Price monitoring

Price monitoring without getting blocked.

Roolink returns the sensor data protected pricing endpoints expect, so your price scrapers run as plain HTTP requests with predictable cost.

Get started View pricing

price-check.sh

bash

# Generate sensor data, post it back, hold a valid _abck
curl -s https://web.roolink.io/api/v1/sensor \
  -H "x-api-key: $ROOLINK_KEY" \
  -H "content-type: application/json" \
  -d '{ "url": "https://www.example-airline.com/fares",
        "userAgent": "..." }'

# Attach the cookie, then call the fare endpoint.

The problem

Where price monitoring hits the wall.

Pricing and revenue intelligence teams run into this constantly. Here is the concrete version, and where Roolink stops.

A pricing team tracking airfare across a dozen carriers hits the same wall every time. The fare endpoints sit behind Akamai Bot Manager, so every request needs a valid _abck cookie or it returns a 403. Running a headless Chrome per route is slow, expensive, and still breaks when the protection rotates. With Roolink the team calls one sensor endpoint and replays valid cookies across thousands of price checks an hour from ordinary workers.

Who this is for

Pricing and revenue intelligence teams
Airfare, hotel, and OTA data teams
Ecommerce and marketplace operators
Competitive intelligence vendors

What price monitoring teams replace

Pricing endpoints behind Akamai _abck or Kasada return 403 and 418 to direct requests
Headless browser fleets are slow and dominate the bill at high frequency
Sensor scripts and challenge formats rotate and break brittle scrapers overnight
Per route and per region failures are hard to debug inside a browser farm

Workflow

How Roolink fits a price monitoring workflow.

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

Typical workflow

Define approved sources, regions, and refresh frequency
Fetch the target page and read the bootstrap cookies
Call Roolink to generate sensor data, post it, and collect a valid _abck cookie
Replay the cookie against pricing and inventory endpoints, then store results

Operational outcomes

Price checks run as plain HTTP calls instead of full browser sessions
Browser infrastructure cost replaced by per request pricing that scales linearly
Sensor script changes absorbed by Roolink, not your scrapers
Per request status codes make per source failure attribution simple

Platform products

Products for price monitoring.

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

Akamai Web

_abck, SBSD, and Sec-CPT generation for protected web pricing endpoints.

View product

Akamai BMP

iOS and Android sensor data for in app pricing and fare research.

View product

Kasada

x-kpsdk-ct and x-kpsdk-cd payloads for Kasada protected catalogs.

View product

FAQ

Price monitoring questions.

Short answers for teams evaluating whether Roolink is a fit.

How do I scrape prices behind Akamai without getting blocked?

Call the Roolink sensor endpoint, post the result back, and you hold a valid _abck cookie. Replay that cookie against the pricing endpoint and the request goes through, with no headless browser required.

Which bot protections do you cover for pricing sites?

Akamai Bot Manager on web and mobile (BMP) and Kasada are live today. Cloudflare, DataDome, and Incapsula are on the roadmap. Most travel and retail pricing endpoints are Akamai protected.

Does Roolink scrape prices for me?

No. Roolink returns the sensor data the protected endpoint expects. You own the request scheduling, parsing, storage, and analysis. Roolink replaces only the anti-bot layer.

How does pricing compare to a browser farm?

Per request, by product and volume tier, with monthly plans or pay as you go balance. There are no per browser compute costs, so spend scales linearly with checks.

Related use cases

Teams doing price monitoring also run:

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

Travel automation

Scrape fare search, award availability, hotel inventory, and loyalty flows behind Akamai Bot Manager and Kasada with request based sensor data. Web and mobile, one API key.

View use case

Market research

Collect repeatable product, pricing, and availability data from Akamai and Kasada protected sources without making browser automation the core problem.

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

Ready to test this workflow?

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

Talk to us Get started