Reelgood Streaming Data Solution Updates [Feb 2026]

For prior Reelgood streaming data solution updates, please refer to our Dec 2025 post.

Product Improvements & New Offerings

At Reelgood, providing the most accurate and comprehensive TV & movie metadata and streaming title availability data is our primary focus.

Reelgood indexes 280,000+ movies and over 69,000 TV shows globally.  That’s a job in itself.  

But critically, this content moves to and from different services constantly.  And new content is continually being released, from the latest blockbusters and indie films to new episodes of TV shows – and new TV shows themselves – dropping daily.

Our Data Collection, Machine Learning, Analytics and Data Quality teams are updating and maintaining this dataset continually.  

Here’s a quick snapshot of what’s new across the platform. We’ve focused on accuracy, coverage, and global expansion, so your teams have cleaner, more complete data every day.

TV & Movie Metadata Improvement

  • Taxonomy quality and coverage improvements

We improved genre and tag (i.e., sub-genre or keyword) coverage across Reelgood’s movie and TV catalog – especially for titles that previously had little or no taxonomy – while also removing incorrect assignments and refining existing ones for consistency. In addition, we improved ‘tag order’ for improved relevancy.

We did this by using title, description, release date, and taxonomy signals from streaming services, combined with our machine learning (ML) models trained to clean, normalize, and optimize taxonomy labeling at scale.

We reviewed our entire catalog in a single day with our ML-powered automation and analysis technology (vastly superior to doing this manually, as legacy providers typically do). Through this refinement process to our architecture, we increased both metadata coverage and improved overall taxonomy coverage, quality and relevance.

Importantly, our flexible taxonomy architecture lets us review/update our catalog on demand with any changes needed to our taxonomy.

For example,

    • Movie genre coverage increased: 95% ➜ 99%
    • Movie tag coverage increased: 38% ➜ 99%
    • Movie tag quality increased:
      • Challengers
        • Prior tags: (sports, mature, friendship)
        • Current tags: (sports, mature, friendship, dating)
      • The Dark Crystal
        • Prior tags: (supernatural, alien)
        • Current tags: (magic, alien)
    • TV show genre coverage increased: 91% ➜ 97%
    • TV show tag  coverage increased: 33% ➜ 96%
    • TV show tag quality increased:

      • The Walking Dead: Daryl Dixon
        • Prior tags: (futuristic, zombie, apocalypse)
        • Current tags: (zombie, apocalypse, survival, monster)
Reelgood metadata taxonomy tagging

AI-generated visualization based on original promotional artwork, showing example content tagging outputs.

Streaming Service Updates

  • Since December 9, 2025, Hulu (via Disney+) has been supported as a separate source ID in the U.S. This is in addition to the existing Disney+ and Hulu standalone services, and anticipates the planned integration of Hulu and Disney+ in 2026.

Quality & Coverage Improvements

  • Ongoing historical data corrections continue.

 

Prior Data Solution Updates

Below are when a number of prior updates were released to Reelgood customers:

December 2025

Quality and Coverage Improvements

  • WikiID matching: Movie coverage increased 11%, now at 84% for top titles. 
  • Episode normalization: All fractional episode numbers (e.g., 1.1) have been corrected. Episode numbers are now fully standardized as integers across the database.
  • Streaming service links improved accuracy: A new system correctly chooses between ambiguous links to the same piece of content on the same streaming service (e.g., link to the main version vs a sing-along version).

Streaming Service Updates

  • Apple TV branding: Updated “AppleTV+” to “Apple TV” to reflect Apple’s current naming.
  • Fox One: Added support for Fox One following the deprecation of Fox Now.

TV Metadata Improvements

  • Eliminating duplicate episodes: We released an upgraded ML model that applies a much finer-tooth comb to our episode data. It surfaced duplicates that earlier versions missed, and we’ve already eliminated those. The model now runs QA continuously in the background; with ongoing refinements, we’ll keep catching/addressing any remaining edge cases.

New Countries

We aimed to complete global coverage by year-end and delivered.

Reelgood streaming global coverage map

  • We now cover: US, Great Britain, Ireland, Canada, Australia, New Zealand, France, Italy, Germany, Spain, Argentina, Mexico, Brazil, India (with Japan and South Korea in development)
  • Historical availability launched for India and Ireland.
    • This supplements our existing historical streaming availability coverage for: 
      • US: since Sep 2019
      • Great Britain: since Sep 2020
      • Canada: since Feb 2023
      • Australia: since Feb 2023
      • New Zealand: since Feb 2023
      • India: since Nov 2025
      • Ireland: since Nov 2025
    • We will be rolling out historical coverage for more countries in 2026! Next scheduled are Spain and France.

 

Nov 2025

  • Improved Source Link Selection: We’ve implemented logic to prioritize the primary link for each title in Reelgood. Previously, when multiple links existed (e.g., a main link and a sing-along version), the selection was random. The system now consistently selects the main link as the default in Reelgood.
  • Fractional Episodes Removed: All fractional episode numbers (e.g., 1.1) have been corrected. Episode numbers are now standardized as integers across our database.
  • Ongoing Fix: Episode Release Date Issues
    We’ve begun addressing cases where episodes had earlier release dates than the first episode of their season. The issue affected ~13K seasons initially and has been reduced to 9.6K. Work is ongoing.
  • Deletion of ~2,000 duplicate episodes. Work is ongoing.

How to Manage your TV & Movie Metadata

Is your metadata and title availability solution comprehensive, accurate – and continually maintained and updated? Struggling with duplicate content and out-of-date information?  See how you can eliminate your streaming data frustrations; reach out and let’s explore how Reelgood can bring machine learning level speed and accuracy to your operation.