Apify security basics
Skill ComeOnOliver/skillshub/skills/jeremylongshore/claude-code-plugins-plus-skills/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, or auditing Apify security configuration. Trigger: "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.
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
Step 1: Secure Token Storage
# .env (NEVER commit — must be in .gitignore)
APIFY_TOKEN=apify_api_YOUR_TOKEN_HERE
# .gitignore — mandatory entries
.env
.env.local
.env.*.local
storage/ # Local Apify storage may contain scraped data
// Validate token exists at startup
function requireToken(): string {
const token = process.env.APIFY_TOKEN;
if (!token) {
throw new Error(
'APIFY_TOKEN is required. Get yours at ' +
'https://console.apify.com/account/integrations'
);
}
if (!token.startsWith('apify_api_')) {
console.warn('Warning: APIFY_TOKEN does not have expected prefix');
}
return token;
}
Step 2: Per-Environment Token Isolation
Use separate Apify accounts (or at minimum separate tokens) per environment:
# Development — your personal account
APIFY_TOKEN=apify_api_dev_token
# Staging — shared team account (limited usage)
APIFY_TOKEN=apify_api_staging_token
# Production — production account (separate billing)
APIFY_TOKEN=apify_api_prod_token
Platform secrets management:
# GitHub Actions
gh secret set APIFY_TOKEN --body "apify_api_prod_token"
# Vercel
vercel env add APIFY_TOKEN production
# Google Cloud Secret Manager
echo -n "apify_api_prod_token" | \
gcloud secrets create apify-token --data-file=-
Step 3: Token Rotation Procedure
# 1. Generate new token in Console > Settings > Integrations
# (old token remains valid until explicitly revoked)
# 2. Update in all environments
gh secret set APIFY_TOKEN --body "apify_api_NEW_TOKEN"
# 3. Verify new token works
curl -sf -H "Authorization: Bearer $NEW_TOKEN" \
https://api.apify.com/v2/users/me | jq '.data.username'
# 4. Revoke old token in Console
# Settings > Integrations > (regenerate invalidates old token)
Step 4: Webhook Payload Verification
Apify webhooks include run data in the POST body. Verify the source:
import crypto from 'crypto';
import { type Request, type Response } from 'express';
// Apify doesn't sign webhooks by default, but you can verify
// by checking that the run ID in the payload actually exists
async function verifyWebhookPayload(
payload: { eventData: { actorRunId: string } },
client: ApifyClient,
): Promise<boolean> {
try {
const run = await client.run(payload.eventData.actorRunId).get();
return run !== null && run !== undefined;
} catch {
return false;
}
}
// Alternatively, use a shared secret in your webhook URL
// https://your-server.com/webhook?secret=YOUR_WEBHOOK_SECRET
function verifyWebhookSecret(req: Request): boolean {
const secret = req.query.secret as string;
if (!secret || !process.env.APIFY_WEBHOOK_SECRET) return false;
return crypto.timingSafeEqual(
Buffer.from(secret),
Buffer.from(process.env.APIFY_WEBHOOK_SECRET),
);
}
Step 5: Actor Data Security
// Sanitize sensitive data before pushing to datasets
function sanitizeForDataset(item: Record<string, unknown>): Record<string, unknown> {
const sensitiveFields = ['email', 'phone', 'password', 'ssn', 'creditCard'];
const sanitized = { ...item };
for (const field of sensitiveFields) {
if (field in sanitized) {
sanitized[field] = '***REDACTED***';
}
}
return sanitized;
}
// Use named datasets with access control
// Only your account can access your datasets by default
// Public datasets require explicit sharing via API
Step 6: Proxy Security
// Never log or expose proxy URLs (they contain credentials)
const proxyConfig = await Actor.createProxyConfiguration({
groups: ['RESIDENTIAL'],
countryCode: 'US',
});
// DO NOT do this:
// console.log(await proxyConfig.newUrl()); // Leaks proxy password!
// Instead, log proxy group info only
console.log(`Using proxy group: ${proxyConfig.groups?.join(', ')}`);
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 |
Resources
Next Steps
For production deployment, see apify-prod-checklist.