Seats.aero Monitor Skill#

Track award availability from Seats.aero without airline-specific confirmers.

What This Skill Does#

1. Query Seats.aero cached search for multiple watchers.
2. Normalize raw API records into a stable internal schema.
3. Persist watcher config + watcher state in SQLite or JSON for idempotent new_only alerting.
4. Return [UNCONFIRMED / Seats.aero] alert events for none -> available transitions.

Entry Point#

bash

python3 <skill-dir>/scripts/check_awards.py --watchers-source db

# JSON backend
python3 <skill-dir>/scripts/check_awards.py \
  --state-backend json \
  --state-json /path/to/monitor.json \
  --watchers-source db

Optional Flags#

bash

# Single watcher only
python3 <skill-dir>/scripts/check_awards.py --watchers-source auto --watcher ana_sfo_hnd

Watchers In DB#

Import watchers from config into DB:

bash

python3 <skill-dir>/scripts/check_awards.py --watchers-import --replace-watchers --config /path/to/watchers.json

# Import into JSON state file instead of SQLite
python3 <skill-dir>/scripts/check_awards.py \
  --state-backend json \
  --state-json /path/to/monitor.json \
  --watchers-import --replace-watchers --config /path/to/watchers.json

List DB watchers:

bash

python3 <skill-dir>/scripts/check_awards.py --watchers-list

# List watchers stored in JSON state file
python3 <skill-dir>/scripts/check_awards.py \
  --state-backend json \
  --state-json /path/to/monitor.json \
  --watchers-list

Update watchers' date ranges:

bash

# Update specific watcher by ID
python3 <skill-dir>/scripts/update_watcher_dates.py \
  --watcher pvg_sfo_aeroplan_2026summer --start 2026-08-01 --end 2026-08-15

# Update all watchers from an origin airport
python3 <skill-dir>/scripts/update_watcher_dates.py \
  --origin PVG --start 2026-08-01 --end 2026-08-15

# Dry run (preview changes)
python3 <skill-dir>/scripts/update_watcher_dates.py \
  --origin PVG --start 2026-08-01 --end 2026-08-15 --dry-run

# Update dates in JSON backend
python3 <skill-dir>/scripts/update_watcher_dates.py \
  --state-backend json --state-json /path/to/monitor.json \
  --origin PVG --start 2026-08-01 --end 2026-08-15

# Skip confirmation prompt
python3 <skill-dir>/scripts/update_watcher_dates.py \
  --origin PVG --start 2026-08-01 --end 2026-08-15 --yes

# See all options
python3 <skill-dir>/scripts/update_watcher_dates.py --help

Fixed date range support:

1. fixed_start_date + fixed_end_date ( YYYY-MM-DD) to track a fixed window (for example, August only).
2. Set both to same day to track one specific date.
3. If fixed dates are set, window_days is ignored.

SQLite state DB default path (override via --state-db or SEATS_AERO_DB env):

• <skill-dir>/data/monitor.db (relative to skill installation)
• Or set SEATS_AERO_DB=/path/to/monitor.db in environment

JSON backend requires --state-backend json --state-json /path/to/monitor.json.

Requirements#

• Python: 3.11+ (uses str | None union syntax)
• SQLite3: Built into Python standard library; DB file and schema are auto-created on first run when using --state-backend sqlite
• JSON: No extra dependency; state file is auto-created on first write when using --state-backend json
• Optional: brotli Python package (only needed if Seats.aero API returns Brotli-compressed responses)
• Seats.aero API Key: Required for all API calls

Environment#

Set Seats API key before running:

bash

export SEATS_AERO_API_KEY="pro_xxx..."

Important Limitation#

All alerts are candidate signals from Seats.aero. This skill intentionally does not perform airline-side confirmation and marks all alerts as unconfirmed.

This script does not send messages directly; caller/agent should read data.alert_events from JSON output and send notifications.