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Guvenlik Denetimi
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Bu listing icin henuz AI raporu yok.

SUMMARY

Zero-config CLI that gives AI agents reliable access to protected web data through Zenrows — Fetch, Extract, Batch, and Browser Sessions, plus MCP setup and agent skills. No API key needed to start.

README.md

Zenrows CLI

Zenrows CLI is the open-source command-line, MCP, skills, templates,
workflows, recipes, and evals layer for giving AI agents reliable access to
protected web data through Zenrows cloud infrastructure.

It makes the four Zenrows primitives — Fetch, Extract, Batch, and Browser
Sessions — installable and usable directly from AI agents and developer workflows —
so an agent can reliably access protected web data without hand-rolling anti-bot
handling, proxies, or browser rendering.


1. What this is

A single, dependency-light CLI (zenrows) plus an installable asset registry
(skills, templates, workflows, recipes, evals) and MCP configuration for popular
agent clients. It makes Zenrows installable, usable, testable, and distributable
through AI agents, developers, and teams.

2. Why Zenrows

Normal fetch fails. Generic scrapers fail. Browser-first tools are expensive.
Zenrows Fetch retrieves protected pages reliably and Extract structures
them, while Browser Sessions are there for the rare cases that
need a real browser. Zenrows wins when the workflow runs over thousands or
millions of URLs.

3. Product architecture

The core product is Zenrows Fetch and Extract
(GET https://api.zenrows.com/v1/). The CLI exposes it two ways: zenrows fetch
retrieves a protected page, and zenrows extract turns it into structured data
(JSON / CSS / Markdown). Both call the same endpoint — extract is just
that endpoint with extraction parameters, not a separate product.

Command What it does Status (this build)
zenrows fetch Fetch — retrieve a protected page availableGET https://api.zenrows.com/v1/
zenrows extract Extract — extract=auto (domain-gated open beta; falls back to Autoparse) / CSS / Markdown beta — same /v1/
zenrows batch Batch — fan out over many URLs beta — cloud works with beta access; local validate/estimate always
zenrows browser Browser Sessions REST API (same backend as MCP browser_*) available — escalation-only; bills by bandwidth + time
zenrows mcp MCP server config (remote + local) available
Zenrows CLI this repo available

The CLI maintains a capability matrix (registry/capabilities.json). Every
command checks status before any cloud call, so the toolkit never fakes behavior
for primitives the backend does not expose. Run zenrows status for the live
matrix.

4. Quickstart

npx -y @zenrows/cli init
zenrows fetch https://httpbin.io/html # auto-provisions a Free plan account on first use
zenrows extract https://www.owler.com/company/meltwater # extract=auto on an enabled domain
zenrows extract https://www.scrapingcourse.com/ecommerce/ --autoparse # Autoparse (any domain)

No API key up front: on your first cloud call the toolkit creates a free,
unclaimed Zenrows Free plan account for you (see §6).

5. Install everything

zenrows init --all # workspace + config + policy + assets + MCP snippets + health check
zenrows init --agents claude-code,codex,cursor,gemini,opencode,windsurf,vscode

If a requested target cannot be auto-configured, the toolkit prints explicit
manual instructions rather than silently skipping it.

6. Zero-config access, signup & claim

You do not need an API key to get started. On your first cloud call
(e.g. zenrows fetch <url>), the toolkit automatically creates a free,
unclaimed Zenrows Free plan account
, stores the key in .zenrows/secrets.json
(0600, gitignored), and records the account in .zenrows/account.json
(no secret — just the accountId, Free-period info, and a claim link).

When you (or your agent) want to keep the usage and history, claim the
account — this sets an email + password; the same key keeps working:

zenrows account status # show account + Free period + claim link
zenrows account claim  # open the claim URL in the browser
zenrows usage          # plan usage, credits & concurrency (does not count against your limit)

Opt out of auto-provisioning at any time:

zenrows fetch <url> --no-signup # do not auto-create an account for this call
zenrows signup --agent          # explicitly provision a Free plan account, headless
zenrows login --api-key <key>   # use an existing key (stored 0600, gitignored)
zenrows login --env             # use the ZENROWS_API_KEY environment variable

Set auto_signup: false in .zenrows/policy.json to disable auto-provisioning
globally.

