Kodai raffle entries and Cybersole checkouts fail fast on datacenter IPs the moment a retailer's bot manager scores the request. Mobile 4G/5G proxies carry the trust these bots need to win drops.
Use mobile 4G/5G proxies for Kodai raffle entries, Cybersole tasks, and other sneaker bots -- sneaker retailers trust carrier IPs the most. Rotating residential proxies back up mobile when a region's pool runs thin, and ISP proxies suit cook groups that need one stable identity per account.
| Expected success | 95%+ on major sneaker sites with mobile |
| Latency | Sub-second response required for drop monitoring |
| Check frequency | Every 5-15 seconds during Kodai raffle and drop windows |
| Cost fit | Mobile at premium but 2xx-only billing offsets |
import requests, time
# Mobile proxy profile for Kodai raffle / Cybersole tasksproxy = "http://USER-type-mobile:PASS@gw.knoxproxy.com:7000"products = [ "https://sneakers.example/api/stock/aj1-retro-high", "https://sneakers.example/api/stock/yeezy-350-v2",]
while True: for url in products: r = requests.get(url, proxies={"https": proxy}, timeout=3) stock = r.json() if stock.get("available"): alert(f"IN STOCK: {url} sizes={stock['sizes']}") time.sleep(10) # Check every 10 secondsThis guide covers the proxy layer that sneaker bots like Kodai and Cybersole rely on for raffles, checkouts, and stock monitoring. Sneaker botting operates inside each retailer's own terms of service, which the account holder is responsible for following. KnoxProxy supplies proxy infrastructure only -- it does not automate purchasing, solve CAPTCHAs, or create accounts.
Sneaker retailers built their bot managers around one goal: block automated add-to-cart requests before they reach checkout. Datacenter IPs are the easiest target, because they arrive from a narrow, known block of hosting ranges that carries none of the browsing history a real shopper builds up. A bot manager flags the whole range in milliseconds, often before the raffle page even loads. Kodai raffle entries face the same wall from a different angle -- raffles ask for an entry, not an instant add-to-cart, but the same bot manager still fingerprints the IP behind every submission. A datacenter IP submitting hundreds of Kodai raffle entries in one drop window reads as one bot farm, not hundreds of hopeful buyers, and the retailer discards the entries before the raffle closes. Mobile and residential IPs pass the same check because they sit inside real consumer address ranges, next to millions of ordinary phones and home connections. That is why mobile 4G/5G proxies clear SNKRS, Supreme, and Shopify-based drops that reject datacenter outright, and why Cybersole, Kodai, and other sneaker bots default to mobile or residential proxy profiles instead of cheap datacenter IPs.
The only reliable way to see what a real user sees is to become one.
Scheduler, proxy fetch, parser, store -- the proxy is one line in the fetch step. Everything else is pipeline you already run.
Kodai, Cybersole, and most modern sneaker bots let a task pull its proxy from a named group, so the proxy type is a task setting, not a code change. Point the Kodai raffle module and the Cybersole checkout module at a mobile 4G/5G proxy group first, since both bots run their cleanest passes against a real carrier IP. Best SNKRS results come from the same mobile group, because Nike's app and site both score mobile traffic more leniently than desktop-shaped datacenter requests. Supreme keywords tools and stock-alert monitors can run on residential instead, since they read stock pages rather than submit checkouts, and residential IPs cost less than mobile for that lighter job. Keep one proxy group per bot type rather than mixing mobile and residential IPs inside a single task profile. A bot that switches IP class mid-session looks inconsistent to a retailer's fingerprinting, which is the opposite of what a clean sneaker proxy setup should do.
SNKRS, Supreme, and Shopify-based sites each score proxies a little differently, so a working setup splits proxies into groups by platform rather than running one shared pool for every task. Assign a dedicated mobile 4G/5G group to SNKRS tasks, since Nike's app-first traffic profile rewards carrier IPs most heavily. Supreme keywords monitoring and stock-alert tasks run well on a residential group, since these tasks only read pages and never touch checkout. Shopify-based sites vary store by store, so start every new Shopify target on residential, then move to mobile only if that store's own bot manager blocks residential specifically. Name each group by platform and task type -- 'snkrs-mobile', 'supreme-residential', 'shopify-test' -- so a cook group running dozens of tasks in parallel can swap a whole platform's proxies in one change instead of editing every task individually.
Queue systems and bot managers rate-limit by IP first, then by session behavior. A datacenter IP hits its rate limit almost immediately because the retailer already treats the entire range as suspect before the first request lands. Mobile and residential IPs start from a clean reputation, so the same add-to-cart attempt gets a normal rate-limit window instead of an instant block. Rotating too fast works against a bot task the same way it helps a scraper: checkout flows expect one consistent identity from queue entry to order confirmation, not a new IP on every request. Hold a sticky mobile or residential session for the full length of a queue-and-checkout flow, and only rotate to a fresh IP between separate tasks or accounts. ATC rate limits reset per IP, not per account, so spreading tasks across more mobile or residential IPs raises the number of parallel add-to-cart attempts a cook group can run in one drop window without any single IP tripping the limit alone.
Failed fetches are never billed, so your effective cost tracks the success rate you actually observe.
Mobile 4G/5G proxies work best for Kodai raffle entries. Retailers score raffle submissions the same way they score checkouts, and datacenter IPs get flagged before the entry counts. Residential proxies work as a backup when a region's mobile pool is thin during a high-demand drop.
The best proxy setup for the Cybersole app pairs a mobile 4G/5G group for checkout-heavy tasks with a residential group for stock monitoring. Run one sticky IP per account and per task, and avoid mixing proxy types inside a single Cybersole profile.
Sneaker proxies are not a separate product -- they are ordinary mobile or residential proxies used for sneaker bots. What matters is proxy type and session handling, not a special 'sneaker' label. Residential sneaker proxies and mobile sneaker proxies both come from the same pools KnoxProxy sells for every other use case.
Mobile 4G/5G proxies are the best sneaker proxies for SNKRS, since Nike's app rewards carrier IPs with the least scrutiny. Residential proxies are a solid second choice when mobile capacity runs low in a specific country during a major release.
No. Supreme keyword tools and stock-alert monitors only read stock pages, so a residential proxy group handles them well and costs less than mobile. Reserve mobile proxies for tasks that actually submit a checkout or a raffle entry, like Kodai or Cybersole, where the added trust is worth the extra cost.
A cook group needs at least one dedicated IP per account, since shared IPs across accounts trigger the fraud checks that cause account bans. A group running 20 accounts across botting SNKRS and other drops needs 20 or more distinct mobile or residential IPs, one per account.
Yes. The same mobile and residential proxy setup that works for a sneaker bot applies to any limited-release drop bot -- apparel, collectibles, or other bots for shoes and streetwear. The proxy layer cares about IP trust and session handling, not the specific product category.
Rotating residential with city targeting included -- instant activation, 14-day money-back guarantee.