Files
Flights/JSX_NOTES.md
T
Trey t 6005146e75 Airline integration work: AirlineLoadService updates, docs, JSX scripts
- AirlineLoadService: pass airport DB for timezone-aware date strings,
  add browser-shaped headers for United, expand JetBlue/Alaska/Emirates
  signatures to take origin, log/parse fixes for Korean Air.
- FlightsApp: build AirlineLoadService with the airport DB and inject it.
- JSX: continued WebView-based fetcher work plus updated JSX_NOTES.
- Docs: add AIRLINE_INTEGRATION_GUIDE.md, drop the old AIRLINE_API_SPEC.md,
  add api_docs/ (StaffTraveler reverse-engineering captures + findings).
- Scripts: jsx_cdp_probe, jsx_live_monitor, jsx_swift_smoke for JSX
  protocol exploration.
- .gitignore: exclude airlines/ (local-only APK/IPA reverse-engineering).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-04-24 23:21:30 -05:00

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JSX / JetSuiteX — Reverse Engineering Notes

How to extract per-flight loads from jsx.com from an iOS app (WKWebView) or a command-line harness (Playwright). Findings from debugging this on real hardware against the live production site in April 2026.


TL;DR

  1. JSX's website runs on Navitaire. The data you want (seats available per fare class, prices per class, all flights for the day) lives in the POST /api/nsk/v4/availability/search/simple response body.
  2. You cannot call that endpoint from outside a loaded jsx.com page — Akamai will reject the request with an HTTP/2 protocol error based on the TLS fingerprint of whatever's making the call.
  3. Real Chrome succeeds when you actually drive the full one-way flow: select One Way, fill origin and destination, pick the depart date, click DONE, then click FIND FLIGHTS. That fires POST /api/nsk/v4/availability/search/simple and lands on /booking/select.
  4. In WKWebView, the safest runtime strategy is layered: drive the same UI flow first, try the real FIND FLIGHTS button, then fall back to the component's search() method, then finally to a direct in-page fetch() if page state still does not materialize.

The working pattern is therefore:

Navigate browser → jsx.com    (real page load)
Wait for SPA bootstrap        (station buttons exist, token call finishes)
Select One Way / route / date
Click DONE
Click FIND FLIGHTS
Wait for booking/select or Angular availability state
Fallback: component.search() or direct in-page POST if needed
Parse the response

Endpoints

Base: https://api.jsx.com

Method Path Purpose
POST /api/nsk/v2/token Anonymous auth token. Fired by the SPA automatically on page load. Response body is { data: { token: "eyJhbGci...", idleTimeoutInMinutes: 15 } }.
POST /api/v2/graph/primaryResources Route network / station list. SPA bootstrap.
POST /api/v2/graph/secondaryResources Extra static resources. SPA bootstrap.
POST /api/v2/graph/setCulture Locale setup. SPA bootstrap.
GET /api/nsk/v1/resources/contents?Type=GeneralReference Reference data. SPA bootstrap.
GET /api/nsk/v1/availability/lowfare/estimate?origin=X&destination=Y&... Per-day cheapest fare for a route across a date range. Fires when the user selects origin+destination. Useful as a warm-up / liveness check.
POST /api/nsk/v4/availability/search/simple The data you want. Fired when the user clicks Find Flights. Contains every flight for the route/date plus per-fare-class prices and counts.
PUT /api/nsk/v2/token Token refresh. Happens after a successful search.

All endpoints require the browser's Akamai cookies from a real jsx.com page load. The search/simple endpoint additionally requires the Authorization header set to the token (raw, no Bearer prefix — just the JWT string).


Auth

The SPA stores its anonymous token in sessionStorage["navitaire.digital.token"] as JSON:

{
  "token": "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9...",
  "idleTimeoutInMinutes": 15
}

Read it from inside the page:

const raw = sessionStorage.getItem("navitaire.digital.token");
const token = raw ? (JSON.parse(raw).token || "") : "";

Wait up to ~3 seconds after page load for it to appear — the POST /api/nsk/v2/token call that populates it is async.

Use it as the Authorization header value on the search/simple POST:

fetch("https://api.jsx.com/api/nsk/v4/availability/search/simple", {
    method: "POST",
    credentials: "include",
    headers: {
        "Content-Type": "application/json",
        "Accept": "application/json, text/plain, */*",
        "Authorization": token
    },
    body: JSON.stringify(requestBody)
});

Request body (/availability/search/simple)

Byte-identical to what the JSX website's own search() method posts when its form is valid. Confirmed by intercepting the real call in Playwright.

