Runtime builds Apify Actors that turn public web data into clean, structured datasets: leads, pain points, competitor signals, content trends and event lists. Outputs have stable schemas, ready for dashboards, CRMs, SEO workflows and AI pipelines. Most Actors are pay per result.

• Reddit Scraper for Leads & Pain Points: posts, comments, communities and profiles for lead discovery and social listening.
• YouTube Channel Video Scraper Lite: videos, dates and views across multiple channels.
• YouTube Channel Scraper: comments, transcripts and engagement metrics.
• Product Hunt Scraper: launches, makers, votes and startup trends.
• 10times Events Scraper: trade shows and conferences with lead scores.
• Content, Jobs and News & Competitor Monitoring bundles: several sources in one scored, AI-ready dataset.

Run them from the API, Make, Zapier, n8n, schedules or webhooks, and read the results from datasets and key-value stores.

You can also use them from AI assistants through the Apify MCP server : connect it to Claude, Cursor, VS Code or any MCP client, add an Actor, and ask in plain language, for example "find 50 fashion brands on Linktree with a public email".

Need higher limits, custom fields or a dedicated workflow? Open an issue on any Actor page and we will reply.