eMAG Scraper

Scrapes product data from eMAG.ro, Romania's largest online retailer and marketplace. Electronics, appliances, fashion, books -- eMAG covers nearly every retail category in the Romanian market.

How it works

The scraper parses eMAG search result and category pages, extracting product cards with prices in RON (Romanian Lei). It handles eMAG's product card structure, including marketplace seller indicators, and visits product detail pages for full specs, ratings, and stock info.

Input

Field	Type	Required	Description
searchQuery	String	No	e.g. "laptop", "telefon"
startUrls	Array	No	eMAG category or product URLs
maxResults	Integer	No	Default: 100
proxyConfiguration	Object	No	Proxy settings

Output

Field	Type	Example
name	String	"Laptop ASUS VivoBook 15 OLED"
brand	String	"ASUS"
price	Number	2999.99
originalPrice	Number	3499.99
currency	String	"RON"
sku	String	"pDm35BBBm"
inStock	Boolean	true
rating	Number	4.6
reviewCount	Number	234
imageUrl	String	Product image
description	String	Full product text
category	String	"Laptopuri > ASUS"

Cost

~1 CU per 1,000 products.

Notes

• Prices in RON (Romanian Lei)
• Romanian-language product data
• eMAG is also a marketplace -- some products are sold by third-party sellers
• Product URLs on eMAG use encoded slugs (e.g. /laptopuri/p/pDm35BBBm)

Why use eMAG Scraper

• Price monitoring — Track prices, stock, and promotions across eMAG at scale
• Competitive intelligence — Compare your catalog against eMAG 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 eMAG 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 eMAG data

This Actor automates the process of extracting structured product data from eMAG. 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 eMAG? 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.