{
  "beginDate": "2026-04-15",
  "destination": "HOU",
  "origin": "DAL",
  "passengers": { "types": [{ "count": 1, "type": "ADT" }] },
  "taxesAndFees": 2,
  "filters": {
    "maxConnections": 4,
    "compressionType": 1,
    "sortOptions": [4],
    "fareTypes": ["R"],
    "exclusionType": 2
  },
  "numberOfFaresPerJourney": 10,
  "codes": { "currencyCode": "USD" },
  "ssrCollectionsMode": 1
}

beginDate is YYYY-MM-DD. No endDate needed for one-way. origin and destination are IATA codes.


Response shape (/availability/search/simple)

The response nests per-flight data inside a by-market dict, with fare pricing split into a separate top-level dict that you join via key. Here's the bit that matters:

data
├── results[]
│   └── trips[]
│       ├── date: "2026-04-15T00:00:00"
│       └── journeysAvailableByMarket
│           └── "DAL|HOU": [           ← key is `${origin}|${destination}`
│                 {
│                   stops: 0,
│                   designator: { origin, destination, departure, arrival },
│                   segments: [
│                     {
│                       identifier: { carrierCode: "XE", identifier: "280" },
│                       designator: { origin, destination, departure, arrival },
│                       legs: [{
│                         legInfo: { equipmentType: "ER4", ... }
│                       }]
│                     }
│                   ],
│                   fares: [
│                     {
│                       fareAvailabilityKey: "MH5Rfn5YRX5R...",
│                       details: [{ availableCount: 1, status: 1, ... }]
│                     }
│                   ]
│                 },
│                 ... more journeys
│               ]
└── faresAvailable                     ← keyed by fareAvailabilityKey
    └── "MH5Rfn5YRX5R...": {
          totals: { fareTotal: 339, revenueTotal: 329.2, ... },
          fares: [
            {
              classOfService: "Q",
              productClass: "HO",      ← HO = Hop-On, AI = All-In
              fareBasisCode: "Q00AHOXA",
              passengerFares: [{ passengerType: "ADT", fareAmount: 339, ... }]
            }
          ]
        }

To build a per-flight load summary, for each journey in journeysAvailableByMarket[<market>]:

  1. Flight number = segments[0].identifier.carrierCode + segments[0].identifier.identifier (e.g. "XE" + "280""XE280"). For multi-segment journeys concatenate all segments' identifiers.
  2. Origin / destination / times come from journey.designator (or fall back to segments[0].designator / segments[last].designator).
  3. Equipment type is on segments[0].legs[0].legInfo.equipmentType.
  4. For each entry in journey.fares[], look up fareAvailabilityKey in data.faresAvailable. From that record:
    • totals.fareTotal = price including taxes
    • totals.revenueTotal = base fare
    • fares[0].classOfService = single-letter fare code
    • fares[0].productClass = "HO" (Hop-On) or "AI" (All-In)
  5. Sum details[].availableCount for that fare bucket — that's the seats sellable at that price point.
  6. Total sellable seats for the flight = sum across all fare buckets on that journey.
  7. Lowest price = min of all fareTotal values.

JSX flies ERJ-145 and Embraer 135 variants with ~30 seats configured 1x2. availableCount numbers in the single digits are normal.

Example parsed output for DAL → HOU on a given day:

XE280  DAL→HOU  07:15→08:30  stops=0  seats=8  from=$317
    class=N bundle=HO  count=4  fare=$317  rev=$307.2
    class=N bundle=AI  count=4  fare=$479  rev=$469.2
XE292  DAL→HOU  10:35→11:50  stops=0  seats=2  from=$409
    class=W bundle=HO  count=1  fare=$409  rev=$399.2
    class=W bundle=AI  count=1  fare=$649  rev=$639.2

The jsx.com SPA UI — what the user does

This is only relevant if you're driving the UI (not doing a direct API call). Useful for smoke testing that the page is functional and the anonymous token is fresh, but see the WKWebView caveats below.

Structure of the one-way search form at https://www.jsx.com/home/search:

  1. Trip type — a Material mat-select with combobox role. Options: "Round Trip", "One Way", "Multi City". Default is Round Trip.
  2. Origin stationbutton[aria-label='Station select'] (index 0). Opens a dropdown with a search input (placeholder "Airport or city") and a list of li[role='option'].station-options__item entries.
  3. Destination stationbutton[aria-label='Station select'] (index 1). Same structure as origin.
  4. Depart dateinput[aria-label='Depart Date'] opens a custom two-month range picker overlay on click.
  5. Return date — only visible when trip type is Round Trip.
  6. Passengers — defaults to 1 adult, fine to leave alone.
  7. Find Flights button — submits; Angular's search() handler POSTs /availability/search/simple if the form validates.

