Stadium Scraper

Scrape sporting goods from stadium.se, Sweden's largest sports retailer with both online and 160+ physical stores. The scraper extracts product cards from listing pages and uses Stadium's load-more pagination to get complete results.

How it works

Stadium uses infinite scroll with a "load more" button. Each load-more request returns an HTML fragment with more product cards. The scraper:

1. Extracts products from the initial page's .product-card elements
2. Follows load-more__link URLs for additional batches
3. Reads rating data from Gamifiera widget attributes

For detail pages, it parses JSON-LD Product data.

Input

Field	Type	Description
categoryUrl	string	Stadium.se category URL (recommended)
searchQuery	string	Search term (JS-rendered, may have limited results)
maxResults	integer	Limit (default: 100)
proxyConfiguration	object	Proxy settings

Category URLs work best. Search is JavaScript-rendered and may not return complete results via HTTP.

Output

Field	Type	Example
name	string	"Nike Revolution 7"
brand	string	"Nike"
price	number	699
originalPrice	number	899
currency	string	"SEK"
sku	string	"678901-001"
inStock	boolean	true
rating	number	4.9
reviewCount	number	11
url	string	Product URL
imageUrl	string	Product image
category	string	"Loparskor"
categories	array	["Sport", "Lopning", "Loparskor"]
color	string	"Black/White"

Cost

Efficient HTTP scraping, but load-more requests mean more calls for large categories. ~800 products per $1.

Notes

• Stadium price format: "2 399:-" (space-separated thousands, colon-dash suffix)
• Total product count parsed from "25 av 1334st" text
• Ratings from .gmf-rating-stars title attribute ("4.9 / 5")
• Review count from .gmf-product-rating-label ("(11)")
• Categories derived from URL path segments

Why use Stadium Scraper

• Price monitoring — Track prices, stock, and promotions across Stadium at scale
• Competitive intelligence — Compare your catalog against Stadium pricing and assortment
• Market research — Analyze category trends, new arrivals, and rating distributions
• Lead generation — Build product datasets for affiliate sites, comparison tools, or feeds
• No login or cookies required — Authenticated access not needed; works out of the box

How to use Stadium Scraper

1. Open the Input tab and provide a search query, category URL, or product list
2. Adjust optional filters such as maxResults or proxy settings
3. Click Start and wait for the run to complete
4. Download results from the Output tab in JSON, CSV, Excel, XML, or HTML
5. Schedule recurring runs from the Schedule tab if you need ongoing data

How to scrape Stadium data

This Actor automates the process of extracting structured product data from Stadium. You can run it directly from the Apify console, the Apify API, or any of the official SDKs (JavaScript, Python). The scraper handles pagination, retries, and rate limiting so you can focus on the data, not the plumbing.

Typical workflows:

• One-off export: paste a category URL or keyword, set maxResults, and run
• Scheduled monitoring: set a daily cron in the Schedule tab to track prices over time
• Programmatic integration: trigger runs from your backend via the Apify API and pull the dataset when finished
• Webhook automation: receive a callback the moment a run completes and pipe the results into Zapier, Make, n8n, BigQuery, or Google Sheets

Tips for best results

• Start small — run with maxResults: 10 before launching large jobs
• Use proxies — residential proxies reduce blocking on protected sites
• Throttle on big jobs — keep maxConcurrency modest (5–10) for stability
• Schedule runs — daily runs are usually enough for price monitoring
• Inspect the dataset schema — the Storage tab shows the full output structure

FAQ and support

Is it legal to scrape Stadium? This Actor extracts publicly available data. Always review the website's Terms of Service before scraping at scale, and respect rate limits.

Why am I getting fewer results than expected? Some categories have hidden pagination or load more on scroll. Increase maxResults and verify your filters.

Can I extract data for a single product? Yes — provide the full product URL in startUrls and the scraper will return one item.

The site blocks me — what should I do? Enable Apify residential proxies in the input. Datacenter IPs are blocked by many e-commerce sites.

For issues, feature requests, or bug reports, open a ticket in the Issues tab on the Actor page or contact support@apify.com. We monitor every actor and ship fixes quickly when sites change.