CurlShot vs Datadog: Which Is Better in 2026?

CurlShot gives your app, your scripts and your AI agents a clear look at any web page.

ONE REQUEST
Send a page address, HTML or Markdown to one endpoint and get back an image (PNG, JPEG, WebP), a PDF, or a scrolling video (MP4, WebM, GIF). No SDK: anything that can fetch a URL already works, and the docs have examples for cURL, Node.js, Python, PHP, Go and Ruby.

WHAT PEOPLE BUILD WITH IT
- Link previews and website thumbnails
- Open Graph images rendered from HTML templates
- Visual checks of pages across phones, tablets and desktops
- PDF archives of web pages for records and compliance
- Reports and certificates from Markdown or HTML
- AI agents that need to see a page, through MCP

DETAILS THAT SAVE TIME
Cookie banners and ads hidden before the capture. Lazy images loaded. Dark mode on request. Wait for a selector, click a button, inject CSS. Cache results and reuse them for free. Signed links so a key never appears in your HTML. Async jobs, webhooks and bulk runs of up to 100 pages.

WHO IT IS FOR
Developers adding previews or PDFs to a product, teams automating reports and checks in n8n or their own scripts, and builders giving AI agents a way to look at web pages.

PRICES
A free plan with 100 screenshots a month and no card. Paid plans have a fixed monthly price: $19, $79 or $249. Yearly billing gets 2 months free. 14-day money-back guarantee.

Try it without an account at https://curlshot.com

What problem it solves

Running headless browsers in production is fragile: cookie banners, lazy images, timeouts, memory and queues. Developers who need screenshots, PDFs or page videos in their apps, pipelines or AI agents get them from one HTTP request instead.

Alternatives & competitors

An alternative to running Puppeteer or Playwright yourself, and to other screenshot APIs.

Datadog is a monitoring and observability platform that gives engineering and operations teams a single, unified view of their entire technology stack. Modern applications are sprawling and complex — spread across many servers, services, containers, and cloud regions — which makes it genuinely hard to know what's happening, where problems originate, and why performance degrades. Datadog brings all of that telemetry together: metrics, logs, traces, and more, from infrastructure up through applications and user experience, so teams can actually see and understand their systems as a whole rather than in disconnected fragments.

The platform spans the full breadth of observability. Infrastructure monitoring tracks the health of servers, containers, and cloud resources; application performance monitoring traces requests across services to find bottlenecks and errors; log management collects and searches the flood of logs systems produce; and additional products cover security monitoring, user experience, database performance, and more. All of it flows into customisable dashboards and intelligent alerting, so teams can watch what matters and get notified the moment something goes wrong — often before users are affected. Because everything lives in one platform with shared context, an engineer investigating an incident can pivot seamlessly from a spiking metric to the relevant logs to the exact trace that explains the problem.

Datadog serves DevOps teams, site reliability engineers, developers, and security teams at organisations running serious cloud infrastructure. The value is visibility and speed: when something breaks at 3am, the difference between a brief blip and a long outage is how quickly the team can understand what's happening, and Datadog is built to make that fast. It turns the overwhelming complexity of modern systems into something observable, diagnosable, and manageable. For any organisation whose business depends on its software running reliably and performing well, a comprehensive observability platform like Datadog has become foundational — the lens through which teams keep their increasingly complex systems healthy and their users happy.