Manage Apify datasets, key-value stores, and request queues programmatically,
and orchestrate multi-Actor pipelines.
Use when you need to read or write Apify datasets, export scraped data to
CSV/JSON/XLSX, store config or binary artifacts in a key-value store, manage a
resumable request queue, chain Actors into a scrape → transform → export
pipeline, or monitor Actor run status and cost.
Trigger with "apify dataset", "apify key-value store", "apify storage",
"export apify data", "apify pipeline", "apify request queue".
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
Manage Apify datasets, key-value stores, and request queues programmatically,
and orchestrate multi-Actor pipelines.
Use when you need to read or write Apify datasets, export scraped data to
CSV/JSON/XLSX, store config or binary artifacts in a key-value store, manage a
resumable request queue, chain Actors into a scrape → transform → export
pipeline, or monitor Actor run status and cost.
Trigger with "apify dataset", "apify key-value store", "apify storage",
"export apify data", "apify pipeline", "apify request queue".
allowed-tools
Read, Write, Edit, Bash(npm:*), Bash(npx:*), Grep
version
1.5.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
["saas","scraping","automation","apify"]
compatibility
Designed for Claude Code
Apify Core Workflow B — Storage & Pipelines
Overview
Manage Apify's three storage types (datasets, key-value stores, request queues)
and orchestrate multi-Actor pipelines using the apify-client JS SDK. Covers
CRUD operations, data export, automatic pagination, and chaining Actors
together (scrape → transform → export).
This SKILL.md gives you the high-level workflow plus the essential first example
for each storage type. Drill into the reference files for the complete,
copy-ready code:
Storage operations — full reference —
every dataset, key-value store, and request queue operation with pagination,
format export, and binary records.
Read an Actor run's OUTPUT record — after a run completes:
const run = await client.actor('apify/web-scraper').call(input);
const output = await client.keyValueStore(run.defaultKeyValueStoreId).getRecord('OUTPUT');
Longer end-to-end examples — the full pagination loop, binary record storage,
and the three-stage runPipeline() — live in the reference files:
storage-operations.md and
pipelines.md.
For common errors and their fixes across the Apify pack, see the
apify-common-errors skill. For Actor invocation and run lifecycle basics that
pipelines build on, see apify-core-workflow-a.