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Scraping Automation
Scalable web scrapers and clean real-time data workflows
@abstraktion
Target Audience
About Scraping Automation
Runtime — Production-grade Apify Actors
Runtime builds reliable Apify Actors for web scraping, data extraction, and automation, designed for teams that rely on accurate, real-time web data.
Actors deliver clean, structured outputs ready for analytics, SEO workflows, dashboards, and AI systems. Built with a strong focus on scalability, integration, and production use, Runtime Actors go beyond one-off scraping.
Key Actors
Product Hunt Scraper — Track new launches and tech trends
Reddit Scraper (Posts & Comments) — Monitor subreddits, keywords, trends, and real user sentiment
YouTube Channel & Comments Scrapers — Analyze videos, metrics, and user feedback
CNN & Patch News Scrapers — Structured, real-time news data
Retail Store Scrapers (Starbucks, H&M) — Location and competitor intelligence
DuckDuckGo Search Scraper — SEO research with batch queries and anti-detection logic
Built for automation
Runtime Actors integrate with Make, Zapier, n8n, and webhooks, powering dashboards, market monitoring, chatbots, and AI pipelines.
👉 Browse the public Actors below.
👉 Need custom features, higher limits, or improvements? Open an issue to discuss.
Product Insights
Scraping Automation provides production-grade Apify Actors for extracting structured real-time data across social media, search engines, and retail sites. These tools are built for seamless integration with automation platforms to support data-driven analytics and AI pipelines.
- Supports specialized scraping for Product Hunt, Reddit, YouTube, and news outlets.
- Integrated with major workflow tools including Make, Zapier, n8n, and webhooks.
- Features built-in anti-detection logic for DuckDuckGo and SEO research tasks.
- Available via Web and API platforms to handle scalable data extraction.
Ideal for: Data Scientists, Growth Hackers, and Developers who need structured web data for sentiment analysis, competitor intelligence, and automated SEO workflows.
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