apify-debug-bundle

# Apify Debug Bundle ## Overview Collect all diagnostic information needed to troubleshoot failed Actor runs and prepare Apify support tickets. Pulls run metadata, logs, dataset samples, and environment info into a single bundle. ## Prerequisites - `apify-client` installed - `APIFY_TOKEN` configured - A failed or problematic run ID to investigate ## Instructions ### Step 1: Investigate a Failed Run ```typescript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: process.env.APIFY_TOKEN }); async function investigateRun(runId: string) { // Get run details const run = await client.run(runId).get(); console.log('=== Run Summary ==='); console.log(`Status: ${run.status}`); console.log(`Message: ${run.statusMessage}`); console.log(`Started: ${run.startedAt}`); console.log(`Finished: ${run.finishedAt}`); console.log(`Memory MB: ${run.options?.memoryMbytes}`); console.log(`Timeout sec: ${run.options?.timeoutSecs}`); console.log(`Build: ${run.buildNumber}`); console.log(`Origin: ${run.meta?.origin}`); console.log(`CU used: ${run.usage?.ACTOR_COMPUTE_UNITS?.toFixed(4)}`); console.log(`Cost USD: $${run.usageTotalUsd?.toFixed(4)}`); // Get dataset stats if (run.defaultDatasetId) { const ds = await client.dataset(run.defaultDatasetId).get(); console.log(`\nDataset items: ${ds.itemCount}`); } // Get run log (last 5000 chars) const log = await client.run(run...