Market research

Repeatable market research across protected sites.

Roolink keeps the anti-bot layer stable so your research methodology, not browser maintenance, is what stays consistent across runs.

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sample_run.sh

bash

# Same request shape every run, comparable longitudinal samples
for src in $(cat approved_sources.txt); do
  curl -s https://web.roolink.io/api/v1/sensor \
    -H "x-api-key: $ROOLINK_KEY" \
    -H "content-type: application/json" \
    -d "{\"url\":\"$src\",\"userAgent\":\"...\"}" \
    | tee "runs/$(date +%F)/$(echo $src | md5sum | cut -c1-8).json"
done

The problem

Where market research hits the wall.

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

A competitive intelligence team samples product and availability data weekly across protected retail and travel sites. When a sensor script rotates mid study, a browser based collector silently degrades and the dataset drifts. Routing the protected step through Roolink keeps the collection contract stable, so the same request returns a comparable result week over week.

Who this is for

Market and competitive intelligence teams
Product intelligence teams
Data vendors and panels
Strategy and pricing analysts

What market research teams replace

Longitudinal studies drift when protected flows change
Browser farm noise contaminates comparable samples
High volume sampling makes full page rendering expensive
It is hard to prove a run was collected consistently

Workflow

How Roolink fits a market research workflow.

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

Typical workflow

Define approved sources and a sampling schedule
Route the protected step through Roolink each run
Store raw observations and request metadata in your system
Compare coverage and changes across periods

Operational outcomes

A stable collection contract across study periods
Cleaner samples without rendering noise
Lower cost per observation at scale
Per request logs that document each run

Platform products

Products for market research.

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

Akamai Web

Stable web sensor generation for repeatable research runs.

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Akamai BMP

Mobile app sensor data for app based market research.

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Kasada

Kasada token generation for protected research sources.

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FAQ

Market research questions.

Short answers for teams evaluating whether Roolink is a fit.

Does this support commercial and academic research?

Yes, when the workflow is approved and aligned with legitimate research, monitoring, or validation use. Every account goes through a manual use case review.

Does Roolink store the research data?

No. Roolink provides the anti-bot layer only. You store and analyze every observation in your own system.

How does this improve reproducibility?

The protected step stays a fixed request contract instead of a drifting browser script, so runs stay comparable when site protections rotate.

Related use cases

Teams doing market research 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

Academic research

Support approved academic studies that need consistent, documentable collection from protected web and mobile sources without browser farm maintenance.

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AI agents

Let AI agents reach Akamai and Kasada protected pages with one API call instead of running a headless browser per task. Request based, with Go, JS, and Python SDKs.

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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