The custom datepicker

JSX does not use Angular Material's mat-calendar. It's a custom component and none of the standard Material selectors match:

  • mat-calendar, .mat-calendar, mat-datepicker-content, [class*='mat-datepicker'] — all return null.
  • .mat-calendar-period-button — doesn't exist. There's no period button to parse "April 2026" out of.
  • .mat-calendar-body-cell — doesn't exist. Day cells are something else entirely.

What does work:

  • The picker mounts under .cdk-overlay-container in a pane that visibly contains month-name text (the Angular CDK overlay system is Material-ish even if the picker isn't).
  • Day cells carry aria-label attributes in the format "Saturday, April 11, 2026"weekday prefix included. That's why an exact match against "April 11, 2026" fails but a loose contains-month-AND-year-AND-day-word-boundary match succeeds.
  • Two months are shown side by side (e.g. April + May in April). Clicking a day cell doesn't close the picker.
  • There's a "DONE" button in the bottom right of the picker. It must be clicked to commit the selection. Without it, the picker stays open and the depart-date input value isn't set (when the picker is open there are two depart-date inputs in the DOM; after DONE there's one).

The picker renders in two phases

First phase ~150400 ms after click: overlay shell with month-name text (so selectors matching on month-name text succeed). Second phase a few hundred ms later: the actual day cells with aria-labels become queryable.

If you have separate script evaluations for "open picker" and "click day cell" (i.e. cross-bridge calls in WKWebView), the second call can race the second phase and see no cells. Always poll for at least one [aria-label] matching /\b(January|…|December)\s+\d{1,2},?\s+\d{4}/ before trying to click a specific cell. Polling timeout of ~5 seconds is sufficient.

Mat-select One Way option

The trip-type combobox needs a multi-strategy opener. None of these alone is reliable across browser engines:

  1. Plain .click() on the combobox
  2. focus() + keydown of Enter, Space, or ArrowDown
  3. Walk __ngContext__ and call the Angular mat-select instance's .open() method

Once a visible mat-option appears, click the "One Way" option with the full event sequence (pointerdownmousedownpointerupmouseupclickelement.click()). If the return-date input is still visible after that, fall back to walking __ngContext__ on the mat-option for _selectViaInteraction() or select() and calling it directly.

Station picker

  • Click the button[aria-label='Station select'] at the desired index (0 = origin, 1 = destination).
  • The dropdown renders li[role='option'].station-options__item entries plus a search input[placeholder='Airport or city'].
  • Type the IATA code into the search input via the native value setter + input/change events, wait ~500 ms for filtering, then click the option whose text contains the code at a word boundary.
  • Fall back to __ngContext__._selectViaInteraction() / .select() if the click doesn't update the station button's text.

JSX embeds Osano. The banner is a div[role="dialog"] with class osano-cm-window / osano-cm-dialog. Two problems:

  1. It intercepts clicks on the page behind it.
  2. Its role="dialog" matches any selector that looks for open dialogs, so code trying to find the datepicker via [role='dialog'] will match Osano instead.

Fix: after accepting it (class-based: .osano-cm-accept-all, .osano-cm-accept; or text-based: "Accept", "Accept All", "I Agree", "Got it"), force-remove the banner node:

document.querySelectorAll(".osano-cm-window, .osano-cm-dialog").forEach(el => el.remove());

Find Flights button

Visible on the main form. Angular click handler calls search(), which:

  1. Checks form.invalid. If true, marks touched and returns without firing a request.
  2. Otherwise builds the request body (same shape documented above) and POSTs /availability/search/simple.

The button being visually enabled does not mean Angular thinks the form is valid — Angular rechecks on every click. If search() silently bails, it won't surface any error to the DOM.


Browser validation and WKWebView strategy

The earlier "WKWebView cannot submit the form" theory was too strong. The browser probe that only failed POST /search/simple had not actually driven the same successful user flow Chrome uses.

What is confirmed

  • Real Chrome does succeed when the automation performs the whole flow: One Way -> origin -> destination -> depart date -> DONE -> FIND FLIGHTS.
  • That path produces a live POST /api/nsk/v4/availability/search/simple with HTTP 200 and advances the page to https://www.jsx.com/booking/select.
  • The response contains per-flight availability counts that the app can map back to XE flights.

