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Nick

harvestlab

Structured web data feeds: contact enrichment, marketplace prices, SERP tracking, transcripts, and managed feed upgrades.

ACTOR STATS

19 public Actors

319 total users

269 monthly users

>99% runs succeeded

9.4 days issues response

harvestlab

Public Apify actors first; managed feeds when your workflow needs more.

HarvestLab turns public web sources into structured data feeds. Start self-serve with pay-per-result actors for contact enrichment, Amazon price monitoring, YouTube transcripts, Shopify catalog tracking, and Google rank monitoring. When you need custom schemas, auth, enrichment, volume planning, or feed maintenance, request a managed feed at harvestlab.ai.

Start here

  • Website Contact Extractor - best B2B lead and CRM enrichment workflow.
  • Amazon Product Scraper - best seller research and price-monitoring workflow.
  • YouTube Transcript Scraper - best transcript, citation, and content-ingestion workflow.
  • Shopify Product Scraper - best Shopify catalog and price-watch workflow.
  • Google Maps EU Business Leads - best low-cost local lead-discovery workflow.

Best-fit workflows

  • B2B contact enrichment - extract emails, phones, socials, and tech-stack signals.
  • Marketplace monitoring - track Amazon and Shopify first; use eBay only after real listing output is healthy.
  • Google rank tracking - monitor SERP positions, snippets, People Also Ask, and alerts.
  • YouTube transcript research - pull metadata and transcripts for briefs and retrieval.
  • App review intelligence - collect iOS and Google Play reviews, ratings, and sentiment.

How the actors are built

  • 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 LLM key when summaries, scoring, or classification help.
  • Managed upgrade path - use harvestlab.ai for custom schemas, auth, volume, and enrichment.

For support, open an issue on the actor you are using. I prioritize reliability fixes and first-run usability issues.

Public Actors