Fetch
Retrieve any page. Dynamic, protected, or static. Returned as clean Markdown or JSON.
Explore FetchReliable web data when the web fights back.
Web data infrastructure for AI agents, data, and automation teams. Fetch, extract, batch, or drive a browser, all through one platform.
5,000 free credits/month, always. No card.
Paste it into your agent to finish setup
Trusted by teams at +2,000 companies
Microsoft
Dell
IBM
Slack
Clay
EY
eBay
Nokia
Web data tools built for production.
Browser Sessions
Drive a real browser for interactive flows, logins, and sessions.
Explore Browser SessionsStart in minutes.
Integrate via MCP, CLI, SDK, or direct API. Choose what fits your stack.
# Install
npx -y @zenrows/cli init
# Fetch any URL as clean Markdown
zenrows fetch https://example.com --output markdown
# Extract structured fields
zenrows extract https://shop.example.com --css '{"title":"h1","price":".price"}'
# Run a batch job
zenrows batch create jobs.jsonl --waitWorks in your existing terminal. Handles dynamic and protected pages automatically. Read the CLI docs →
# Add to Claude Code (one command)
claude mcp add zenrows \
-e ZENROWS_API_KEY=YOUR_ZENROWS_API_KEY \
-- npx -y @zenrows/mcp
# Similar JSON config for Cursor, VS Code, Windsurf, Zed, JetBrains
{
"mcpServers": {
"zenrows": {
"command": "npx",
"args": ["-y", "@zenrows/mcp"],
"env": { "ZENROWS_API_KEY": "YOUR_ZENROWS_API_KEY" }
}
}
}
# Then just ask naturally:
"Fetch the pricing page from competitor.com as Markdown"Drops into Claude Code, Cursor, VS Code, Windsurf, Zed, and JetBrains in one command. MCP setup guide →
Install
pip install zenrowsTell your AI editor
pip install zenrows and read the docs at https://docs.zenrows.com/fetch/sdk/overview to learn the zenrows Python SDK.Install
npm install zenrowsTell your AI editor
npm install zenrows and read the docs at https://docs.zenrows.com/fetch/sdk/overview to learn the zenrows Node.js SDK.Install
go get github.com/zenrows/zenrows-go-sdk/service/apiTell your AI editor
go get github.com/zenrows/zenrows-go-sdk/service/api and read the docs at https://docs.zenrows.com/fetch/sdk/go/introduction to learn the zenrows Go SDK.Fetch any page
# Fetch any page as Markdown
curl "https://api.zenrows.com/v1/?url=https://example.com&apikey=YOUR_ZENROWS_API_KEY&response_type=markdown"Tell your AI editor
Use the Zenrows REST API to fetch any web page. Read the docs at https://docs.zenrows.com/first-steps/welcome to get started.Connect your agent to the live web.
Your agent asks in plain language. Zenrows fetches the page, protected or dynamic, and hands back clean data. No scraping stack to babysit.
Explore the Agent Toolkit
When the web fights back, Zenrows keeps going.
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Cloudflare blocked your request.
403 Forbidden 200 OK
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The page renders only after JavaScript.
<div/> empty DOM rendered
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Your scraper broke when the site changed.
selector: null auto-adapted
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50,000 URLs, and they are due tomorrow.
queued: 50,000 done in 12 min
Built for every workflow that touches the web.
From agent research loops to large-scale pipelines.
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Live web access for agents
- MCP, API, or SDK
- Protected pages included
- Structured output formats
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Track prices across any site
- Scheduled monitoring
- Protected e-commerce sites
- Batch URL processing
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Watch the market in real time
- Competitor page monitoring
- Change detection
- Clean structured output
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Fill every gap in a record
- Company pages + LinkedIn
- Hiring signals
- Tech stack detection
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Product data at any scale
- Schema-driven extraction
- Async batch processing
- JSON + Markdown output
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Industry signals, reliably sourced
- High-volume batch jobs
- Protected source access
- Production-ready pipelines
Your stack, already connected.
Where teams put it to work.
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AI Agents · Fetch
We needed reliable live web data for our agent's research loop, on protected sources every other tool failed on. Zenrows Fetch made it production-ready in two days.
Senior AI EngineerAI-native research startup -
Batch + Extract · Market intelligence
Our data pipeline was maintained by three engineers. We moved to Zenrows Batch and Extract, and two of them shifted back to product work. That's the real ROI.
Head of Data EngineeringMarket intelligence company -
Fetch · E-commerce
We evaluated Firecrawl, an internal Playwright build, and Zenrows. Zenrows was the only one that held up at our volume with protected sources. No contest.
CTOSeries B e-commerce intelligence platform -
Agent Toolkit · AI & ML
Our agents needed fresh web context for every query. Zenrows handles the access and structure. We handle the reasoning. That's exactly how it should be.
Founding EngineerAI application team -
Fetch + Batch · Data pipelines
Before Zenrows, we had a rotating team of contractors maintaining scrapers. We killed that entire function. Now we just use Fetch and Batch.
VP of EngineeringEnterprise data company
Questions, before you ask them.
Still unsure about something?
Talk to us-
Zenrows gives you reliable access to publicly available web data. You're responsible for complying with each site's terms of service and the laws that apply to you. We provide the infrastructure, not legal advice.
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Yes. It's recurring, not a time-limited trial: 5,000 credits every month, no credit card required. Upgrade at any time when you need more.
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Add the MCP server to your agent in one line, or call the API directly. There are SDKs for the major languages, so most teams are running in minutes.
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You don't maintain scrapers. Zenrows manages the access handling and browser rendering, and keeps access working as sites change.
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Yes. Fetch retrieves protected, JavaScript-heavy pages and returns them clean and structured. That's the core of what Zenrows does.
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The MCP server drops into Claude Code, Cursor, VS Code, and other MCP clients. You can also use the API, CLI, and SDKs directly.