scraping automation

Apify Runtime develops Actors for web scraping, data extraction, and workflow automation, serving industries that depend on accurate and timely data. Each Actor delivers structured information that integrates seamlessly into analytics pipelines, SEO workflows, and AI-driven systems. With a background in app development and creative production, Runtime designs solutions that are technically reliable and business-ready.

Key Actors include the Product Hunt Scraper, helping entrepreneurs and analysts monitor startups; the CNN Top Headlines Scraper, used by media outlets and researchers to track global news; and the Starbucks Store Locator and H&M Store List Scraper, valuable for retail and geolocation insights. For journalism and publishing, the Patch USA News Scraper gathers articles with metadata and images, while the DuckDuckGo Search Scraper supports SEO specialists with multi-mode searches, batch processing, and anti-detection features.

Beyond standalone scraping, Runtime’s Actors support AI automation and integration with platforms like Make.com, Zapier, and n8n. This allows businesses to connect real-time web data directly into automated workflows, powering chatbots, recommendation engines, marketing dashboards, and machine learning models. By combining Apify Actors with workflow automation, organizations can streamline SEO research, e-commerce monitoring, trend detection, and training data preparation for LLMs.

Apify Runtime’s portfolio addresses the needs of technology, retail, e-commerce, media, journalism, digital marketing, and AI development. By focusing on automation, integration, and scalability, Runtime helps transform raw web data into actionable intelligence. Whether you are a developer, marketer, or data scientist, these Actors offer a bridge between the web and your AI-powered workflows, enabling smarter decisions and faster innovation.