Maintained e-commerce data
Every store. Every price. Every day.
From every store you watch, one clean stream of prices, stock, reviews and new products into your warehouse. Refreshed daily, fixed when sites change.
Competitor prices, discounts and stock, tracked daily.
Know every price change before your customers do.
- Match or beat competitor prices on your key SKUs
- Alert when a reseller breaks your minimum advertised price
- Track promotion depth and frequency by competitor
| sku | title | price | list_price | currency | in_stock | promo | scraped_at |
|---|---|---|---|---|---|---|---|
| HD-4421 | Cordless Drill 20V | 129.00 | 159.00 | USD | true | -19% | 2026-10-05T06:00Z |
| HD-4422 | Drill Bit Set 50pc | 24.99 | 24.99 | USD | true | 2026-10-05T06:00Z | |
| HD-5102 | Circular Saw 7-1/4 | 89.00 | 109.00 | USD | false | -18% | 2026-10-05T06:00Z |
| HD-5188 | Work Light LED | 39.50 | 39.50 | USD | true | 2026-10-05T06:00Z |
Complete product catalogs from any store.
Every product, every attribute, one schema.
- Build or enrich your own product database
- Benchmark your range against competitors
- Feed product data to search, recommendation or AI systems
| sku | title | brand | category_path | description | images | variants | url |
|---|---|---|---|---|---|---|---|
| AW-1001 | Wool Blend Coat | Alexander W. | Women > Outerwear > Coats | Mid-length coat in wool blend… | 3 | S,M,L | /p/aw-1001 |
| AW-1002 | Leather Tote | Alexander W. | Women > Bags > Totes | Grained leather tote… | 5 | One size | /p/aw-1002 |
| AW-1310 | Knit Cardigan | Alexander W. | Women > Knitwear | Ribbed knit cardigan… | 4 | XS,S,M,L | /p/aw-1310 |
Every review, every store, one schema.
Hear what customers say about you and your competitors.
- Spot product defects early from review trends
- Compare sentiment across competing products
- Monitor ratings on marketplaces where you sell
| sku | rating | title | body | author | verified | date | store |
|---|---|---|---|---|---|---|---|
| KL-220 | 5 | Great toaster | Heats evenly and looks good… | M. R. | true | 2026-09-28 | kitchen-store |
| KL-220 | 2 | Stopped working | Died after six weeks… | J. T. | true | 2026-09-30 | kitchen-store |
| KL-220 | 4 | Solid value | Does the job, a bit loud… | anon | false | 2026-10-02 | marketplace-a |
Who sells what, and what's new on the shelf.
See every competitor's range change as it happens.
- Find gaps in your range versus competitors
- Detect new product launches the day they appear
- Measure share of shelf by brand per category
| category_path | sku | title | brand | position | first_seen | last_seen |
|---|---|---|---|---|---|---|
| Running > Shoes > Men | SL-9001 | Speedcross 6 | Salomon | 1 | 2026-08-02 | 2026-10-05 |
| Running > Shoes > Men | NB-8801 | Fresh Foam X | New Balance | 2 | 2026-08-02 | 2026-10-05 |
| Running > Shoes > Men | AD-7710 | Ultraboost 5 | Adidas | 3 | 2026-09-14 | 2026-10-05 |
01 · Source
Any store. Even the awkward ones.
Marketplaces, brand stores, retail catalogues, review pages. JavaScript, AJAX, logins, bot walls. If a browser can see it, we can collect it.
02 · Current
Sites change every day. We fix them every day.
Automated checks catch broken sources. Engineers repair them. You never see the break, only the data.
Example repairs · anonymised
- Detect
- Fix
- Deliver
- Sports brand restructured category URLs 3 Oct Fixed · same day
- Marketplace added a bot challenge on category pages 2 Oct Fixed · next day
- Home-goods store changed price markup on 1,200 product pages 1 Oct Fixed · same day
- Fashion retailer moved product listings behind AJAX pagination 30 Sept Fixed · same day
03 · Lake
Lands where you work.
Delivered on your schedule to S3, BigQuery, Google Sheets, CSV or an API. Same schema every time.
For data teams
Query it like any other table.
Every product arrives as Parquet, CSV or JSON in storage you own, or straight into your warehouse. The schema is fixed and versioned, so your queries keep working when a store changes its site.
- Amazon S3, Google Cloud Storage, BigQuery, Google Sheets or an API
- Folders organised by product and date
- Field changes announced 30 days ahead
import duckdb
# Your Jyaba feed lands in your own bucket, organised by product and date.
prices = duckdb.sql("""
SELECT sku, title, price, list_price, in_stock, scraped_at
FROM read_parquet('s3://your-bucket/jyaba/price_monitoring/dt=2026-10-13/*.parquet')
WHERE in_stock AND price < list_price
ORDER BY list_price - price DESC
""").df()
print(prices.head())How it works
How an engagement runs
- 1 Day 1
Discovery call
Tell us which stores and fields matter. We confirm feasibility and price in writing.
- 2 Week 1
Pipeline live
We build the sources, agree the schema and schedule, and deliver the first full run.
- 3 Ongoing
Monitored and repaired
Every run is checked. Broken sources are fixed before the next delivery.
Who we work with
Built for teams that need store data to keep arriving.
- Retail brands See how →
- Marketplace sellers See how →
- Price-comparison sites See how →
- Market research firms See how →
- Consultancies See how →
Trusted by
Pricing
Public prices. No sales call needed to see them.
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