Apify vs ZenRows
Apify vs ZenRows
vs
vs
Independent measurementDemo dataFetchGauge probes · self-funded accounts · no vendor-supplied dataMethodology v2.3 →
14 min ago · hourly
n = 1,284 / run · 924,480 / 30D
Tokyo (ap-northeast-1)
Scraping API · identical target list
JS off · 50 conc · 30s timeout · 3 retries
50 e-commerce domains
Simulated protocol · all figures and freshness timestamps are fixtures, not real measurements.
Winner by workload · from stored runs
Large-scale scraping
ZenRows
95.7%vs96.9%
Higher success rate; concurrency 32 / 200
Low latency
ZenRows
2.10svs1.80s
300 ms difference at p50
Cost-sensitive
Apify
$1.25vs$1.70
35.8% gap per successful request
Small project
Apify
$49vs$69
Lowest committed plan
| Metric | Apify | ZenRows | Difference · A / B |
|---|---|---|---|
| Performance | |||
| Success rate | 95.7% | 96.9% | ZenRows +1.2 pt |
| p50 latency | 2.10s | 1.80s | ZenRows 300 ms faster |
| p95 latency | 5.20s | 4.60s | ZenRows 600 ms faster |
| Error rate | 4.3% | 3.1% | ZenRows · 1.2% lower |
| Reliability score | 81 | 86 | ZenRows +5 |
| Stability σ 30d | 1.2% | 0.9% | ZenRows · 0.3% lower |
| Cost | |||
| List price / 1k requests | $1.20 | $1.65 | Apify · $0.45 lower |
| Cost / 1k successful | $1.25 | $1.70 | 35.8% gap |
| Minimum monthly plan | $49 | $69 | Apify · $20 lower |
| JS rendering surcharge | 3.0× | 5.0× | Apify · 2.0× lower |
| Coverage | |||
| Countries | 150 | 190 | ZenRows · 40 higher |
| Concurrency | 32 | 200 | Higher concurrency shown in bold |
| JS rendering | Yes | Yes | Same sample capability |
| Browser API (CDP) | Yes | Yes | Same sample capability |
| Developer | |||
| API / SDKs | Not specified | Not specified | Not available in the canonical dataset |
| MCP server | Yes | Yes | Same sample capability |
| Structured extraction | Yes | Yes | Same sample capability |
| Docs quality | Not specified | Not specified | Not available in the canonical dataset |
| Support | |||
| SLA | Not specified | Not specified | Not available in the canonical dataset |
| Support channels | Not specified | Not specified | Not available in the canonical dataset |
Bold = better between A and B. Cost / 1k ok = list price ÷ sample success rate.Methodology →
Performance
Success rate
95.7%96.9%
ZenRows +1.2 pt
p50 latency
2.10s1.80s
ZenRows 300 ms faster
p95 latency
5.20s4.60s
ZenRows 600 ms faster
Stability σ 30d
1.2%0.9%
ZenRows · 0.3% lower
Cost
Cost / 1k successful
$1.25$1.70
35.8% gap
Minimum monthly plan
$49$69
Apify · $20 lower
JS rendering surcharge
3.0×5.0×
Apify · 2.0× lower
Coverage
Concurrency
32200
Higher concurrency shown in bold
JS rendering
YesYes
Same sample capability
Browser API (CDP)
YesYes
Same sample capability
Developer
MCP server
YesYes
Same sample capability
Structured extraction
YesYes
Same sample capability
Support
SLA
Not specifiedNot specified
Not available in the canonical dataset
Success rate · 30D
p50 latency · 30Dseconds
Region and workload labels describe the sample scenario. JS-heavy applies the canonical JS penalty. Unspecified capabilities have no winner.
Affiliate links · disclosure. Never affect scores.