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Zenrows is a platform built around a small set of primitives, Fetch, Extract, Batch, and Browser Sessions, available however you already build. Integrations connect those primitives to the tools, editors, agents, and platforms you already use, so you don’t have to change how you work to get reliable access to the live web.

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AI Assistants

Chat-based AI assistants that can scrape and extract data on your behalf when connected to Zenrows.

Claude Desktop

Connect Claude Desktop to Zenrows via MCP for real-time web access in your conversations.

Claude Code

Give Claude Code the ability to scrape and extract data while it works in your codebase.

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AI Code Editors

AI-native editors and IDEs that can call Zenrows directly while you write code.

Cursor

Scrape and extract data from inside Cursor’s AI coding assistant.

Windsurf

Connect Windsurf’s AI agent to real-time web data.

VS Code

Add Zenrows to VS Code’s AI features via MCP.

Zed

Connect Zed’s AI assistant to Zenrows.

JetBrains IDEs

Add Zenrows to JetBrains’ AI assistant across IntelliJ, PyCharm, WebStorm, and more.

OpenCode

Connect OpenCode’s AI agent to real-time web data.

Google Antigravity 2.0

Add Zenrows to Google’s agentic development platform.

Google Antigravity IDE

Connect Zenrows to the Antigravity IDE.

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Agent SDKs & Frameworks

Official vendor SDKs and third-party frameworks for building autonomous, multi-step agents.

Claude Agent SDK

Build autonomous agents that scrape and automate any site with Anthropic’s official SDK.

OpenAI Agents SDK

Build multi-step agents with OpenAI’s official Agents SDK.

Google ADK

Build multi-agent workflows with Google’s Agent Development Kit.

LangChain

Orchestrate intelligent, multi-step data extraction workflows using language models.

LlamaIndex

Build scalable Retrieval-Augmented Generation (RAG) applications by indexing web data.

Flowise

Design AI-powered workflows and data pipelines with a visual, low-code builder.

Mastra

Give agents built with the Mastra TypeScript framework reliable access to any website.

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AI Tools

Direct integrations with foundation model APIs and AI-powered platforms.

OpenAI

Give GPT models real-time access to any website using Fetch and MCP.

Anthropic Claude API

Ground Claude’s answers in live, protected, or JavaScript-heavy web data.

Clay

Enrich leads and automate outbound workflows using AI.

Lindy

Deploy AI agents for complex scraping and data extraction, no code required.

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Agent Platforms

Hosted, autonomous agent products that run the agent loop and infrastructure for you.

Claude Managed Agents

Let Anthropic manage the agent loop and sandbox while Zenrows handles the scraping layer.

Hermes

Give Hermes Agent reliable, scheduled access to any website.

OpenClaw

Connect OpenClaw’s autonomous agent to Zenrows MCP for real-time web access.

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No-Code & Automation

Visual workflow builders for automating scraping without writing code.

Zapier

Automate workflows between Zenrows and 5,000+ SaaS apps.

Make

Visual workflow builder for custom automations.

n8n

Open-source workflow automation for self-hosted integrations.

Pipedream

Event-driven automation platform for APIs and data pipelines.

MuleSoft

Enterprise integration platform for connecting apps, data, and APIs.

Node-RED

Visual flow-based programming for IoT and web automation workflows.
Integration not on the list? Chances are you can still integrate Zenrows. Contact us for assistance.

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Browser & Scraping Frameworks

Code libraries for developers building custom, code-driven scraping workflows.

Playwright

Modern browser automation for dynamic website scraping.

Puppeteer

Headless Chrome automation for advanced scraping and testing.

Scrapy

Python framework for scalable, modular scraping projects.

Selenium

Browser-based automation and testing across languages.

Undici

High-performance HTTP/1.1 client built for Node.js

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Why Integrate Zenrows?

Connecting Zenrows with your existing stack unlocks its full potential. Integrations help you:
  • Automate end-to-end workflows by triggering scraping jobs, transforming results, and sending data wherever you need it.
  • Boost productivity by reducing manual work and connecting Zenrows to your favorite automation and workflow tools.
  • Scale operations by orchestrating hundreds or thousands of scraping tasks in parallel, all managed through platforms you already know.
  • Improve reliability by combining Zenrows’ anti-bot capabilities with third-party automation and AI tools.

