Web Scraping Proxies Explained: Residential, Datacenter, and ISP Proxies Compared

Every proxy vendor claims 99%+ success rates and millions of IPs. Almost none of them define what "success" means in those claims, and the IP counts include addresses that haven't been online in months.

This post cuts through it. It covers how the proxy market actually works, what the different proxy types actually do, which vendors are worth considering for different use cases, and what real-world success rates look like on high-security targets.

Why Proxies Exist in Scraping (The Real Reason)

The simple answer is "to avoid IP blocks." But the real explanation is more specific.

Anti-bot systems classify requests primarily by the Autonomous System Number (ASN) of the originating IP — a code that identifies which organization owns the IP block. AWS, GCP, Azure, DigitalOcean all have well-known ASNs. Any request from those ASNs is immediately marked as "server traffic" by detection systems and gets heavy scrutiny or an outright block.

Residential proxy networks solve this by routing your requests through IP addresses owned by real Internet Service Providers — Comcast, AT&T, BT, Deutsche Telekom. These IPs have consumer ASNs. From the target website's perspective, your request looks like it's coming from someone's home in Sacramento.

The Four Proxy Categories

1. Datacenter Proxies

IP addresses from cloud hosting providers or secondary hosting companies. Fast (10–50ms latency), cheap ($0.50–2/GB), and useless against any site with serious bot detection.

When they work: Sites with no anti-bot layer — job boards without protection, small e-commerce sites, news sites, public government data, academic databases. If the site doesn't use Cloudflare, DataDome, or a similar platform, datacenter proxies will work fine and cost a fraction of alternatives.

When they fail: Amazon, LinkedIn, Ticketmaster, Nike, most retail, any site running commercial bot management. These platforms blocklist datacenter ASNs at the infrastructure level. You won't even get a CAPTCHA — just a connection reset or an empty response.

Representative vendors: Webshare, ProxyEmpire, Proxy-Cheap

2. Residential Proxies

IP addresses from actual consumer devices on home internet connections. These IPs are contributed by device owners who have installed a partner application (usually a VPN service, battery optimizer, or similar app) that allows their bandwidth to be used as a proxy when they're not actively using it.

Success rates on hard targets: 70–85% on Amazon, 60–75% on LinkedIn, 85–95% on mid-tier e-commerce. The variation depends heavily on how "clean" the specific IP pool is — whether those IPs have been used for scraping recently and added to blocklists.

Pricing: $3–15/GB depending on vendor and pool quality. At $10/GB, extracting 1M product pages (~500KB average page size) costs ~$500 in proxy bandwidth alone.

The ethical ambiguity: Proxy network vendors acquire residential IPs through SDK integrations buried in other apps. The device owners technically consented — but often in a ToS paragraph no one reads. Some vendors are scrupulous about explicit opt-in; others are not. This is worth considering if it matters to your use case.

Representative vendors: Bright Data (largest pool, ~72M IPs, most expensive), Oxylabs (~100M IPs), Smartproxy (~55M IPs), Decodo (formerly Smartproxy rebrand)

3. ISP Proxies (The Category Most Guides Ignore)

ISP proxies are the fastest-growing segment of the proxy market and are underrepresented in most comparisons.

Unlike residential proxies (which route through real consumer devices with variable performance and availability), ISP proxies are static IP addresses assigned by real ISPs but hosted on servers. The ISP has sold a block of IPs to the proxy provider, who then hosts them on stable infrastructure.

This gives you:

• Consumer ASN → passes the first detection filter
• Static, stable IP → consistent performance, no connection drops when the home user goes offline
• Server-grade speed → 5–20ms latency vs. 50–200ms for residential
• No ethical ambiguity → no one's home bandwidth is being used

Success rates on hard targets: Comparable to residential proxies on most sites (80–90% on Amazon), sometimes better because the IP quality is more consistent. Fresh ISP IPs that haven't been scraped before often outperform recycled residential IPs.

Pricing: $2–8/GB, often cheaper than residential because there's no device acquisition cost.

When to use ISP over residential: Any time you need consistency and speed alongside consumer ASN detection. ISP proxies are particularly good for price monitoring use cases where you need reliable 24/7 uptime.

Representative vendors: Bright Data (Static Residential), IPRoyal, Proxy-Seller, NetNut

4. Mobile Proxies

4G/5G cellular IP addresses. These have the highest trust scores of any proxy type because:

• They're hard to blocklist — millions of users share the same cellular IP (carrier-grade NAT)
• Blocking a mobile IP blocks many legitimate users along with the scraper

Success rates on extremely hard targets: 90–95% on sites that block even residential IPs. Effective on highly protected targets like ticket sale sites, sneaker drops, and platforms with very aggressive bot detection.

Pricing: $15–50/GB. 2–5x more expensive than residential.

When the cost is justified: Targets where other proxy types have <60% success rates, or where the value of the data significantly exceeds proxy costs. Not appropriate for general-purpose scraping.

