The Product Analyst · Data

Product, pricing & stockist intelligence, delivered clean.

We turn public commerce data — Shopify product feeds, store locators, stockist pages, and local market sources — into structured product, pricing, markdown, availability, and distribution datasets, ready for agencies, ecommerce teams, and competitive-intelligence workflows.

Get a free competitor sampleView our Apify tools

What is sold, where, at what price, and who sells it — without manually checking hundreds of pages.
Real sample run · July 4, 2026

Proof, not promises

We ran a cross-category sample across five well-known Shopify/DTC storefronts — Mielle Organics, Pattern Beauty, Allbirds, ColourPop, and OLIPOP. Every number below comes from that run.

1,263product / variant rows
5Shopify / DTC stores
0diagnostics (clean output)
75%max discount detected
Store Rows Unique products In stock Discounted rows Max discount Avg price Top product type
Allbirds 890 80 330 518 75% $88.60 Shoes
Mielle Organics 82 72 47 32 67% $14.42 Conditioners
Pattern Beauty 85 80 84 28 35% $44.88 Bundles
ColourPop 80 80 76 0 0% $19.05 Hyper Shine Glossy Lipstick
OLIPOP 126 46 89 0 0% $36.59 9g Fiber

Store summary from the July 4, 2026 sample run. Product types read exactly as each store publishes them. Discounts are compare-at markdowns present in the feed at scan time.

What the feed captures

Each row is one product variant, with store context attached — structured for spreadsheets, dashboards, or downstream pipelines.

Products & variantsEvery variant as its own row, with variant ID and title.
Price & compare-at priceCurrent price next to the original, per variant.
Discount % and valueMarkdown depth computed on every discounted row.
AvailabilityIn-stock / sold-out status per variant.
Type, vendor & tagsCatalog structure exactly as the store publishes it.
Product & image URLsDeep links for every row.
Published dateNew-product and launch signals.
Store-level summariesRows, discount depth, average price, top types per store.

Use it for weekly competitor monitoring

01

Markdown monitoring

See which competitor products are discounted, by how much, and where the deepest markdowns are.

02

New-product tracking

Spot newly published products and launches across competitor catalogs.

03

Assortment intelligence

Compare product types, categories, tags, and vendor structures.

04

Availability checks

Identify sold-out and back-in-stock variant patterns.

05

Agency reporting

Give Shopify/DTC clients a simple weekly competitor catalog and pricing snapshot.

The toolset

Three tools are live on Apify today — run them self-serve, or let us run them for you as a report.

In development

Next on the roadmap — mention any of these in your sample request for early access:

Universal Store Locator / Where-to-BuyShopify Price & Assortment MonitorMedspa & Aesthetics Clinic RadarRetailer Availability CheckerFranchise / Dealer Network Extractor

The deliverable: one clean workbook

Samples ship as a multi-tab spreadsheet (Excel/CSV) — summary up front, full rows behind it.

Store SummaryTop DiscountsProduct RowsNewest ProductsStore × Product Type
store product_title vendor product_type variant_title price compare_at discount_% availability published_at product_url
full rows in your sample

Column schema shown (plus tags, image URL, drop/sale score, and scrape timestamp). Request a free sample to see your market’s actual rows.

Built for Shopify agencies, DTC brands, and ecommerce data teams

For agencies, this becomes a lightweight client add-on: a recurring competitor catalog and markdown report you deliver under your own brand.

For DTC teams, it answers a simple weekly question: what did competitors launch, discount, restock, or leave at full price this week?

For data teams, it provides structured Shopify product-feed rows that plug into dashboards, alerts, or downstream analysis — no parsing required.

Simple pricing

$1 per 1,000 rows

Self-serve on Apify — the Shopify Product Feed & Price Scraper runs at $0.001 per dataset row. Run it yourself, on your store list, on your schedule. Each tool lists its own pricing on Apify.

Browse all our tools on Apify →

Done-for-you reports

Want it as a finished report instead? Send 3–5 competitor URLs and we’ll prepare a free mini sample first — then agree a simple weekly or monthly cadence if it’s useful.

Who’s behind this

JH

Jay Hwang

Data Lead · The Product Analyst Data

Jay runs the data side of The Product Analyst end to end — the store lists, the feed runs, the QA, and the workbook you receive. Every sample request goes to him directly, and every deliverable ships under his name.

Questions before sending your competitor list? Reach him at jay@theproductanalyst.com.

Want to see it on your market?

Send 3–5 Shopify competitor URLs. We’ll return a free mini spreadsheet with product rows, top markdowns, availability, and new-product signals — usually within 1–2 business days.

Paste the competitor store URLs (and the niche or client type, if relevant) in the message box.
Prefer email? Reach us at data@theproductanalyst.com
The Product Analyst Data is the data arm of TheProductAnalyst.com, an independent product-research site. Sample figures above are from a real July 2026 run and are not projections.
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