Every Crawlzo engagement today is custom: scoped, sampled, and priced to the exact shape of the data your product runs on. Tell us about your workload and we'll come back with a precise quote within 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.
We also offer custom plans tailored to your volume, sources, and SLA. Talk to our team and we'll scope one to your workload.
| Sandbox | Sprint | Surge | Scale | |
|---|---|---|---|---|
| ▮ Engine | ||||
| Included requests | 1K one-time | 250K/mo | 2M/mo | 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.