Matej Hamas

Turn any text into semantic embedding vectors — perfect for search, similarity matching, clustering, and recommendations. Just feed your texts as JSON or a URL and get 768-dimensional vectors back. Powered by nomic-embed-text-v1.5 with 8K token context. No GPU needed.

Extracts upcoming events from Luma calendars with full event page text. Supports multiple calendars, date range and city filters, and chronological sorting. Outputs event name, date, location, URL, and page content — ideal for event monitoring, discovery, and AI pipelines.

The Actor provides a deep, AI-powered analysis of specified aspects of the product taken from the relevant transcript of YouTube reviews.

Convert HTML string to A4 PDF.

Find the most hipster coffee shop near you. Drop your GPS coordinates and this actor discovers nearby open coffee shops via Google Maps, uses AI to rate their hipsterness based on reviews and vibe, and returns the top places ranked by a blend of hipster score, Google rating, and walking distance.

This is an example pay-per-event Actor. When running it, you don't pay for the underlying platform usage, just for the Actor start event, and trivia facts it generates.

Example PPE Actor featuring Apify Store discounts.

Scraping speakers from the Daytona Compute Conference (https://compute.daytona.io/).

Builds a similarity graph from vector embeddings. Fetches vectors from URLs, computes pairwise cosine similarities using optimized linear algebra, and connects each point to its K nearest neighbors - revealing hidden clusters and relationships in your high-dimensional data.