ALTERNATIVES

Zyte Alternatives: 6 Tools Compared

Short version: Zyte (formerly Scrapinghub) built Scrapy and is genuinely excellent at the hard half of scraping — getting an unblocked page back from a defended site. It is less good at the half most teams actually need: turning that page into rows, on a schedule, without a Python developer. Add 5 request tiers spanning $0.06 to $16.08 per 1,000 and the invoice becomes something you model rather than something you know. Below: what each realistic Zyte alternative bills you for, how much building is left afterwards, and the cases where Zyte is still the right answer.

Zyte Alternatives: 6 Tools Compared

Six Zyte Alternatives, Side by Side

ToolPricing modelWhat you still buildBest for
ScrapeWise€0.15 per 1,000 pages deliveredNothing — you pick fields, rows arriveTeams who want the data, not the pipeline
ZytePer request, 5 tiers ($0.06–$16.08 / 1,000)Scrapy spiders, parsing, scheduling, storagePython teams already running Scrapy at scale
ApifyCompute units plus actor rentalThe actor, if the marketplace lacks your targetDevelopers who like a marketplace of components
Bright DataPlan floor from $499/mo plus usageParsing and pipeline, unless you buy a datasetEnterprises buying proxy scale and datasets
ZenRowsMonthly request quotaThe parser and everything downstreamDevelopers who only need the unblocked HTML
OxylabsPlan-based, proxy-ledParsing and pipelineTeams whose real problem is proxy quality
OctoparseSeat plus task tier per monthMaintenance — every layout change is your taskNon-developers doing modest, stable scrapes

Which One Is Actually Right for You

  • Stay on Zyte if

    You already run Scrapy spiders in production and that developer cost is sunk. Scrapy Cloud is a sensible place to host them, Smart Proxy Manager is a real asset on defended targets, and the managed Data Services tier with SLAs has no cheap equivalent. Migrating working spiders to save on request tiers is rarely worth the engineering week.

  • Choose ZenRows or Oxylabs if

    Your only unsolved problem is getting the page back. Both are narrower than Zyte and easier to reason about on price. Neither parses for you — you are choosing a simpler connection layer, not a smaller amount of work. If you already have the parser, that is exactly the right trade.

  • Choose Bright Data if

    You need scale and breadth more than you need a per-request rate, or the dataset you want already exists in their catalogue. Expect a plan floor around $499/mo before usage. It is the right answer for large programmes and the wrong one for a single price feed.

  • Choose Apify if

    A well-maintained actor already exists for your exact target. Then you are renting working code rather than writing it, which is a genuinely good deal. The moment the marketplace does not have your site, you are back to building — and now in someone else's SDK, billed in compute units.

  • Choose ScrapeWise if

    The output you want is rows, not requests. You pick the fields in a visual builder, set a schedule, and the data arrives by REST API or CSV at €0.15 per 1,000 delivered pages — plain rate, with render at €0.75 and residential at €1.50. There is no Scrapy, no request-tier modelling, and failed pages cost nothing because you pay for what comes back.

  • Do not choose ScrapeWise if

    You need a managed data service with a contractual SLA and a named account team, or you want low-level per-request control over which proxy and which browser handled each fetch. Zyte sells both. ScrapeWise deliberately hides that layer — that is the point, and it is the wrong point if you want to tune it.

FEATURE COMPARISON

Zyte vs ScrapeWise

Feature
Zyte
Scrapewise
Pricing model
Per-request, 5 tiers
Pay-as-you-go, per page delivered
Request cost spread
$0.06 to $16.08 per 1,000 requests (268x)
€0.15 to €3.75 per 1,000 pages (25x)
Spending limits
Advertised but unreliable (reported bills 40x expected)
You can only spend the balance you top up
Free tier
$5 credit on signup
5 free requests on every new account
Coding required
Scrapy / Python for custom work
Visual builder, no code
Time to first row
Days (Scrapy setup + deploy)
Minutes (point, extract)
AI extraction
check (separate product billed extra)
check (included for everyone)
Visual scraper builder
Partial (Copilot AI)
check (full visual builder)
Built-in analytics
✕
check (AG Grid in-platform)
Anti-bot handling
check (Smart Browser, configurable)
check (handled by platform)
JavaScript rendering
check (Browser API, billed separately)
check (included)
Proxy network
check (Smart Proxy Manager)
check (managed automatically)
Product unification
Separate products (API, Scrapy Cloud, Data Services)
One platform
Managed data services
check (from $450/mo with SLAs)
✕
Support response time
24–48 hours typical, weekend gaps
Direct human support for every customer
Data enrichment
✕
✓
Ready-made API endpoints
Build the spider yourself
36 endpoints for common sources
Scheduled scraping
check (build with Scrapy Cloud)
check (built-in scheduler)
Best fit
Enterprise data teams with Python developers and SLAs
Pricing / e-commerce / ops teams without developers
WHY SWITCH

Why Teams Leave Zyte

01

Bills That Spiral Out of Control

Zyte's per-request pricing spans 5 tiers from $0.06 to $16.08 per 1,000 requests — a 268x spread that depends on which features each request uses (browser rendering, residential proxies, AI extraction). The same scraping job can land in different tiers run-to-run. Users report bills 40x higher than expected when retries, browser rendering, or premium proxies cascade. Spending caps exist but are well-documented as unreliable. Finance teams can't budget Zyte against a yearly plan because last month's invoice doesn't predict next month's.

02

Requires Python Developers

Zyte built and maintains Scrapy — the dominant Python scraping framework. That's a strength if you have a Scrapy developer; it's a barrier if you don't. Custom extraction means writing spiders, managing pipelines, debugging selectors, and deploying to Scrapy Cloud. Business teams can't build or modify scrapers without engineering support. The AI Copilot helps with selector generation, but the underlying workflow still assumes a developer in the loop.

