eMAG Product Scraper — RO/BG/HU Prices & Stock

What does eMAG Product Scraper do?

Scrape eMAG product listings from emag.ro / emag.bg / emag.hu — titles, prices with currency, stock, ratings, sellers, and category paths. Review-author personal data is never fetched.

Unofficial. This Actor is not affiliated with, endorsed by, or maintained by eMAG / Dante International. It reads public catalogue pages only.

Dashboards: connect Power BI, Tableau, Looker Studio, or Qlik to the dataset API — see Export to Power BI, Tableau, Looker Studio & Qlik near the end. AI agents: paste this Actor’s Store page URL into an Apify-capable agent (MCP / Claude / Cursor with Apify), create an Apify account and API token once, and the agent can run the Actor and wire up the output.

Other catalog scrapers: Shopify Products Scraper for DTC Shopify stores and Chrono24 Watch Listings Scraper for luxury watch listings.

Why use this eMAG scraper?

• 🛒 RO / BG / HU markets in one Actor
• 💶 Prices kept with currency
• 📦 Stock / rating / seller / category fields from public listings
• 🔑 Input parameters aligned with common Store Actors for migration
• includeReviewTexts accepted for schema compatibility but never pulls review authors (PII)

What product data can you extract from eMAG?

Public catalogue fields: product title, URL, price, currency, availability, rating aggregates, seller info as published, category path, images — not review-author identity.

Use cases

• CEE ecommerce price monitoring
• Assortment / category research on eMAG
• Competitor tracking across RO/BG/HU storefronts

How to scrape eMAG products

1. Open this Actor in Apify Console.
2. Click Start on the prefilled Romanian laptops category (maxItems 5). Keep Residential + RO proxy.
3. Or paste /c category, search, or /pd/ product URLs — or use search terms + country.
4. Export JSON/CSV from the dataset, or open the Issues tab on this Store page if a run fails.

{
  "startUrls": [{ "url": "https://www.emag.ro/laptopuri/c" }],
  "country": "ro",
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "RO"
  }
}

Sample output

{
  "productId": "TESTPNK01",
  "title": "Laptop Test Model 16",
  "url": "https://www.emag.ro/laptop-test-model-16/pd/TESTPNK01/",
  "price": 4815.92,
  "originalPrice": 5200.0,
  "currency": "RON",
  "brand": "Lenovo",
  "availability": "in_stock",
  "country": "ro",
  "reviews": null
}

How much does it cost?

Pay per event (PPE): Actor start + each product result row. On Free, results are about $0.85 / 1,000; paid plans are lower (see the Pricing tab).

FAQ

Does it scrape review text authors?

No. includeReviewTexts does not fetch review-author PII.

Which domains?

emag.ro, emag.bg, emag.hu.

Is this official eMAG software?

No. It is unofficial and not affiliated with eMAG. It only reads public product listings.

Legal?

Public product facts with currency. No review-author personal data.

Shopify or watch listings in the same project?

Use Shopify Products Scraper for global Shopify boutiques and Chrono24 Watch Listings Scraper for secondary-market watches — complementary to eMAG’s RO/BG/HU marketplace.

Related Actors

Actor	Use together when…
Shopify Products Scraper	You monitor Shopify DTC catalogs alongside eMAG categories
Chrono24 Watch Listings Scraper	You add luxury watch listing prices to a multi-source pricing feed
eMAG Product Scraper	(this Actor) — emag.ro / .bg / .hu product listings

Profile: bakos_bence on Apify

For AI agents & LLM apps

Paste this Actor’s Apify Store URL into an agent that can use Apify (MCP, Claude, Cursor, etc.). With an Apify account and API token, the agent can set input, run the Actor, and fetch the dataset.

Actor ID: bakos_bence/emag-products

Purpose: Public eMAG.ro/.bg/.hu catalogue rows; no review-author PII.

Export to Power BI, Tableau, Looker Studio & Qlik

After a run, rows live in an Apify dataset. You can download JSON/CSV/Excel from the Dataset tab, or point BI tools at a CSV URL that refreshes when you scrape again.

Prefer the token in the URL (token=) — most tools only need “open this link as CSV”, with no custom headers.

Build a refreshable CSV URL

1. In Apify Console, open Settings → Integrations and copy an API token.
2. Save this Actor as a Task (optional but best for dashboards), run or schedule it once so there is a successful run.
3. Use the latest successful task run URL (replace TASK_ID and YOUR_TOKEN):

https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN

Or, from any finished run, open the Dataset tab, copy the dataset ID, and use:

https://api.apify.com/v2/datasets/DATASET_ID/items?format=csv&clean=true&token=YOUR_TOKEN

Anyone with that URL can read the data — treat it like a password. For recurring dashboards, prefer the actor-tasks/…/runs/last/… form so refresh always hits the newest successful scrape.

Power BI

1. Open Power BI Desktop → Home → Get data → Web.
2. Paste the CSV URL (including token=).
3. When asked how to sign in, choose Anonymous → Connect.
4. Confirm the preview is a table (CSV). Load or Transform data as needed.
5. Publish / schedule refresh in the Power BI service using the same URL (task runs/last keeps it current after each scrape).

401: token missing/wrong, or you did not pick Anonymous.

Tableau

1. Install Tableau’s REST API connector from Tableau Exchange (Desktop 2023.3+).
2. Connect → To a Server → REST API.
3. Paste the CSV URL (including token=). Set response format to CSV.
4. If the connector asks for auth and the token is already in the URL, leave credentials empty / anonymous; otherwise paste the same token as a Bearer access token.
5. Create an extract. Refresh the extract after scheduled Task runs (or point at runs/last so each refresh loads the latest success).

Plain Text file connect still works if you download CSV from the Dataset tab once — use REST when you want repeatable refresh.

Looker Studio

Looker Studio has no strong built-in “private CSV API” connector. Use Google Sheets as the bridge:

1. Create a Google Sheet. In A1 enter:

=IMPORTDATA("https://api.apify.com/v2/actor-tasks/TASK_ID/runs/last/dataset/items?format=csv&clean=true&status=SUCCEEDED&token=YOUR_TOKEN")

2. Wait until columns fill (Sheets refreshes IMPORTDATA periodically).
3. In Looker Studio → Create → Report → Google Sheets → select that spreadsheet / tab.
4. Build the report. After each Actor/Task run, refresh the Sheet (or wait for IMPORTDATA) then refresh the Looker data source.

One-off alternative: Dataset tab → download CSV → Looker Studio File upload.

Qlik

REST connector (refreshable):

1. In Qlik Cloud / Qlik Sense → Add data → REST (or create a REST connection in the Data load editor).
2. URL = the CSV URL including token=. Method GET.
3. Set the expected response type to CSV (or use format=json and JSON mode).
4. Test connection, pick the table, Add / Load.
5. Reload the app after scheduled scrapes; with runs/last, each reload pulls the latest successful dataset.

Files: Dataset tab → download CSV → Add data → upload the file (fine for a single snapshot).

SEO keywords

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