gmail-cleaner（Gmail cleaner 搜索）

Gmail Cleaner

Bulk Gmail cleanup using the Gmail API. Processes 1000 messages per API call.

Prerequisites

• google-api-python-client, google-auth-oauthlib Python packages (scripts auto-install if missing)
• OAuth credentials JSON from Google Cloud Console (Desktop app type)
• Token files stored as .pkl files per account

Workflow

1. Auth (first time or new account)

python scripts/auth.py --credentials /path/to/credentials.json --token /path/to/token.pkl --scopes settings

• basic scopes: read/modify/delete messages + labels
• settings scopes: adds gmail.settings.basic (required for creating filters)
• Default token path: ~/.openclaw/workspace/gmail_token.pkl
• Default creds path: ~/.openclaw/workspace/gmail_credentials.json

For a second account, specify a different --token path (e.g., gmail_token_work.pkl).

2. Scan (identify what to clean)

python scripts/scan.py --token /path/to/token.pkl --sample 500

Shows inbox counts by category + top 40 senders. Run this first.

3. Clean (bulk trash/delete)

# 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

4. Deep Clean (comprehensive)

# 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

5. Organize (labels + filters)

# 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

6. Restore (rescue emails from trash)

# 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"

Multiple Accounts

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

Common Patterns

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"}
]

Notes

• batchModify moves to TRASH — Gmail auto-purges after 30 days
• batchDelete is permanent and irreversible — always dry-run first
• Gmail filter creation requires gmail.settings.basic scope — re-auth with --scopes settings if filters fail with 403
• scan.py samples N messages; large inboxes may need --sample 2000 for accuracy
• Credentials JSON comes from Google Cloud Console → APIs & Services → Credentials → OAuth 2.0 → Desktop → Download JSON