7. Protected Fetch

zenrows fetch <url> # Adaptive Stealth Mode (mode=auto)
zenrows fetch <url> --output markdown
zenrows fetch <url> --manual --js-render --premium-proxy
zenrows fetch <url> --proxy-country us --wait-for ".price"

8. Extract

zenrows extract https://www.owler.com/company/meltwater                # extract=auto (enabled domain)
zenrows extract https://www.scrapingcourse.com/ecommerce/ --autoparse   # Autoparse (any domain)
zenrows extract <url> --css '{"title":"h1","price":".price"}' --validate
zenrows extract <url> --outputs emails,links                            # built-in output filters → JSON
zenrows extract <url> --output markdown

9. Batch (beta)

Zenrows Batch (https://async.api.zenrows.com/v1) fans a
protected fetch/extract out over many URLs. It is a real product in
beta: the cloud subcommands work once your API key has
beta access; without it the API returns BATCH_ACCESS_DENIED. Local spec
validation + credit estimation always work (no key needed).

zenrows batch estimate jobs.jsonl                    # validate the spec + estimate credits (local)
zenrows batch create jobs.jsonl --wait               # submit a job and wait for it to finish
zenrows batch status <job-id>                        # run status + progress stats
zenrows batch results <job-id> --out results.jsonl   # collect results (paginated)
zenrows batch cancel <job-id>                        # stop an in-flight run

jobs.jsonl is one JSON object per line, each with a url (plus optional
per-line overrides like js_render, premium_proxy, proxy_country). Request
beta access from Zenrows to run in the cloud; until then, validate/estimate
locally or fan out with zenrows fetch per URL.

10. Browser Sessions

Escalation only — prefer fetch/extract for the vast majority of cases;
they cost less. Use the browser for logins, forms, and multi-step JS flows that
Protected Fetch can't handle. Drives the managed Browser Sessions REST API
(mcp.zenrows.com/browser/sessions/*, same backend as the @zenrows/mcp
browser_* tools). zenrows browser connect prints the raw CDP wss URL for
bring-your-own Playwright/Puppeteer.

Billing & lifecycle: sessions bill by bandwidth + session time and
auto-terminate after 15 minutesrun <script.json> closes automatically;
close interactive sessions with zenrows browser close. On by default; opt out
with zenrows policy set allow_browser false.

11. MCP

zenrows mcp status
zenrows mcp config --client claude-code      # exact `claude mcp add` command
zenrows mcp config --client cursor           # mcpServers JSON
zenrows mcp config --client vscode           # servers JSON
zenrows mcp config --client generic --remote # hosted server at https://mcp.zenrows.com/mcp

Local server: npx -y @zenrows/mcp (env ZENROWS_API_KEY). Remote server:
https://mcp.zenrows.com/mcp.

12. Plugins

zenrows plugin list
zenrows plugin install claude-code # installs core skills + prints MCP config

13. Skills

Agent-readable playbooks that teach agents how to choose primitives.

zenrows skill list
zenrows skill install --all
zenrows skill validate zenrows

The master skill skills/zenrows/SKILL.md teaches the full decision tree.

14. Templates

zenrows template list
zenrows template create protected-fetch-node --output ./my-project

15. Workflows

zenrows workflow list
zenrows workflow explain competitor-intelligence

16. Recipes

zenrows recipe list
zenrows recipe run fetch-protected-page

17. Evals

Reproducible, transparent benchmarks. No competitor keys are bundled and
nothing is hardcoded to make Zenrows win — comparison evals require you to supply
your own credentials.

zenrows eval list
zenrows eval run protected-fetch-smoke
zenrows eval report protected-fetch-smoke

Reports write input.json, results.json, report.md, failures.jsonl,
cost.json, and traces/ under .zenrows/evals/<run-id>/.

18. Security

  • API keys are never printed or written into run artifacts/assets.
  • Secrets live in .zenrows/secrets.json (0600, gitignored); logs are redacted.
  • .zenrows/account.json holds no secret — only the accountId, Free-period info, and
    claim link.
  • .zenrows/policy.json enforces credit/page/concurrency limits and domain allow/deny.
  • Destructive uninstall requires --yes. Browser is on by default; opt out with
    zenrows policy set allow_browser false. Experimental features are off by default.

19. Capability matrix

See registry/capabilities.json. zenrows status --json emits it.

20. Contributing

The CLI is TypeScript with zero runtime dependencies (native fetch,
node:util parseArgs, node:test). Node 20+ runs the published build;
Node 23.6+ runs the TypeScript sources directly for development.


Zenrows is building the protected web data infrastructure layer. The Zenrows
CLI is how that infrastructure becomes native to AI agents.

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