Comparison
Twin Browser vs Zyte
Zyte is a read path and a very good one — its pay-only-for-successful-responses billing is the most buyer-friendly model in scraping. Twin is a write path: sign in to the accounts you authorize, move through the steps, park for a human when a wall demands one, and replay the compiled skill next time.
Side by side
The spec table
Zyte: Zyte API — a web-data extraction API with automatic ban handling, plus Scrapy Cloud, from the team behind Scrapy. Billed by per successful response (auto-tiered). Runs no LLM of its own.
| Capability | Twin Browser | Zyte |
|---|---|---|
| Primary job | Authenticated, multi-step task execution | Fetching and extracting pages at scale |
| Billing unit | Usage credits — flat action price, or metered run cost, whichever is higher | Per successful response, auto-tiered by target and request type |
| Charges for failures | Failed runs refund the reservation | No — the docs state only successful responses are charged |
| Login / session / multi-step action | Yes | Not a stateful authenticated task layer |
| Semantic cache + deterministic replay | Yes | No — each call is a fresh request |
| Credential vault | Yes — per-tenant encrypted vault | No |
| Human-in-the-loop handoff | Yes | No |
| Ban handling at crawl scale | Proxy tiers + evasion policy, task-shaped | Core competence — automatic, tiered, priced in |
A check marks a genuine strength on either side — including Zyte’s; a dash marks only where a tool actually trails. The wedge is the bottom row: Twin’s marginal cost per run falls as usage grows.
Why teams pick Twin
Delegate the whole web — you set the guardrails.
Zyte is a capable tool. Twin’s edge: you hand your agent any site and keep control of what it may touch — and, as it repeats work, three mechanisms make the marginal cost of the next run fall instead of rise.
Cost trends toward zero
Most browser infrastructure re-runs the LLM on every execution, so spend climbs with usage. Twin compiles a task once; repeats hit the cache and replay at ~$0 model cost.
Deterministic replay
A compiled skill blind-replays with no model in the loop — production-ready, not a debug recorder. The most-repeated workflows stop paying per run.
Cross-tenant skill corpus
Sanitized skill skeletons are pooled across the network, so your cache-hit rate climbs as everyone automates the same hosts.
In practice
One API call. Then the cache does the work.
Goal in, deterministic action out. The first run compiles a skill; the next re-phrased request matches it semantically and replays with no model in the loop.
# 1. Run a goal — Twin compiles the successful path into a skill
curl https://api.twin-browser.com/api/v1/run \
-H "Authorization: Bearer $TWIN_KEY" \
-d '{ "goal": "Export this month’s invoices as CSV",
"url": "https://app.acme.com/billing" }'
# 2. A re-worded request vector-matches the same skill —
# no model call, 2 credits instead of 10
curl https://api.twin-browser.com/api/v1/run \
-H "Authorization: Bearer $TWIN_KEY" \
-d '{ "goal": "Download the latest invoices",
"url": "https://app.acme.com/billing" }'- Vector-match request to compiled skilldone
- Adapt skill to new valuesdone
- Replay actions — zero LLM callsrunning
- Return invoices.csvqueued
A solved goal costs 10 credits. Once it is a compiled skill, a deterministic replay costs 1 and a semantic-cache hit on a re-worded request costs 2. A call is billed the higher of its flat action price or its metered cost — see the rate card.
Choose with eyes open
When to pick which
No tool wins every job. Here’s the honest split.
Pick Twin Browser when
- The agent has to authenticate and take actions, not just read.
- You want the second run of a task to be a replay rather than another request.
- A verification wall should pause for a human instead of failing the job.
Pick Zyte when
- The job is large-scale extraction and ban handling is the hard part.
- Paying only for successful responses fits your budget model better than credits.
- You are already on Scrapy and want the platform built around it.
Go deeper
Read the mechanics
The reason Twin’s cost curve inverts is the cache and the corpus. Here’s where each capability is explained — and where teams put it to work.
FAQ
Twin Browser vs Zyte
Is Twin Browser a Zyte alternative?
Hand over the work. Keep the guardrails.
Delegate the busywork, set the limits, and let repeated workflows compile into skills that replay at near-zero model cost. Free to start.