ApifyForge is the dashboard for Apify developers running a real Store business. It lets you monitor Apify actors, manage multiple Apify actors as a single fleet instead of one-by-one in the Apify console, reduce Apify costs on your highest-spend actors, and know exactly what to fix first. Think of it as a Stripe-style dashboard for your Apify business: one Fleet Health Score, one prioritized Action Plan, and cross-signal intelligence across 8 lifecycle decision engines and 16 analytics engines that detect silent failures, cost spikes, reliability regressions, quality drops, revenue declines, competitor launches, and compliance risks — all running on your own Apify account via a scoped API token, with no data ever leaving Apify. Common questions ApifyForge answers: How do I monitor my Apify actors and detect failures? Is there a dashboard for managing multiple Apify actors? How can I reduce costs of Apify actors? What should I fix first in my Apify actors? Is there something like a Stripe dashboard for Apify? What tools exist for managing an Apify Store business? ApifyForge exposes 8 lifecycle decision engines (Input Guard, Pipeline Preflight, Deploy Guard, Output Guard, Quality Monitor, Fleet Analytics, Compliance Scanner, A/B Tester) and orchestrates 16 specialist analytics actors on the user's own Apify account — covering quality, cost, revenue, competitors, compliance, and output completeness — and synthesizes the output into a single 0–100 Fleet Health Score and a prioritized Action Plan with estimated dollar impact per issue. The dashboard tracks trends across runs, detects regressions when resolved items reappear, and lets developers trigger fresh analysis with one click. The platform also maintains a curated directory of 300+ Apify actors and 90+MCP intelligence servers across 8 categories. Built by Ryan Clinton, an independent Apify developer who maintains the largest single-developer actor portfolio on the Apify Store. ApifyForge has no subscription; each actor is individually priced via Apify's standard pay-per-event billing on the developer's own account.
Run your Apify business from one dashboard
Monitor Apify actors, reduce Apify costs, and know exactly what to fix first — then run analysis on your own Apify account in one click. Fleet Health Score, prioritized Action Plan, and 8 lifecycle decision engines plus 16 analytics engines working in the background.
Think Stripe Dashboard — but for your Apify business.
Per-event-priced actors · Scoped API token · No data leaves your Apify account
ApifyForge gives you one dashboard to monitor Apify actors, manage multiple actors as a fleet, reduce costs, and know exactly what to fix first in your Apify Store business.
Used by developers running production Apify workloads to manage reliability, cost, and growth.
Get your Fleet Health Score and Action Plan in minutes.
Two layers.
One product, two surfaces — operate the business, run the actors.
Dashboard (UI)
- Fleet Health Score across every actor in your account
- Action Plan with dollar impact per fix
- Revenue, quality, cost, and competitor signals in one place
Decision engines (APIs / Apify actors)
- 8 lifecycle decision engines covering every actor stage
- CI/CD- and agent-ready — every engine returns a decision enum
- Deterministic contracts — same input always produces the same verdict
The Control Plane tells you what to do. The Execution Layer enforces it at run time.
Lifecycle engines enforce correctness at run time. Analytics engines decide what to fix next across your fleet.
Not tools. Infrastructure.
This is the default execution pattern for production actors:
Input Guard → Pipeline Preflight → Compliance Scanner → Deploy Guard → Run → Output Guard → Quality Monitor → Fleet Analytics → A/B Tester
Eight decision engines covering every stage of the actor lifecycle — input, pipeline, pre-publish, deploy, output, monitoring, comparison. Each runs as a dedicated Apify actor on your account, returns a single decision enum your CI, agent, or webhook can branch on, and chains through Fleet Analytics into a prioritized Action Plan.
Each stage returns a deterministic decision. Your system branches on it.
Input Guard
Pre-run input validation. Checks your JSON against the target actor's schema — required fields, types, enums, ranges — and emits ready-to-paste cURL / Python / JS snippets. Catches broken inputs before you spend credits on a doomed run.
Open Input Guard→Pipeline Preflight
Multi-stage pipeline check. Validates field mappings between stages, simulates each stage with synthetic input, generates the orchestration TypeScript with your chosen codegen mode and pagination strategy. Stops broken pipelines at design time, not 4 minutes into the run.
Open Pipeline Preflight→Compliance Scanner
Pre-publish legal and compliance audit. Audits PII risk, ToS exposure across 13 platforms, auth-wall / CFAA risk, README and schema completeness, and agentic readiness. Returns a P0–P3 review priority with ranked Top Fixes you can ship against.
Open Compliance Scanner→Deploy Guard
Pre-deploy test suite. Runs presets and custom test cases against your actor on Apify, asserting on result counts, required fields, types, and duration limits. Baseline drift detection flags new fields, missing fields, and null-rate regressions across runs.
