- STATUS
- DATA
- ERRORS
- HUMAN
Short answer
How can I track my ParseHub scraping runs with an AI?
Your AI uses the ParseHub MCP to check the status of headless browser runs and pull the most recent successful data. You'll see exactly what's happening with your jobs and get the results right in your chat.
Where your data lands.
The outcomes of your monitoring.
The AI organizes your scraping information into these four categories.
STATUS
Live run tracking
The AI checks the current state of your headless browser sessions. You'll know if jobs are running, finished, or stuck.
DATA
Latest successful payloads
Once a run finishes, your agent pulls the fresh data. You can analyze the results immediately in your chat.
ERRORS
Run failure details
If a job fails, the AI retrieves the specific run details. This helps you understand why a scrape didn't complete.
HUMAN
Manual intervention
If the AI finds a recurring error, it flags it for you. You decide if you need to fix the ParseHub recipe yourself.
The workflow
What your AI does when the scraping job arrives.
The AI acts as the bridge between ParseHub and your conversation.
Identify active jobs
The AI looks through your account to find all current and recent scraping sessions.
list_runsInspect specific runs
When you ask about a particular job, the AI pulls the specific logs and status info for that run.
get_run_detailsFetch successful data
The AI grabs the most recent data payload that was successfully scraped and is ready for use.
get_last_ready_dataReport status
The AI summarizes the findings, telling you if the data is ready or if a run failed.
list_runsget_run_details
Try it
Copy these to start.
Use these prompts to kick off your monitoring tasks.
Starting points
Swap out the bracketed info for your specific ParseHub run IDs or job names.
ParseHub Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — ParseHub capabilities are ready to use.
{
"mcpServers": {
"parsehub-mcp": {
"url": "https://edge.vinkius.com/vk_preview_KQ4Vz5JSUvjaARvQvBDyCn0dVVNm7RhifigMEXcR/mcp"
}
}
}List all my recent ParseHub runs so I can see what's finished.
Check the status of run ID [ID_NUMBER] and tell me if it succeeded.
Get the latest successful data from my [JOB_NAME] scraping job.
Why did my last ParseHub run fail? Check the details for me.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect ParseHub once, then ask.
You only need to link your account once. Your credentials stay encrypted, and you can start asking questions immediately.
Connect ParseHub to your AIFAQ
How the monitoring behaves
- 01
Can the AI start a new scraping job?
No. The AI can only monitor existing runs and retrieve data from completed ones.
- 02
Can the AI change my ParseHub scraping recipes?
No. The AI cannot modify your scraping logic or change how ParseHub crawls a site.
- 03
How does the AI know when a run is finished?
The AI checks the status of your runs using the available tools to see if they have reached a completed state.
- 04
Can the AI delete my scraped data?
No. The AI only reads the data payloads; it has no permission to delete anything in ParseHub.
- 05
Does the AI see all my ParseHub data?
The AI only sees the data from the specific runs you ask it to check or the latest ready payload.
More questions about ParseHub? The Connector page answers them. See everything the ParseHub Connector can do
Connect ParseHub to Claude, Cursor, ChatGPT & more
