OfferCatcher

What It Does

Scans your Apple Mail for recruiting emails, extracts important events (interviews, assessments, deadlines) using LLM, and creates native Apple Reminders that sync to your iPhone.

How To Use

Trigger Phrases

• "Check my recruiting emails"
• "Any interviews coming up?"
• "Sync interview emails to reminders"
• "Don't let me miss my coding test"

Workflow

1. Scan: --scan-only → returns JSON with raw emails
2. Parse: OpenClaw LLM extracts events from emails
3. Apply: --apply-events → creates Apple Reminders

Step 1: Scan Emails

python3 scripts/recruiting_sync.py --scan-only

Returns raw email data for LLM to parse.

Step 2: LLM Parses

For each email, extract:

• company: Company name
• event_type: interview / ai_interview / written_exam / assessment / authorization / deadline
• timing: {"start": "YYYY-MM-DD HH:MM", "end": "..."} or {"deadline": "..."}
• role: Job title
• link: Event URL

Step 3: Apply Events

python3 scripts/recruiting_sync.py --apply-events /tmp/events.json

LLM Parsing Prompt

Extract recruiting event information from this email. Return JSON.

Email:
{body}

Extract:
- company: Company name
- event_type: interview / ai_interview / written_exam / assessment / authorization / deadline
- timing: {"start": "YYYY-MM-DD HH:MM", "end": "..."} or {"deadline": "..."}
- role: Job title
- link: Event URL
- notes: Additional info

Output Rules

• Reminder title: Company + Event type (e.g., "Google Interview", "Meta Coding Test")
• Include: Time, role, link in notes
• If no new events: respond HEARTBEAT_OK

Configuration

~/.openclaw/offercatcher.yaml:

mail_account: "Gmail"    # Apple Mail account name
mailbox: INBOX           # Folder to scan
days: 2                  # Scan last N days
max_results: 60          # Max emails

Supported Languages

The LLM parser works with any language—Chinese, English, Japanese, German, etc. No regex, no language-specific rules.