apify-cost-tuning

# Apify Cost Tuning ## Overview Apify charges based on compute units (CU), proxy traffic (GB), and storage. One CU = 1 GB memory running for 1 hour. This skill covers how to analyze, reduce, and monitor costs across all three dimensions. ## Pricing Model ### Compute Units (CU) ``` CU = (Memory in GB) x (Duration in hours) Example: 2048 MB (2 GB) running for 30 minutes = 2 x 0.5 = 1 CU ``` | Plan | CU Price | Included CUs | |------|----------|-------------| | Free | N/A | Limited trial | | Starter | $0.30/CU | Varies by plan | | Scale | $0.25/CU | Volume discounts | | Enterprise | Custom | Negotiated | ### Proxy Costs | Proxy Type | Cost | Use Case | |-----------|------|----------| | Datacenter | Included in plan | Non-blocking sites | | Residential | ~$12/GB | Sites that block datacenters | | Google SERP | ~$3.50/1000 queries | Google search results | ### Storage Named datasets and KV stores persist indefinitely but count against storage quota. Unnamed (default run) storage expires after 7 days. ## Instructions ### Step 1: Analyze Current Costs ```typescript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); async function analyzeActorCosts(actorId: string, days = 30) { const { items: runs } = await client.actor(actorId).runs().list({ limit: 1000, desc: true, }); const cutoff = new Date(Date.now() - days * 86400_000); const recentRuns = runs.filter(r => new Date(r.startedAt) > cutoff...