The best VPS for web scraping
A scraping VPS gives you dedicated NVMe resources, full root control and a clean IP that draws fewer captchas — sized by workload, paid with crypto, no ID.

Web scraping is unforgiving of weak infrastructure. A shared box throttles your concurrency, a recycled IP gets you challenged or blocked before the first page loads, and a locked-down host won't let you install the headless browser your crawler depends on. A dedicated VPS solves all three: isolated vCPU and RAM you don't share, full operating-system control to run any framework, and a clean, screened IP that target sites haven't already flagged.
This page covers how to size a scraping server by workload, why clean IP space matters, where a VPS ends and rotating proxies begin, and how to stay inside both the law and our acceptable-use policy. Every tier is all-NVMe KVM with unlimited traffic, deploys in about 60 seconds, and you can pay with Monero or another coin without handing over an ID on our no-KYC VPS.
Why run a scraper on a VPS
A VPS gives a crawler the three things shared hosting and serverless functions cannot: dedicated resources, persistent state and unrestricted OS control. Because each tier is KVM with allocated vCPU and RAM rather than a shared container, a long-running crawl will not get throttled the moment a neighbour spikes. You get root, so you install whatever your job needs — Python with Scrapy, Node with Crawlee, a full headless Chromium under Playwright, your own queue and database — and you keep it running on a schedule with cron or systemd timers.
Persistence matters more than people expect. A scraper that maintains its own request queue, deduplication store and partial results survives restarts and resumes cleanly, which is far more reliable than stateless function invocations that reset every run. Unlimited traffic on every tier means a large crawl will not hit a bandwidth overage mid-job, and a dedicated NVMe disk keeps your local cache, parsed output and any embedded database fast. If you are new to provisioning one, the docs walk through first boot and SSH access.
Sizing your scraping server by workload
Match the tier to what your crawler actually does, not to the size of the target site. The deciding factor is whether you render JavaScript.
- Light, text-only scraping — HTML fetches with
requests,httpxor Scrapy, parsing withlxmlor BeautifulSoup. This is memory-light and IO-bound; the Cub (1vCPU/ 2 GB / 40 GB) or Scout (2 / 4 / 70) handle it comfortably, even at high concurrency. - JavaScript-rendering and headless browsers — Playwright, Puppeteer or Selenium driving headless Chromium. Each browser context can consume 300-700 MB, so plan for at least 4 GB RAM and 2 or more
vCPU. The Runner (3 / 6 / 100) suits a few concurrent browsers; the Hunter (4 / 8 / 140) gives real headroom for a pool of them. - Heavy, parallel crawls — large frontier, many simultaneous renders, an in-process database. Step to the Alpha (6 / 12 / 200) or higher so the OOM killer never reaps a worker mid-run.
Headless Chromium is almost always the bottleneck. If your scraper does not need a real browser, run a plain HTTP client and you will get several times the throughput on the same tier.
Clean IPs and why they matter for scraping
Most budget-cloud IP ranges arrive pre-blacklisted. They have been used for spam, abuse and prior scraping, so anti-bot systems and DNS blacklists already distrust them — which means more captchas, more 403 and 429 responses, and outright blocks before your crawler does anything wrong. The IP's reputation, not your behaviour, is what gets you challenged.
We screen and allocate clean IP space, and every server ships with one dedicated IPv4 plus an IPv6 /64. A clean, non-recycled address means fewer interstitial challenges and a higher share of pages that simply load. You do not have to take that on faith: before or after you deploy, run your IP through Spamhaus, AbuseIPDB or Cisco Talos. Our guide to checking if an IP is blacklisted walks through it, and if you ever land on a flagged address you can request a swap through the control panel.
VPS, proxies, or both
A VPS and a proxy network solve different problems, and confusing them wastes money. The VPS is where your scraper runs — the compute, the queue, the parsing, the storage. A proxy is the exit IP your requests appear to come from. A single VPS has one clean dedicated IP, which is excellent for moderate-volume crawling against sites that rate-limit per IP rather than blanket-block.
You add rotating proxies on top of the VPS once a single IP is no longer enough: high request volume that would trip per-IP rate limits, geo-targeted data that must appear to originate from specific countries, or aggressive anti-bot defences that block any IP making more than a handful of requests. In that architecture the VPS still does all the work and orchestrates the rotation; the proxies only change the apparent source address. For most projects, start with the clean VPS IP alone, measure your block rate, and add proxies only when the data proves you need them.
Choosing and tuning your scraping stack
Deploy a recent Ubuntu LTS (we also offer Debian, AlmaLinux, Rocky, Fedora, Arch, Alpine and FreeBSD) and build from there:
- Scrapy — the most efficient choice for large text crawls. Its async engine sustains high concurrency on modest RAM; tune
CONCURRENT_REQUESTS,DOWNLOAD_DELAYandAUTOTHROTTLEto stay polite and avoid self-inflicted blocks. - Playwright or Crawlee — reach for these only when the data is behind JavaScript. Run headless Chromium with
--no-sandboxin a container or a constrained user, and cap the number of concurrent browser contexts to your RAM budget so the OS does not start swapping.
