Open data

Name: Regional Price Index: Multi-Channel Digital Subscription Prices by Country
Creator: RegionalPriceIndex.com

Observed local list prices of 15 digital subscriptions, games and devices (21 plan tiers) across 18 storefronts on App Store, direct web and Steam, with FX-converted USD, landed cost adjusted only by observed gift-card reseller premiums, official gift-card availability, IMF PPP and work-hour affordability (GNI per capita), and a verification tier.

Price rows: 351
Observed: 351
History points: 351
Snapshot: Oct 20, 2026
License: CC BY 4.0

Downloads

prices.csv
One row per product × plan × storefront × channel × billing cycle.
text/csv
countries.csv
Storefront metadata: index score, tax, gift cards, IMF PPP rate, postal formats.
text/csv
history.csv
Observed price change log with USD value at the time.
text/csv
dataset.json
Everything above plus per-product summaries; filterable with ?product=&country=&channel=&cycle=&verified=1.
application/json
datapackage.json
Frictionless Tabular Data Package manifest.
application/json
.zenodo.json
Zenodo deposit metadata (GitHub release → DOI).
application/json
dataset-metadata.json
Kaggle dataset metadata for `kaggle datasets version`.
application/json
llms-full.txt
Full Markdown corpus for AI answer engines.
text/markdown

Cite this dataset

RegionalPriceIndex.com (2026). Regional Price Index: Multi-Channel Digital Subscription Prices by Country. Version 2026.10.20. https://regionalpriceindex.com/open-data/

@dataset{regionalpriceindex_2026,
  author    = {{RegionalPriceIndex.com}},
  title     = {Regional Price Index: Multi-Channel Digital Subscription Prices by Country},
  year      = {2026},
  version   = {2026.10.20},
  publisher = {RegionalPriceIndex.com},
  url       = {https://regionalpriceindex.com/open-data/},
  note      = {Licensed CC BY 4.0}
}

Monthly releases are built by scripts/export_open_data.py and deposited to Zenodo (citable DOI per version) and Kaggle from the same datapackage.json, .zenodo.json and dataset-metadata.json.

API

curl "https://regionalpriceindex.com/api/dataset.json?product=chatgpt&country=india&verified=1" \
  | jq '.prices[] | {plan_id, channel, local_price, currency, landed_usd}'

CORS-enabled JSON, cached at the edge for an hour, no key required. Add history=1 for the price change log.

Field dictionary: prices.csv

Field	Type	Description
product_slug	string	Product identifier (URL slug)
product_name	string	Product display name
plan_id	string	Plan tier identifier, e.g. plus, pro, 2tb
plan_name	string	Plan tier display name
category	string	ai \| streaming \| productivity \| cloud \| steam \| apple
billing_cycle	string	monthly \| annual \| one_time
country_code	string	ISO 3166-1 alpha-2 storefront
country_slug	string	Country URL slug
channel	string	ios \| play \| web \| steam
local_price	number	List price in the billing currency
currency	string	ISO 4217 billing currency
fx_rate	number	Units of currency per USD at snapshot
spot_usd	number	local_price / fx_rate
landed_usd	number	spot_usd × (1 + observed reseller premium) on gift-card routes with an observed listing; otherwise spot_usd. No tax added
savings_vs_us	number	1 − landed_usd / lowest US list price (same plan and cycle)
spread_vs_us	number	spot_usd / lowest US list price − 1
work_hours	number	Hours of GNI per capita per month of use (or per purchase): spot / (GNI per capita / 2000)
ppp_intl_usd	number	Local price per month of use (or per purchase) ÷ IMF implied PPP conversion rate
payment_route	string	gift_card (official gift cards; Steam: resold wallet codes) \| store_payment (no gift cards) \| web_checkout (vendor checkout)
verification_tier	string	purchase_tested \| checkout_checked \| source_verified \| observed
is_best_channel	boolean	Cheapest landed channel for this plan in this storefront
observed_at	date	Date the price was observed
source_url	string	Where the price was read