webclaw vs Zyte

Zyte (formerly Scrapinghub) is an enterprise scraping platform behind Scrapy. Here's how it compares to webclaw on pricing, complexity, and LLM output.

Looking for a Zyte alternative?

Looking for a Zyte alternative without the enterprise sales process? Or a Scrapinghub alternative that does not require a dedicated data engineering team? Zyte sits on top of Scrapy and quotes per project. webclaw is self-serve, $19/month entry, with built-in MCP for AI agents that Scrapy does not ship and a single API instead of three stitched products.

webclaw

Rust / AGPL-3.0

Zyte

Python / Scrapy (enterprise platform) / Open source

webclaw pricing

1 credit = 1 page. No multipliers.

Zyte pricing

Pay per successful request.

Feature comparison

FeaturewebclawZyte
Scrape (HTML to markdown)Returns HTML + structured data
Crawl (BFS with depth control)
Batch (parallel multi-URL)
Search (web search + scrape)Google search extraction
Extract (LLM structured data)Zyte Automatic Extraction
Screenshot (full page)
Browser actions (click, type, scroll)
Anti-bot bypass (TLS level)Smart Proxy Manager (separate)
JS renderingYes (Zyte API)
PDF extraction
MCP server
CLI toolScrapy CLI
Self-hostableScrapy yes, platform no
Open source (AGPL-3.0)Scrapy is BSD-3
Credit multipliersNone. 1 credit = 1 page.Different per action type

Pricing comparison

PlanwebclawZyte
Trial7-day Starter trialScrapy is free; Zyte API trial
Starter$19/mo, 10,000 creditsZyte API pay-as-you-go (~$0.50-2/1k requests)
Mid$99/mo, 250,000 creditsCustom enterprise pricing
High$399/mo, 1,000,000 creditsCustom enterprise pricing

webclaw credit model: 1 credit = 1 page, always. No extra charges for JSON extraction, proxies, or JS rendering.
Zyte credit model: Pay per successful request. Different actions (scrape, extract, screenshot) have different costs. Smart Proxy Manager billed separately. Enterprise tiers require sales contact.

Zyte strengths

  • Scrapy is the most mature Python scraping framework
  • Enterprise-grade with 15+ years of experience
  • Automatic Extraction ML models for specific verticals
  • Strong proxy infrastructure (Smart Proxy Manager)
  • Large Fortune 500 customer base

Zyte limitations

  • Enterprise focus: complex pricing, sales-led
  • Steep learning curve for Scrapy
  • Not designed for LLM/AI agent workflows
  • No MCP server or modern AI integrations
  • Multiple products to stitch together (Zyte API, Proxy, Automatic Extraction)
  • Python only for the open source part

Which one should you use?

Use webclaw when

You're building AI agents or LLM apps, want simple predictable pricing, need MCP integration, or prefer Rust performance over Python + Scrapy complexity.

Use Zyte when

You have a dedicated data engineering team, need enterprise SLAs, have complex long-running scraping pipelines, or already use Scrapy at scale.

Ready to compare?

Start extracting.

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