# Shopify Products Scraper (`dami_studio/shopify-products-scraper`) Actor Scrape the full product catalog of any Shopify store via the public /products.json endpoint. One clean row per product: title, URL, vendor, type, tags, description, price range, stock, variants and images. No key, no login, no anti-bot. - **URL**: https://apify.com/dami\_studio/shopify-products-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** E-commerce, Integrations, Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $1.00 / 1,000 product returneds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Shopify Products Scraper Scrape the **entire product catalog** of any Shopify store — no API key, no login, no anti-bot. Every Shopify storefront exposes a public `/products.json` endpoint; this actor paginates it and returns one clean, flat row per product. Point it at a competitor, a brand you resell, or your own store, and get structured data you can drop straight into a spreadsheet or feed. ### What you get per product `store`, `productId`, `title`, `handle`, `url` (canonical `/products/{handle}` link), `vendor`, `productType`, `tags[]`, `description` (HTML stripped to plain text), `createdAt`, `publishedAt`, `priceMin`, `priceMax`, `available` (any variant in stock), `variantCount`, `variants[]` (`title`, `sku`, `price`, `compareAtPrice`, `available`), and `images[]` (URLs). ### Input | Field | Notes | |---|---| | `storeUrls` | One or more stores. Bare domain (`shop.com`), full URL, or any store page (`/collections/x`) — each is normalized to the origin. | | `maxItems` | Max products **per store** (default 1000). Paged 250 at a time until the cap or the catalog ends. | | `proxyConfiguration` | Optional, **off by default**. The endpoint is public with no anti-bot, so no proxy is needed. Only enable one if you hit IP rate limits on very large catalogs. | ### Output One dataset row per product, deduped by `productId` within each store. Each charged product is `ok: true`. If a URL is **not a Shopify store** (no `/products.json`, returns HTML or 404), the actor emits a single clean diagnostic row (`errorCode: "NOT_SHOPIFY"`) for that store and moves on — it never crashes, and it never charges for it. Empty catalogs return `NO_RESULTS`; bad input returns `BAD_INPUT`. ### Example ```json { "storeUrls": ["https://www.gymshark.com", "https://www.allbirds.com"], "maxItems": 500 } ```` ### Notes - Shopify caps `/products.json` at 250 products per page; the actor handles pagination automatically. - Only **published** products appear in `/products.json` — unpublished/draft products are not exposed by Shopify. - `inventory_quantity` is intentionally **not** in the public feed; per-variant stock is reported as the boolean `available`. - Some stores password-protect or disable the JSON endpoint; those come back as `NOT_SHOPIFY` rather than failing the run. - Most fields mirror Shopify's feed directly, so a few can be `null` when the store omits them: `title`, `handle`, `url`, `vendor`, `productType`, and `priceMin`/`priceMax` (null when a product has no priced variants). `tags`, `variants`, and `images` are always arrays (possibly empty). - **Pricing:** pay-per-result — you are charged once per product row (`ok: true`). Diagnostic rows (`NOT_SHOPIFY`, `NO_RESULTS`, `BAD_INPUT`, network/block errors) are `ok: false` and are never charged. # Actor input Schema ## `storeUrls` (type: `array`): One or more Shopify stores to scrape. Accepts a bare domain (shop.com), a full URL (https://shop.com), or any page on the store (https://shop.com/collections/sale) — each is normalized to the store origin. Each store's public /products.json endpoint is paginated. ## `maxItems` (type: `integer`): Maximum number of products to scrape per store before moving on. Products are paged in batches of 250 until this cap or the catalog is exhausted. ## `notionConnector` (type: `string`): Optional. Write each product as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless. ## `notionParentId` (type: `string`): Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead. ## `proxyConfiguration` (type: `object`): Optional. The /products.json endpoint is public and has no anti-bot, so no proxy is needed and the default is off (saves credits). Only enable a proxy if you hit IP rate limits on very large catalogs or many stores. ## Actor input object example ```json { "storeUrls": [ "https://www.gymshark.com", "https://www.allbirds.com" ], "maxItems": 1000, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): Scraped rows are stored in the default dataset (one row per result). Blocked/empty/error runs return a single uncharged diagnostic row instead. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "storeUrls": [ "https://www.gymshark.com", "https://www.allbirds.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/shopify-products-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "storeUrls": [ "https://www.gymshark.com", "https://www.allbirds.com", ] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/shopify-products-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "storeUrls": [ "https://www.gymshark.com", "https://www.allbirds.com" ] }' | apify call dami_studio/shopify-products-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/shopify-products-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Shopify Products Scraper", "description": "Scrape the full product catalog of any Shopify store via the public /products.json endpoint. One clean row per product: title, URL, vendor, type, tags, description, price range, stock, variants and images. No key, no login, no anti-bot.", "version": "0.1", "x-build-id": "WBJucDeqzULI00rep" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~shopify-products-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-shopify-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~shopify-products-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-shopify-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~shopify-products-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-shopify-products-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "storeUrls": { "title": "Shopify store URLs", "type": "array", "description": "One or more Shopify stores to scrape. Accepts a bare domain (shop.com), a full URL (https://shop.com), or any page on the store (https://shop.com/collections/sale) — each is normalized to the store origin. Each store's public /products.json endpoint is paginated.", "items": { "type": "string" } }, "maxItems": { "title": "Max products per store", "minimum": 1, "type": "integer", "description": "Maximum number of products to scrape per store before moving on. Products are paged in batches of 250 until this cap or the catalog is exhausted.", "default": 1000 }, "notionConnector": { "title": "Notion connector (optional)", "type": "string", "description": "Optional. Write each product as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors, then pick it here. Leave empty to skip (default) — results are always saved to the dataset regardless." }, "notionParentId": { "title": "Notion target data source ID", "type": "string", "description": "Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your workspace instead." }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Optional. The /products.json endpoint is public and has no anti-bot, so no proxy is needed and the default is off (saves credits). Only enable a proxy if you hit IP rate limits on very large catalogs or many stores.", "default": { "useApifyProxy": false } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```