Y
Yulia Dmitrievna
Guest
What I Built
As an independent musician, I spend a lot of time on manual search for venues. Scrolling through websites and looking for contact data takes a lot of time needed for creative work. I built an AI-powered venue discovery tool that analyses musician and venue websites and automatically finds performance opportunities.
The n8n workflow is available at: https://gist.github.com/yulia-n8n/e790102fdcb6af5fc9dbf5a31886290d
The Airtable is publicly shared: https://airtable.com/appfBx8WBRfqCvLab/shrTQd0xYMt5jtG55
The video will be uploaded soon.
What does it do?
The n8n music event aggregator is tool that:
β’ Scrapes concert pages from musician and venue websites using Bright Data
β’ Uses n8n AI agent node to extract venue names, locations, dates, and contact information
β’ Automatically discovers new musicians and venues from the extracted data
β’ Builds a powerful database of performance opportunities
β’ Removes duplicates through intelligent AI comparison
β’ Runs continuously on scheduled triggers to keep the database fresh
*This tool aims to solve the core problem every independent musician faces: finding venues is time-consuming manual work that takes time away from creating music. *
Technical Implementation
The agent consists of three workflows:
Core venue extraction pipeline
- Trigger: Manual start or run on schedule
- Data Source: Airtable databases for Musicians and Venues with "Pending" status
- Web Scraping: Bright Data extracts raw HTML from concert/event pages
- AI Processing: Claude 3.7 Sonnet analyzes content using structured output parsing
- Database Storage: Venue opportunities saved to "Extracted Events" table
Smart Deduplication System
- AI Comparison: LLM compares new discoveries against existing database
- Duplicate Detection: Handles variations in spelling, formatting, and venue names
- Auto-Creation: New musicians/venues automatically added with "New" status
- Status Tracking: Processed sources marked as "Completed" to prevent reprocessing
Source Discovery Automation
- Google Search Integration: SerpApi finds concert pages for new musicians/venues
- URL Collection: Event page URLs automatically added to database records
- Status Updates: Sources moved from "New" to "Pending" for processing
- Continuous Loop: System continuously discovers and processes new opportunities
AI Model Configuration
β’ Model: Claude 3.7 Sonnet via OpenRouter
β’ Temperature: 0.1 for
β’ Output Format: Structured JSON schema with defined fields
β’ System Instructions: Optimized for venue/contact information extraction
Bright Data Verified Node
Bright Data node handles web scraping of event webpages for further AI specific data extraction.
Inspiration
Like most independent musicians, I spend more time booking gigs than making music. Each venue requires individual research - finding their event calendar, understanding their booking process, identifying the right contact person.
This tool is aimed to solve my personal problem while potentially creating a pipeline that scales to help other independent musicians. Instead of spending weekends researching venues, artists would spend them writing songs. A database would constantly update performance opportunities.
Continue reading...
