Compliance Scanner, Actor Recommender & Comparisons
How to use ApifyForge's compliance risk scanner to assess legal exposure, the actor recommender to find the best tool for your task, and head-to-head comparisons to evaluate competing actors.
ApifyForge includes three tools for evaluating actors before you commit: the Compliance Risk Scanner for legal exposure, the Actor Recommender for finding the right tool, and head-to-head Comparisons for evaluating competing actors. These tools help you make informed decisions about which actors to use and what risks to be aware of.
Compliance Risk Scanner
The Compliance Risk Scanner at apifyforge.com/tools/compliance-scanner assesses the legal and regulatory risk of using specific Apify actors.
What it checks
The scanner evaluates three categories of risk for each actor:
PII risk — does this actor collect personally identifiable information? It scans the actor's description and output fields for keywords indicating personal data collection: emails, phone numbers, names, addresses, employee data, salary information, resumes, and similar identifiers. Actors that collect PII trigger obligations under GDPR (EU), CCPA (California), PIPEDA (Canada), and other privacy regulations.
ToS risk — does this actor scrape a platform that prohibits automated data collection? The scanner checks against a database of platform-specific rules:
- HIGH risk: LinkedIn, Facebook, Instagram — these platforms actively litigate against scrapers
- MEDIUM risk: Amazon, Google, YouTube, TikTok, Indeed, Glassdoor — these prohibit scraping in their Terms of Service but enforcement varies
- LOW risk: Reddit, Yelp, Zillow — public data sources with less aggressive enforcement
Regulation mapping — based on the identified PII and ToS risks, the scanner lists which specific regulations may apply and links to the relevant legal text. Regulations covered include GDPR, CCPA/CPRA, the Computer Fraud and Abuse Act (CFAA), the ePrivacy Directive, CAN-SPAM, and PIPEDA.
Risk levels
Each actor gets an overall risk score:
- LOW (green) — generally safe. Public data, no PII, permissive platform ToS. Proceed with standard caution.
- MEDIUM (amber) — proceed with care. Review the specific regulations flagged and ensure your use case complies. Consider adding data handling safeguards.
- HIGH (red) — significant legal exposure. The actor collects PII from platforms that actively litigate against scrapers. Consult legal counsel before using in production.
Important limitations
The scanner provides awareness, not legal advice. It identifies risk factors based on keywords and known platform policies, but it cannot evaluate your specific use case, jurisdiction, or business context. A HIGH risk rating does not mean the activity is illegal — it means there are significant compliance considerations you should review with qualified legal counsel. Similarly, a LOW risk rating does not guarantee compliance — local regulations, industry-specific rules, or contractual obligations may apply.
Practical use
Run the scanner across your actor fleet to identify which actors have the highest compliance exposure. Prioritize legal review for HIGH risk actors. For MEDIUM risk actors, document your lawful basis for data processing and implement appropriate data handling measures. For LOW risk actors, standard data management practices are typically sufficient.
Actor Recommender
The Actor Recommender at apifyforge.com/recommend helps you find the best Apify actor for your task using natural language search.
How it works
Type what you want to accomplish in plain English. Examples:
- "scrape Google Maps business listings with reviews"
- "find email addresses for companies"
- "monitor Amazon product prices"
- "extract TikTok video metadata"
The recommender searches across actor titles, descriptions, and categories to find matches. Results are ranked by a composite score:
- Keyword relevance — how well the actor's description matches your query
- Success rate — actors with higher reliability score higher, because a cheaper actor that fails 30% of the time is not actually cheaper
- Usage volume — popular actors are battle-tested by many users, reducing the risk of undiscovered bugs
- PPE pricing — cost-effectiveness at typical volumes
Tips for better results
Be specific about what data you need, not just what website you want to scrape. "Extract business names, phone numbers, and reviews from Google Maps" gets better results than "Google Maps scraper" because it matches against actors that specifically mention those output fields.
If the top recommendation does not fit, look at the 2nd and 3rd results. Actors lower in the ranking might be better for your specific volume, budget, or output format requirements. Use the Cost Calculator and Schema Registry to evaluate each option in detail.
Head-to-Head Comparisons
The comparison pages at apifyforge.com/compare evaluate competing actors side by side across objective metrics.
What each comparison includes
Each comparison page covers a specific category — contact scrapers, lead generation tools, review scrapers, and more. The page shows:
- Feature matrix — all competing actors as columns, evaluation criteria as rows
- PPE price per result — what each actor charges per unit of output
- Success rate — 30-day reliability percentage
- Total users — adoption and popularity
- Output field count — how much data each actor returns per result
- Proxy requirements — whether each actor needs datacenter, residential, or no proxies
- Special features — unique capabilities specific to each actor
Editorial context
The comparisons are curated and maintained, not auto-generated from raw data. Each one includes guidance on which actor is best for which scenario. For example:
- "Actor A is best for small batches under 100 results because of its low minimum cost"
- "Actor B is more economical for bulk runs over 10,000 results due to volume pricing"
- "Actor C has the richest output schema but requires residential proxies, adding to cost"
Currently available comparisons
Browse all comparisons at apifyforge.com/compare. New comparison pages are added as the actor catalog grows and new competitive categories emerge. If you want a comparison for a category that does not exist yet, use the feedback form to request it.
