Install
openclaw skills install gmail-cleanerClawHub Security found sensitive or high-impact capabilities. Review the scan results before using.
Clean and organize Gmail accounts in bulk. Use when asked to clean Gmail, remove spam, trash newsletters/promotional emails, bulk-delete emails by sender, create labels, set up auto-filters, or restore emails from trash. Handles single or multiple Gmail accounts via OAuth token files. Works with any Gmail account using the Gmail API.
openclaw skills install gmail-cleanerBulk Gmail cleanup using the Gmail API. Processes 1000 messages per API call.
google-api-python-client, google-auth-oauthlib Python packages (scripts auto-install if missing).pkl files per accountpython scripts/auth.py --credentials /path/to/credentials.json --token /path/to/token.pkl --scopes settings
basic scopes: read/modify/delete messages + labelssettings scopes: adds gmail.settings.basic (required for creating filters)~/.openclaw/workspace/gmail_token.pkl~/.openclaw/workspace/gmail_credentials.jsonFor a second account, specify a different --token path (e.g., gmail_token_work.pkl).
python scripts/scan.py --token /path/to/token.pkl --sample 500
Shows inbox counts by category + top 40 senders. Run this first.
# Trash specific senders:
python scripts/clean.py --from "spam@example.com,news@example.org"
# Trash by Gmail search query:
python scripts/clean.py --query "category:promotions older_than:30d"
# From a JSON config file (list of {query, label}):
python scripts/clean.py --config senders.json
# Permanently delete instead of trash:
python scripts/clean.py --from "spam@example.com" --delete
# Dry run first:
python scripts/clean.py --from "spam@example.com" --dry-run
# Full deep clean (4 steps: trash promos → archive old → mark read → purge trash):
python scripts/deep_clean.py
# Custom age thresholds:
python scripts/deep_clean.py --promo-days 7 --archive-days 30 --unread-days 14
# Skip trash purge (keep trash for 30-day auto-delete):
python scripts/deep_clean.py --skip-trash-purge
# Apply built-in label set (Business, Banking, Tech, Personal, Trading, Social):
python scripts/organize.py
# Custom labels/rules/filters from JSON:
python scripts/organize.py --config labels.json
# Labels only (no filters):
python scripts/organize.py --skip-filters
# Restore all emails from a sender + apply a label:
python scripts/restore.py --from healthbeat@mail.health.harvard.edu --label "Harvard Health"
# Restore by query:
python scripts/restore.py --query "from:apple.com in:trash" --label "Tech/Apple"
Run each script with a different --token path per account:
python scripts/scan.py --token ~/.openclaw/workspace/gmail_token_personal.pkl
python scripts/scan.py --token ~/.openclaw/workspace/gmail_token_work.pkl
python scripts/deep_clean.py --token ~/.openclaw/workspace/gmail_token_work.pkl
Full cleanup for one account:
python scripts/auth.py --scopes settings
python scripts/scan.py # identify top senders
python scripts/clean.py --from "..." # trash specific senders
python scripts/deep_clean.py # clean categories
python scripts/organize.py # create labels + filters
Rescue important emails caught in bulk delete:
python scripts/restore.py --from important@example.com --label "Important"
Senders config file format for clean.py --config:
[
{"query": "from:temu@eu.temuemail.com", "label": "Temu"},
{"query": "category:promotions older_than:7d", "label": "Old Promos"}
]
batchModify moves to TRASH — Gmail auto-purges after 30 daysbatchDelete is permanent and irreversible — always dry-run firstgmail.settings.basic scope — re-auth with --scopes settings if filters fail with 403scan.py samples N messages; large inboxes may need --sample 2000 for accuracy