Compatible with every major AI agent and IDE
Clear task data on Octoparse
Done to purge testing footprints before production crawls. Delete all securely stored data for an Octoparse task
Get task data on Octoparse
Use offset-based pagination strictly to prevent memory crash exceptions (max 1000 limit). Export un-exported data from a completed Octoparse scraping task
Get task status on Octoparse
Get the current running status of an Octoparse cloud task
Get token on Octoparse
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
List task groups on Octoparse
Use these IDs to filter executing scraping tasks nested inside a specific folder limit. List all task groups (folders) in the Octoparse account
List tasks on Octoparse
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
Mark data exported on Octoparse
Execute this immediately after a successful `get_task_data`. Mark all currently stored data in an Octoparse task as extracted
Start task on Octoparse
Task changes status to Running instantly. Start a cloud scraping task on Octoparse
Stop task on Octoparse
Stop a running Octoparse cloud task
Update task params on Octoparse
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
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
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.
What happens if the underlying API rate limits my agent?
Our edge infrastructure automatically handles backoffs, queueing, and throttling. If an AI agent sends too many erratic requests, Vinkius manages the rate limits gracefully, ensuring your backend doesn't crash.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
How Chatbots Interact with Octoparse
The Octoparse integration provides comprehensive execution endpoints, allowing AI models to orchestrate tasks reliably.
Managing data extraction inside Claude
Integrate Octoparse to access native data extraction capabilities. This allows LLMs to perform secure, deterministic execution of developer tools tasks without hard-coded API scripts.
Optimizing web crawling with Claude
Deploy the Octoparse toolkit to manage web crawling. The integration offers robust endpoints for ChatGPT to control developer tools settings.
Octoparse. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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