Shopify Scraper

Shopify Scraper

Shopify Scraper is a fast, reliable Shopify store scraper that collects structured product data from Shopify homepages, collections, and direct product pages. It solves the heavy lifting of Shopify product data scraping by extracting clean, ready-to-use fields like titles, brands, variants, prices, images, and availability — ideal for marketers, developers, data analysts, and researchers. As a Shopify product scraper and Shopify data extractor, it scales from one-off checks to bulk runs across multiple stores for pricing research, catalog enrichment, and automation-ready pipelines. 🚀

What data / output can you get?

Below are the exact fields the actor produces, as they appear in the dataset. Each individual product is pushed as its own item, and a final run summary item is appended at the end.

Data type	Description	Example value
source.id	Product ID from Shopify, stringified	"8347561934890"
source.canonicalUrl	Canonical product URL on the retailer	"https://store.example.com/products/blue-sneakers"
source.retailer	Shopify domain of the store	"store.example.com"
source.language	Language code (static)	"en"
source.currency	Currency code from first variant (fallback "USD")	"USD"
source.createdUTC	Product creation timestamp	"2025-11-07T10:21:41-05:00"
source.updatedUTC	Product update timestamp	"2026-02-14T16:08:19-05:00"
source.publishedUTC	Product publish timestamp	"2025-11-08T09:00:00-05:00"
title	Product title	"Blue Sneakers"
description	Product HTML description	" Lightweight, durable... "
brand	Vendor/brand	"Acme Footwear"
categories	Parsed tags as category list	["Shoes","Men","Blue"]
tags	Tags (same as categories source)	["Shoes","Men","Blue"]
variants[].id	Variant ID (string)	"43852190837465"
variants[].title	Variant title	"Blue / 42"
variants[].sku	Variant SKU	"ACME-BLU-42"
variants[].options	Selected option values	["Blue","42"]
variants[].price.current	Current price in minor units (e.g., cents)	7999
variants[].price.previous	Previous/compare-at price in minor units	9999
variants[].price.stockStatus	Availability per variant	"InStock"
medias[].type	Media type	"Image"
medias[].url.src	Media URL	"https://cdn.shopify.com/.../blue-sneakers.jpg"
options[].type	Option name (e.g., Color, Size)	"Color"
options[].values[].name	Option value name	"Blue"

Bonus: Each product also includes a medias array with rich metadata (dimensions, alt, position), and options with typed values — perfect for a Shopify collection scraper, Shopify variant scraper, and inventory checks. You can export the Apify dataset to CSV, JSON, or Excel to easily extract products from Shopify store pages and scrape Shopify products to CSV for downstream analysis.

Key features

• ⚡️ Bold-scale batching — Bulk URL input lets you scrape Shopify products from multiple stores, collections, or product pages in a single run. Ideal for a Shopify store scraper and cross-store analysis.
• 🛡️ Smart proxy fallback — Starts with no proxy by default; if blocked, it automatically escalates to datacenter, then residential proxy with retries and sticks with residential for stability.
• 🧭 Collection & storefront coverage — Scrape direct product URLs, collection handles, or discover collections from the homepage for broader Shopify collection scraper coverage.
• 💰 Accurate price & stock capture — Captures variant-level prices (current and compare-at) and stockStatus for Shopify price scraper and Shopify inventory scraper workflows.
• 🧱 Structured, developer-friendly output — Clean JSON with consistent product schema (source, title, brand, categories, tags, variants, medias, options) ready for APIs and pipelines.
• 🧩 Export & integrate — Use Apify’s dataset to export JSON/CSV/Excel and connect to automation tools (Make, Zapier, n8n) or data stacks — a robust Shopify product export tool for analytics.
• 🚀 Production-ready at scale — Async concurrency with resilient retries and proxy rotation for reliable high-volume Shopify data extraction. A robust alternative to any fragile Shopify scraper Chrome extension.

How to use Shopify Scraper - step by step

1. Sign in to Apify (free trial available) and open the Shopify Scraper actor in the Apify Console.
2. Add your Start URLs:
   • Paste Shopify store homepages, collection URLs, or direct product URLs as a list of strings.
   • Examples:
     • https://store.com/
     • https://store.com/collections/shoes
     • https://store.com/products/blue-sneakers
3. Optional: Set maxResults to cap products per URL (0 means no limit; default is 100).
4. Optional: Add a query string for your reference (stored in output config), and set maxRecommendationsPerProduct (stored in output config).
5. Optional: Configure Proxy (leave empty to start without a proxy). The actor will automatically switch to datacenter, then residential proxies if needed.
6. Click Start. Watch the run logs for progress and any proxy fallback messages.
7. During the run, individual product items will appear in the dataset. At the end of the run, a final summary item with scraped_at, config, total_products, and products is appended.
8. Export your results from the dataset in JSON, CSV, or Excel to scrape Shopify products to CSV for BI tools and dashboards.