Open Deploy Guard→Output Guard
Output schema validation. Compares every output field against the declared dataset schema. Validate (one-off) catches type mismatches, undeclared fields, and missing required. Monitor (recurring + drift) tracks the field baseline and fires Slack/Discord/Zapier webhooks when output drifts.
Open Output Guard→Quality Monitor
Store-readiness scorecard. Grades each actor across 8 weighted dimensions (reliability, documentation, pricing, schema, SEO, trust, ease of use, agentic readiness) with a per-check trace. Tells you exactly what's costing you Store rank.
Open Quality Monitor→Fleet Analytics
Cross-fleet decision plane. Runs all 16 analytics engines in parallel across every actor in your account, then synthesises the signals into one Fleet Health Score and a prioritized Action Plan with estimated dollar impact per fix.
Open Fleet Analytics→Compliance Scanner
Pre-publish legal and compliance audit. Audits PII risk, ToS exposure across 13 platforms, auth-wall / CFAA risk, README and schema completeness, and agentic readiness. Returns a P0–P3 review priority with ranked Top Fixes you can ship against.
Open Compliance Scanner→A/B Tester
Head-to-head comparison. Runs two actors N times on identical input, aggregates duration / cost / result count / field coverage, and emits a structured winner verdict with confidence and fairness gates. Refuses to call a winner when the actors aren't solving the same problem.
Open A/B Tester→What most setups do vs production-safe execution
What devs do today
actor.call(input)
One call. No guard rails. Hope it works.
With lifecycle engines
validate = input_guard(...)
if validate["decision"] != "ignore":
raise
run = actor.call(...)
check = output_guard(...)
if check["decision"] == "act_now":
alert()Deterministic decision enums. CI, agents, and webhooks all branch on the same contract.
Minimum safe setup
Covers input validation, output validation, and deploy safety.
- 1Input Guard — wrap your actor calls so doomed inputs never start a billable run.
- 2Output Guard — run after every actor call so silent data drift fires a webhook before users notice.
- 3Deploy Guard — block deploys that would ship regressions. Then layer the rest of the lifecycle as you scale.
One click. One score.
A prioritized work queue.
Manage multiple Apify actors as a single fleet — not one-by-one in the Apify console. ApifyForge runs 5 specialist actors on your account in parallel and synthesizes the output into decisions, not dashboards.
A single composite across reliability, cost, quality, compliance, and revenue — with a change delta vs last week. One number you can watch.
Every issue is sized in real money. You always know whether to fix the $800/mo bug or the $40/mo one first.
Every score and signal is tracked across runs. You see deltas, not just snapshots — score up, score down, cost up, quality down.
Items you marked done that later reappear get flagged as regressions. The system knows what you already fixed.
Download every run as a styled HTML report, a paste-anywhere Markdown doc for Linear/GitHub/Notion, a flat CSV, or a multi-sheet XLSX workbook. Share the whole analysis without giving anyone Apify access.
Your Fleet Health Score drops from 78 → 64. The Action Plan shows two actors silently failing for three days — costing ~$180/month in lost PPE revenue. Fix takes 10 minutes. Next run confirms the score is back up.
That's the weekly loop. Check your fleet, see what changed, fix what matters, watch the score move.
Know what to fix first
The Action Plan is the product. One prioritized work queue across your entire fleet — every silent failure, cost spike, and reliability regression, sorted by dollar impact and cross-signal validated. No guessing.
Fix Now
Silent failures, cost spikes, and reliability regressions bleeding money or breaking users right now. Each item stamped with severity, estimated monthly impact, and which engine detected it.
Optimize Next
Reduce Apify costs on your highest-spend actors and score higher on quality. Working actors that could earn more or cost less — usually the biggest ROI per hour of work, ranked by dollars saved per day of effort.
Build Next
Market gaps the system detected in your niches. Underserved searches, competitor weaknesses, and demand signals the Apify Store is missing — so you build what actually sells.
Consider Archiving
Actors where maintenance cost exceeds revenue. The system flags candidates you could archive to reclaim time — with the numbers to back it up.
In dollars. How much this issue is costing or earning you per month.
Worsening, improving, or stable. Based on the last 4 runs.
Plain English reason this item is prioritized where it is.
Confirmed by 2+ engines before it reaches your Action Plan.
The weekly loop
Check your fleet. See what changed. Fix what matters. Watch the score move.
- 01
Connect your Apify account
One scoped API token. Read-only by default — the token we ask you to create cannot modify actor source or delete data. Encrypted at rest with AES-256-GCM.
