Travel automation

Airline and OTA scraping that holds up.

Travel is the workload Roolink was hardened on. Carrier and OTA endpoints sit behind Akamai Bot Manager, and Roolink has been proven against them at high volume.

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fare_search.go

client := roolink.NewClient(apiKey)

// SBSD challenge in front of the homepage? Solve it first.
sbsd, _ := client.SolveSBSD(ctx, roolink.SBSDRequest{
    Vid: challenge.V, BmO: cookies.BmO,
    Url: pageURL, UserAgent: ua,
})

// Generate sensor data, then mint a valid _abck.
sensor, _ := client.GenerateWebSensor(ctx, roolink.WebSensorRequest{
    URL: pageURL, UserAgent: ua,
    Abck: cookies.Abck, BmSz: cookies.BmSz,
    ScriptURL: scriptURL, Language: "pt-BR",
})
// POST sensor.Sensor back, then call the fare or award endpoint.

The problem

Where travel automation hits the wall.

Travel platforms and metasearch run into this constantly. Here is the concrete version, and where Roolink stops.

Airline and OTA endpoints such as fare search, award calendars, and seat maps are almost always behind Akamai Bot Manager, often with an SBSD challenge in front of the homepage. A travel platform polling award availability needs a fresh, valid _abck for every search and a solved SBSD body before the page even renders. Roolink handles the SBSD challenge and the sensor lifecycle, so the platform workers just make JSON requests and read availability.

Who this is for

Travel platforms and metasearch
Award and miles availability products
Hotel and car rental inventory teams
Loyalty and booking flow QA teams

What travel automation teams replace

SBSD challenges block the homepage before any availability call succeeds
Every fare and award search needs a fresh, valid _abck cookie
Mobile fare apps (BMP) need separate iOS and Android sensor handling
Carrier protections change often and break booking flow automation

Workflow

How Roolink fits a travel automation workflow.

Roolink handles the anti-bot step. Your team owns scheduling, storage, analysis, and business logic.

Typical workflow

Load the carrier or OTA entry page and detect SBSD or the sensor script
Solve SBSD through Roolink, then generate sensor data
Post sensor data to obtain a valid _abck for the session
Drive fare, award, or availability endpoints with the validated session

Operational outcomes

SBSD solved and _abck minted before the first availability request
One integration covers web (Akamai Web) and app (Akamai BMP) fare flows
Availability and award checks run at high frequency without browser fleets
Protection changes absorbed by Roolink, not your booking-flow code

Platform products

Products for travel automation.

Each is callable from the same API key. Most teams here use one or two.

Akamai Web

_abck, SBSD, and Sec-CPT for carrier and OTA web fare flows.

View product

Akamai BMP

iOS and Android sensor data for in app fare and loyalty flows.

View product

Kasada

Kasada token generation for protected travel and ticketing inventory.

View product

FAQ

Travel automation questions.

Short answers for teams evaluating whether Roolink is a fit.

How do I bypass the Akamai SBSD challenge on airline sites?

Roolink solves the SBSD challenge and returns the body to post. It then handles the sensor and _abck lifecycle, so your workers reach fare and availability endpoints directly.

Can I scrape both the airline website and the mobile app?

Yes. Akamai Web covers browser fare flows and Akamai BMP covers iOS and Android app flows with the same API key. Many travel customers run both.

Is travel data the main thing Roolink supports?

It is the workload Roolink was hardened on and where most volume runs, but the same model applies to ticketing, retail, and other approved Akamai and Kasada workflows.

Related use cases

Teams doing travel automation also run:

The same request-based model maps cleanly across adjacent workflows.

Price monitoring

Scrape pricing, fares, and inventory from Akamai and Kasada protected sites with a request based API, instead of a Playwright or Puppeteer fleet of headless browsers.

View use case

Synthetic monitoring

Validate Akamai and Kasada protected journeys with request based synthetic checks instead of expensive full browser monitors running every minute.

View use case

QA testing

Validate Akamai and Kasada protected paths in CI without depending only on slow, flaky, full browser end to end suites.

View use case

Ready to test this workflow?

Create an account or talk to us about your volume, sources, and integration path.

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