# Reebok Price Tracker & Product Scraper (US) (`superslowsloth/reebok-products`) Actor Reebok scraper for www.reebok.com (US): the whole catalogue or any collection, one row per product with USD price range, price before markdown, discount percent, per-size stock and SKU, tags, photo and publish date. For sneaker price, markdown and restock watching. - **URL**: https://apify.com/superslowsloth/reebok-products.md - **Developed by:** [Superslow Sloth](https://apify.com/superslowsloth) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.70 / 1,000 product scrapeds 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Reebok Price Tracker & Product Scraper (US) A **Reebok scraper** and **Reebok price tracker** for [www.reebok.com](https://www.reebok.com), the US Reebok shop. Read the whole US catalogue or any collection (`sale`, `mens-shoes`) and get one flat row per product: the current price and its range in **USD**, the price before markdown, the largest discount in percent, whether it is in stock and how many sizes are, and every size or colour variant with its own SKU, price and stock flag. Run it on a schedule and diff the dataset to get a **sneaker price, markdown and restock watch**: which Club C or Nano went on sale since yesterday, by how much, and which sizes came back. No account, no API key, no login, no browser. One request returns 250 products; the whole catalogue (about 1,400 products) is six requests. ### Input | Field | Notes | |---|---| | `collections` | Reebok collections to read instead of the whole catalogue, one per line: the name from the address bar (`sale`, `mens-shoes`) or the link (`https://www.reebok.com/collections/sale`). Each is read in the order Reebok shows it. A product found by two collections is returned once, under the first. Leave empty to read the whole catalogue, newest first. A collection name Reebok does not have fails at no charge. | | `maxItems` | Products to return per collection, or for the whole catalogue (default 250, up to 25,000). 250 per page. | | `onlyOnSale` | Return only products where at least one variant is priced below its price before markdown (`on_sale`). Others are read, not returned and not charged, and do not count toward `maxItems`. | | `proxyConfiguration` | Apify datacenter proxy by default. | Example input, every reduced product in the sale collection: ```json { "collections": ["sale"], "maxItems": 5000, "onlyOnSale": true } ``` Example input, the whole catalogue: ```json { "maxItems": 2000 } ``` ### Output Prices are numbers in US dollars; `currency` is `USD` (the shop's own `/meta.json` says so). A field the shop did not send is `null`, never `0` or `""`. | Field | Notes | |---|---| | `query`, `position` | The shop URL (whole catalogue) or collection URL that first found the product, and its place in that list (1 is first, 250 per page). The whole catalogue is newest-published first. | | `store` | `www.reebok.com`. | | `product_id`, `handle`, `url` | Shopify's product id (a string), its URL handle, and the product link. One product is one colourway of a style, with its sizes as variants. | | `title`, `vendor`, `product_type` | As the shop sends them (`Men's Club C 85 Shoes`, `Reebok`, `Shoes`). Null when empty. | | `tags` | The shop's own merchandising tags (promotions, colours, categories), as sent. Not a standard vocabulary. | | `price`, `price_max` | The lowest and highest current variant price. Equal for the many products with one price; a gift card spans its amounts. | | `original_price`, `original_price_max` | The lowest and highest price **before markdown**: per variant its `compare_at_price` when that is above its price, otherwise its price. Equal to the current price when nothing is reduced. | | `on_sale` | True when at least one variant's `compare_at_price` is above its price. | | `discount_percent` | The largest reduction of any variant, `(1 - price / compare_at_price) * 100`, one decimal place. Worked out from the prices, not sent. **Null when nothing is reduced**, never 0. | | `available`, `variant_count`, `available_variant_count` | Whether any variant can be bought now, how many variants there are, and how many can be bought: the restock signal. | | `option_names` | The product's options, e.g. `["Color", "Size"]`. | | `variants` | Every variant: `variant_id`, `title` (`Black / M`), `sku`, `price`, `compare_at_price` (null when the shop sends none), `available`, and `options` (the variant's values in `option_names` order). | | `created_at`, `published_at`, `updated_at` | ISO 8601 times with the shop's offset. `published_at` is when the product went live. Reebok rewrites `updated_at` in bulk, so it is not a price-change time. | | `image_url`, `image_count` | The first photo on cdn.shopify.com, as sent (null when there is none), and how many photos there are. | Example row (real values, 2026-10-17; `tags` and `variants` shortened here to two and one entries): ```json { "query": "https://www.reebok.com", "position": 1, "store": "www.reebok.com", "product_id": "9930589438256", "title": "Men's