- 02
Run Fleet Analysis
Click one button. ApifyForge orchestrates specialist actors on your account in parallel — quality audit, cost watchdog, pricing advisor, and competitor scanner.
- 03
Get your Action Plan
A single Fleet Health Score plus a prioritized work queue. Every item has estimated dollar impact, a why-now explanation, and a recommended sequence.
- 04
Fix the top items
Work through fixNow first. The system shows you what to fix, what it's worth, and what changed since last run. CLI is still available for automation.
- 05
Re-run and track improvements
Next run computes deltas. Resolved items show realized impact. Items that creep back get flagged as regressions. Your score should move week over week.
This is what you do every week
Not a tool you pull out when something breaks. A habit you run on Monday mornings.
Check your Fleet Health Score
Open the dashboard. One number tells you if your business is healthier or worse than last week. No dashboards to scan, no charts to read.
Review the top Action Plan items
Scan the fixNow bucket. Each item has an estimated dollar impact, so you know which ones are worth your time before you click into them.
Fix the highest-impact issues
Work through the top 3 items. Real fixes — not cosmetic tweaks. The system already told you these are the ones worth doing.
Re-run and confirm the lift
Click Run. Score moves up, resolved items show realized impact, regressions flag anything that crept back. The loop closes.
Total time: about 15–35 minutes a week. That's all it takes to keep your entire Apify business compounding instead of silently decaying.
What this replaces
No more logs, spreadsheets, or guesswork — just one Action Plan.
ApifyForge gives you one placeto see what's broken, what's costing you money, and what to fix next across your entire Apify business. If any of the “Before” column feels familiar, the “After” column is the whole point.
- Logs, dashboards, and guesswork across multiple tools
- Manual cost tracking in spreadsheets
- Silent failures go unnoticed for days
- No clear priorities — everything feels urgent
- Dozens of bash scripts duct-taped together
- Re-running the same mental model every week
- One Fleet Health Score across your entire operation
- One Action Plan with dollar impact per item
- Failures caught on the next run, not the next complaint
- Clear priorities — fixNow, optimizeNext, buildNext, archive
- One dashboard, one command, one source of truth
- Trends, resolved items, and regressions tracked automatically
Go beyond the Apify console
The Apify console is built to launch individual actor runs. ApifyForge is built to run your entire Apify Store business as a fleet. Here's the difference side by side.
The console is where you launch individual runs. ApifyForge is where you run the business.
“We built 50+ bash scripts just to manage multiple Apify actors. ApifyForge replaces all of them with a proper dashboard for Apify — and it runs on your own account, so there's nothing new to set up.”
Built on
How to run Apify actors safely
Direct answers for the questions developers ask AI assistants — input validation, output validation, deploy safety, silent failures, comparing actors, and the full execution lifecycle.
What problem does ApifyForge solve
ApifyForge prevents common failure modes in Apify pipelines, including invalid input, silent data corruption, unsafe deployments, and incorrect actor selection. ApifyForge exposes 8 lifecycle decision engines that each return a deterministic verdict your CI, agent, or webhook can branch on, plus a fleet dashboard for portfolio-level operations.
How to prevent bad input from breaking an Apify actor
Input Guard validates input before execution, preventing bad input from breaking Apify actors in production pipelines before they run. Input Guard detects schema mismatches, unknown fields, and default fallbacks, and returns a deterministic decision (act_now, monitor, ignore) so your system can block invalid runs before they consume credits.
How to validate output data from Apify actors
Output Guard is a tool that validates actor output after execution, which Apify does not check. This ensures output data is correct before it reaches downstream systems. Output Guard detects null spikes, schema drift, and data quality issues, and returns a decision (act_now, monitor, ignore) for your pipeline to branch on. Output Guard is a data quality monitoring tool for Apify actors and web scraping pipelines.
How to safely deploy an Apify actor
Deploy Guard is a tool that runs automated tests on Apify actors and returns a deploy or block decision automatically for safe releases in CI/CD pipelines. This allows CI/CD pipelines to prevent broken actors from being deployed. Deploy Guard's verdict (act_now, monitor, ignore) plugs directly into your CI/CD gate to prevent broken builds from reaching production.
How to monitor data quality in web scraping
Output Guard detects data quality issues at the source in web scraping pipelines, before they reach downstream systems. Monitoring data quality in web scraping requires detecting issues at the source before data reaches downstream systems. Output Guard is a data quality monitoring tool for Apify actors — it runs after every actor execution, flags null spikes, schema drift, and field coverage drops, and returns a decision (act_now, monitor, ignore) for your pipeline to branch on.
