chore: import upstream snapshot with attribution
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This commit is contained in:
@@ -0,0 +1,228 @@
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import { sleep } from '@sim/utils/helpers'
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import { DEFAULT_EXECUTION_TIMEOUT_MS } from '@/lib/core/execution-limits'
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import type { ApifyRun, RunActorParams, RunActorResult } from '@/tools/apify/types'
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import type { ToolConfig } from '@/tools/types'
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const POLL_INTERVAL_MS = 5000
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const MAX_POLL_TIME_MS = DEFAULT_EXECUTION_TIMEOUT_MS
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export const apifyRunActorAsyncTool: ToolConfig<RunActorParams, RunActorResult> = {
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id: 'apify_run_actor_async',
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name: 'APIFY Run Actor (Async)',
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description: 'Run an APIFY actor asynchronously with polling for long-running tasks',
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version: '1.0.0',
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params: {
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apiKey: {
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type: 'string',
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required: true,
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visibility: 'user-only',
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description: 'APIFY API token from console.apify.com/account#/integrations',
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},
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actorId: {
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type: 'string',
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required: true,
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visibility: 'user-or-llm',
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description:
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'Actor ID or username/actor-name. Examples: "apify/web-scraper", "janedoe/my-actor", "moJRLRc85AitArpNN"',
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},
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input: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description:
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'Actor input as JSON string. Example: {"startUrls": [{"url": "https://example.com"}], "maxPages": 10}',
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},
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waitForFinish: {
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type: 'number',
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required: false,
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visibility: 'user-or-llm',
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description: 'Initial wait time in seconds (0-60) before polling starts. Example: 30',
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},
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itemLimit: {
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type: 'number',
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required: false,
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default: 100,
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visibility: 'user-or-llm',
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description: 'Max dataset items to fetch (1-250000). Default: 100. Example: 500',
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},
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memory: {
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type: 'number',
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required: false,
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visibility: 'user-or-llm',
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description:
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'Memory in megabytes allocated for the actor run (128-32768). Example: 1024 for 1GB, 2048 for 2GB',
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},
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timeout: {
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type: 'number',
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required: false,
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visibility: 'user-or-llm',
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description:
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'Timeout in seconds for the actor run. Example: 300 for 5 minutes, 3600 for 1 hour',
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},
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build: {
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type: 'string',
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required: false,
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visibility: 'user-or-llm',
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description: 'Actor build to run. Examples: "latest", "beta", "1.2.3", "build-tag-name"',
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},
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},
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request: {
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url: (params) => {
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const encodedActorId = encodeURIComponent(params.actorId.trim())
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const baseUrl = `https://api.apify.com/v2/acts/${encodedActorId}/runs`
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const queryParams = new URLSearchParams()
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if (params.waitForFinish !== undefined) {
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const waitTime = Math.max(0, Math.min(params.waitForFinish, 60))
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queryParams.set('waitForFinish', waitTime.toString())
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}
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if (params.memory) {
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queryParams.set('memory', params.memory.toString())
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}
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if (params.timeout) {
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queryParams.set('timeout', params.timeout.toString())
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}
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if (params.build) {
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queryParams.set('build', params.build)
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}
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const query = queryParams.toString()
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return query ? `${baseUrl}?${query}` : baseUrl
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},
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method: 'POST',
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headers: (params) => ({
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Authorization: `Bearer ${params.apiKey}`,
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'Content-Type': 'application/json',
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}),
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body: (params) => {
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let inputData = {}
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if (params.input) {
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try {
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inputData = JSON.parse(params.input)
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} catch (e) {
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throw new Error('Invalid JSON in input parameter')
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}
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}
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return inputData
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},
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},
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transformResponse: async (response) => {
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if (!response.ok) {
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const errorText = await response.text()
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return {
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success: false,
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output: { success: false, runId: '', status: 'ERROR' },
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error: `APIFY API error: ${errorText}`,
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}
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}
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const data = await response.json()
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const run = data.data as ApifyRun
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return {
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success: true,
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output: {
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success: true,
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runId: run.id,
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status: run.status,
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datasetId: run.defaultDatasetId,
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},
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}
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},
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postProcess: async (result, params) => {
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if (!result.success) {
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return result
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}
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const runId = result.output.runId
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let elapsedTime = 0
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while (elapsedTime < MAX_POLL_TIME_MS) {
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await sleep(POLL_INTERVAL_MS)
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elapsedTime += POLL_INTERVAL_MS
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const statusResponse = await fetch(`https://api.apify.com/v2/actor-runs/${runId}`, {
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headers: {
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Authorization: `Bearer ${params.apiKey}`,
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},
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})
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if (!statusResponse.ok) {
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return {
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success: false,
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output: { success: false, runId, status: 'UNKNOWN' },
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error: 'Failed to fetch run status',
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}
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}
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const statusData = await statusResponse.json()
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const run = statusData.data as ApifyRun
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if (
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run.status === 'SUCCEEDED' ||
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run.status === 'FAILED' ||
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run.status === 'ABORTED' ||
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run.status === 'TIMED-OUT'
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) {
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if (run.status === 'SUCCEEDED' && run.defaultDatasetId) {
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const limit = Math.max(1, Math.min(params.itemLimit || 100, 250000))
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const itemsResponse = await fetch(
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`https://api.apify.com/v2/datasets/${run.defaultDatasetId}/items?limit=${limit}`,
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{
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headers: {
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Authorization: `Bearer ${params.apiKey}`,
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},
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}
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)
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if (itemsResponse.ok) {
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const items = await itemsResponse.json()
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return {
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success: true,
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output: {
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success: true,
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runId,
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status: run.status,
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datasetId: run.defaultDatasetId,
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items,
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},
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}
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}
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}
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return {
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success: run.status === 'SUCCEEDED',
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output: {
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success: run.status === 'SUCCEEDED',
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runId,
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status: run.status,
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datasetId: run.defaultDatasetId,
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},
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error: run.status !== 'SUCCEEDED' ? `Actor run ${run.status}` : undefined,
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}
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}
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}
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return {
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success: false,
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output: {
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success: false,
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runId,
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status: 'TIMEOUT',
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},
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error: 'Actor run timed out after 5 minutes of polling',
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}
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},
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outputs: {
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success: { type: 'boolean', description: 'Whether the actor run succeeded' },
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runId: { type: 'string', description: 'APIFY run ID' },
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status: { type: 'string', description: 'Run status (SUCCEEDED, FAILED, etc.)' },
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datasetId: { type: 'string', description: 'Dataset ID containing results' },
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items: { type: 'array', description: 'Dataset items (if completed)' },
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},
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}
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