Integrate ParseHub with Claude, Cursor, Chatbots & AI Agents MCP Server

Q: Is the downloaded data returned in JSON or raw HTML?

The payload fetched by getrundata is exported entirely as structured, pre-parsed JSON mirroring the exact template node selections defined in your project architecture.

Control advanced cloud scraping projects via ParseHub — list targets, dispatch headless runs, trace crawler status, and fetch extracted datasets directly via AI.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

cancel

Cancel run on ParseHub

If the run was already scraping pages, partial data may be available. Data from already-scraped pages is preserved and can be retrieved with get_run_data. Use this to stop long-running scrapes or free up queue slots. Cancel a queued or actively running ParseHub run

delete

Delete run on ParseHub

Cannot be undone. Use this to clean up old runs and free up storage quota on your account. Permanently delete a ParseHub run and its extracted data

get

Get last ready data on ParseHub

Ideal for dashboards or integrations that always want the freshest available data without managing individual run tokens. Instantly get the latest completed data for a ParseHub project

get

Get project on ParseHub

The project_token can be found via list_projects or in the ParseHub desktop client settings tab. Get detailed configuration of a specific ParseHub project

get

Get run data on ParseHub

Only works when the run status is "complete" and data_ready is true. The JSON structure mirrors the template selection configuration set up in the ParseHub desktop client. Download the raw JSON data extracted from a completed ParseHub run

get

Get run details on ParseHub

Poll this endpoint to wait for a run to complete before fetching data. Check the status of a specific ParseHub run

list

List projects on ParseHub

Each project includes a project_token (unique identifier), title, last_run timestamp, and template configuration. Use the project_token for all subsequent run management operations. List all ParseHub web scraping projects

list

List runs on ParseHub

Useful for auditing or finding a specific completed run to fetch data from. Get the history of all runs for a ParseHub project

run

Run project on ParseHub

Returns a run_token for tracking progress. The run enters a queue and begins processing within seconds. Use get_run to monitor and get_run_data to retrieve results once complete. Start a new ParseHub scraping run for a project

run

Run project with url on ParseHub

Perfect for scraping different pages with the same template (e.g., different product categories). The template extraction rules still apply unchanged — only the starting page changes. Start a ParseHub run targeting a custom URL instead of the project default

Security & Code Integrity Audit

Every tool in the ParseHub MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 98.33

How Vinkius protects your data

Is the downloaded data returned in JSON or raw HTML?

The payload fetched by get_run_data is exported entirely as structured, pre-parsed JSON mirroring the exact template node selections defined in your project architecture.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

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 ParseHub

Build automated workflows with Cursor and Claude Code by connecting to the ParseHub MCP server.

Managing data extraction inside Claude

Integrate ParseHub to access native data extraction capabilities. This allows LLMs to perform secure, deterministic execution of developer tools tasks without hard-coded API scripts.

Seamless headless browser Integration

Use ParseHub to manage headless browser via conversational interfaces. The integration centralizes access control for developer tools operations performed by ChatGPT.