Representative vendors: Soax, Infatica, MARS Proxies

The Success Rate Gap: What Vendors Claim vs. Reality

Every vendor's homepage says "99%+ success rate." Here's what that number means and doesn't mean:

What it typically measures: Success rate against a set of test targets that the vendor has pre-optimized their pool for. Usually includes many easy-to-scrape sites (news, government, open APIs).

What it doesn't measure: Success against your specific target with your specific use pattern.

Real-world success rates reported by the scraping community (2024–2025 data from public forums, Discords, and vendor comparison communities):

The numbers degrade further if you're running high volume (>1M requests/day) because IPs get flagged faster with heavy use.

The Economics of a Scraping Operation

Let's calculate what it actually costs to collect 1 million Amazon product data points per day.

Assumptions:

• Average page size: 400KB
• Success rate with residential proxies: 80% (so you need to fetch 1.25M pages to get 1M successful extractions)
• Proxy cost: $8/GB (mid-tier residential)
• Compute: AWS t3.medium running Playwright, ~$0.04/hour, 24/7 = ~$30/month

Proxy bandwidth:

• 1.25M pages × 400KB = 500GB/day
• 500GB × $8/GB = $4,000/day in proxy costs

That's $120,000/month for proxy bandwidth alone — just to get 1M Amazon product pages daily.

This is why serious scraping operations at this scale either (a) use data aggregators who spread costs across many clients, (b) build direct partnerships with Amazon via the Product Advertising API ($0 for approved use cases), or (c) focus proxy budget on a smaller, higher-value subset of pages.

At 10,000 pages/day:

• 12,500 requests × 400KB = ~5GB/day
• $8/GB × 5 = $40/day, $1,200/month

At this scale, proxy costs are manageable and a residential setup is viable.

The inflection point: When your proxy budget exceeds the developer time cost of maintaining the scraper, it's worth evaluating commercial data APIs (Amazon SP-API, LinkedIn API) or data provider partnerships.

How Proxy Rotation Actually Works

Naive rotation — new IP every request — is counterproductive on sites like Amazon. You end up sending every request from a cold IP with no session history, which is more suspicious than a single consistent IP making sequential requests.

Better rotation strategies:

Session-based rotation: Use one IP for an entire browsing session (homepage → search → product page). Rotate IPs between sessions. This produces a natural session cookie chain on each IP.

Request-volume rotation: Rotate after N requests per IP (typically 50–200 depending on target aggressiveness).

Failure-triggered rotation: Keep the same IP until you get a block signal (403, CAPTCHA, empty response), then rotate. This maximizes clean IP lifetime.

Geo-targeted pools: Use IPs in the same geographic region as your target data. If you're scraping Amazon.com for US pricing, use US residential IPs. Geographically inconsistent requests are a detection signal.

Selecting a Proxy Vendor: The Actual Checklist

1. 02

   Verify the IP count honestly. Ask for the count of IPs that have successfully made a request in the last 7 days. "100M IPs" including dead addresses is meaningless.

2. 04

   Test against YOUR target, not their test targets. Every reputable vendor offers a free trial or pay-as-you-go option. Run 1,000 requests against your actual target before committing to a volume plan.

3. 06

   Check their ASN diversity. A residential proxy provider with 10 ISP partners has much more homogeneous traffic than one with 50. More ISP diversity means more natural-looking traffic distribution.

4. 08

   Evaluate their replacement policy. When an IP gets blocked, how quickly is it replaced? Some vendors have real-time pool management; others refresh monthly.

5. 10

   Understand concurrency limits. Some plans limit simultaneous connections. A 10-connection limit is fine for small-scale scraping; production operations need 100–1,000+ concurrent connections.

6. 12

   Calculate total cost, not just per-GB cost. A cheaper per-GB rate with a lower success rate may cost more total when you factor in the bandwidth wasted on failed requests.

The Future of Proxy Detection

The proxy industry is not standing still. Detection systems are evolving toward:

IP scoring databases: Providers like MaxMind, Spur, and IPQualityScore maintain IP reputation scores that websites can query in real-time. An IP that has been used by 50 different scraping operations in the last month will have a terrible reputation score regardless of its ASN.

Behavior-at-scale detection: Modern detection systems don't just analyze individual sessions. They analyze patterns across millions of sessions to identify coordinated activity — multiple IPs all hitting the same product pages in the same sequence is a signal even if each individual IP looks clean.

Browser attestation (future): If Chrome and Safari implement hardware-verified browser attestation, the value of proxy networks drops significantly — because the browser itself, not just the IP, will need to be verified as genuine.

The proxy industry's response is moving toward smaller, higher-quality pools (fewer IPs but all genuinely clean) and toward integrating AI-driven traffic simulation at the proxy layer itself.

For now: residential and ISP proxies remain effective for most targets. Pick the cheapest option that hits your success rate target. Test before committing. Monitor your success rates continuously — they degrade over time as your IPs accumulate history on the target sites.