Operational hygiene keeps long jobs healthy: send headless Chrome's user-data directory and your output to the NVMe disk, not a network mount; run the crawler under systemd so it restarts on failure; and watch memory with htop during the first full run, because a leaking browser pool is the most common cause of a stalled crawl. Pay for any of it without ID through our crypto VPS checkout.
Staying within policy and the law
Scraping is a tool, and the legality lives in how you use it. Collecting publicly accessible data within a target site's terms of service and the applicable law is a legitimate, common use of a server. Hammering a site until it falls over, circumventing authentication, or harvesting personal data in breach of privacy law is not — and that is on you, not the infrastructure.
Our policy is straightforward. We run an offshore, court-order-only operational stance: routine complaints are handled as policy rather than automatic takedowns, and we act on valid court orders in the server's jurisdiction. That is operational policy, not legal immunity — we never claim a server is untouchable. There is also a hard floor that applies to every account with no exceptions: no CSAM, no weapons trafficking, no terrorism. Read the full acceptable-use policy before you scale up a crawl.
Picking a tier and getting started
For most scraping projects the choice is simple. Text-only crawlers run happily on the Cub or Scout; anything driving headless browsers wants the Runner or Hunter for the RAM and vCPU that Chromium demands; large parallel jobs scale into the Alpha and above. Every tier is all-NVMe KVM with a clean dedicated IP and unlimited traffic, so a heavy crawl never meets a bandwidth cap, and you can resize as your workload grows.
Deployment takes about 60 seconds after payment confirms, with no setup fee and honest month-to-month pricing — annual prepay gives you two months free. Pay with Monero, BTC, ETH, LTC, USDT or USDC-on-Base; we are no-KYC, so there is no ID and no document upload, only an email for credential delivery. That makes us private, not anonymous: real anonymity also depends on your own payment and network hygiene, including where you fund the wallet you pay from.
Frequently asked questions
How much VPS do I need for web scraping?
It depends on whether you render JavaScript. Light, text-only scraping runs fine on 1-2 GB RAM and 1 vCPU — the Cub or Scout tier. JavaScript-rendering with a headless browser, or large parallel crawls, want 4 GB or more and 2+ vCPU, which is our Runner or Hunter tier. Each headless Chromium context alone can use 300-700 MB, so size for the browsers, not the site.
Do clean IPs actually help with scraping?
Yes. Anti-bot systems and DNS blacklists judge the IP's history before they judge your behaviour. A recycled budget-cloud range that has already been used for spam or abuse triggers more captchas and outright blocks, while a clean, screened IP gets challenged far less often. We screen and allocate clean IP space, and you can verify any address on Spamhaus or AbuseIPDB — see our blacklist-check guide.
Do I still need proxies if I have a VPS?
Not always. A single VPS has one clean dedicated IP, which is enough for moderate-volume crawling against sites that rate-limit per IP. You add rotating proxies on top of the VPS for high request volume, geo-targeted data, or aggressive anti-bot defences. The VPS always runs your scraper and orchestrates rotation; the proxies only change the exit IP. Start with the VPS IP alone and add proxies when your measured block rate proves you need them.
Can I pay privately for a scraping VPS?
Yes. We are no-KYC — no ID and no document upload, only an email for credential delivery. Pay with Monero, BTC, ETH, LTC, USDT or USDC-on-Base through an any-coin checkout that settles on chain, so no third party holds your payment identity. That makes you private, not anonymous: anonymity also depends on your own payment and network hygiene.
Is web scraping allowed on your servers?
Collecting publicly accessible data within the target site's terms of service and applicable law is a legitimate use of a server. Abusive crawling, circumventing authentication or harvesting personal data in breach of privacy law is not. Our court-order-only operational policy and the hard abuse floor — no CSAM, no weapons trafficking, no terrorism, no exceptions — apply to every account. See the acceptable-use policy for the full terms.
What framework should I run for scraping?
For large text-only crawls, Scrapy is the most resource-efficient choice; tune CONCURRENT_REQUESTS and AUTOTHROTTLE to stay polite. Reach for Playwright or Crawlee only when the data is behind JavaScript and you genuinely need a headless browser, since Chromium multiplies your RAM needs. Deploy on Ubuntu LTS, run the crawler under systemd so it restarts on failure, and keep output on the NVMe disk for speed.
کاوش بیشتر.
Deploy an offshore VPS in about a minute
No-KYC, crypto-paid, all-NVMe. Pick a tier, pay in Monero or any major coin, and get root in roughly 60 seconds.
