The first two pages covered the fundamentals. Now let’s show you what’s actually possible with Salamoonder, whether you’re a seasoned developer or just getting started.Below are sample projects meant to make a point, along with community examples. These are rhetorical use cases, not real world deployments. They exist to explain ideas and prompt discussion, not to act as live projects you can reference.If you’re ready to code, jump straight to the next section. But take a minute here first. You might discover something that sparks your next build. Here’s what you can do with Salamoonder.
Automate your social media growth and revenue.
Want to scale on Kick, Twitch, or Whatnot? You need automation, but every platform throws captchas at you immediately. Salamoonder handles it. Build tools that create accounts, boost followers, and drive revenue at real speed. This is how top streamers scale.
Track product pricing without the blocks.
Monitoring Nike, Canada Goose, Footlocker? Kasada will kill your scrapers instantly. Salamoonder solves the protection layer so you can build price tracking that actually works. Get the data you need, consistently.
Win every limited drop.
Arc’teryx just dropped. Nike’s releasing in 60 seconds. You need checkout automation or you’re getting nothing. Salamoonder handles every captcha instantly. Build bots that complete orders in seconds while others are still loading the page.
Now that you see what’s possible, let’s build. Below are working examples to get you started fast. These use our Software Development Kit, so make sure it’s included in your project. If something breaks, let us know. We don’t monitor these actively, so your feedback keeps them running.
from salamoonder import Salamoonderclient = Salamoonder("YOUR_KEY_HERE")URL = "https://login.bol.com/wsp/login"USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/141.0.0.0 Safari/537.36"PROXY = "http://user:pass@ip:port"# Run once to grab the required data. data = client.akamai.fetch_and_extract( website_url=URL, user_agent=USER_AGENT, proxy=PROXY)if data: current_abck = data['abck'] current_bmsz = data['bm_sz'] RespData = "" # Post data 3 times (you are paying per loop, so in this case 3 times.) for i in range(3): task_id = client.task.createTask( task_type="AkamaiWebSensorSolver", url=data['base_url'], abck=current_abck, bmsz=current_bmsz, script=data['script_data'], sensor_url=data['akamai_url'], user_agent=USER_AGENT, count=i, data=RespData ) result = client.task.getTaskResult(task_id) payload = result['payload'] RespData = result['data'] cookie = client.akamai.post_sensor( akamai_url=data['akamai_url'], sensor_data=payload, user_agent=USER_AGENT, website_url=URL, proxy=PROXY ) if cookie: print(f"Returned cookie _abck: {cookie['abck'][:50]}...") current_abck = cookie['abck'] current_bmsz = cookie.get('bm_sz', current_bmsz) else: print(f"Failed to post sensor {i + 1}") break