Apify security basics
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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".
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SKILL.md
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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.
-
Secure token storage — keep the token in
.env(never hardcoded) and add.env,.env.*.local, andstorage/to.gitignore. Validate presence at startup so the app fails fast: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; } -
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). -
Token rotation — generate the new token first (old stays valid), push to every environment, verify it authenticates, then revoke the old one.
-
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. -
Actor data security — redact sensitive fields before
pushData; keep datasets named and private (no public sharing). -
Proxy security — never log
proxyConfig.newUrl()(it embeds the proxy password); log the proxy group only.
See references/implementation.md for the complete code of every step, and references/examples.md for end-to-end scenarios.
Output
Applying this skill produces a hardened project state:
- A
.gitignorethat excludes.env*andstorage/, 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_TOKENstored in environment variables (never hardcoded) -
.envandstorage/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:
- Immediately regenerate token in Console > Settings > Integrations
- Check recent Actor runs for unauthorized usage
- Review billing for unexpected charges
- Rotate proxy password if exposed
- 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:
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.
Resources
- Apify Account Security
- API Authentication
- Proxy Connection Settings
- Full implementation reference
- Worked examples
Next Steps
For production deployment hardening beyond secrets — health checks, rate limits,
and monitoring — see the apify-prod-checklist skill in this pack.