What remains true in WKWebView

Synthetic events can still be brittle. A visually-filled form is not enough; the page may still reject the search if the component's internal state is not fully committed. Because of that, the iOS fetcher should not rely on exactly one trigger path.

Current iOS runtime strategy

Flights/Services/JSXWebViewFetcher.swift step 17 now does this:

  1. Prime the Angular search component with the target date.
  2. Click the real FIND FLIGHTS button and wait for availability state.
  3. If that does not materialize data, call component.search().
  4. If that still fails, issue the direct in-page fetch() POST as the last fallback.

That keeps the app aligned with the proven Chrome behavior without betting the entire integration on one fragile DOM event path.


Anti-bot surface (Akamai)

JSX fronts api.jsx.com with Akamai Bot Manager. Observed behavior:

Request source Result
Plain curl, fetch from Node, any external HTTP client Blocked. Almost all endpoints return HTML challenge page or Akamai error.
Playwright's built-in chromium.launch() (both bundled chromium and channel: "chrome") GET requests succeed, but POST /availability/search/simple specifically returns ERR_HTTP2_PROTOCOL_ERROR. Playwright injects enough automation bits for Akamai to flag the TLS/H2 fingerprint.
Real Chrome spawned as a plain process + Playwright attached via chromium.connectOverCDP() Works reliably. Chrome has the expected fingerprint and Playwright is only driving it via CDP, not altering it.
WKWebView on macOS / iOS Same-origin traffic from a real loaded jsx.com page can work, but the most robust app strategy is still layered because DOM-driven submission can be sensitive to page state and timing.
WKWebView with the current app flow Try real FIND FLIGHTS first, then component.search(), then direct in-page fetch(). This is the runtime path the app now uses.

Observations:

  • The Akamai block is on the request fingerprint, not on specific URLs. The same binary can reach some endpoints and not others because different endpoints attract different scrutiny.
  • Cookies set by a real page load are transferable to fetch() calls made from the same page context via credentials: "include", and Akamai accepts them.
  • The lowfare/estimate endpoint is a useful liveness probe — it fires automatically when the SPA has origin+destination, and if it succeeds you know the Akamai session is good.

Network observation

For the app runtime, prefer passive observation over wrapping fetch() or XMLHttpRequest. The current iOS flow uses a PerformanceObserver to record api.jsx.com resource entries without touching the request pipeline.

That gives enough signal to answer:

  1. Did the page attempt /availability/search/simple at all?
  2. Did the page advance to /booking/select?
  3. Did Angular availability state appear after the search trigger?

See the window.__jsxProbe setup in Flights/Services/JSXWebViewFetcher.swift step 4 for the current implementation.


Per-step verification

Every step in the WKWebView flow has an action and one or more post-condition verifications. The action runs and returns success or failure; then every verification runs regardless and logs its result. This matters because a step can have an action that returns "ok" but actually left the page in a broken state — e.g. step 12 can return "datepicker open" because it found the overlay shell, while step 13's check reveals the day cells haven't rendered yet. Running all the verifications and surfacing their results per-line in the log (rather than stopping at the first failure) lets you see the full state the failing step produced, not just the first mismatch.

On failure, the step runner dumps:

  • The action's returned data fields (e.g. action.sample: [...], action.monthMatches: [...]) — any diagnostic payload the action JS chose to include gets surfaced automatically.
  • Page state: current URL, visible [role='combobox'] count, visible mat-option count, Find Flights button disabled/aria-disabled state, recently initiated and completed api.jsx.com calls, and any elements matching ng-invalid / mat-form-field-invalid / error classes so form validation errors are visible.

Code references

  • iOS runtime flow: Flights/Services/JSXWebViewFetcher.swift — the 19-step WKWebView-based flow with per-step verification. Returns JSXSearchResult { flights: [JSXFlight], rawSearchBody, error } with one JSXFlight entry per unique flight in the search response.

  • iOS call site: Flights/Services/AirlineLoadService.fetchJSXLoad — invokes the fetcher, logs every returned flight, and picks the caller-requested flight number via digit match.

  • Playwright reference implementation: scripts/jsx_playwright_search.mjs — standalone command-line harness that drives the real jsx.com SPA from a real Chrome attached via chromium.connectOverCDP(). Used as the source of truth for the UI flow and request/response shapes that the Swift rewrite mirrors.

    npx playwright install chromium        # one-time
    node scripts/jsx_playwright_search.mjs --origin DAL --destination HOU --date 2026-04-16 --headful
    

    Artifacts land in /tmp/jsx-playwright/ (raw search-simple.json, the lowfare.json low-fare estimate, and a calls.json log of every api.jsx.com URL/status the session saw).