Comparison · Scraping APIs and proxies

Import.io vs Zyte

Zyte, the company behind the open-source Scrapy framework, offers Zyte API for unblocking and automatic extraction, Scrapy Cloud for hosting and scheduling crawlers, and Zyte Data for managed data delivery. Import.io offers a self-service extraction platform, managed web data delivery and a pricing intelligence application. Both offer self-service and managed approaches.

Published by Import.io. Sources and verification scope are recorded below. Features and terms vary by plan and agreement.

the short answer

Choose Import.io when

  • You want a no-code self-service route as well as managed delivery, from one provider on one engine.
  • You need commerce-specific capabilities: product matching, store-level pricing, MAP evidence and the Aperture application.
  • You want every managed engagement to start from a written schema contract and acceptance tests, with QA-gated delivery.
when they fit

Consider Zyte when

  • Your team already builds with Scrapy and wants hosting close to the framework.
  • You want a developer API with unblocking and automatic extraction.
  • A Zyte Data managed proposal fits your requirement.

Side by side, like for like.

Comparable routes are compared with each other. Documentation gaps are not evidence that a capability is missing. Compare the named product and confirm contractual scope.

Self-service compared with self-service

checked 25 September 2026

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Self-service compared with self-service
DimensionImport.io self-serviceZyte self-service
OfferingImport.io platform on the Standard, Professional or Advanced plan (self-service)Zyte API, optionally with Scrapy Cloud
BuildPoint-and-click or AI-assisted extractors with schema detection, configured by your teamYour team writes the spider or application; automatic extraction covers supported data types
Scheduling and deliveryHourly to monthly schedules. CSV, JSON and webhook on all plans; S3 and SFTP on Professional and above. API: rate-limited on Standard, full API and webhooks on Professional and aboveScrapy Cloud adds hosted scheduling and monitoring; using Zyte API alone, your application handles it
Site changesRun reporting flags failed and empty runs; your team updates the extractor. A managed engagement transfers this workYour team maintains spider logic; automatic extraction reduces selector work for supported types
QAPer-run success, failure and empty-row reporting; acceptance checks configured by your teamData acceptance checks are yours to define
ReliabilityPlatform availability and run reporting. End-to-end reliability depends on how your team configures and monitors the workflowAPI availability is separate from your end-to-end pipeline reliability
CostFrom $199 a month on a 12-month term billed monthly ($249 month-to-month): 50,000 successful queries, then $7 per 1,000. Professional $399 (200,000), Advanced $699 (500,000). Blocked and failed requests are not billedUsage-based API pricing, plus Scrapy Cloud where used
GovernanceGDPR and CCPA processing terms, PII detection and removal, audit logs. You approve sources, purposes and downstream useAttribute compliance statements to Zyte’s published sources and confirm scope

Managed compared with managed

checked 25 September 2026

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Managed compared with managed
DimensionImport.io managedZyte managed
OfferingImport.io Managed Services, scoped per agreementZyte Data, scoped per proposal
BuildImport.io engineers build each source against a written schema contract and acceptance tests you approveZyte builds the extraction for the agreed sources
Scheduling and deliveryAgreed cadence to S3, GCS, Azure Blob, Snowflake, BigQuery, Databricks, SFTP or API, with a manifest on every delivery; backfills per agreementManaged delivery; confirm cadence, format and destinations
Site changesDetected on the next run by QA against the baseline. AI proposes a fix, an engineer verifies it. Repair and escalation times are set in the agreementMonitoring is described; confirm repair responsibilities and times
QAAutomated checks against source HTML and the contracted schema, plus human review. Deliveries that fail are held, not shipped, as defined in the agreementMonitoring and QA are described; confirm the validations included
ReliabilitySLAs on coverage, freshness, correctness and response, with fees at risk, as defined in the agreementEnterprise SLAs advertised for the managed service; agree metrics, exclusions and remedies
CostPer source maintained, with fixed onboarding, on an annual agreement billed monthly. Scope changes are quotedManaged service fee per proposal
GovernanceNamed controls, data processing agreement and audit trail. You retain approval of sources and permitted useConfirm named controls and data handling terms

Cost and commercial context

Zyte API is usage-based, with Scrapy Cloud and Zyte Data priced separately. Import.io self-service is query-based with published plans and overages; managed is priced per source maintained. Compare in four clearly scoped columns: Import.io self-service, Zyte API with any hosting, Import.io managed, and Zyte Data.

Model your own numbers with the calculator on web scraping as a service, and see published plans on pricing.

What changes in practice

API access and structured extraction

Zyte API combines access handling, browser rendering and extraction. Its automatic extraction documentation covers supported types such as products, articles and jobs. Teams already using spiders should evaluate how much existing code and operational knowledge they can retain. [2]

Managed operations and QA

Zyte also markets a fully managed pipeline: building, running and maintaining extraction. It describes quality dimensions and enterprise SLAs. Compare managed proposals directly; do not imply that choosing Zyte always means operating everything yourself. [3]

Reliability and governance

An availability promise is different from an agreement about complete, fresh records. Define acceptance samples, incident escalation and reprocessing responsibilities. Request the applicable data processing terms and document your own approval of sources and permitted use. [3]

Cost and workload fit

Zyte API pricing varies by target tier, HTTP versus browser-rendered response and commitment. Use representative targets and rendering needs when estimating. Managed delivery is a separate scope and should be costed against the same outcome. [1]

Sources and methodology

Research updated: . The linked primary sources support the updated discussion below. Import.io publishes this comparison; it is not an independent review. Compare the operating model and plan you would actually buy. Public documentation changes, and a listed feature is not a guarantee for every source or agreement.

This comparison is published by Import.io. It evaluates the named products and service models using the primary sources linked below, checked on 25 September 2026. Features, limits and prices vary by plan and agreement. Fit depends on your sources, required output and the operational work your team wants to retain.

A provider’s product page shows what it advertises; it does not prove achieved uptime, accuracy or coverage. The source check recorded for this edition is 25 September 2026. Confirm current plans and terms with each provider before buying. Spot something out of date? Tell us.

Comparison FAQs.

Answers about the products and service models compared above.

Does Zyte offer a managed route?

Yes. Its data service describes operated extraction. Compare the scope and commitments in a proposal, not only the API subscription.

Does Zyte API return structured fields?

Yes, automatic extraction supports documented data types. Test your required fields and target sites rather than assuming all schemas behave identically.

Why does browser rendering matter to price?

The pricing model distinguishes HTTP and browser-rendered responses. Measure the response mode your sources actually require.

Should a Scrapy team consider switching?

Not automatically. Compare migration work and existing operational expertise with the work a new platform or managed scope would remove.

What should a Zyte and Import.io pilot compare?

Use the same source set, schema, refresh window and recovery test. Count accepted records and operating effort, not just successful HTTP calls.

Your discussion checklist.

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