03

Slow Support for Urgent Issues

Support tickets typically see 24–48 hour response windows, with weekend gaps. When a scraper breaks on a Friday afternoon — common when target sites push layout changes — the team waits until Monday for triage. For competitor monitoring or repricing workflows that depend on daily data, that's a real outage. ScrapeWise provides direct support to every customer, with response times measured in hours not days.

Same Extraction Power, Zero Scrapy

Zyte has earned its enterprise reputation. The Scrapy framework, Smart Proxy Manager, and managed Data Services are best-in-class for teams that already operate scraping as a developer-led discipline with budgets sized accordingly. The mismatch happens when a pricing manager, brand-protection lead, or e-commerce ops team inherits Zyte and tries to use it without a Scrapy developer — that's where the per-request billing model and Python requirements become friction. ScrapeWise removes both: visual builder instead of code, one published price per page instead of five request tiers, one platform instead of three separate products. Same data outputs, none of the developer dependencies.

✕ With Zyte
  • ✕ Need Scrapy / Python expertise for custom scrapers
  • ✕ Per-request pricing across 5 confusing tiers
  • ✕ Spending limits advertised but reportedly unreliable
  • ✕ Support response: 24–48 hours typical, weekend gaps
  • ✕ Separate products: API, Scrapy Cloud, Data Services, AI
VS
✓ With ScrapeWise
  • ✓ Visual builder, no coding required
  • ✓ Pay-as-you-go pricing, published per page
  • ✓ You can only spend the balance you top up
  • ✓ Direct human support for every customer
  • ✓ One platform for extraction, scheduling, and analytics
Start Free →

What 1.5 Million Pages a Month Costs

1.5M pages / monthZyteScrapeWise
What you are billed forRequests, tiered by features usedPages actually delivered
Published rate$0.06–$16.08 per 1,000 — a 268x spread€0.15 per 1,000 plain, one rate
1.5M plain pagesDepends which tier each request landed in€225
Pages needing JavaScriptBrowser API, billed separately€0.75 per 1,000 — published
Pages needing residential IPsTop tier — where the 40x invoices come from€1.50 per 1,000 — published
A run that fails halfwayRequests made are requests billedUndelivered pages cost nothing
Predicting next month's invoiceModel the expected request mixPages × rate. That is the whole model
Unused balance at month endN/A — usage-billed after the factCarries over. It never expires
PRICING

Pricing Comparison

Zyte

  • - Per-request billing across 5 pricing tiers
  • - $0.06 to $16.08 per 1,000 requests — 268x cost spread
  • - Browser rendering and AI extraction billed separately
  • - Managed data services: from $450/mo with SLAs
  • - Spending limits reported as unreliable in user reviews
  • - $5 free credit on signup, no permanent free tier
  • - Annual budgeting requires modelling expected request mix
VS

Scrapewise

  • ✓ Pay-as-you-go: no monthly plan, no quota
  • ✓ Plain pages: €0.15 per 1,000 (€0.00015 per page)
  • ✓ Render: €0.75 per 1,000 · Super (residential proxy): €1.50 per 1,000
  • ✓ You only pay for pages that are delivered
  • ✓ Six published prices, not five opaque request tiers
  • ✓ 5 free requests on every new account
  • ✓ No project, task or seat limits — your balance is the only limit
See Full Pricing

Moving Off Zyte

  1. List what each spider actually returns

    Open the item definitions, not the parsing code. The set of fields you ship downstream is usually much smaller than the spider suggests — often price, stock, title, URL and a timestamp. That list is what you rebuild; the selector logic is not.

  2. Pull a month of Zyte invoices apart

    Split requests by tier. The plain-tier share is what moves to €0.15 per 1,000, the rendered share to €0.75, the residential share to €1.50. This is also where most teams discover how much they were paying for retries.

  3. Rebuild the highest-volume target first

    Pick the spider that costs the most, point the visual builder at one of its pages, and select the fields from step one. Run it against the 5 free requests. If it works on your worst site, the rest are easier.

  4. Reconcile against a Scrapy Cloud export

    Run both for a week and diff the feeds row by row. Where they disagree, one of them is reading a variant, a promo price, or a stale cache. Resolve every difference before you cut over — this is the step teams skip and regret.

  5. Move the schedule off Scrapy Cloud

    Set the cadence in ScrapeWise and point your warehouse at the REST API or the CSV export. At this point the Scrapy Cloud jobs are duplicate work, not insurance.

  6. Retire the spiders and the deploy pipeline

    Delete the jobs, then the CI that deployed them. The maintenance burden you are actually removing is not the code — it is the person who gets paged when a layout changes.

Web Scraping Without Surprise Bills

ScrapeWise gives you Zyte-level extraction without Python, without opaque request tiers, and without bills that spiral past your budget. Same data, one platform, one published price per page.

Web Scraping Without Surprise Bills
FAQ

Frequently Asked Questions

Common questions when comparing Zyte and ScrapeWise.

It depends on which half of Zyte you are replacing. If you only need the unblocked page, ZenRows and Oxylabs are simpler and easier to price. If you need scale and breadth, Bright Data. If a marketplace actor already exists for your target, Apify. If what you actually want is rows rather than requests — no Scrapy, no request-tier modelling — ScrapeWise, at €0.15 per 1,000 delivered pages with 36 ready-made endpoints for common sources.

Don't take the table's word for it

Every ScrapeWise data API page ships a real sample table you can read on the page and download as CSV — no account, no card, no email.

Switching from Zyte and want it walked through? Book a 15-min call →