Go HTTP client with browser-grade TLS, HTTP/2 and HTTP/3 fingerprinting. Use it to make requests that look like a real Chrome / Firefox / Safari, without the bot-detection headaches.

go get github.com/jesterfoidchopped/akamai-v3-sensor

package main

import (
	"context"
	"fmt"

	sensor "github.com/jesterfoidchopped/akamai-v3-sensor"
)

func main() {
	c := sensor.New("chrome-146")
	defer c.Close()

	resp, err := c.Get(context.Background(), "https://tls.peet.ws/api/all")
	if err != nil {
		panic(err)
	}
	fmt.Println(string(resp.Body))
}

c := sensor.New("chrome-146",
	sensor.WithTimeout(30*time.Second),
	sensor.WithProxy("http://user:pass@host:port"),
)

Supported preset names live in fingerprint/ (chrome-146, firefox-132, safari-18, etc).

This is a pure HTTP client. No headless browser, no JS VM, no sensor_data generator. For most Akamai-fronted sites the TLS + HTTP/2 fingerprint alone is enough to land a valid _abck cookie (the ~0~ segment is the trusted marker, ~-1~ means you failed scoring).

Quick way to verify the client is shaped right:

c := sensor.New("chrome-146")
defer c.Close()

resp, _ := c.Get(context.Background(), "https://tls.peet.ws/api/all")
// JA3, JA4, akamai_fingerprint should match a real Chrome 146.

Then point it at an actual Akamai target and inspect the cookie jar:

resp, _ := c.Get(context.Background(), "https://www.nike.com/")
fmt.Println(resp.GetHeaders("set-cookie")) // look for _abck=...~0~... and bm_sz=...

Other endpoints people use as Akamai test targets: www.adidas.com, www.footlocker.com, www.target.com, www.lululemon.com, www.bestbuy.com, www.ticketmaster.com. If _abck comes back with ~0~ on the first or second request, phase-one scoring passed and you do not need to forge a sensor_data payload for that origin.

Native bindings live in bindings/ for Node, Python, .NET. Build the shared lib with the workflow in .github/workflows/bindings.yml or by hand:

cd bindings/clib && CGO_ENABLED=1 go build -buildmode=c-shared -o libsensor.so .

If this saves you time, throw some sats:

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