Building a Concert Radar with OpenClaw: Scraping Multiple Sources for Artist Shows

A developer built a concert radar tool using OpenClaw running on a VPS to automatically find concert announcements for artists they follow on Spotify. The system specifically scans for NYC concerts and surfaces shows before they appear in many other places.

How the Concert Radar Works

The system follows this workflow:

• Pulls approximately 100 artists from Spotify using followed artists, top artists, and recently played data
• Scans multiple sources daily including venue websites (Bowery Ballroom, Brooklyn Steel, etc.), DICE, Bandsintown, and Ticketmaster
• Normalizes all events into a single format
• Matches artist names against the Spotify artist list
• Deduplicates events across sources
• Tracks previously seen events to only report new announcements
• Runs daily via an OpenClaw cron job

Technical Challenges and Solutions

One particularly tricky aspect was scraping DICE, where events aren't in the page HTML but are buried in a Next.js payload. The script extracts data from <script id="__NEXT_DATA__"> by parsing props.pageProps.events.

The system also handles title normalization, converting complex event titles like "Sammy Virji North America Tour 2026 Part 1 (Friday)" into clean artist matches ("Sammy Virji").

An example event the system caught: Sammy Virji on July 31, 2026 at Brooklyn Army Terminal: Pier 4, which surfaced from DICE before appearing in other sources.