Sleeveless Tech Training T-Shirt", "handle": "reebok-mens-train-sleeveless-tech-tee-black-144909", "url": "https://www.reebok.com/products/reebok-mens-train-sleeveless-tech-tee-black-144909", "vendor": "Reebok", "product_type": "T-Shirts", "tags": ["category-sale", "color-black"], "created_at": "2025-08-14T12:04:09-04:00", "published_at": "2025-08-16T10:54:11-04:00", "updated_at": "2026-10-17T01:09:43-04:00", "image_url": "https://cdn.shopify.com/s/files/1/0862/7834/0912/files/100243158_F_Model_eCom_87214249-129b-45fd-8a50-dbd59f9a018a.jpg?v=1764595727", "image_count": 5, "currency": "USD", "price": 14.99, "price_max": 14.99, "original_price": 20.0, "original_price_max": 20.0, "on_sale": true, "discount_percent": 25.0, "available": true, "variant_count": 6, "available_variant_count": 5, "option_names": ["Color", "Size"], "variants": [ { "variant_id": "50056742437168", "title": "Black / S", "sku": "100243158-S", "price": 14.99, "compare_at_price": 20.0, "available": true, "options": ["Black", "S"] } ] } ``` #### Honest nulls - **No ratings, reviews or stock counts.** The catalogue feed carries none. `available` says a variant can be bought, nothing more. - **`discount_percent` is null when nothing is reduced.** A `compare_at_price` equal to or below the price is not a reduction. ### Pricing Pay per event: - **$0.002** per run (`actor-start`), charged only after your input is validated, so a run that fails on bad input costs nothing. - **$0.0007** per product row written (`product-scraped`), i.e. $0.70 per 1,000 products. A row that is not written is not charged: rows filtered by `onlyOnSale`, and repeats of a product another collection already returned, are free. ### How it fetches It reads `/products.json`, the public catalogue feed every Shopify shop serves (and `/collections//products.json` for a collection). Measured 2026-10-17: HTTP 200 JSON, about 4 MB per 250 products, no key or cookie needed; 40 pages in a row in 8 seconds without a refusal. A refusal (403, 429, 430, 5xx), a 200 that is not the feed, or a dropped connection is treated as the address being blocked, and the actor rotates to a fresh one and retries. Things worth knowing, all measured: - **250 per page is the ceiling.** A larger `limit` is silently capped at 250. - **The end is an empty page.** A page past the last is HTTP 200 with `{"products":[]}`; the actor stops there. - **At most 25,000 rows per list.** Shopify refuses any page beyond `page * 250 = 25,000` with HTTP 400. Reebok is far below that; a list that reaches it is logged as capped. - **Filters on the feed are ignored.** `?vendor=`, `?product_type=`, `?q=`, `?order=` all return the same page as sending nothing, so the actor does not offer them. Collections do filter (`sale` held only reduced products), which is why they are the input. - **An unknown collection looks empty.** The feed answers an unknown name with an empty list; the actor asks the collection's own record, and a name that does not exist fails instead of being reported as empty. If Reebok changes its feed, the run fails with a message instead of returning empty rows. # Actor input Schema ## `collections` (type: `array`): Reebok collections to read instead of the whole catalogue, one per line: the name from the shop's address bar (sale, mens-shoes) or the whole link (https://www.reebok.com/collections/sale). Each is read in the order Reebok shows it. Leave empty to read the whole US catalogue, newest first (about 1,400 products). A collection Reebok does not have fails at no charge. ## `maxItems` (type: `integer`): Return at most this many products for the catalogue or for each collection. The feed holds 250 per page. Up to 25,000 are accepted, which is the most Shopify serves for any one list. ## `onlyOnSale` (type: `boolean`): Return only products where at least one size or colour is priced below its price before markdown (the on_sale field). Other products are read but not returned, not charged, and do not count toward Max products. ## `proxyConfiguration` (type: `object`): Use Apify's automatic datacenter proxy (the default). A refused request is retried from a fresh address. ## Actor input object example ```json { "collections": [], "maxItems": 250, "onlyOnSale": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `items` (type: `string`): No description # 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 = { "collections": [], "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("superslowsloth/reebok-products").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 = { "collections": [], "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("superslowsloth/reebok-products").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "collections": [], "proxyConfiguration": { "useApifyProxy": true } }' | apify call superslowsloth/reebok-products --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,superslowsloth/reebok-products" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/KAt7EtrY7SEVUEOxZ/builds/tMubvb6g9h6Iicwg3/openapi.json