An AI system that scrapes information about an upcoming event (e.g., concert, conference) from a webpage, then uses that information (date, time, performers, venue) to automatically generate a series of promotional posters and social media graphics in various formats.
Music venues, festivals and conference organisers announce new events constantly, and each one needs a poster, Instagram stories, a Facebook event banner and more. Designers or marketing staff rebuild the same layout repeatedly, typing in dates, performers and venue details, which is slow and invites mistakes such as a wrong date or misspelt name. Smaller venues often cannot afford a designer for every show, so promotion suffers.
An AI event poster generator automates much of that production. It reads event details from your own events page or ticketing feed, extracts the date, time, performers and venue with an LLM, and produces a set of graphics from brand templates, optionally with AI-generated background imagery. A person checks every graphic before it is published, ensuring facts, artist images and branding are correct.
A tool monitors your own events page or ticketing platform feed, using an API where available or a scraper such as Beautiful Soup for pages you control.
When a new event appears, an LLM extracts the event name, date, time, performers, venue, ticket link and any age restrictions into structured data.
A templating engine places these details into brand templates for posters, stories, feed posts and banners in each required size.
Background or supporting imagery is generated with Stable Diffusion or ChatGPT image generation from prompts matching the event genre, or approved press photos are used.
Marketing staff review each graphic for accuracy and approve it before posting or printing.
A music venue uses an AI tool that monitors its events page. When a new concert is added, the tool scrapes the details and generates a set of Instagram stories, a Facebook event banner, and a printable poster using a consistent brand template, all within minutes.
Web Scraping (Beautiful Soup, Scrapy), LLM for data extraction, Image Generation AI (Stable Diffusion, ChatGPT image generation), Templating engine
Scrape only your own site or feeds you have permission to use; pulling details from third-party ticketing or artist sites may breach their terms of service and the Copyright Act 1968. Use artist photos and logos only with permission from the artist or promoter, and do not generate AI images that imitate a real performer's likeness, which could mislead fans under the Australian Consumer Law. Event details such as prices, dates and age restrictions must be accurate. Posts on social platforms should follow platform rules for AI-generated content labels where they apply. Licensed venues should check liquor licensing conditions for promotional material.
This solution requires careful evaluation of cost-benefit ratio. Consider implementation only after thorough analysis and risk assessment.
It should be used with your own events page or a ticketing platform that provides an API or feed you are permitted to use. Scraping other websites can breach their terms and copyright. Most ticketing platforms popular with Australian venues provide event data exports or integrations that are more reliable than scraping.
The quality mostly depends on the templates. A designer creates a set of strong, on-brand templates once, and the system fills them with event details. AI-generated backgrounds add variety, but text and layout come from the templates, which keeps branding consistent and avoids the distorted text that image generators often produce.
Time goes into designing templates for every format, building the extraction and rendering pipeline, testing image generation prompts that suit your events, setting up the review workflow and testing with real events. Venues with consistent event data and existing templates can move faster.
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