Pro Tip: Trigger runs via the Apify API and connect the dataset export to your data warehouse or CRM to automate Shopify competitor price monitoring and inventory updates.

Use cases

Use case name	Description
Ecommerce pricing research	Track variant prices and compare-at values to monitor competitor pricing across multiple Shopify stores at scale.
Catalog enrichment for marketplaces	Aggregate brand, title, categories/tags, options, and media to standardize product feeds for listings.
Inventory status monitoring	Capture per-variant stockStatus (“InStock” / “OutOfStock”) for stock alerts and replenishment signals.
Category and collection harvesting	Run a Shopify collection scraper on category pages to harvest large product sets efficiently.
Storefront discovery & crawling	Start from homepages, auto-discover collections, and crawl the “all” collection to maximize coverage.
Data engineering pipeline (API/Python)	Integrate outputs into ETL workflows via Apify API or use in Shopify product scraper Python scripts.
Market research & analytics	Build datasets for trend analysis, brand presence tracking, and product attribute benchmarking.

Why choose Shopify Scraper?

Built for precision, automation, and reliability, Shopify Scraper uses official storefront JSON endpoints and resilient networking to deliver consistent results.

• 🎯 Accurate, structured data — Clean JSON with stable fields for direct ingestion into analytics and apps.
• 📦 Batch scraping & bulk automation — Process many stores and collections in one run for throughput at scale.
• 💻 Developer-ready — Access via Apify API, export datasets programmatically, and plug into Python-based pipelines.
• 🛡️ Resilient proxy strategy — Automatic fallback from direct to datacenter to residential with retries for tough stores.
• 🔌 Integrations & exports — Export to CSV/JSON/Excel and connect with automation platforms without custom code.
• 🧩 Safer than extensions — A robust alternative to brittle browser-based tools (e.g., a Shopify scraper Chrome extension).
• 💰 Cost-effective scaling — Use your trial minutes for testing and scale up when you’re ready.

In short: a reliable Shopify web scraping tool that outperforms manual or unstable options with production-ready infrastructure.

Is it legal / ethical to use Shopify Scraper?

Yes — when done responsibly. This actor only collects data from publicly available Shopify storefront endpoints and does not access private or authenticated data.

Guidelines for compliant use:

• Only scrape publicly visible storefront content.
• Respect target site terms and robots where applicable.
• Comply with data protection regulations (e.g., GDPR, CCPA).
• Avoid collecting personal data and use results responsibly.
• Consult your legal team for edge cases or regulated industries.

Input parameters & output format

Example JSON input

{
  "startUrls": [
    "https://kith.com/",
    "https://store.com/collections/shoes",
    "https://store.com/products/blue-sneakers"
  ],
  "query": "",
  "maxResults": 100,
  "maxRecommendationsPerProduct": 0,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}

Parameters

Field	Type	Required	Default	Description
startUrls	array	Yes	—	Paste Shopify store URLs, one per line. Examples: Store homepage, Collection, Single product.
query	string	No	""	Optional search or filter term. Stored in the output config for your reference.
maxResults	integer	No	100	Maximum products to scrape per start URL. Set to 0 for no limit.
maxRecommendationsPerProduct	integer	No	0	How many related/recommended products to include per product (0–20). Set 0 to disable.
proxyConfiguration	object	No	—	Leave empty to start with no proxy. If a store blocks you, the actor will try datacenter then residential proxy automatically.

Output format

During the run, the dataset receives:

• One item per product with the fields shown below.
• A final summary item with scraped_at, config, total_products, and products (array of all collected product objects).

Example product item

{
  "source": {
    "id": "8347561934890",
    "canonicalUrl": "https://store.example.com/products/blue-sneakers",
    "retailer": "store.example.com",
    "language": "en",
    "currency": "USD",
    "createdUTC": "2025-11-07T10:21:41-05:00",
    "updatedUTC": "2026-02-14T16:08:19-05:00",
    "publishedUTC": "2025-11-08T09:00:00-05:00"
    },
  "title": "Blue Sneakers",
  "description": "<p>Lightweight, durable...</p>",
  "brand": "Acme Footwear",
  "categories": ["Shoes", "Men", "Blue"],
  "tags": ["Shoes", "Men", "Blue"],
  "variants": [
    {
      "id": "43852190837465",
      "title": "Blue / 42",
      "sku": "ACME-BLU-42",
      "options": ["Blue", "42"],
      "price": {
        "current": 7999,
        "previous": 9999,
        "stockStatus": "InStock"
      }
    }
  ],
  "medias": [
    {
      "id": "0",
      "type": "Image",
      "url": {
        "id": 987654321,
        "product_id": 8347561934890,
        "position": 1,
        "created_at": "2025-11-07T10:21:41-05:00",
        "updated_at": "2026-02-14T16:08:19-05:00",
        "alt": "",
        "width": 1200,
        "height": 1200,
        "src": "https://cdn.shopify.com/s/files/.../blue-sneakers.jpg",
        "variant_ids": []
      },
      "variantIds": [],
      "alt": ""
    }
  ],
  "options": [
    {
      "type": "Color",
      "values": [
        { "id": "Blue", "name": "Blue" },
        { "id": "Black", "name": "Black" }
      ]
    },
    {
      "type": "Size",
      "values": [
        { "id": "41", "name": "41" },
        { "id": "42", "name": "42" }
      ]
    }
  ]
}

