Browser viewport width in pixels.

## `viewportHeight` (type: `integer`):

Browser viewport height in pixels.

## `extraHideSelectors` (type: `array`):

Optional CSS selectors for site-specific overlays.

## Actor input object example

```json
{
  "fullPage": true,
  "hideCookieBanners": true,
  "waitForReady": true,
  "waitTimeoutSecs": 15,
  "viewportWidth": 1440,
  "viewportHeight": 900
}
```

# Actor output Schema

## `output` (type: `string`):

No description

## `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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("bin_ai_tools/my-actor-1").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("bin_ai_tools/my-actor-1").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 '{}' |
apify call bin_ai_tools/my-actor-1 --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,bin_ai_tools/my-actor-1"
        }
    }
}
```

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/Gs8SFp1PzXB9bKd9A/builds/zJGwakDVChmfsircf/openapi.json