Irmu
Solution

Market Research

Track categories, players and demand signals continuously instead of quarterly.

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The problem

What gets in the way

Market research decks go stale the week they ship. Analysts spend most of their time collecting and cleaning rather than interpreting, and one-off pulls make trend analysis impossible.

The approach

How Irmu solves it

Irmu gives research teams a repeatable collection layer: schedule crawls across marketplaces, app stores, review sites and social platforms, extract the same schema every run, and build a time series instead of a snapshot.

Workflow

The pipeline, step by step

  1. 01

    Pick your sources

    Marketplaces, app stores, review platforms and social channels relevant to the category.

  2. 02

    Schedule collection

    Cron-driven jobs pull the same URLs and search terms on a fixed cadence.

  3. 03

    Extract a stable schema

    AI Extract enforces the same fields run after run even as page layouts change.

  4. 04

    Analyze the series

    Load into your warehouse and chart share of shelf, pricing bands and sentiment over time.

Example

A request from this pipeline

request.json
POST /api/schedule
{
  "cron": "0 6 * * *",
  "endpoint": "extract",
  "urls": ["https://www.amazon.com/s?k=electric+toothbrush"],
  "schema": { "product": "string", "brand": "string", "price": "number", "rank": "number" },
  "webhook": "https://hooks.acme.com/irmu"
}
Get started

Try it on your own targets

The free plan is enough to run this workflow end to end on a handful of pages. If you want help sizing it for production volume, send us your target list and we'll go through it with you.

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