Browserless Alternative

Browserless is one of the better-known headless browser platforms on the market. It spins up Chrome instances in the cloud, exposes them over WebSocket, and lets you run Puppeteer or Playwright scripts against them remotely. For web scraping, test automation, and complex multi-page workflows, it does the job well. But a growing number of developers are finding that their actual use case is simpler than what Browserless was built for: they just need a screenshot or a PDF. If that sounds familiar, this page breaks down where a purpose-built screenshot API fits better and where Browserless still makes sense.

What Browserless does (and when it's too much)

Browserless started as an open-source project to solve a real infrastructure problem: running headless Chrome at scale without managing the servers yourself. You connect via WebSocket using the standard Puppeteer or Playwright connection protocol, run whatever browser automation code you want, and Browserless handles the instance lifecycle, concurrency limits, and cleanup.

That model works well for teams doing real browser automation. Logging into dashboards, navigating multi-step checkout flows, scraping dynamic content, running end-to-end tests against staging environments. These are tasks where you genuinely need full browser control: clicking, typing, waiting for network requests, reading DOM state.

Browserless also has a REST API for simpler tasks like screenshots and PDFs. You POST a JSON payload with a URL and some options, and it returns the result. So it can take screenshots without WebSocket code. The issue is that screenshots and PDFs are a side feature, not the core product. The screenshot endpoint uses the same unit-based billing, the same Chromium instance pool, and the same infrastructure designed for long-running browser sessions. It works, but you're paying for a platform built to do much more.

That distinction matters when screenshots are your whole use case. You end up managing Puppeteer connection strings, handling WebSocket reconnects, tracking unit consumption, and paying for browser time whether the page loads in two seconds or twenty. A lot of the complexity you're dealing with exists to serve scraping and testing users, not screenshot users. I've talked to developers who wired up Browserless for a thumbnail pipeline and spent more time debugging WebSocket timeouts than actually building the feature they needed.

Why developers search for a Browserless alternative

The most common reason is cost predictability. Browserless bills in "units" where one unit equals 30 seconds of browser time. A fast screenshot might cost one unit. A slow page with heavy JavaScript might cost three or four. Residential proxies add six units per megabyte. CAPTCHA solving adds ten units per solve. The math gets hard to predict, especially when you're scaling from a hundred screenshots a day to a few thousand.

The Prototyping plan starts at $25 per month for 20,000 units, which sounds generous until you realize that's somewhere around 10,000 to 15,000 simple screenshots under ideal conditions. The Starter plan jumps to $200 per month for 180,000 units and 20 concurrent browsers. That jump from $25 to $200 catches teams off guard when they outgrow the lower tier. And the billing model means you can burn through units faster than expected if pages are slow to render or if your retry logic reconnects to a new session after a timeout. I helped a team last year untangle their Browserless invoice and we found that about 40% of their unit consumption came from retries and slow page loads, not actual successful screenshots.

The second reason is complexity. Browserless gives you a Chrome instance to control programmatically. That means writing Puppeteer or Playwright code to open a URL, set the viewport, wait for content, capture the screenshot, and close the page. Even the REST endpoint requires constructing a JSON payload with Puppeteer-style options. Compare that to a screenshot API where you send a GET request with query parameters and get back an image. The difference is about fifteen lines of boilerplate per capture versus zero.

There's also the scope mismatch. Browserless was designed for people who need a browser they can control remotely. If your workflow is "give me a screenshot of this URL," you are using maybe two percent of the platform's capabilities. It's not that Browserless is bad at screenshots. It's that the tooling around it assumes you need full browser automation, and everything from the documentation to the billing to the error handling reflects that assumption.

How a dedicated screenshot API handles it differently

A screenshot API like ScreenshotRun strips away the browser automation layer entirely. There's no WebSocket connection, no Puppeteer code, no session management. You make an HTTP GET request with the URL and your parameters, and you get back an image or PDF.

