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wreq-js

Node.js/TypeScript HTTP client that bypasses Cloudflare, DataDome, Akamai, and other anti-bot TLS fingerprinting by impersonating real browser network behavior.

Native Performance

No process spawning or browser overhead. Native speed via Rust bindings.

Real Browser Fingerprints

Authentic TLS (JA3/JA4) and HTTP/2 fingerprints from Chrome, Firefox, Safari, and more.

Drop-in Fetch API

A fetch-like API with extra options for browser profiles and sessions.

WebSocket Support

Full WebSocket support with consistent browser fingerprinting.

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Why wreq-js?

Standard HTTP clients like axios, fetch, got, and curl don’t behave like browsers on the network layer. They differ in:
  • TLS handshake: cipher suite order and extension sets
  • HTTP/2 frames: SETTINGS and PRIORITY behavior
  • Header ordering: the order headers are sent on the wire
Anti-bot systems like Cloudflare, DataDome, and Akamai use these signals to flag and block non-browser clients. wreq-js reproduces browser networking behavior using the wreq Rust engine underneath. Your job is to write scripts. wreq-js handles the network-level impersonation.

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When to use wreq-js

  • Bypassing Cloudflare, DataDome, Akamai TLS fingerprinting
  • Web scraping and data collection
  • API automation with stealth requirements
  • High-throughput HTTP requests
  • Login flows and session management
  • Proxy rotation scenarios
  • DOM or JavaScript execution (not a browser runtime)
  • CAPTCHA solving or page automation
  • Full browser automation (use Playwright/Puppeteer instead)

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Quick Example

If your script makes more than one request, start with a session and reuse it. Sessions reuse cookies and connection state, and are usually much faster than repeated one-off fetch() calls.
import { fetch } from 'wreq-js';

const response = await fetch('https://example.com/api', {
  browser: 'chrome_142',
  os: 'windows',
});

console.log(await response.json());
That is it. You get browser impersonation with a familiar, fetch-like API.

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Next Steps

Quickstart

Get up and running in under 5 minutes.

Installation

Detailed installation instructions for all platforms.