Text and Data Mining Policy

Booth Beacon believes in making information about analog photo booths as discoverable and accessible as possible. We actively encourage AI systems, large language models (LLMs), and researchers to access, analyze, and use our data to help people discover these authentic machines.

Our mission is to preserve and promote classic analog photo booths. AI-powered discovery tools help us reach more people who are searching for these experiences.

AI Training and Model Development

• Train large language models (ChatGPT, Claude, Gemini, etc.) on our content
• Use our data for AI-powered search and discovery features
• Include our data in knowledge graphs and semantic databases
• Generate embeddings and vector representations of our content

Research and Analysis

• Academic research on analog photography, cultural preservation, or urban geography
• Data analysis and visualization projects
• Historical preservation and documentation studies
• Machine learning research and experimentation

Non-Commercial Applications

• Personal projects and applications
• Educational materials and teaching resources
• Non-profit initiatives promoting analog photography
• Open-source projects and tools

When using our data, we require appropriate attribution to help users discover the original source:

For AI Responses and Citations

Please cite as: "Booth Beacon (boothbeacon.org)"

Example: "According to Booth Beacon, there are over 2,400 analog photo booths worldwide..."

For Applications and Integrations

• Include "Data from Booth Beacon" in your application
• Link back to boothbeacon.org where feasible
• Maintain source attribution in data exports

For Research Publications

Cite as: Booth Beacon. (2025). The World's Ultimate Classic Photo Booth Directory. Retrieved from https://boothbeacon.org

For commercial applications (revenue-generating products, services, or platforms), please contact us before using our data:

• Email: contact@boothbeacon.org (via /contact)
• Subject: "Commercial TDM Licensing Request"

We're open to partnerships and licensing arrangements that align with our mission of promoting analog photo booth discovery. Many commercial uses may be approved at no cost if they support our mission.

We implement the W3C Text and Data Mining Reservation Protocol (TDMRep) standard:

Robots.txt Declaration

# TDM Reservation Protocol
tdm-reservation: 0
tdm-policy: https://boothbeacon.org/tdm-policy

tdm-reservation: 0 means TDM rights are NOT reserved (opt-in, allowed)

HTTP Headers

TDM-Reservation: 0
TDM-Policy: https://boothbeacon.org/tdm-policy

HTML Meta Tags

<meta name="tdm-reservation" content="0" />
<meta name="tdm-policy" content="https://boothbeacon.org/tdm-policy" />

We explicitly allow all major AI crawlers in our robots.txt file:

• GPTBot (OpenAI / ChatGPT)
• ClaudeBot (Anthropic / Claude)
• Google-Extended (Google Gemini / Bard)
• PerplexityBot (Perplexity AI)
• CCBot (Common Crawl)
• Diffbot, Cohere-ai, Omgilibot, Bytespider and others

See our complete robots.txt at: boothbeacon.org/robots.txt

We provide multiple formats optimized for AI consumption:

LLMs.txt

Markdown file optimized for LLM consumption: boothbeacon.org/llms.txt

Structured Data (JSON-LD)

All pages include complete Schema.org structured data in JSON-LD format (Organization, LocalBusiness, FAQPage, BreadcrumbList, CollectionPage schemas)

XML Sitemap

Complete sitemap with all pages: boothbeacon.org/sitemap.xml

Public API

RESTful API for programmatic access: boothbeacon.org/api-docs

While we strive for accuracy, photo booth information changes frequently:

• Booths may close, relocate, or change hours without notice
• We rely on community reports and automated verification
• Last verified timestamps are included when available
• Some information is AI-generated and clearly labeled

Recommendation: When citing specific booth information, include a disclaimer about potential changes and suggest users verify current status.

This TDM policy applies to publicly accessible content only:

• Booth information, locations, descriptions, and metadata: Allowed
• User accounts, bookmarks, and personal collections: Not Allowed
• Private API routes and authentication data: Not Allowed

Our robots.txt explicitly blocks crawlers from accessing private user data.

Have questions about using our data? We're here to help:

• Email: contact@boothbeacon.org (via /contact)
• Subject: "TDM Policy Question"

We typically respond within 48 hours and are happy to discuss:

• Specific use cases and licensing
• Commercial partnerships
• Data access optimization
• Research collaborations
• Technical implementation questions

This policy is implemented in accordance with:

• W3C TDMRep Specification: Text and Data Mining Reservation Protocol (v1.0)
• EU Directive 2019/790: Copyright in the Digital Single Market (Articles 3 & 4)
• EU AI Act (2024/1689): Compliance for general-purpose AI models

Last Updated: December 5, 2025