Skip to content
Agentmart
Submit a tool

protected-fetch

Use Zenrows Protected Fetch in auto mode for anti-bot-protected page retrieval.

Skill by ZenRows

IndexedMIT★ 16
Write a review

Chalk Labs

Need help deploying protected-fetch?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/zenrows-protected-fetch-94c2b2

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Use Zenrows Protected Fetch in auto mode for anti-bot-protected page retrieval. Auto mode handles the anti-bot escalation, so never enable JS rendering or premium proxies yourself on a first attempt.

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/protected-fetch

What's inside

Skill name
protected-fetch
Description
Use Zenrows Protected Fetch in auto mode for anti-bot-protected page retrieval. Auto mode handles the anti-bot escalation, so never enable JS rendering or premium proxies yourself on a first attempt.
License
MIT
Instructions
47 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Protected Fetch

Retrieve pages that normal fetch, generic scrapers, or naive browser tools
cannot. This is the **core primitive** — backed by Zenrows **Fetch**
(`GET https://api.zenrows.com/v1/`).

## When to use
- You have a known URL and want its content (HTML, Markdown, text, or a PDF).
- The target has anti-bot protection, needs JS rendering, or geo-specific access.

## How to call

Auto mode is the answer for anti-bot targets, Cloudflare included. It escalates
for you and bills only for the configuration that succeeds.

```
zenrows fetch <url>                       # Adaptive Stealth Mode. Start here, always
zenrows fetch <url> --output markdown     # convert to Markdown
zenrows fetch <url> --proxy-country us    # geo-target, works in auto mode
zenrows fetch <url> --wait-for ".price"   # wait for a selector
```

Manual mode exists for the rare case where auto mode has already failed and a
trace shows why. It costs more and it makes the escalation your problem:

```
zenrows fetch <url> --manual --js-render --premium-proxy   # the most expensive path, see [[cost-control]]
```

## Rules
- Start with **auto mode**. Enabling `--js-render` and `--premium-proxy` yourself
  is the most expensive configuration this API offers, by a wide margin, and auto
  mode reaches the same place only when the target actually needs it. The
  multipliers are in [[cost-control]].
- A hard target is not a reason to skip auto mode. It is the reason auto mode
  exists.
- In auto mode `js_render` and `premium_proxy` are managed for you. Passing them
  manually requires `--manual`, otherwise you get `PARAM_CONFLICT_AUTO_MANUAL`.
- `--proxy-country` works in auto mode on its own; in `--manual` mode it also
  needs `--premium-proxy` (else `PARAM_PROXY_COUNTRY_REQUIRES_PREMIUM`).
- You are billed only for the configuration that succeeds.
- On failure, read `zenrows trace explain <run-id>` before escalating.

Every run is saved under `.zenrows/runs/<run-id>/` (no secrets). See [[extract]]
for structured output and [[cost-control]] for the cost model.

From ZenRows/cli, MIT.

More from ZenRows/cli

Signals

Stars
16
Forks
2
Open issues
0
Last commit (this folder)
Sep 9, 2026 (1 month ago)
Last release
Oct 23, 2026 (8 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from ZenRows

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get protected-fetch running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying protected-fetch?

CallGet help
Cite this page

protected-fetch skill. Agent Mart. https://agentmart.dev/skills/zenrows-protected-fetch-94c2b2 (last updated 2026-10-24)