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How Integrations Work

Zenrows integrations are designed to be plug-and-play. Each integration provides:
  • Step-by-step setup guides to get you started quickly, whether you are connecting code libraries, workflow builders, or AI platforms.
  • Code samples and templates you can copy, customize, and deploy for your use case.
  • Best practices for securing your API keys, handling errors, and optimizing performance.
  • Real-world examples showing how fast-growing startups and enterprises use Zenrows integrations to drive results.

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Example Use Cases

  • Monitor competitor pricing using Playwright or Puppeteer with Zenrows to extract prices daily and feed insights into Google Sheets through Zapier.
  • Automate lead enrichment by scraping company data with Zenrows, enriching it using Clay, and pushing it to your CRM in a single automated workflow.
  • Power AI-driven research by combining Zenrows with Lindy to collect, structure, and analyze data for market research or content generation.
  • Scale scraping operations by orchestrating thousands of parallel scraping jobs in n8n or Make.
  • Create an AI-powered knowledge base by scraping industry news and documentation with Zenrows, indexing the data using LlamaIndex, and enabling instant search and automated question-answering for your team.
  • Give an autonomous agent standing web access by connecting Claude Managed Agents or OpenClaw to Zenrows MCP, so it can scrape and monitor sites without you writing orchestration code.

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Getting Started

  1. Select the integration that best aligns with your workflow and technical expertise.
  2. Follow the integration guide for setup instructions, best practices, and troubleshooting tips.
  3. Secure your credentials by using environment variables or secure vaults for API keys, such as YOUR_ZENROWS_API_KEY.
  4. Test your workflow with a simple example, then scale up and customize as your needs grow.

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Best Practices

  • Always secure your API keys and never hard-code them in public code repositories.
  • Monitor your Zenrows quota at the Analytics Page and integration limits to avoid interruptions.
  • Use stable CSS selectors when scraping to minimize maintenance. See our Selector Best Practices for more guidance.
Zenrows integrations are built to help you move faster, automate more, and unlock the full power of web data, regardless of your stack or skill set. If you have questions, feedback, or would like to suggest a new integration, please get in touch with our team via email anytime.

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Frequently Asked Questions (FAQ)

Choose based on your technical expertise and goals:
  • AI Assistants / AI Code Editors: For anyone who wants their AI assistant or editor to scrape and extract data directly, via MCP.
  • Agent SDKs & Frameworks: For engineers building autonomous, multi-step agents with an official vendor SDK or a framework like LangChain, LlamaIndex, Flowise, or Mastra.
  • Agent Platforms: For teams that want a hosted, autonomous agent product to run the loop for them.
  • No-Code & Automation: For operations, marketing, and growth teams automating processes without engineering resources.
  • Browser & Scraping Frameworks: For engineers building custom, code-driven scraping workflows.
Not necessarily. No-code integrations like Zapier, Make, n8n, and Pipedream let you build automated workflows using visual interfaces without writing code. AI assistants and agent platforms like Claude Desktop, Lindy, and OpenClaw also require no code. Developer tools like Playwright, Puppeteer, Scrapy, and Selenium, along with agent SDKs and frameworks, require programming knowledge in languages like Python, JavaScript, or others.
Always use environment variables or secure vaults to store your API keys. Never hard-code credentials like YOUR_ZENROWS_API_KEY directly in your code, especially in public repositories. Most integration platforms provide secure credential storage features you should use.
Yes, you can combine multiple integrations to create powerful workflows. For example, you might use Playwright to scrape data, Zapier to process and route it, and Clay to enrich it with AI - all in a single automated pipeline.
  • Agent SDK (Claude Agent SDK, OpenAI Agents SDK, Google ADK): an official vendor code library you use to build an agent yourself.
  • Agent Framework (LangChain, LlamaIndex, Flowise, Mastra): a third-party library or visual builder for the same job, not tied to one model vendor.
  • Agent Platform (Claude Managed Agents, Hermes, OpenClaw): a hosted product that runs the agent loop and infrastructure for you, you connect Zenrows and point it at a task.
Follow these troubleshooting steps:
  1. Check your Zenrows quota and integration limits at the Analytics Page
  2. Verify your API keys are correctly configured and haven’t expired
  3. Review the integration’s error logs for specific error messages
  4. Ensure your CSS selectors are still valid (websites may have changed)
  5. Check our Selector Best Practices for guidance
  6. Contact our support team
Yes, integrations enable massive scaling through parallel processing. Platforms like n8n, Make, and Pipedream can orchestrate hundreds or thousands of scraping jobs simultaneously. Combine this with Zenrows’ anti-bot capabilities to build enterprise-scale scraping operations.