Example final summary item

{
  "scraped_at": "2026-03-19 05:26:44 UTC",
  "config": {
    "startUrls": [
      "https://kith.com/",
      "https://store.com/collections/shoes"
    ],
    "maxResults": 100,
    "maxRecommendationsPerProduct": 0,
    "query": null
  },
  "total_products": 2,
  "products": [
    {
      "source": {
        "id": "8347561934890",
        "canonicalUrl": "https://store.example.com/products/blue-sneakers",
        "retailer": "store.example.com",
        "language": "en",
        "currency": "USD",
        "createdUTC": "2025-11-07T10:21:41-05:00",
        "updatedUTC": "2026-02-14T16:08:19-05:00",
        "publishedUTC": "2025-11-08T09:00:00-05:00"
      },
      "title": "Blue Sneakers",
      "description": "<p>Lightweight, durable...</p>",
      "brand": "Acme Footwear",
      "categories": ["Shoes", "Men", "Blue"],
      "tags": ["Shoes", "Men", "Blue"],
      "variants": [
        {
          "id": "43852190837465",
          "title": "Blue / 42",
          "sku": "ACME-BLU-42",
          "options": ["Blue", "42"],
          "price": {
            "current": 7999,
            "previous": 9999,
            "stockStatus": "InStock"
          }
        }
      ],
      "medias": [],
      "options": []
    },
    {
      "source": {
        "id": "8347561934891",
        "canonicalUrl": "https://store.example.com/products/black-sneakers",
        "retailer": "store.example.com",
        "language": "en",
        "currency": "USD",
        "createdUTC": "2025-11-07T10:22:11-05:00",
        "updatedUTC": "2026-02-14T16:10:01-05:00",
        "publishedUTC": "2025-11-08T09:05:00-05:00"
      },
      "title": "Black Sneakers",
      "description": "<p>Classic everyday style...</p>",
      "brand": "Acme Footwear",
      "categories": ["Shoes", "Men", "Black"],
      "tags": ["Shoes", "Men", "Black"],
      "variants": [],
      "medias": [],
      "options": []
    }
  ]
}

Notes:

• stockStatus is determined per variant as “InStock” or “OutOfStock”.
• config echoes parts of your input for traceability. query may be null when empty.
• currencies are taken from the first variant when available; otherwise defaulted to "USD".

FAQ

Is there a free trial or free tier?

✅ Yes. This actor includes 120 trial minutes in its plan so you can test the workflow and validate results before upgrading. Pricing is flat at $19.99/month thereafter.

Do I need to log in to the target store or provide cookies?

❌ No. The Shopify Scraper uses public storefront endpoints; no login or cookies are required.

Can I use this with Python or the Apify API?

💻 Yes. You can run the actor via the Apify API and process the dataset with your own Shopify product scraper Python scripts. Export data as JSON/CSV/Excel to integrate with your pipelines.

How many products can I scrape per URL?

📈 Control this with maxResults. Set maxResults to 0 for no limit; otherwise, the actor caps products per start URL at the number you choose (default 100).

What product data does it collect?

🧩 It collects structured fields including source metadata (id, canonicalUrl, retailer, timestamps), title, description, brand, categories/tags, variants with price and stockStatus, medias, and options.

Does it scrape Shopify collections and homepages?

🗂️ Yes. Provide collection URLs directly or start from store homepages. The actor attempts the “all” collection and can discover other collections from the homepage when necessary.

Can it track prices and inventory for competitor monitoring?

🔍 Yes. It captures variant-level current and compare-at prices and maps availability to stockStatus, making it suitable for Shopify competitor analysis scraper use cases.

How does the proxy fallback work?

🛡️ The run starts with no proxy. If blocked or throttled, it switches to datacenter proxy, then to residential proxy with up to 3 retries and stays on residential for the remainder of the run.

Can I export results to CSV?

💾 Yes. Open the run’s dataset and export results as CSV, JSON, or Excel to power a Shopify to CSV scraper workflow for BI and reporting.

Is scraping Shopify stores legal with this tool?

✅ Yes, when done responsibly. The actor only accesses public storefront data. Always comply with the store’s terms and applicable regulations (e.g., GDPR/CCPA) and avoid personal data.

Closing CTA / Final thoughts

Shopify Scraper is built for structured, scalable Shopify product data extraction. With bulk URL support, resilient proxy fallback, and clean JSON output, it helps marketers, developers, analysts, and researchers move from manual copy-paste to automated insights quickly. Use the Apify API and exports for Python-based pipelines, connect to automation tools, and start turning Shopify storefronts into analytics-ready datasets today.