Website Screenshot & PDF - Bulk Full-Page, Mobile & Desktop

Website Screenshot & PDF: Bulk Full-Page Screenshots for Desktop, Tablet & Mobile

Capture full-page screenshots or PDFs of hundreds of websites in one run. Paste URLs, pick devices, and get PNG, JPEG or PDF files plus a table with a direct link to every file.

Why use it?

• Bulk: hundreds of URLs per run, several pages in parallel.
• Every screen size: Desktop (1920×1080), Laptop (1366×768), Tablet (iPad, 2x) and Mobile (iPhone, 3x) in a single run. You can also set a custom width.
• Clean shots: common cookie banners and chat bubbles are hidden with CSS and common ad networks are blocked. Lazy-loaded images are scrolled into view first, so full-page shots aren't blank at the bottom.
• PNG, JPEG or PDF. PDFs can use A4, Letter, Legal, A3 or Tabloid, in portrait or landscape, with screen or print styles.
• Element screenshots: capture just #pricing or .hero with a CSS selector.
• Dark mode, custom CSS, wait-for-selector, extra delay and browser language.
• Fair pricing: you pay per successful screenshot. Failed pages are reported but never charged.

Use cases

• Visual archives and proof of how a page looked on a given date (schedule it daily)
• Competitor and landing-page monitoring
• Design QA across desktop and mobile
• Thumbnails and previews for directories, link-in-bio pages and reports
• Converting web pages to PDF for offline reading or sharing

Input

Field	Default	Notes
urls	—	One per line
devices	["desktop"]	desktop, laptop, tablet, mobile
format	png	png, jpeg, pdf
fullPage	true	Whole scrollable page
hideCookieBanners	true	CSS-hides consent pop-ups and chat widgets
scrollToLoadLazyContent	true	Loads lazy images
waitUntil	networkidle	or load, domcontentloaded
delaySeconds	1	Extra wait
selector	—	Capture one element
darkMode	false
maxFullPageHeight	15000	Very long pages are cut here

Example

{
  "urls": ["https://apify.com", "https://en.wikipedia.org/wiki/Web_scraping"],
  "devices": ["desktop", "mobile"],
  "format": "jpeg",
  "fullPage": true
}

Output

Every file is saved in the run's key-value store. Each dataset row links to its file:

{
  "url": "https://apify.com",
  "finalUrl": "https://apify.com/",
  "device": "mobile",
  "format": "jpeg",
  "status": "success",
  "httpStatus": 200,
  "title": "Apify: Full-stack web scraping and data extraction platform",
  "fileUrl": "https://api.apify.com/v2/key-value-stores/<id>/records/apify-com-mobile-xxxx.jpg",
  "fileSizeBytes": 2108796,
  "loadTimeMs": 6120,
  "error": null
}

Failed URLs show up with status: "failed" and the reason, such as DNS errors, timeouts or a missing element.

Pricing

$2.00 per 1,000 successful screenshots ($0.002 each). Platform usage is included. Failed pages are free. Set a maximum charge per run in the run options if you want a hard cap.

Tips

• For very heavy pages, use waitUntil: "load" and delaySeconds: 3 for speed.
• Raise memory (4 GB+) when you raise maxConcurrency above 3.
• Use a proxy only if a site shows different content by country.

Responsible use

This tool loads public web pages the way a normal browser does. It doesn't log in, bypass paywalls or solve captchas. You're responsible for having the right to capture and use the pages you submit, including copyright and each site's terms.

Support

Questions or feature requests? Open an issue on the Issues tab. We read every one.

Call it from curl, JavaScript or Python

You can run this Actor in the Apify Console with no code, or call it as an API from curl, JavaScript or Python. Replace YOUR_TOKEN with an Apify API token.

curl

curl "https://api.apify.com/v2/acts/wood-between-studio~website-screenshot/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"urls": ["https://apify.com"], "devices": ["desktop", "mobile"], "format": "jpeg"}'

JavaScript

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: process.env.APIFY_TOKEN });
const run = await client.actor('wood-between-studio/website-screenshot').call({
  "urls": [
    "https://apify.com"
  ],
  "devices": [
    "desktop",
    "mobile"
  ],
  "format": "jpeg"
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python

import os
from apify_client import ApifyClient

client = ApifyClient(os.environ["APIFY_TOKEN"])
run = client.actor("wood-between-studio/website-screenshot").call(run_input={
  "urls": [
    "https://apify.com"
  ],
  "devices": [
    "desktop",
    "mobile"
  ],
  "format": "jpeg"
})
items = client.dataset(run["defaultDatasetId"]).list_items().items
print(items)

You can also schedule the Actor, cap the spend per run, and send the dataset to Google Sheets, Slack or a webhook from the Console. Store page: apify.com/wood-between-studio/website-screenshot.