From apify-agent-skills
Scrapes data from Instagram, Facebook, TikTok, YouTube, LinkedIn, Google Maps, Reddit, and 15+ platforms using Apify CLI actors for lead generation, monitoring, analysis, and extraction tasks.
npx claudepluginhub apify/agent-skills --plugin apify-actor-commandsThis skill uses the workspace's default tool permissions.
AI-driven data extraction from ~100 Actors across 15+ platforms via the Apify CLI.
references/actor-index.mdreferences/gotchas.mdreferences/workflows/brand-monitoring.mdreferences/workflows/company-research.mdreferences/workflows/competitive-intel.mdreferences/workflows/contact-enrichment.mdreferences/workflows/content-and-seo.mdreferences/workflows/ecommerce-price-monitoring.mdreferences/workflows/influencer-vetting.mdreferences/workflows/job-market-and-recruitment.mdreferences/workflows/knowledge-base-and-rag.mdreferences/workflows/lead-generation.mdreferences/workflows/real-estate-and-hospitality.mdreferences/workflows/review-analysis.mdreferences/workflows/social-media-analytics.mdreferences/workflows/trend-research.mdAutomates Apify Actor selection and execution for web data extraction from 55+ scrapers across platforms like Instagram and Facebook. Use for general scraping without specific tool choice.
Generates B2B/B2C leads by running Apify scrapers on Google Maps, websites, Instagram, TikTok, Facebook, LinkedIn, YouTube, and Google Search. Useful for building prospect lists and enriching contacts for sales outreach.
Mandates invoking relevant skills via tools before any response in coding sessions. Covers access, priorities, and adaptations for Claude Code, Copilot CLI, Gemini CLI.
Share bugs, ideas, or general feedback.
AI-driven data extraction from ~100 Actors across 15+ platforms via the Apify CLI.
Rules for every apify command:
--json for machine-readable output (stable across CLI versions).--user-agent apify-agent-skills/apify-ultimate-scraper for telemetry attribution.2>/dev/null (stderr contains progress messages that break JSON parsers).npm install -g apify-cli)If a CLI command fails with an auth error, authenticate using one of these methods:
apify login (opens browser)export APIFY_TOKEN=your_token_heresource .env (if the file contains APIFY_TOKEN=...)Generate token: https://console.apify.com/settings/integrations
Identify the target platform and use case. Read references/actor-index.md to find the right Actor.
If the task involves a multi-step pipeline, also read the matching workflow guide:
| Task involves... | Read |
|---|---|
| leads, contacts, emails, B2B | references/workflows/lead-generation.md |
| competitor, ads, pricing | references/workflows/competitive-intel.md |
| influencer, creator | references/workflows/influencer-vetting.md |
| brand, mentions, sentiment | references/workflows/brand-monitoring.md |
| reviews, ratings, reputation | references/workflows/review-analysis.md |
| SEO, SERP, crawl, content, RAG | references/workflows/content-and-seo.md |
| analytics, engagement, performance | references/workflows/social-media-analytics.md |
| trends, keywords, hashtags | references/workflows/trend-research.md |
| jobs, recruiting, candidates | references/workflows/job-market-and-recruitment.md |
| real estate, listings, hotels | references/workflows/real-estate-and-hospitality.md |
| price monitoring, e-commerce, products | references/workflows/ecommerce-price-monitoring.md |
| contact enrichment, email extraction | references/workflows/contact-enrichment.md |
| knowledge base, RAG, LLM data feed | references/workflows/knowledge-base-and-rag.md |
| company research, due diligence | references/workflows/company-research.md |
If no Actor matches in the index, search dynamically:
apify actors search "KEYWORDS" --user-agent apify-agent-skills/apify-ultimate-scraper --json --limit 10 2>/dev/null
From results: items[].username/items[].name (Actor ID), items[].title, items[].stats.totalUsers30Days, items[].currentPricingInfo.pricingModel.
Fetch the input schema dynamically:
apify actors info "ACTOR_ID" --user-agent apify-agent-skills/apify-ultimate-scraper --input --json 2>/dev/null
Also read references/gotchas.md to check for common pitfalls for the selected Actor.
For Actor documentation: apify actors info "ACTOR_ID" --user-agent apify-agent-skills/apify-ultimate-scraper --readme
Skip user preferences for simple lookups (e.g., "Nike's follower count"). Go straight to running with quick answer mode.
For larger tasks, confirm output format (quick answer / CSV / JSON) and result count.
Standard run (blocking):
apify actors call "ACTOR_ID" -i 'JSON_INPUT' --user-agent apify-agent-skills/apify-ultimate-scraper --json 2>/dev/null
From output: .id (run ID), .status, .defaultDatasetId, .stats.durationMillis
Fetch results:
apify datasets get-items DATASET_ID --user-agent apify-agent-skills/apify-ultimate-scraper --format json
For CSV: apify datasets get-items DATASET_ID --user-agent apify-agent-skills/apify-ultimate-scraper --format csv
Quick answer mode: Fetch results as JSON, pick top 5, present formatted in chat.
Save to file: Fetch results, use Write tool to save as YYYY-MM-DD_descriptive-name.csv or .json.
Large/long-running scrapes:
apify actors start "ACTOR_ID" -i 'JSON_INPUT' --user-agent apify-agent-skills/apify-ultimate-scraper --json 2>/dev/null
Poll: apify runs info RUN_ID --user-agent apify-agent-skills/apify-ultimate-scraper --json 2>/dev/null (check .status for SUCCEEDED).
Report: result count, file location (if saved), key data fields, and links:
https://console.apify.com/storage/datasets/DATASET_IDhttps://console.apify.com/actors/runs/RUN_IDFor multi-step workflows: suggest the next pipeline step from the workflow guide.
Common errors and pitfalls are documented in references/gotchas.md. Read it before running PPE (pay-per-event) Actors.