Datacenter proxies are the fastest, most cost-efficient option for targets that tolerate datacenter IP ranges. They're ideal for SEO crawls, price feeds, and internal analytics pipelines where throughput beats stealth.
When datacenter is the right choice
Choose datacenter when:
- The site does not block hosting ASN ranges
- You need high request volume at predictable cost
- Latency and connection reuse matter for your crawler
Skip datacenter when the target enforces residential/mobile fingerprints or aggressive bot management on cloud IPs.
Pay-per-GB vs unlimited
Pay-per-GB fits bursty workloads with variable traffic. You pay for data transferred and can scale down between jobs.
Unlimited plans make sense when:
- You run continuous crawls with steady concurrency
- Thread count is predictable week to week
- Egress would otherwise dominate your unit economics
Model your monthly GB and thread requirements before committing unlimited wins when you'd exceed tiered GB pricing at your target concurrency.
Concurrency and connection pooling
Datacenter shines with keep-alive and connection reuse:
import requests
proxies = {"http": PROXY_URL, "https": PROXY_URL}
session = requests.Session()
session.proxies.update(proxies)
for url in urls:
response = session.get(url, timeout=30)
response.raise_for_status()
Reuse sessions to cut TLS handshakes and improve requests per second per thread.
Protocol support
RedScrape datacenter endpoints support HTTP and SOCKS5. SOCKS5 helps when your stack needs lower-level socket control; HTTP is simpler for most REST and HTML crawlers.
Shared pool, shared economics
Our datacenter pool offers +10k shared IPs across global regions. Shared pools trade exclusive ownership for price and availability rotate actively and monitor per-domain block rates.
Operational checklist
- Confirm target allows datacenter traffic on a sample URL set
- Set per-domain rate limits before full crawl
- Monitor
403/429by region - Align thread count with unlimited tier if on flat pricing
Start small, validate block rates, then scale threads. Datacenter rewards disciplined throughput not brute force.
