Octoparse MCP Server
Connect your AI agent to Octoparse to trigger cloud web scraping tasks, monitor crawler statuses, and retrieve scraped data directly into chat.
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What is the Octoparse MCP Server?
The Octoparse MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Octoparse via 10 tools. Connect your AI agent to Octoparse to trigger cloud web scraping tasks, monitor crawler statuses, and retrieve scraped data directly into chat. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (10)
Tools for your AI Agents to operate Octoparse
Ask your AI agent "Look up task 'LinkedIn Profiles Q4' and tell me how many rows it extracted." and get the answer without opening a single dashboard. With 10 tools connected to real Octoparse data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Octoparse MCP Server capabilities
10 toolsDone to purge testing footprints before production crawls. Delete all securely stored data for an Octoparse task
Use offset-based pagination strictly to prevent memory crash exceptions (max 1000 limit). Export un-exported data from a completed Octoparse scraping task
Get the current running status of an Octoparse cloud task
0 password grant. Returns an access_token. The access_token must be stored and reused for API calls until expiration. Obtain an OAuth 2.0 access token from Octoparse
Use these IDs to filter executing scraping tasks nested inside a specific folder limit. List all task groups (folders) in the Octoparse account
Each task includes a taskId, status, and creation date. Use the taskId for starting or polling data. List all configured cloud scraping tasks on Octoparse
Execute this immediately after a successful `get_task_data`. Mark all currently stored data in an Octoparse task as extracted
Task changes status to Running instantly. Start a cloud scraping task on Octoparse
Stop a running Octoparse cloud task
g. changing the core search URL or injected keywords) without opening the Octoparse IDE cleanly scaling parameterized bots. Dynamically update URL or parameter constraints driving a task
What the Octoparse MCP Server unlocks
Connect your Octoparse framework to your AI agent and turn cloud-based web scraping into a fully conversational command center.
What you can do
- Task Execution — Trigger the launch engine using
start_taskwhenever data refresh is needed, or invokestop_taskto halt runaway crawlers instantly. - Status Monitoring — Keep a pulse on active bots by calling
get_task_status, or systematically drill down through your project taxonomy vialist_task_groupsandlist_tasks. - Data Ingestion — Dump the latest extracted web rows natively into the AI's context using
get_task_data, allowing the LLM to format, structure, or summarize the results immediately. - Token Operations — Authenticate dynamically utilizing
get_tokenwith your core credentials.
How it works
1. Subscribe to this server
2. Enter your Premium Octoparse API Credentials (Username/Email and Password)
3. Command your agent (e.g., Claude or Cursor) to spin up scrapers and read the downloaded data directly onto your IDE
Who is this for?
- Data Engineers — trigger scheduled pipelines, check extraction states, and dump JSON samples to debug schemas without leaving your terminal.
- Growth Hackers — quickly spin up an Amazon or LinkedIn scraper, grab the extracted table data, and have the AI formulate email lists simultaneously.
- Business Analysts — fetch the competitive pricing matrices scraped overnight and ask the AI to summarize price drops directly in the conversation.
Frequently asked questions about the Octoparse MCP Server
Can I have my AI format the scraped JSON into a clean Markdown table?
Absolutely. Because Octoparse MCP connects natively via the get_task_data capability directly into the AI's isolated context window, the language model can instantly translate cumbersome JSON fields into polished, structured, and legible tabular outputs on demand.
Is it possible to track task progress percentage in the chat?
Yes. When you instruct your agent to run get_task_status, it fetches the real-time runtime progress metrics from Octoparse's cloud. You'll see whether it's Waiting, Running, or Completed, along with how many rows have been extracted so far.
Do I need a paid Octoparse plan for API capabilities to work?
Yes. Octoparse explicitly limits their Advanced Cloud APIs strictly to their paid subscription levels. A Free tier account will reject the authentication tokens when attempting to fetch the runtime data.
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Connect Octoparse with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Octoparse MCP Server
Production-grade Octoparse MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.