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Apify Security Basics

Secure Apify API tokens, configure proxy access, and protect Actor data.

Installable skillMITBy jeremylongshoreUpdated Oct 30, 2026
INTENDED FORClaude CodeInstall in a listed agent.

instructions.md

---
name: apify-security-basics-b3444856186c
description: |
  Secure Apify API tokens, configure proxy access, and protect Actor data.
  Use when hardening API key management, setting up environment-specific tokens,
  rotating a leaked token, or auditing Apify security configuration.
  Trigger with "apify security", "apify secrets", "secure apify token",
  "apify API key security", "rotate apify token".
allowed-tools: Read, Write, Edit, Grep
version: 1.5.0
license: MIT
author: Jeremy Longshore <jeremy@intentsolutions.io>
tags:
- saas
- scraping
- automation
- apify
compatibility: Designed for Claude Code
---
# Apify Security Basics

## Overview

Security best practices for Apify API tokens, Actor data, proxy credentials, and webhook verification. Apify uses personal API tokens (prefixed `apify_api_`) for all authentication. Because a single token grants full account access with no per-token scoping, token hygiene is the whole game.

## Prerequisites

- Apify account with Console access
- Understanding of environment variables
- Access to your deployment platform's secrets management

## Token Architecture

Apify uses a single API token per user account for full API access. There is no scope-based permission system per token, so token security is critical.

| Token Type | Format | Where to Find |
|------------|--------|---------------|
| Personal API token | `apify_api_...` | Console > Settings > Integrations |
| Proxy password | Alphanumeric | Console > Proxy > Connection settings |

## Instructions

Follow the six hardening steps in order. Each has a lean summary below; the full
copy-paste code for every step is in
[references/implementation.md](references/implementation.md).

1. **Secure token storage** — keep the token in `.env` (never hardcoded) and add
   `.env`, `.env.*.local`, and `storage/` to `.gitignore`. Validate presence at
   startup so the app fails fast:

   ```typescript
   function requireToken(): string {
     const token = process.env.APIFY_TOKEN;
     if (!token) throw new Error('APIFY_TOKEN is required');
     if (!token.startsWith('apify_api_')) console.warn('unexpected token prefix');
     return token;
   }
   ```

2. **Per-environment token isolation** — separate tokens (ideally separate
   accounts) for dev / staging / prod, injected via each platform's secret store
   (`gh secret set`, `vercel env add`, GCP Secret Manager).
3. **Token rotation** — generate the new token first (old stays valid), push to
   every environment, verify it authenticates, then revoke the old one.
4. **Webhook payload verification** — Apify does not sign webhooks; confirm the
   run ID in the payload actually exists, or gate on a shared URL secret compared
   with `crypto.timingSafeEqual`.
5. **Actor data security** — redact sensitive fields before `pushData`; keep
   datasets named and private (no public sharing).
6. **Proxy security** — never log `proxyConfig.newUrl()` (it embeds the proxy
   password); log the proxy group only.

See [references/implementation.md](references/implementation.md) for the complete
code of every step, and [references/examples.md](references/examples.md) for
end-to-end scenarios.

## Output

Applying this skill produces a hardened project state:

- A `.gitignore` that excludes `.env*` and `storage/`, with no token in the tree.
- A startup token validator that throws on a missing/malformed `APIFY_TOKEN`.
- Environment-specific tokens wired into each platform's secret store.
- A documented rotation procedure and a completed **Security Checklist** (below).
- Webhook handlers that reject unverified runs and pipelines that redact PII
  before storage.

## Security Checklist

- [ ] `APIFY_TOKEN` stored in environment variables (never hardcoded)
- [ ] `.env` and `storage/` in `.gitignore`
- [ ] Separate tokens for dev/staging/prod
- [ ] Token rotation schedule documented
- [ ] Webhook endpoints verify source
- [ ] Proxy URLs never logged
- [ ] Scraped PII redacted before storage
- [ ] Named datasets used for sensitive data (no public sharing)
- [ ] CI/CD secrets configured (not in repo)

## Leaked Token Response

If a token is exposed:

1. **Immediately** regenerate token in Console > Settings > Integrations
2. Check recent Actor runs for unauthorized usage
3. Review billing for unexpected charges
4. Rotate proxy password if exposed
5. Audit git history: `git log --all -p -- '*.env' '*.json' | grep apify_api_`

## Error Handling

| Issue | Detection | Mitigation |
|-------|-----------|------------|
| Token in git history | `git log -p \| grep apify_api_` | Rotate token, use BFG to clean |
| Unauthorized runs | Unexpected runs in Console | Rotate token immediately |
| Proxy password exposed | Credentials in logs | Regenerate proxy password |
| Data breach in dataset | PII in public dataset | Delete dataset, sanitize pipeline |

## Examples

Quick starting point — bootstrap a new project's secrets safely:

```bash
cat >> .gitignore <<'EOF'
.env
.env.*.local
storage/
EOF
echo 'APIFY_TOKEN=apify_api_dev_token' > .env
git status --short   # .env must NOT appear
```

Four full worked scenarios — secure bootstrap, cross-environment rotation,
webhook-verify-then-sanitize, and a git-history leak audit — are in
[references/examples.md](references/examples.md).

## Resources

- [Apify Account Security](https://docs.apify.com/platform/collaboration)
- [API Authentication](https://docs.apify.com/api/v2/getting-started)
- [Proxy Connection Settings](https://docs.apify.com/platform/proxy)
- [Full implementation reference](references/implementation.md)
- [Worked examples](references/examples.md)

## Next Steps

For production deployment hardening beyond secrets — health checks, rate limits,
and monitoring — see the `apify-prod-checklist` skill in this pack.

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Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.