dsh-chatgpt-price

ChatGPT 各国订阅价格看板 — a DeepSeek Harness plugin that keeps a daily-refreshed table of what ChatGPT costs in each country's App Store (Go / Plus / Pro 100 / Pro 200 / Pro 500), converted to CNY at 7.2 CNY/USD and to USD, with a day-over-day change mark, plan selection and per-plan sorting.

What it does

Source	apps.apple.com/{storefront}/app/chatgpt/id6448311069 — public, fast, tax-inclusive in-app prices
Plans	Go · Plus · Pro 100 · Pro 200 · Pro 500 (consumables such as N Credits are dropped)
Regions	21 storefronts by default; HK / CN report "not sold there" instead of a fake price
Conversion	local → USD (FX snapshot) → CNY (cnyPerUsd, default 7.2)
Refresh	once a day at refreshHour in timeZone, plus a boot refresh when the cache is older than 20 h
UI	a Settings page, plus an optional dsh-better-sidebar tab
Agent tools	chatgpt_price_board, refresh_chatgpt_prices

界面用法

• 顶部档位按钮（Go / Plus / Pro 100 / Pro 200 / Pro 500）就是「当前档位」选择器： 摘要行的最低/最高/价差、相对美国列以及所有排序都按选中档位计算；再点一次已选 档位即回到「全部档位」，列出所有列。
• 「排序」下拉：默认顺序 / 价格从低到高 / 价格从高到低 / 相对美国从低到高。没取到 价格的地区始终排在最后，选择会被记住。
• 当前档位里最便宜的一格标「最便宜」，行首 # 是当前排序下的名次。

Why the App Store and not chatgpt.com

chatgpt.com/pricing renders its price numbers client-side: the server HTML contains plan cards with an empty price span, and the page is byte-identical for every ?country=. /backend-api/payments/checkout/prices answers 404. The App Store product page, in contrast, is public, fast and embeds every in-app purchase as a leadingText / trailingText pair ("ChatGPT Plus" → "¥3,000"). Two caveats the parser handles:

• consumable rows (100 Credits …) are not plans and are dropped;
• the list contains a duplicate ChatGPT Plus row carrying the Pro-200 price, so duplicates are resolved to the lowest amount.

Hong Kong and mainland China storefronts return 404 (the app is not sold there); those regions are reported as unavailable instead of being silently missing.

Install

The bundle is a normal file package; install the directory, not a tarball:

git clone https://github.com/chaolee111/dsh-chatgpt-price.git
dsh plugin --profile desktop add ./dsh-chatgpt-price

or from the Harness UI: Settings → Plugins → install bundle, choosing this folder. The bundle patch inserts one host row (id: chatgpt-price). Restart the app to mount it.

Config

Override the row in the profile's cordis.patch.yml (a patch replaces the whole config, so restate every key you keep):

- id: chatgpt-price
  config:
    regions: [US, JP, TW, SG, IN, GB, DE, BR, TR, AU]
    cnyPerUsd: 7.2
    refreshHour: 9
    timeZone: Asia/Shanghai

key	default	meaning
regions	21 storefronts	App Store storefront codes to track
cnyPerUsd	7.2	CNY per USD used for the ¥ column (OpenAI's own rate)
timeZone / refreshHour	Asia/Shanghai / 9	when the daily refresh happens
rateSources	open.er-api → exchangerate-api → frankfurter	FX providers, tried in order
requestTimeoutMs	20000	per-request timeout
concurrency / requestsPerSecond	4 / 6	politeness limits
autoRefreshOnBoot	true	refresh at startup when the snapshot is older than 20 h
maxHistoryDays	90	days of history kept in the snapshot

Architecture

lib/index.js    host half: schedule tick, routes, agent tools, config schema
lib/board.js    snapshot store: scrape → convert → persist (tmp + rename) → history
lib/scrape.js   App Store page → { plan, amount, currency } pairs
lib/money.js    price parsing (comma/space decimals, ISO codes) + FX conversion
lib/shared.js   route names, plan ids, record shapes
lib/client.js   browser half: Settings page + optional sidebar tab
locale/         display strings for plugin search (zh / en)

• Host half does one scrape per day for every tracked region plus one FX snapshot, writes an atomic JSON file, and exposes two routes and two agent tools. Every open window reads the cache, so ten windows cost zero extra requests.
• Browser half only reads the cached snapshot from the host and renders it with theme tokens (--dsw-alias-*), so light and dark follow the shell.

Routes and tools

kind	name	purpose
GET	/plugins/dsh-chatgpt-price/snapshot	the cached snapshot (loopback only)
POST	/plugins/dsh-chatgpt-price/refresh	force a refresh, returns the new snapshot (loopback only)
tool	chatgpt_price_board	read rows, filter by region / plan
tool	refresh_chatgpt_prices	force a refresh and summarise the result

The snapshot file is chatgpt-price.json in the DSH data directory.

Notes on the numbers

App Store in-app purchase list prices include local tax outside the US, while the web checkout may show a different figure for the same plan — the checkout page wins. The ¥ column is a conversion for comparison, not a price you can pay.

The screenshot is regenerated from a real snapshot, with no hand-edited numbers:

python docs/make_screenshot.py "$env:USERPROFILE\.dsh\chatgpt-price.json" docs/screenshot.png

The script needs only Pillow. It re-applies the table's own ordering rules (plan selection, cheapest-first sort, vs-US ratio), so the picture matches what the plugin renders for the same data.

License

MIT