What's growing.
Who's winning.
Across the open web.
Track category trends, brand share, and competitor assortment shifts from real web data. Variant-level depth, full history, your tools.
Two questions drive most market intelligence work: what is growing in a category, and who is winning share inside it. Extralt answers both from the open web, with variant-level data and a timestamp on every observation. Built for brand strategists, category managers, and equity research teams who need to read the market without waiting for a merchant feed or a panel report.
market intelligence · three angles
One market, three angles on its motion.
aggregations & analytics
Slice the market the way your team thinks.
Every listing carries a category path, a brand, a price, a country, and a timestamp. That structure makes the analytics downstream cheap. Aggregate by category and date for trends. Group by brand within a category for share. Diff two snapshots of a brand catalog to see what launched.
We do not lock the analysis behind a dashboard. The data lives where you can query it: REST API, SQL access, CSV export, or a direct connection from your own analytics tool. The questions are yours. So is the tool.
- Time-series rollupsVolume, price-tier mix, attribute mix, and brand mix per period. Daily, weekly, monthly. Same data, your cadence.
- Brand share at any cutBy SKU count, by listing count, by observation frequency, or weighted by price. Compute the share metric your team trusts, not the one a vendor picked for you.
- Cross-category comparisonsCompare a brand's footprint across categories, or one category's structure across countries. Same fields, no translation step in the middle.
- New-launch surfacingFilter on first-observed timestamp inside a category and brand window. Get the launches your competitors are pushing the day they appear.
deliverables
What you get
Granularity
Variant-level
Roll up to category, brand, country
History
Full timeline
Timestamped from first observation
Coverage
Open web
No merchant opt-in required
Access
API · SQL · CSV
Bring your own analytics tool
why extralt
Built for reading the market, not selling a dashboard.
Ground truth, not panels
We observe the live web, not a sampled panel and not a merchant-submitted feed. New launches and regional retailers show up because we saw them, not because someone signed a feed agreement.
Variant-level, not page-level
A shoe in 4 colors is 4 records, not 1. Most market intel collapses to SKU or page level and loses the resolution that makes attribute and price-tier analysis meaningful.
Your tool, not ours
API, SQL, CSV. Plug into Hex, Jupyter, Tableau, or whatever your team already uses. We are the data layer. The analysis stays where you do the rest of your work.
All of this runs on Explore, the query layer of the Extralt pipeline. Aggregations and analytics over the same enriched variants and listings that power price monitoring and product data, with API, SQL, and CSV access.
who it's for
For teams that need to see the whole market, not a slice of it.
- Brand strategists & market researchersRead the market across categories, brands, and countries without commissioning a panel report every quarter. Refresh the picture as often as you want.
- Category managers & merchandisersPlan assortment with the actual market in view. Spot white space, premium drift, and competitor expansion before the buy meeting, not after.
- Investor & equity research teamsTrack competitive dynamics and assortment growth at retailer-level resolution. Build conviction (or skepticism) on a public-comp story from observed data, not management commentary.
faq
Common questions
Start reading the market today.
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