🤖 Claude Collector

One command to extract all your Claude Code conversations for training datasets.

Quick Start

Install and run with uvx (recommended)

uvx claude-collector

That's it! The tool will:

• ✅ Auto-find your Claude Code data (~/.claude/projects)
• ✅ Extract all conversations
• ✅ Sanitize PII (emails, API keys, paths)
• ✅ Count total tokens
• ✅ Save as training-ready JSONL

Or install globally

uv tool install claude-collector
claude-collector

What It Does

Scans your Claude Code session files and:

1. Finds all conversation data in ~/.claude/projects
2. Extracts user/assistant message pairs
3. Sanitizes sensitive information:
   • Emails → [EMAIL]
   • API keys → [API_KEY]
   • File paths → /Users/[USER]/...
   • IP addresses → [IP]
   • OAuth tokens → [REDACTED]
4. Counts actual token usage
5. Saves as clean JSONL dataset

Example Output

🤖 Claude Collector v0.1.0
Extract & sanitize Claude Code conversations

✓ Found Claude data: /Users/z/.claude/projects

📂 Processing 1394 files...

╭─────────────────────┬──────────────╮
│ Metric              │ Value        │
├─────────────────────┼──────────────┤
│ Files scanned       │ 1,394        │
│ Files with data     │ 1,273        │
│ Total messages      │ 46,029       │
│ Training examples   │ 3,653        │
│ Total tokens        │ 4.04B        │
╰─────────────────────┴──────────────╯

✅ Dataset saved!
   File: claude_dataset_20251113.jsonl
   Size: 19.13 MB
   Examples: 3,653

🎉 Ready for training!

Options

# Dry run (see stats without saving)
uvx claude-collector --dry-run

# Custom output location
uvx claude-collector --output ~/my-dataset.jsonl

# Specify input directory
uvx claude-collector --input ~/.config/claude/projects

# Filter by minimum tokens
uvx claude-collector --min-tokens 1000

# Skip sanitization (NOT recommended for sharing!)
uvx claude-collector --no-sanitize

Use Cases

1. Create Training Dataset

uvx claude-collector --output training-data.jsonl

2. Audit Your Usage

uvx claude-collector --dry-run

Shows total tokens without saving.

3. Collect from Multiple Machines

On each computer:

# Machine 1
uvx claude-collector --output machine1-data.jsonl

# Machine 2  
uvx claude-collector --output machine2-data.jsonl

# Combine later
cat machine1-data.jsonl machine2-data.jsonl > combined-dataset.jsonl

4. Add to Existing Dataset

uvx claude-collector --output new-sessions.jsonl
cat existing-dataset.jsonl new-sessions.jsonl > updated-dataset.jsonl

Output Format

Each line is a JSON object:

{
  "messages": [
    {"role": "user", "content": "How do I..."},
    {"role": "assistant", "content": "You can..."}
  ],
  "metadata": {
    "timestamp": "2025-11-13T...",
    "tokens": {
      "input_tokens": 100,
      "output_tokens": 200,
      "cache_creation_input_tokens": 5000,
      "cache_read_input_tokens": 1000
    }
  }
}

Perfect for:

• Fine-tuning LLMs
• Training coding assistants
• Building instruction datasets
• Analysis and research

Finding Claude Data

Default Locations

~/.claude/projects/              # Primary
~/.config/claude/projects/       # Alternative

Check All Users

ls -la /Users/*/.claude/projects     # macOS
ls -la /home/*/.claude/projects      # Linux

Find Anywhere

find ~ -name "*.jsonl" -path "*/.claude/*" 2>/dev/null

Privacy & Security

⚠️ Important: Claude Code logs contain sensitive data!

The tool comprehensively sanitizes:

🔐 API Keys & Tokens:

• ✅ OpenAI API keys (sk-*)
• ✅ Anthropic API keys (sk-ant-*)
• ✅ GitHub tokens (ghp_*, gho_*, ghs_*, 40-char hex)
• ✅ HuggingFace tokens (hf_*)
• ✅ Slack tokens (xoxb-*, xoxp-*, xoxe-*)
• ✅ AWS credentials (AKIA*, secrets)
• ✅ JWT tokens
• ✅ Google API keys & OAuth
• ✅ SendGrid API keys
• ✅ Stripe keys (live, test, restricted)
• ✅ Square tokens
• ✅ Facebook/Twitter tokens

💰 Financial & Crypto:

• ✅ Credit card numbers
• ✅ Crypto seed phrases (BIP39)
• ✅ Ethereum/Bitcoin addresses
• ✅ Crypto private keys (64 hex)

🔑 Authentication:

• ✅ Private keys (PEM format)
• ✅ Database URLs with passwords
• ✅ Generic password patterns
• ✅ OAuth credentials

👤 Personal Information:

• ✅ Email addresses
• ✅ Social Security Numbers (US)
• ✅ Phone numbers
• ✅ IP addresses (last octet redacted)
• ✅ File paths (username redacted)

Still check before sharing:

• Project names (if sensitive)
• Company-specific terminology
• Proprietary code patterns

For maximum privacy, review the output file before uploading anywhere.

Requirements

• Python 3.8+
• Claude Code installed (for data to exist)

Installation Methods

1. uvx (easiest, no install)

uvx claude-collector

2. uv tool (global install)

uv tool install claude-collector
claude-collector

3. pip

pip install claude-collector
claude-collector

4. From source

git clone https://github.com/hanzoai/claude-collector
cd claude-collector
uv pip install -e .
claude-collector

Troubleshooting

"No Claude Code data found"

• Make sure Claude Code is installed
• Check you've had at least one session
• Try specifying path: --input ~/.claude/projects

"Only found a few conversations"

• This is normal if you're new to Claude Code
• Each session creates one file
• More usage = more data

"Tokens show 0"

• Some messages don't have usage tracking
• This is normal for system messages
• Real conversations will have token counts

Advanced: Custom Processing

import json

# Read dataset
with open('claude_dataset.jsonl', 'r') as f:
    for line in f:
        example = json.loads(line)
        
        # Access messages
        user_msg = example['messages'][0]['content']
        assistant_msg = example['messages'][1]['content']
        
        # Access metadata
        tokens = example['metadata']['tokens']
        timestamp = example['metadata']['timestamp']
        
        # Your custom processing here

License

MIT - Free to use for any purpose

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Found a bug? Open an issue: https://github.com/hanzoai/claude-collector/issues Want to contribute? PRs welcome!