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
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.
| 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.
Each row is one product variant, with store context attached — structured for spreadsheets, dashboards, or downstream pipelines.
See which competitor products are discounted, by how much, and where the deepest markdowns are.
Spot newly published products and launches across competitor catalogs.
Compare product types, categories, tags, and vendor structures.
Identify sold-out and back-in-stock variant patterns.
Give Shopify/DTC clients a simple weekly competitor catalog and pricing snapshot.
Three tools are live on Apify today — run them self-serve, or let us run them for you as a report.
Next on the roadmap — mention any of these in your sample request for early access:
Samples ship as a multi-tab spreadsheet (Excel/CSV) — summary up front, full rows behind it.
| 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.
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.
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.
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.
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.
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.