Using comparisons with other tools
The comparison gives you the overview. Then drill deeper with:
- Cost Calculator — model exact costs for your specific volume
- Schema Diff — compare output fields between the top two contenders
- Input Guard — check what parameters each actor accepts before running
This workflow — compare, estimate cost, check schema, validate input — takes 5 minutes and prevents weeks of regret from choosing the wrong actor.
Related guides
Getting Started with Apify Actors
To build an Apify actor, install Node.js 18+ and the Apify CLI, scaffold a project with apify create, write your logic inside Actor.main(), define an input_schema.json, and deploy with apify push. This guide walks through every step from zero to a published Apify Store listing.
Apify PPE Pricing Explained: Pay Per Event Model, Strategy, and Code Examples
Pay Per Event (PPE) is Apify's usage-based monetization model for actors on the Apify Store. Developers set a price per event (typically $0.001 to $0.50), call Actor.addChargeForEvent() in their code, and keep 80% of revenue while Apify takes 20%. This ApifyForge guide covers the 80/20 revenue split, actor.json configuration, charging code patterns, the 14-day price change rule, and pricing strategy by actor type.
How to Monetize Your Actors
To monetize Apify actors, start with Pay Per Event pricing at $0.01-$0.25 per result, then layer on tiered pricing for power users, free-tier funnels to drive adoption, and MCP server bundles that combine multiple actors into a single subscription. ApifyForge analytics tracks revenue per actor so you know which strategies work. This guide covers each revenue model with real pricing examples.
Actor Testing Best Practices
To test an Apify actor, define input/output test cases in a JSON fixture, run them with the ApifyForge test runner before every deploy, and set assertions on output shape, field counts, and error rates. The regression suite catches breaking changes by comparing current output against a saved baseline. This guide covers the full testing workflow from local validation to CI/CD integration.
Store SEO Optimization
Apify Store search ranks actors by title match, README keyword density, category tags, run volume, and a quality score out of 100. To rank higher, write a README that opens with a plain-language description of what the actor does, include target keywords in the first 100 words, set accurate categories in actor.json, and maintain a success rate above 95%. This guide breaks down every ranking factor and shows how ApifyForge tracks your score.
Managing Multiple Actors
To manage 10, 50, or 200+ Apify actors, use the ApifyForge fleet dashboard to monitor health, revenue, and quality scores across your entire portfolio in one view. Group actors by category, run bulk updates on pricing and metadata, set up failure alerts, and track maintenance pulse to catch stale actors before users complain. This guide covers fleet management workflows at every scale.
Cost Planning Tools: Calculator, Plan Advisor & Proxy Analyzer
How to use ApifyForge's cost planning tools to estimate actor run costs, choose the right Apify subscription plan, and pick the most cost-effective proxy type for each scraper.
AI Agent Tools: Pipeline Preflight, LLM Optimizer & Integration Templates
How to use ApifyForge's AI agent tools to debug MCP server connections, design multi-actor pipelines, optimize actor output for LLM token efficiency, and generate integration templates.
Schema Tools: Diff, Registry & Input Guard
How to use ApifyForge's schema tools to compare actor output schemas, browse the field registry, and test actor inputs before running — preventing wasted credits and broken pipelines.
The ApifyForge Testing Suite
Four cloud-powered testing tools for Apify actors: Output Guard, Deploy Guard, Cloud Staging, and Regression Suite. How they work together and when to use each one.
The Complete ApifyForge Tool Suite
All 15 developer tools in one guide: testing, schema analysis, cost planning, compliance scanning, LLM optimization, pipeline building, and privacy reporting. What each tool does, when to use it, and how they work together.
What Is an Apify Actor?
An Apify actor is a serverless cloud program that runs on the Apify platform. It accepts JSON input, executes a task (scraping, data processing, API calls, or AI tool serving), and produces structured output in datasets, key-value stores, or request queues. Actors are packaged as Docker containers and can be run via API, scheduled, or chained together.
What Are MCP Servers on Apify?
MCP (Model Context Protocol) servers are Apify actors that run in standby mode and expose tools via an HTTP endpoint for AI assistants like Claude Desktop, Cursor, and Windsurf. They connect large language models to real-world data sources -- APIs, databases, web scrapers, and intelligence feeds -- so AI agents can take actions beyond text generation.
How to Choose the Right Apify Actor
With over 3,000 actors on the Apify Store, choosing the right one for your task requires evaluating success rates, run history, pricing, maintenance frequency, and input schema quality. This guide provides a decision framework for selecting actors based on measurable quality metrics, plus tools to automate the comparison process.
How to Manage a Large Apify Actor Portfolio
Managing 10 Apify actors is straightforward. Managing 50 requires dashboards and cost tracking. Managing 200+ demands automated regression testing, schema validation, revenue analytics, and failure alerting. This guide covers the tools, processes, and hard-won lessons from scaling an Apify actor portfolio.