Shopify Products Scraper — Full Catalog & Shards

What does Shopify Products Scraper do?

Extract the full public product catalogue from any Shopify store domain — paste the store URL or domain and get titles, vendors, prices with currency, variants, images, and availability. No Shopify API key and no collection URLs required; optional collection sharding covers very large catalogs.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by Shopify Inc. It reads public storefront catalogue pages only.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Schedule runs, export JSON/CSV/Excel, or call via API / MCP.

Other product catalog scrapers: eMAG Product Scraper (RO/BG/HU marketplace) and Chrono24 Watch Listings Scraper (luxury watch listings) — useful when you monitor prices across Shopify boutiques, CEE marketplaces, and secondary-market watches. Fashion resale / retail: Vestiaire Collective Scraper, Grailed Listings Scraper, H&M Product Scraper.

Why use this Shopify scraper?

• 🏪 Store domain only — paste gymshark.com or a full URL
• 📦 Automatic pagination (250 products per page)
• 🧩 Collection sharding when catalogues exceed Shopify’s ~25k product cap
• 💱 Optional currency / localization cookies for price context
• 🛡️ Reliable access with automatic retries when a store blocks plain requests
• 🔁 Multi-store runs in one input list

What Shopify product data can you extract?

Fields	Meaning
store, title, vendor, url	Store, title, brand, product URL
currency, priceMin, priceMax	Prices with currency
available, variantCount, variants	Stock and variant detail
images / image URLs	CDN images
handle, productId	Stable identifiers

Use cases

• Competitor price monitoring on Shopify boutiques
• Catalogue exports for market research
• Inventory / availability snapshots
• Multi-store assortment comparison

How to scrape all products from a Shopify store

1. Open this Actor in Apify Console.
2. Click Start on the prefilled store (maxProducts 5).
3. Add more storeUrls (domain or URL) and raise the cap when ready.
4. For huge catalogues, enable useCollectionShards.
5. Leave proxy off unless you see HTTP 403; then enable Apify Proxy.
6. Export the dataset, or open the Issues tab on this Store page if a run fails.

How much does it cost to scrape Shopify products?

PPE: Actor start + each product result. Free plan is about $2.75 / 1,000 depending on your configured tiers — check the Pricing tab. Cap with maxProducts.

Input

Field	Description
storeUrls	Required. Domains or URLs
maxProducts	Cap per store (0 = unlimited)
collectionHandles	Extra collections to scrape
useCollectionShards	Walk collections after ~25k products
currency / localization	Price-context cookies
sleepSeconds	Polite delay between pages
proxyConfiguration	Enable on 403 / rate limits

Sample output

{
  "store": "hardlyeverwornit.com",
  "storeUrl": "https://hardlyeverwornit.com",
  "productId": 8234567890123,
  "title": "Example Item",
  "handle": "example-item",
  "url": "https://hardlyeverwornit.com/products/example-item",
  "vendor": "Brand",
  "currency": "GBP",
  "priceMin": 120.0,
  "priceMax": 120.0,
  "available": true,
  "variantCount": 1,
  "variants": [{ "sku": "ABC", "price": "120.00", "available": true }],
  "images": ["https://cdn.shopify.com/..."]
}

FAQ

Does every Shopify store work?

Most classic Online Store themes do. Headless / Hydrogen storefronts that do not expose a public product catalogue may fail — those need a different approach.

Why do I stop around 25,000 products?

Shopify caps a single catalogue walk around ~25k products. Enable useCollectionShards to continue via collections.

Is this official Shopify software?

No. It is unofficial and not affiliated with Shopify. It only reads public storefront catalogues.

Is scraping Shopify product data legal?

This Actor reads public storefront catalogue data. Review the target site’s terms and your use case.

Monitoring non-Shopify catalogs too?

Use eMAG Product Scraper for emag.ro/.bg/.hu category/search URLs, or Chrono24 Watch Listings Scraper for luxury watch listings — same “price + currency + URL” monitoring pattern, different sources.

Related Actors

Actor	Use together when…
eMAG Product Scraper	You also track CEE marketplace SKUs (Romania, Bulgaria, Hungary)
Chrono24 Watch Listings Scraper	You monitor luxury watch listing prices alongside fashion/product catalogs
LEGO.com Product Scraper	You also track official LEGO.com set MSRP next to boutique Shopify catalogs
Vestiaire Collective Scraper	You add designer resale next to watches / Shopify catalogs
Grailed Listings Scraper	You add streetwear resale listings
H&M Product Scraper	You anchor against fast-fashion retail prices
Shopify Products Scraper	(this Actor) — any public Shopify store catalogue

Profile: bakos_bence on Apify

For AI agents & LLM apps

Paste this Actor’s Apify Store URL into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

Actor ID: bakos_bence/shopify-products-scraper

Purpose: Full public Shopify catalogue from a store domain, with optional collection sharding past the 25k product cap.

Minimal input:

{ "storeUrls": ["https://hardlyeverwornit.com"], "maxProducts": 100 }

Output: one dataset row per product with prices, variants, images, availability.

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

1. In Apify Console, open Settings → Integrations and copy an API token.
2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):

https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

1. Open Power BI Desktop → Home → Get data → Web.
2. Paste the CSV URL (including token=).
3. When asked how to sign in, choose Anonymous → Connect.
4. Confirm the preview is a table (CSV). Load or Transform data as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
2. Connect → To a Server → REST API.
3. Paste the CSV URL (including token=). Set response format to CSV.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In A1 enter:

=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

1. In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
2. URL = the CSV URL including token=. Method GET.
3. Set the expected response type to CSV (or use format=json and JSON mode).
4. Test connection, pick the table, Add / Load.
5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

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