Individual skill
apify-core-workflow-b
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".
plugins/saas-packs/apify-pack/skills/apify-core-workflow-b/SKILL.md
Source commit 0500b275e963c027f6b410e8c49c0446945c574e
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- Last checked
- Nov 12, 2026
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- 2,916
- Repository last updated
- Nov 12, 2026
- License
- MIT
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- ai Repository topic
- automation Repository topic
- claude-code Repository topic
- devops Repository topic
- mcp Repository topic
- ai-agents Repository topic
- anthropic Repository topic
- claude-code-plugins Repository topic
- developer-tools Repository topic
- llm Repository topic
- saas Declared skill tag
- scraping Declared skill tag
- automation Declared skill tag
- apify Declared skill tag
- engineering Derived category
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SKILL.mdcore · 7,125 bytesreferences/pipelines.mddoc · 2,286 bytesreferences/storage-operations.mddoc · 3,999 bytes
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# 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](references/storage-operations.md)** —
every dataset, key-value store, and request queue operation with pagination,