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crawlora-net/streaming-fragmentation

Streaming Fragmentation Index — data Where the most-watched movies and TV shows in the US actually stream — and how scattered, exclusive, and expensive that has become. Two open snapshots (June 2026): Popular-100 — the 100 most-popular titles (top 50 movies + 50 shows), the demand-weighted head of the market. Broad ~5,000 — a 5,047-title cross-section pulled across every genre and decade. It is the dataset behind the Crawlora study "How Many Streaming Subscriptions Do You Need… See the full description on the dataset page: https://huggingface.co/datasets/crawlora-net/streaming-fragmentation.

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Dataset Card

Streaming Fragmentation Index — data

Where the most-watched movies and TV shows in the US actually stream — and how scattered, exclusive, and expensive that has become. Two open snapshots (June 2026):

  • —Popular-100 — the 100 most-popular titles (top 50 movies + 50 shows), the demand-weighted head of the market.
  • —Broad ~5,000 — a 5,047-title cross-section pulled across every genre and decade.

It is the dataset behind the Crawlora study ["How Many Streaming Subscriptions Do You Need in 2026?"](https://crawlora.net/blog/streaming-fragmentation-2026?utm_source=huggingface&utm_medium=referral&utm_campaign=streaming-fragmentation-2026). Every title's full list of ways-to-watch (offers) was pulled via Crawlora's JustWatch endpoints and each offer mapped to the service behind it.

Files

filerowsdescription
data/popular-titles.csv100per-title availability for the 100 most-popular US titles
data/broad-titles.csv5,047per-title availability for the ~5,000-title cross-section
data/popular-summary.json—aggregates for popular-100 (fragmentation, exclusivity, monetization, overlap, cost)
data/broad-summary.json—aggregates for the broad corpus

CSV schema (one row per title)

columnmeaning
idJustWatch title id (tm… movie / ts… show)
title, year, typetitle, release year, movie or show
num_subscription_services# of distinct standalone streaming services carrying it
has_subscriptionon ≥1 subscription service
exclusiveon exactly one subscription service
rent_buy_onlyno subscription — rent/buy only
cinema_onlyno subscription/rent/buy — in theaters only
subscription_servicespipe-joined service brands (standalone OTT; ad-tier/quality/reseller variants collapsed to parent)
monetization_typespipe-joined offer types seen (FLATRATE/ADS/RENT/BUY/FREE/FAST/CINEMA)

Headline findings (June 2026, US)

Popular-100

  • —14 distinct streaming services carry the 100 most-popular titles; you'd need 11 subscriptions to watch all 74 that are on a subscription — and 26 of 100 aren't on any subscription (rent/buy or still in theaters).
  • —The Big Four (Netflix, Disney+, Max, Prime Video) cover 51%. 51% of titles are exclusive to a single service.
  • —All 11 services ad-free ≈ $152/mo (~$1,829/yr); even the Big Four ad-free ≈ $70/mo.
  • —Shows 98% on a subscription vs movies 50% (the movie gap is new-theatrical release-window timing).

Broad ~5,000

  • —Content scatters across 93 distinct streaming services; 60.7% of titles are exclusive to one. A concentrated head (6 services cover 80% of what's streamable) and a very long tail (65 services to cover all of it).
  • —Netflix dominates exclusives — 1,220, more than the next four services combined. Big Four cover 59.5%.
  • —Movies 70% / shows 89% on a subscription; ~21% on no subscription.

Method (brief)

For each title, JustWatch offers were pulled — justwatch_popular for the head; justwatch_discover fanned across genre × year for the cross-section (each call ≤50 results, no offset, deduped by id). Each offer's provider is classified into a service class — standalone OTT subscription / live-TV bundle (vMVPD) / free ad-supported channel (FAST) / single-network cable-login app / rent-buy store (TVOD) / cinema — and ad-tier, quality (SD/HD/4K), and reseller-channel ("… Apple TV/Amazon Channel") variants are collapsed to the parent brand. "Subscriptions needed" counts only standalone retail streaming services; a greedy set-cover gives the fewest services to reach 50/80/100% of the streamable titles. Subscription prices are US list prices (mid-2026), the one input not from JustWatch. The data comes from Crawlora's JustWatch API; the study writeup documents the full method.

Caveats

  • —Point-in-time snapshot (June 2026), US storefront — offers change weekly and by country.
  • —Popularity-stratified, not a census — the broad corpus is the popular head across genres and decades, so every concentration figure is a floor; the true long tail is even more fragmented.
  • —The movie / no-subscription gap is largely release-window timing (new theatrical), not permanent lock-out.
  • —~29 obscure/regional providers in the broad corpus are left unclassified (they appear in the data and affect a small number of titles).
  • —Subscription prices are hand-maintained list prices; treat dollar figures as current-as-of-June-2026.
  • —No quality claim — only where, and at what cost, you can watch what's popular.

How to cite

This repo ships a `CITATION.cff`, so GitHub shows a "Cite this repository" button. Plain text:

Crawlora (2026). Crawlora Streaming Fragmentation Index: where the most-popular US titles stream (v1.0.0) [Data set]. https://github.com/Crawlora-org/streaming-fragmentation-data

Data collection & ethics

  • —Public availability metadata only. Each record is the public "where to watch" listing for a title — the same information a viewer sees. No page content is republished and no authentication was bypassed.
  • —No personal data — titles, services, prices, and availability flags only.
  • —Point-in-time. Treat as a snapshot, not a live availability feed.

License

Data is licensed CC BY 4.0 — free to use, share and adapt with attribution to Crawlora (https://crawlora.net), a link to this repository, and an indication of changes. See `LICENSE`. Generated with Crawlora's JustWatch API.