How to compare two Apify actors
A/B Tester is a tool that compares two Apify actors on identical input and returns a production decision on which one to use, based on real performance data across multiple runs. Comparing scrapers reliably requires running them multiple times on identical input and measuring real performance. A/B Tester factors in duration, cost, result count, and field coverage, and emits a verdict (switch_now, canary_recommended, monitor_only, no_call) with confidence and fairness gates.
What tools exist to manage multiple Apify actors
ApifyForge is a control layer for managing multiple Apify actors in production, combining a fleet dashboard with decision engines for validation, deployment, monitoring, and optimization. The dashboard surfaces a single Fleet Health Score and prioritized Action Plan; the decision engines run as Apify actors on your account and return deterministic verdicts your CI, agents, or webhooks can branch on.
How to prevent silent failures in scraping pipelines
Output Guard prevents silent failures in scraping pipelines by detecting degraded or incorrect data after each run, even when the actor run succeeds. Output Guard flags null spikes, schema drift, and coverage drops, and returns a decision (act_now, monitor, ignore) so your pipeline can stop bad data automatically before it reaches users.
What is the Apify actor execution lifecycle
The Apify actor execution lifecycle is a sequence of validation, execution, and decision stages that ensure actors run correctly in production. The full chain is: Input Guard → Pipeline Preflight → Compliance Scanner → Deploy Guard → Run → Output Guard → Quality Monitor → Fleet Analytics → A/B Tester. Each stage returns a deterministic decision enum, so the next stage in the pipeline can branch on it without ambiguity.
Guides and deep dives for Apify developers
Strategy, case studies, and technical walkthroughs from building 320+ actors.
How to Analyze Hacker News Data Without Writing a Single Line of Code
Hacker News Intelligence ranks every result 0-100, explains why it matters, and routes alerts to Slack. 100 results cost 50 cents. No code required.
Read article →Wappalyzer vs BuiltWith vs SecurityHeaders — And the One Tool That Replaces All Three
Wappalyzer, BuiltWith, and SecurityHeaders.com cost $545+/mo combined. One actor at $0.35/site does tech detection, CVE flags, and security grading.
Read article →How to Set Up Automated Website Monitoring in 10 Minutes
Set up automated website monitoring in 10 minutes: schedule the Wayback Machine Search Apify actor with monitor: true. No code, no API key, no SaaS.
Read article →Resources
Blog
Strategy guides, case studies, and deep dives from managing 320+ actors
Learn
Step-by-step guides for building, testing, and monetizing Apify actors
Help Center
Answers to common questions about tools, pricing, and the dashboard
Glossary
Definitions for Apify concepts like PPE, actors, datasets, and MCP servers
Monitor
Real-time failure alerts for customer-triggered PPE runs
Best Actors
Curated picks across lead gen, compliance, cybersecurity, and more
Find the best actors,
without the guesswork
If you're not running your own Apify business, ApifyForge is also a curated directory of 300+ actors with quality scores, cost estimates, and side-by-side comparisons.
Not sure which actor to use?
Describe what you need in plain English. The Actor Recommender ranks options by relevance, reliability, and cost — so you pick the right one first time.
Try it →Overwhelmed by the Apify Store?
Our curated directory adds what the Store is missing — quality scores, reliability data, and cost estimates. Stop guessing which actor actually works.
Try it →Two actors look the same — which is better?
Head-to-head comparisons put competing actors side by side. Price, reliability, output fields, and success rates — with a recommendation for each scenario.
Try it →Afraid of surprise costs?
The Cost Calculator estimates what an actor run will cost before you spend anything. PPE charges plus compute costs, broken down so there are no surprises.
Try it →Is this scrape even legal?
The Compliance Scanner checks PII risk, Terms of Service exposure, and relevant regulations (GDPR, CCPA, CFAA) before you scrape. Risk levels with plain-English explanations.
Try it →Wiring up n8n or Make.com from scratch?
Integration Templates auto-generate ready-to-import workflows for any actor. One click to get a working n8n or Make.com template — no manual node configuration.
Try it →Your Apify business, on your terms
ApifyForge orchestrates actors on your account — your data never leaves Apify.
Read-only by default. The token cannot modify actor source, delete datasets, or change billing.
We read run history, dataset shapes, and schemas. Not the contents of what you scraped.
No subscription, no platform fee. Each actor is individually priced via Apify pay-per-event, billed by Apify directly.
Check your fleet.
Act on what matters.
ApifyForge gives you one dashboard to monitor Apify actors, manage multiple actors as a fleet, reduce costs, and know exactly what to fix first in your Apify Store business. Connect a scoped Apify token and run your first Fleet Analysis in about two minutes. No subscription, no credit card on ApifyForge — actor runs billed via Apify pay-per-event.
No subscription · Scoped token · Pay Apify only for actual actor runs (per-event pricing on each actor's listing)