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From sjawhar
Use when scraping websites, extracting structured data from listing sites, running prebuilt scrapers/actors, or automating stubborn web research workflows. Make sure to use this whenever apartment hunting, marketplace scraping, anti-bot-resistant extraction, or batch website data collection would benefit from a dedicated scraping platform rather than ad hoc browser clicks.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sjawhar:apifyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use Apify as the heavy-duty scraping and extraction layer.
Use Apify as the heavy-duty scraping and extraction layer.
It is especially useful when:
Call via:
skill_mcp(mcp_name="apify", tool_name="...", arguments={...})
skill_mcp(mcp_name="apify", tool_name="search-actors", arguments={"query": "airbnb scraper"})
skill_mcp(mcp_name="apify", tool_name="apify/rag-web-browser", arguments={"url": "https://example.com/listing"})
skill_mcp(mcp_name="apify", tool_name="call-actor", arguments={
"actorId": "apify/example-actor",
"input": {"startUrls": [{"url": "https://example.com"}]}
})
skill_mcp(mcp_name="apify", tool_name="get-dataset-items", arguments={"datasetId": "DATASET_ID"})
APIFY_TOKEN in the environment.npx claudepluginhub sjawhar/dotfiles --plugin sjawharRuns Apify web scraping Actors, manages datasets, creates tasks, and retrieves crawl results via the Composio Apify integration.
Selects and runs the best Apify Actor for web data extraction across 55+ platforms (Instagram, Facebook, etc.). Automates actor selection, schema fetching, execution, and result summarization.
Integrates Apify web scraping and automation into existing JS/TS or Python apps using the apify-client package. Use to call Actors, retrieve results, and integrate into data pipelines.