Every Crawlzo engagement today is custom: scoped, sampled, and priced to the exact shape of the data your product runs on. Use the calculator below for a reference estimate, then tell us about your workload and we'll come back with a precise quote within 24 hours.
Move the sliders. The math runs at reference rates, what self-serve will cost when it launches in 2026. Today, the actual number is what we agree on after we see your sources and your volume. The calculator gets you in the right zip code; we'll tighten it to a quote in 24 hours.
Sources, shape, freshness, volume, delivery target, security posture. The more specific you are, the faster we move.
Within 24 hours: a sampled output you can inspect, a scoped plan, and a precise price quote. Engineer-to-engineer scoping, not sales theater.
If it's a fit, the data starts flowing within a week. Production-grade by week two on most engagements.
| Sandbox | Sprint | Surge | Scale | |
|---|---|---|---|---|
| ▮ Engine | ||||
| Monthly requests | 5K | 250K | 2M | Custom* |
| HTTP retrieval | ● | ● | ● | ● |
| JS render (Chromium) | limited | ● | ● | ● |
| Protected-target engine | — | — | ● | ● |
| Search Data API | — | 1K/mo | 25K/mo | Custom |
| Datasets access | — | preview | full catalog | full + custom |
| ▮ Concurrency & reliability | ||||
| Concurrent workers | 5 | 50 | 500 | dedicated pool |
| Region exits | 1 | 3 | all 11 | all + custom |
| Uptime SLA | best-effort | 99.9% | 99.95% | 99.99% |
| P50 latency target | 350ms | 300ms | 220ms | 150ms |
| Replay window | 24h | 7d | 30d | 90d |
| ▮ Delivery & integration | ||||
| Webhook | ● | ● | ● | ● |
| S3 native | — | ● | ● | ● |
| BigQuery / Snowflake / Postgres | — | — | ● | ● |
| Kafka / Redpanda | — | — | ● | ● |
| Schema validation | — | basic | ● | ● |
| ▮ Security & compliance | ||||
| Encryption in transit & at rest | ● | ● | ● | ● |
| GDPR DPA | ● | ● | ● | ● |
| SSO / SAML | — | — | add-on | ● |
| Custom data residency | — | — | — | ● |
| HIPAA BAA | — | — | — | ● |
| ▮ Support | ||||
| Channels | Direct engineer | Slack-connect | Dedicated on-call | |
| Response SLA | — | 24h | 4h | 1h |
| Solutions engineer | — | — | shared | dedicated |
| Credit-back on SLA miss | — | 10% | 25% | 100% |
* Scale-grade engagements run on committed annual volume, usually 100M+ requests / mo. Talk to our team for a sizing.
Most engagements don't need these. The ones who do, need them badly.
You tell us what data you need: sources, shape, freshness, scale. We come back within 24 hours with a sampled output, a scoped plan, and a price. Pilot in week one if it's a fit.
Targeting 2026. Until then, every engagement is custom. The current model lets us go deeper with each team than a self-serve flow ever could, and most of our customers prefer it that way.
On enterprise engagements, billing is metered on successful, schema-passing rows delivered to your sink. Retries, blocks, 5xx errors, and timeouts are not billed. The reference tiers below show where self-serve pricing will land.
Sources, volume, cadence, SLA, delivery target, security posture: each is part of the conversation. You don't pay for tiers that don't match your workload, and we don't sell you a plan you'll outgrow in three months.
Anywhere from a single high-value data product to a multi-source pipeline running into the billions of rows per month. Every engagement gets a dedicated engineer; the largest get a dedicated solutions team.
Yes. A substantial discount for accredited universities and registered non-profits. Email us with a .edu / 501(c)(3) reference and we'll structure something that works.
Both available. Annual brings a 20% discount on the reference tiers, and committed-volume pricing on Scale-grade engagements. Net-30 / net-60 terms standard.
GDPR-ready DPAs, PII redaction at the extraction layer, encryption in transit and at rest, and custom data residency (EU / US / on request) are part of the scope conversation from day one.