MCP For Claude Marketplace
ParseHub

ParseHub MCP Connector for Claude

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

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Bring ParseHub Cloud Scraping directly into your AI workflows. Manage pre-configured web scraping targets natively and orchestrate complex headless browser automation directly from chat. Dispatch run jobs on command, query execution status limits, and extract final parsed payloads securely.

What you can do

  • Project Navigation — Inspect and list configured ParseHub projects, determining start URLs, templates, and total crawler pages attached
  • Execution Dispatch — Command remote servers to trigger specific headless data extraction jobs run_project optionally overriding starting URLs natively
  • Observability Tracing — Monitor exactly where a Run object is (queued, initialized, running, complete) without checking the desktop app
  • Payload Extraction — Pull down structured arrays containing the scraped payloads securely via get_run_data matching explicit datasets

How it works

  1. Subscribe to this server
  2. Enter your ParseHub API Key
  3. Start orchestrating complex scraping runs natively from Claude, Cursor, or your MCP UI

Who is this for?

  • Data Engineers — trigger cloud scraping logic securely and pipeline extracted datasets straight into processing tools natively
  • Marketing Intel — fetch completed scrapers watching competitor pricing logic tracking JSON arrays automatically
  • Research Analysts — kick off academic paper extractors via chat and digest the results upon completion
data-extractionheadless-browserweb-crawlingjson-outputcloud-scrapingautomation-workflows

10 tools expose this connector's capabilities to your AI agent.

cancel_run

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_run

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_project

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_run_data

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_run_details

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

get_last_ready_data

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

list_projects

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_runs

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

run_project

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_project_with_url

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

See how to talk to your AI agent using ParseHub.

Fetch the list of scrape projects I have on my ParseHub account.

Found 3 mapping projects in your account. 1: 'Pricing Monitor' (Token: t9zx... , runs: 4). 2: 'Real Estate Leads' (Token: t4ax...). 3: 'Competitor Blogs'. Want me to launch any of these into a run?

Start a new run for project 't9zx...' and check its status.

Dispatched action `run_project` for target `t9zx...`. Wait, pulling status logic: The cloud system confirmed it. Run ID `run_k1l`. Current Status is 'queued'. The parser will begin explicitly extracting domains soon.

Extract the finished data JSON payload from run ID 'run_k1l'.

Pulled exact constraints running `get_run_data`. The JSON indicates 40 records containing titles and strict price fields. Would you like me to process this data or format it differently?

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.

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