
Nick
harvestlabFocused Apify Actors for price monitoring, contact enrichment, app reviews, SERP tracking, and AI-ready data feeds.
Joined April 2026
ACTOR STATS
19 public Actors
152 total users
123 monthly users
95% runs succeeded
9.4 days issues response
Focused Apify Actors for clean web data feeds without maintaining scrapers.
Harvestlab builds practical data products for teams that need reliable public web data in a shape they can use immediately: price monitoring, contact enrichment, app review intelligence, SERP tracking, and launch monitoring. Each actor is designed for small first runs, structured exports, and optional AI-agent workflows through Apify MCP.
- Shopify price monitoring - track products, variants, stock, collections, and price drops.
- B2B contact enrichment - extract emails, phones, socials, and tech-stack signals.
- Google rank tracking - monitor SERP positions, snippets, People Also Ask, and alerts.
- YouTube transcript research - pull metadata and transcripts for RAG, briefs, and analysis.
- App review intelligence - collect iOS and Google Play reviews, ratings, and sentiment.
- Product launch monitoring - watch Product Hunt launches, makers, and breakout trends.
- Clean first run - copy-paste inputs, small defaults, and structured outputs.
- Pay-per-result ready - pricing is designed around useful records, not long runtimes.
- Graceful failure modes - blocked or empty runs return diagnostics.
- AI optional - bring your own OpenRouter, Anthropic, Google, OpenAI, or Ollama key when analysis is useful.
- Agent-friendly - outputs are ready for Apify MCP, Slack, Zapier, Make, and n8n.
- Shopify Price Drop Monitor - best low-cost e-commerce wedge.
- Website Contact Extractor - best B2B lead and enrichment workflow.
- Google Rank Tracker - best SEO monitoring and alert workflow.
- YouTube Transcript Scraper - best RAG and content-research workflow.
- App Store Review Scraper - best product and reputation-monitoring workflow.
For support, open an issue on the actor you are using. I prioritize reliability fixes and first-run usability issues.