
Nick
10 focused Apify actors for buyer-ready web data: marketplaces, leads, transcripts, jobs, maps, launches, Reddit, and ads.
harvestlab.ai
Joined April 2026
ACTOR STATS
13 public Actors
672 total users
282 monthly users
93.7% runs succeeded
9.4 days issues response
10 focused public Apify actors for buyer-ready web data.
HarvestLab now keeps a smaller public Store surface: 10 pay-per-result actors with active demand, current run evidence, and clear first-run paths. Use them for marketplace research, B2B leads, transcripts, job-market signals, EU local business discovery, launch monitoring, Reddit research, and ad-library intelligence. Parked experiments stay private until reliability, demand, and unit economics justify republication.
- Website Contact Extractor - B2B lead and CRM enrichment from public websites.
- Amazon Product Scraper - seller research, pricing, ASIN, and product monitoring.
- eBay Product Scraper - listing and sold-market research when live output is healthy.
- YouTube Scraper - video metadata, transcripts, comments, and content research.
- Facebook Ads Library Scraper - ad-library intelligence; Graph API access is best for production.
- Indeed Job Scraper - job listings and hiring-market snapshots.
- Bol.com Scraper - NL/BE product and price tracking; API credentials improve reliability.
- Google Maps EU Business Leads - low-cost European local business discovery.
- Product Hunt Scraper - launch monitoring and product-trend discovery.
- Reddit Scraper - public post, comment, and community research.
- Pay per result - pricing is designed around useful records, not long runtimes.
- Small first runs - defaults are tuned for low-cost validation.
- Diagnostics over silence - blocked or empty runs return actionable diagnostic rows when possible.
- AI optional - bring your own LLM key when summaries, scoring, or classification help.
- Managed upgrades - use harvestlab.ai for custom schemas, auth, volume planning, and maintained feeds.
For support, open an issue on the actor you are using. I prioritize current-build failures, empty-result regressions, and first-run usability issues.