Every Amazon scraping API claims to be "fast." Almost none of them publish a number next to that word. So we ran the same request — a single product page pull — against every major provider and timed it, end to end, response received.
The results aren't close. The gap between the fastest and slowest provider is over 20x. And speed here isn't a vanity metric — it's the difference between your AI agents reacting to a price change the moment it happens and finding out about it after the opportunity is gone.
Quick answer
- ⦿ Asgard: 2.0s, 100% success — fastest of any provider tested
- ⦿ Oxylabs: 3.54s, 98.14% success
- ⦿ Bright Data: 4.31s, 98.42% success
- ⦿ ScrapingBee: 4.96s, 100% success
- ⦿ ScrapingAnt: 5.05s, 100% success
- ⦿ Scrapingdog: 5.48s, 100% success
- ⦿ Rainforest API: 6.2s, ~95% success
- ⦿ ZenRows: 6.58s, 20% success on this request type
- ⦿ ScraperAPI: 40.65s, 100% success — but 20x slower than the fastest option
The full benchmark
| # | Provider | Median response time | Success rate |
|---|---|---|---|
| 1 | Asgard | 2.0s | 100% |
| 2 | Oxylabs | 3.54s | 98.14% |
| 3 | Bright Data | 4.31s | 98.42% |
| 4 | ScrapingBee | 4.96s | 100% |
| 5 | ScrapingAnt | 5.05s | 100% |
| 6 | Scrapingdog | 5.48s | 100% |
| 7 | Rainforest API | 6.2s | ~95% |
| 8 | ZenRows | 6.58s | 20% |
| 9 | ScraperAPI | 40.65s | 100% |
(Figures are self-reported from our own testing, not a third-party benchmark. Success rate matters as much as speed — a fast provider that fails a fifth of the time, like ZenRows here, isn't actually faster in practice; you're re-requesting anyway.)
Why 2 seconds vs 40 seconds isn't just a UX detail
It's tempting to read a speed benchmark and think "a few extra seconds, who cares." But scraping speed isn't about how fast a page loads for a human — it's about how fast your system can act on what Amazon is doing right now. That speed directly improves your AI agents' decisions on:
- Live prices — faster refresh on product and offer pages means a competitor's price cut gets caught in seconds, not the next scrape cycle.
- Search results — quicker access to organic and sponsored listings means you catch a keyword rank move or a new sponsored competitor before your ad spend reacts to stale data.
- Buy Box owners — more timely detection of who controls the Buy Box means you know the second it flips, not minutes later when the sale is already lost.
The faster your scraper returns clean, structured data, the faster your agents can react to competitor moves, ad changes, and pricing shifts. A 40-second response isn't just slower — at scale, across thousands of ASINs and keywords, it's the difference between a system that runs in near real time and one that's structurally always behind.
What actually causes the gap
- Retry architecture. Amazon pages load dynamically, with content — like sponsored slots and pricing widgets — that renders in stages. A scraper built specifically for Amazon's page structure resolves this quickly; a general-purpose proxy API often has to retry blind, which is where a 40-second tail comes from.
- Purpose-built vs. general-purpose. Providers like ScraperAPI, ZenRows, and Zyte are broad web-scraping proxies — you're routing through generic infrastructure that has to handle every site on the internet, not just Amazon's specific rendering quirks.
- Success rate hides in the average. A provider with a 20% success rate on a request type (like ZenRows above) looks fast in isolation, but the real cost includes every failed attempt you have to retry. The honest number is speed and reliability together.
- Queueing and shared capacity. Slower providers are often queuing your request behind other customers' load. A dedicated, Amazon-specific pipeline doesn't have that contention.
How to think about speed when picking a provider
- If you're running live pricing or repricing logic: anything above a few seconds per request compounds badly once you're polling thousands of SKUs on a schedule.
- If you're tracking Buy Box changes: the value of the alert decays the moment it's stale — a 40-second scrape can mean you're already too late to react.
- If you're feeding an AI agent: agents making pricing, bidding, or restocking decisions are only as good as the freshness of the data they're reasoning over. Slow, batched scraping quietly caps how "real-time" your agent can actually be.
- Don't just look at speed — look at speed under success. A fast provider with a low success rate isn't fast; it's fast until it fails, then you're waiting on a retry anyway.
Frequently asked questions
Is this benchmark just marketing? The numbers are self-reported from our own side-by-side testing, not an independent third party — we're transparent about that. But the methodology is simple and repeatable: same request type, same conditions, timed end to end.
Why does speed matter more for Amazon specifically than general web scraping? Amazon's pricing, Buy Box, and search rank data change constantly and are exactly the kind of data where "an hour old" and "right now" produce different business decisions. A general-purpose scraper wasn't built around that reality; a fast, Amazon-specific one is.
Does a faster response mean lower data quality? No — speed here is about retry and rendering efficiency against Amazon's specific page structure, not about returning less data. Asgard's 2-second response is a full structured payload, not a partial one.
What's the real cost of the slow end of this table? At single-request scale, a 40-second response is annoying. At the scale of monitoring thousands of ASINs and keywords on a schedule, that gap becomes the reason a "real-time" pricing or Buy Box system is actually running tens of minutes behind reality.
The short version
A scraping API's speed isn't a leaderboard stat — it's a ceiling on how real-time anything built on top of it can be. Asgard returns a full structured Amazon payload in ~2 seconds with a 100% success rate, so your pricing logic, Buy Box alerts, and AI agents are working with what Amazon looks like right now — not what it looked like a scrape cycle ago.
☞ API Reference · docs at asgardata.com