ParseHub Connector for AI agents.
10 live capabilities
Automate cloud web scraping and data extraction tasks.
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Why people use ParseHub
ParseHub Cloud Scraping for Automated Data Extraction
With this Connector, you just type 'run the pricing project' in your chat. The agent handles the trigger, watches the queue, and gives you the final JSON when it's ready.
What Vinkius changes
You get to run complex web scraping via chat instead of manual dashboard management.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Competitor Price Tracking
A marketing lead asks the agent to run the 'Pricing Monitor' project and fetch the latest JSON to compare costs.
- Real-world use case 02
Real Estate Lead Gen
A user tells the agent to scrape a specific new listing page using the 'Real Estate' template to grab details.
- Real-world use case 03
Academic Research
An analyst kicks off a scraper for a set of journals and asks the agent to summarize the results once finished.
Complete set · 10capabilities
The complete ParseHub capability set.
These are the exact actions your AI can choose when you ask it to work with ParseHub.
01—04
4 capabilities in this set.
Part of 10 available through ParseHub.
- 01 Capability
Get project
Shows the configuration details for a specific scraping project. It helps you see the start URLs and templates.
- 02 Capability
List projects
Lists all the web scraping projects currently in your account. It provides the tokens needed for all other operations.
- 03 Capability
Get run data
Downloads the final JSON payload from a completed run. This gives your agent the actual data it needs to process.
- 04 Capability
Get run details
Shows the current status of a run, like whether it's queued or running. Use this to monitor progress in real time.
05—07
3 capabilities in this set.
Part of 10 available through ParseHub.
- 05 Capability
Get last ready data
Grabs the most recent completed data for a project without needing a run token. It is perfect for dashboard updates.
- 06 Capability
Cancel run
Stops a running or queued scrape to free up your queue slots. This is useful for stopping jobs that are no longer needed.
- 07 Capability
Delete run
Permanently removes old runs from your account. Use this to clear out history and free up storage quota.
08—10
3 capabilities in this set.
Part of 10 available through ParseHub.
- 08 Capability
List runs
Useful for auditing or finding a specific completed run to fetch data from. Get the history of all runs for a ParseHub project
- 09 Capability
Run project
Starts a new scraping run for a specific project. This puts the job into the cloud queue for processing.
- 10 Capability
Run project with url
Starts a run on a custom URL while using a project's template. It lets you scrape different pages with the same rules.
Set up in minutes
One URL. Then ask ParseHub to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use ParseHub from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it ParseHub, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable ParseHub for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the ParseHub URL.
- Step 03
Save and start
Save the connection and enable ParseHub in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"parsehub": {
"url": "https://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using ParseHub
Open Agent mode in chat and ask: "Using ParseHub, help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"parsehub": {
"url": "https://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using ParseHub
Ask Copilot: "Using ParseHub, help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"parsehub": {
"url": "https://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using ParseHub
Open Cascade and ask: "Using ParseHub, help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"parsehub": {
"url": "https://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using ParseHub
Ask Cline: "Using ParseHub, help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add parsehub --transport http "https://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using ParseHub
Ask Claude: "Using ParseHub, show me...". 10 tools are ready
Where the request belongs
Work ParseHub can move forward.
For data analysts and marketing teams who are tired of manually checking scraping statuses and downloading files one by one.
Data Engineer
Triggers cloud scrapes and pipes results into data pipelines.
Marketing Analyst
Tracks competitor pricing and pulls JSON arrays automatically.
Research Specialist
Kicks off academic paper extraction and digests results.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Automate web scraping with Browse AI. run extraction robots, monitor page changes, and retrieve bulk data directly from any AI agent.
Olostep
Scrape web pages at scale with a headless browser API that renders JavaScript and returns clean structured data instantly.
Spider
High-performance Rust-powered web scraping and crawling. scrape, crawl, and search up to 100K+ pages/second with built-in anti-bot protection.
Import.io (Web Data Extraction)
Extract structured data from any website via Import.io. run extractors, manage bulk crawls, and monitor API usage.
Bring your own AI
Change the model, client or framework. Keep ParseHub connected.
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Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about ParseHub.
The practical details behind the request, access and result.
Can ParseHub MCP run headless browsers for me?
Yes, it triggers cloud-based headless runs. This means you don't have to worry about browser compatibility, driver updates, or IP blocking on your own machine.
How does ParseHub MCP handle large datasets?
It pulls down structured JSON payloads. Your agent can then take that data and summarize, filter, or format it however you need.
Can I scrape a specific URL instead of the default project URL?
Yes, you can use the custom URL capability. This allows you to apply your project's existing scraping rules to a unique page or a different category.
Does ParseHub MCP save my account storage?
You can use the delete capability to remove old runs. This helps you keep your account storage free and ensures you don't hit your quota limits.
Is it good for real-time dashboard updates?
Yes, the 'get last ready data' capability is perfect for this. It pulls the most recent results without needing to start a new run every time you want an update.
How do I know when a scrape is finished?
Your agent can check the status of a run automatically. It will notify you as soon as the status moves to 'complete' so you can grab the data immediately.
Do I need the ParseHub Desktop capability running to use this?
No. This integration operates completely natively via ParseHub's Cloud API endpoints. You only need the desktop app to build the templates originally. All executions mapped here happen on their cloud scaling servers.
Can I provide a different Start URL when running a project?
Yes. The run_project_with_url command allows you to explicitly provide a start_url query property. This instructs the ParseHub crawler to ignore its project-saved URL and begin parsing the newly mapped domain using the same semantic template.
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.
One connection away
Give your agent a direct line to ParseHub.
Connect ParseHub once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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