Apify Ecommerce

Routes natural language questions about products, prices, reviews, and stores to the right scraping Actor across 30+ platforms. Built on top of Apify's CLI, it handles everything from Amazon bestseller queries to Shopify tech stack detection to DoorDash restaurant data. The workflow is methodical: detect intent, fetch the Actor schema, confirm output preferences with the user, run the job, then synthesize results. What stands out is the dual-Actor fallback system and the breadth of intents it covers, including less obvious ones like Facebook ad intelligence and Pinterest content discovery. Telemetry is baked in via a required user-agent flag. If you're building competitive intelligence dashboards or automating market research, this turns vague questions into structured data without needing to know which scraper does what.

skills.sh installs: 528
GitHub stars: 293
last updated: Aug 21, 2026

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Install

$ npx -y skills add apify/awesome-skills --skill apify-ecommerce --agent claude-code

Installs into .claude/skills of the current project.

Files

E-Commerce Cluster

Answer natural language e-commerce questions by routing to the right Apify Actor and delivering a synthesized answer via the apify CLI.

CLI rules: Always pass --user-agent apify-awesome-skills/apify-ecommerce, --json (or the relevant --format flag on datasets get-items), and 2>/dev/null. The --user-agent flag is critical for telemetry — never omit it.

Prerequisites

(No need to check it upfront)

Apify CLI v1.5.0+ (npm install -g apify-cli)
jq (recommended for quick extraction and filtering; brew install jq on macOS, apt install jq on Linux)
Authentication via one of:
- apify login (OAuth, opens browser)
- APIFY_TOKEN env variable (e.g. export APIFY_TOKEN=... or .env file)
- Token from Apify Console → Settings → Integrations