Here is what a screenshot looks like through Browserless using their REST endpoint:

curl -X POST "https://production-sfo.browserless.io/screenshot" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_BROWSERLESS_TOKEN" \
  -d '{
    "url": "https://example.com",
    "options": {
      "type": "png",
      "fullPage": true
    },
    "viewport": {
      "width": 1280,
      "height": 800
    },
    "waitForSelector": {
      "selector": ".main-content"
    }
  }' \
  -o screenshot.png

That's a POST with a nested JSON body. You need to know the Puppeteer options structure, wrap viewport settings in a sub-object, and handle the response as a binary stream. Not terrible, but there's friction.

The same capture with ScreenshotRun:

curl "https://api.screenshotrun.com/v1/screenshots/capture?url=https://example.com&format=png&full_page=true&width=1280&height=800&wait_for_selector=.main-content" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -o screenshot.png

One GET request. Flat query parameters. No JSON body, no nested objects. Every parameter is a key-value pair in the URL. That simplicity has a real effect on integration speed: you can test it in a browser address bar, embed it in a Markdown image tag, or call it from a cURL one-liner in a deploy script.

Beyond the API shape, the feature set diverges in ways that matter for screenshot-specific workflows. Browserless gives you raw Chrome. If you want to block cookie banners, you write JavaScript to find and dismiss them, or inject CSS to hide the overlay. If you want ad blocking, you configure a Chrome extension or add a content-blocking list. Dark mode requires injecting a prefers-color-scheme media override. Each of these is a solved problem, but solving it yourself means maintaining custom code per site.

ScreenshotRun bakes these into the API as parameters:

• block_cookies=true handles cookie consent banners across sites without custom selectors
• block_ads=true strips ad scripts and overlays before capture
• dark_mode=true renders the page in dark mode natively
• format=webp or avif gives you modern image formats directly, not just PNG
• cache_ttl=3600 caches the result so repeat requests for the same URL return instantly
• webhook_url=... delivers the finished screenshot via webhook instead of requiring you to hold the connection

None of these require browser scripting. They're just URL parameters. That's the difference between a platform that can take screenshots and a product built specifically for it.

Side-by-side: Browserless vs ScreenshotRun for screenshots

This table focuses specifically on the screenshot and PDF use case. Browserless has capabilities that don't appear here (scraping, testing, session replay) because they're outside the scope of what a screenshot API replaces.

For teams coming from Browserless with Puppeteer code, the Puppeteer vs screenshot API comparison covers the code migration in detail. If you're using Playwright to connect to Browserless, the Playwright comparison has the equivalent walkthrough.

When Browserless is still the right choice

Browserless earns its place in stacks where you genuinely need a remote browser you can control. If your pipeline logs into a portal, navigates through a dashboard, clicks specific tabs, and then screenshots the result, that's real browser automation and a screenshot API can't replace it. The cookies and headers parameters in a screenshot API handle simple authenticated pages, but multi-step login flows with MFA, CAPTCHAs, or JavaScript-heavy navigation need a real browser session.

Web scraping is the other clear case. Extracting structured data from pages, following pagination, interacting with search forms — these are tasks where Browserless's full CDP access matters. You're driving the browser, not just photographing it. Same goes for end-to-end testing against staging environments, where browser control is the whole point.

If your team runs Browserless for a mix of scraping, testing, and screenshots, the practical move is to keep Browserless for the automation work and offload the screenshot-only jobs to a dedicated API. That way you're not burning browser units on tasks that don't need a browser session. Your scraping and testing pipelines keep the CDP access they need, and your thumbnail generation, change monitoring, or OG image workflows get a simpler, cheaper path.

The break-even question is straightforward: if more than half your Browserless usage is screenshots or PDFs, a dedicated API likely costs less and ships faster. ScreenshotRun's free tier covers 200 screenshots a month, enough to validate the switch before committing. The best screenshot API comparison covers how ScreenshotRun stacks up against other dedicated options if you want to evaluate the category more broadly.

For AI agent teams using Browserless for visual grounding — feeding page screenshots to vision models — the same logic applies. If the agent just needs to see the page, it doesn't need to drive a browser. A GET request with the URL returns the screenshot faster and with less infrastructure than maintaining a Browserless connection pool for visual captures. Save the browser sessions for the interactions that actually need them.