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Proxy Guide

When Datacenter Proxies Are Enough

Most proxy documentation is written from the perspective of hardened targets. Most actual workloads don't run against hardened targets — and paying residential pricing on a target that accepts datacenter IPs is overhead with no return.

In practice

  • B2B data APIs, public data sources, unprotected endpoints → datacenter sufficient ✔
  • Lowest cost per GB, highest throughput, predictable session stability ✔
  • Any target without ASN-based filtering accepts datacenter IPs ✔
  • Major e-commerce platforms, social networks, search engines at scale → datacenter blocked ✗
  • Cloudflare Bot Management or Akamai WAF in the stack → test before assuming ✗

The majority of URLs on the internet don't run ASN filtering. The majority of proxy spend goes to targets that do.

Overview

The proxy industry defaults to recommending residential proxies because residential is where margins are, and because the proxies that solve the hardest targets are the ones that get written about. Most operators aren't scraping the hardest targets. Most operators are collecting data from public APIs, unprotected web properties, B2B data sources, or government datasets — none of which implement ASN filtering.

A target that doesn't filter by ASN accepts datacenter IPs with the same success rate as residential. The cost difference between the two proxy types is real and significant. The performance difference, for that target, is zero.

How to think about it

ASN filtering is not the default protection mode for most web infrastructure. It is an explicit configuration — a WAF rule, a bot management policy, or a custom middleware implementation — that a site operator has deliberately added. Sites that have added it are typically operating at scale with meaningful bot traffic problems: major e-commerce platforms, social networks, news sites with high-value data, and government services with abuse vectors. Sites that haven't added it are the majority.

The test is direct: send a request through a datacenter proxy and observe the response. A 200 with target content means ASN filtering is not blocking the request. A 403, a redirect to a CAPTCHA, or a challenge page means something in the stack is filtering — but not necessarily ASN filtering specifically. A block that persists on residential IPs as well indicates the filtering layer isn't IP-type based. A block that clears on residential IPs confirms ASN filtering was the mechanism.

Target categories where datacenter proxies reliably succeed: public government data portals, academic databases, B2B data APIs without abuse history on the requester's use case, product data from small and mid-market e-commerce, job boards below enterprise tier, real estate listing aggregators at moderate volume, public financial data sources. The common property is that these targets haven't implemented ASN-based filtering because the cost of doing so exceeds the benefit at their traffic volumes.

How it works

The verification protocol before committing to a proxy type: send 50–100 test requests through shared datacenter IPs against the target. Measure success rate. If success rate is above operational threshold — typically 90%+ for structured data collection — datacenter is sufficient. Run the test at the concurrency level the production workload requires, not just in low-volume verification mode: some targets apply rate limiting that only activates at volume, which a low-volume test misses.

If the initial test shows blocks or challenges, isolate the cause before escalating proxy type. Use a real browser through the same proxy to test the same URL. If the browser succeeds and the scraper fails, the problem is TLS fingerprinting or JavaScript execution, not the IP type — residential proxies will not fix it. If the browser also fails, the IP is likely on an active blocklist or the ASN is filtered. The distinction determines whether the fix is proxy type change or request structure change.

Scaling on datacenter proxies requires monitoring per-IP success rate over time. Shared datacenter pools accumulate reputation from all customers. If block rate increases over the course of a long scraping run, the IPs are being flagged by the target in real time — not a structural ASN block but a behavioral or rate-limit-triggered block. Response: increase rotation speed, reduce per-IP request rate, or move to a pool segment with fresher IPs.

Where it breaks

CDN-protected targets may accept datacenter IPs on initial requests and apply ASN filtering only on endpoints that serve high-value data. A product listing page may pass through Cloudflare without challenge; the API endpoint that returns structured pricing data may have an explicit datacenter ASN block rule. The test that passes on public pages does not confirm that all target endpoints accept datacenter IPs.

Volume-triggered rate limiting looks like ASN blocking at the request level — both produce 429s and 403s — but responds differently to proxy type changes. ASN blocks clear on residential IPs immediately. Rate limiting blocks persist on residential IPs at the same request volume because the block condition is the volume, not the IP type. If residential proxies don't improve success rate at the same throughput level, the problem is rate limiting, not ASN filtering. The fix is reducing request rate or distributing across more sessions, not upgrading proxy type.

Targets that start accepting datacenter IPs may add ASN filtering after observing scraping patterns from commercial IP ranges. A workload that ran successfully on datacenter proxies for weeks can begin failing after the target's bot management policy is updated. This is not a proxy quality issue — it is a target detection system update. The signature is a sudden increase in block rate with no change in scraping behavior.

In context

Moving to residential proxies before confirming ASN filtering is the actual constraint costs 5–15x more per GB with no improvement in success rate on targets that weren't filtering by ASN in the first place. At scale, this is a significant budget difference. The opportunity cost is the spend on proxy infrastructure that isn't solving a real problem — budget that could apply to request structure optimization, retry logic, or parsing infrastructure that actually improves the pipeline.

ISP proxies sit between datacenter and peer-network residential for operators who want the cost savings of managed infrastructure with the option to present residential classification if ASN filtering is encountered. The per-GB cost is lower than peer-network residential and higher than datacenter. ISP proxies are a reasonable intermediate position for workloads where datacenter is borderline — passing on most endpoints but failing on high-protection ones.

The correct escalation sequence is datacenter first, ISP proxy second, residential peer network third — moving to the next tier only when the evidence from the previous tier confirms ASN-based filtering is the binding constraint. Most workloads stop at the first tier. Some reach the second. Fewer actually require the third.

Choose your path

The default starting position for any new scraping workload is datacenter. Run the test. Measure success rate at production concurrency. Escalate proxy type only when the test confirms ASN filtering is the binding constraint — not when the target 'seems hard' or when the use case is typically associated with residential proxies.

  • No block on initial test → datacenter is sufficient; start scraping
  • Block clears on residential but not datacenter → ASN filtering confirmed; escalate
  • Block persists on residential → problem is not ASN; fix request structure before upgrading proxy type
  • Block appears at volume but not low-rate → rate limiting, not ASN; reduce throughput
  • Block on specific endpoints only → test each endpoint independently before changing proxy type
Datacenter proxy providers — comparison for workloads where ASN isn't filteredWhen residential is actually required — the specific conditions that confirm itProxy setup failure modes — diagnosing which layer is the actual problem