Stop managing actors
with bash scripts
Use ApifyForge to monitor, test, and optimise a portfolio of Apify actors. Track health, revenue, quality, and competitors from a single dashboard instead of checking the Apify Console one actor at a time.
The problem
If you publish more than 5 actors, the Apify Console becomes unmanageable. There is no fleet view, no cross-actor analytics, no way to bulk-update pricing or metadata. Most developers end up writing bash scripts to poll the API and check health — scripts that break, produce no alerts, and have no UI.
The solution
ApifyForge gives you a fleet dashboard that shows every actor's runs, revenue, users, and health status in one view. Revenue Analytics breaks down PPE earnings per actor. The Health Monitor flags failures before your users notice. Quality Scores tell you exactly what to fix to improve your Store ranking. All running on your own Apify account — no data leaves Apify.
How it works
Connect your Apify token
Sign in with GitHub or Google, paste your Apify API token, and ApifyForge immediately loads your actor data. No installation, no infrastructure to set up.
Review your fleet health
The Fleet Dashboard shows all actors sorted by runs, revenue, or health status. Spot failing actors instantly — red means broken, green means healthy.
Fix quality issues
Quality Scores audit each actor for README completeness, pricing configuration, output schema compliance, and reliability. Each issue comes with a specific fix.
Track revenue and competitors
Revenue Analytics shows which actors earn the most and which are declining. Competitor Intel shows what rival actors in your categories charge and how fast they are growing.
What does it cost?
The dashboard and quality scores are free. Analytics actors (Fleet, Health, Quality, Revenue, Competitors) cost $0.05-0.15 per run via PPE. A weekly portfolio check costs roughly $0.50-1.50/month.
Estimate your cost →Useful tools
Ready to get started?
Connect your Apify account and start running actors in under 2 minutes. Free.
Other use cases
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