# Snapify - Capture Screenshot, save PDF (`replymaster/snapify`) Actor

Snapify is a powerful and efficient tool for capturing full-page screenshots and PDFs of any website with ease. Whether you need high-quality website snapshots for archiving, reports, or design reviews, Snapify automates the process.

- **URL**: https://apify.com/replymaster/snapify.md
- **Developed by:** [ReplyMaster](https://apify.com/replymaster) (community)
- **Categories:** Developer tools, SEO tools, Automation
- **Stats:** 93 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: 2.00 out of 5 stars

## Pricing

$8.00 / 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/actors/running/actors-in-store.md#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

## Snapify

**Snapify** is a simple tool that allows you to capture screenshots and generate PDFs of websites. You can provide a list of URLs, and Snapify will process each one to create visual representations in your desired format.

### How to Use

To use Snapify, you need to provide the following inputs:

- **List of URLs:**  Enter one or more website URLs that you want to capture. Snapify will process each URL in the list.
- **Output Type:** Choose the type of output you want to generate. You can select from:
  - **PNG:**  High-quality image format, good for screenshots.
  - **JPEG:**  Compressed image format, smaller file size, suitable for web use.
  - **PDF:**  Portable Document Format, ideal for creating documents from web pages.
- **Image Format (if Output Type is PNG or JPEG):**  If you choose PNG or JPEG as the output type, you can further select the image format for the screenshot:
  - **PNG**
  - **JPEG**
- **Wait Until:**  This option determines when Snapify considers the webpage fully loaded before taking a screenshot or generating a PDF. You can choose from:
  - **load:**  Wait for the page load event.
  - **domcontentloaded:** Wait for the initial HTML document to be loaded and parsed.
  - **networkidle0:** Wait until network connections are idle (no new network requests) for at least 500 ms.
  - **networkidle2:** Wait until network connections are idle for at least 500 ms (only 2 or fewer network requests).
- **Delay Before Processing:**  Specify a delay in milliseconds before Snapify takes the screenshot or PDF. This can be useful for websites with animations or content that loads after a delay.
- **Device:**  Select the type of device to emulate when capturing the website. This affects the viewport width and how the website is rendered:
  - **Desktop**
  - **Tablet**
  - **Mobile**

### Example

Let's say you want to take a PNG screenshot of `https://example.com` as a desktop view. You would configure Snapify with:

- **List of URLs:** `https://example.com`
- **Output Type:** `PNG`
- **Format:** `PNG` (default)
- **Wait Until:** `load` (default)
- **Delay Before Processing:** `0` (default)
- **Device:** `Desktop` (default)

Snapify will then generate a PNG screenshot of `https://example.com` as it appears on a desktop and save it for you.

This tool is useful for quickly capturing website visuals for documentation, archiving, or analysis.

# Actor input Schema

## `startUrls` (type: `array`):

Enter one or more URLs to process.

## `outputType` (type: `string`):

Choose the output type.

## `format` (type: `string`):

Choose the format for the screenshot (only applies if output type is PNG or JPEG).

## `waitUntil` (type: `string`):

Define when the page is considered fully loaded.

## `delayBeforeScreenshot` (type: `integer`):

Time (in milliseconds) to wait before taking the screenshot or PDF.

## `device` (type: `string`):

Select a device type for the viewport width.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.example.com/",
      "method": "GET"
    }
  ],
  "outputType": "PNG",
  "format": "PNG",
  "waitUntil": "load",
  "delayBeforeScreenshot": 0,
  "device": "Desktop"
}
```

# 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("replymaster/snapify").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("replymaster/snapify").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 replymaster/snapify --silent --output-dataset

```

## MCP server setup

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

```

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/z4npGtbAeEZHjoF2u/builds/LfMlm1HHtyZr8vCcF/openapi.json