Hepsiburada Scraper — Turkey Prices, Sellers & Discounts

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📑 Contents

• At a glance
• What this Hepsiburada scraper does
• Key features
• Who it is for
• Use cases
• How it works
• Step-by-step usage
• Input
• Output
• Proven results (local verification)
• Integrations
• Tips for better results
• Limitations
• FAQ
• Keywords
• Disclaimer

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⚡ At a glance

What you collect	Hepsiburada products: name, brand, TRY price, seller, rating, discount
Search by	Turkish keyword — several terms merged without duplicates
Sort by	Recommended, price, best sellers, most reviewed, highest rated, discount, newest
Key fields	Price & original price (TRY), discount %, seller name & ID, rating, reviews
Empty run	Still returns about 100 products from popular starter searches
Output formats	JSON, CSV, Excel, HTML and XML via the Apify Console export
Code required	None — type keywords and press Start
Typical run	100 products in under a minute; deep searches scale to thousands

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🛒 What this Hepsiburada scraper does

Hepsiburada is Turkey's leading marketplace: millions of products, thousands of sellers, and prices that move with campaigns, stock and competition. Watching that by hand — searching keyword after keyword and copying prices, sellers and ratings into a spreadsheet — is slow, and the numbers go stale before you finish. A single popular keyword such as telefon matches up to ten thousand products.

This Hepsiburada scraper turns keyword searches into a dataset you can actually work with. Type one Turkish keyword or several, pick a sort order, and it returns one clean record per product with the details that matter:

• what it is (product name, brand, SKU),
• what it costs (price in TRY, original price, discount %),
• who sells it (seller name and ID, in-stock status, campaign labels such as "30 günün en düşük fiyatı"),
• how buyers rate it (rating, review count) and a direct link back to the product page.

Whether you are running price monitoring on competing sellers, mapping a category for assortment research, or tracking discount campaigns across the marketplace, this actor gives you comparable Turkish e-commerce data in minutes instead of days of manual browsing.

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✨ Key features

• Turkish keyword search that merges cleanly — add several terms (for example telefon, laptop, kulaklik) and get one combined, de-duplicated result set, balanced across terms.
• Eight sort orders — recommended ranking, price low-to-high or high-to-low, best sellers, most reviewed, highest rated, biggest discount or newest first, so the products you care about surface first.
• Seller captured on every record — seller name and seller ID travel with the price, ready for seller-level price comparison.
• Discounts and campaigns included — original price, discount rate and campaign labels are captured whenever they apply, ready for filtering.
• Ratings paired with review counts — a 4.8 from 481 reviews and a 4.8 from 4 reviews are different signals; you get both numbers.
• Works with an empty form — press Start without changing anything and still get about 100 products from popular starter searches.
• Deep pagination — 36 products per page, walked page after page per term; raise the page cap for catalogue-scale exports.
• Clean, analysis-ready records — consistent field names, duplicates removed across terms and pages, empty values left out.
• Export anywhere — download JSON, CSV or Excel, or send results to your stack with Apify integrations and the API.

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👥 Who it is for

• Brands and distributors monitoring how their products are priced and sold on Hepsiburada.
• Marketplace sellers tracking competing sellers, prices and campaign participation in their categories.
• Price-monitoring and repricing teams who need repeatable TRY price snapshots instead of manual checks.
• E-commerce researchers mapping Turkish assortment, price bands and discount depth.
• Data analysts building Turkish e-commerce datasets and dashboards.
• Students and curious builders who want a real, explorable sample of a live marketplace without writing code.

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💡 Use cases

1. Monitor seller prices on your products

Search your product keywords, sort by price low-to-high, and compare price and merchantName across sellers. Re-run on a schedule and diff by sku to catch undercutting as it happens.

2. Map a category for assortment research

Search the category keyword in Turkish (for example kulaklik for headphones), raise Max results, and export the range: brands, price bands, ratings and sellers — enough to analyse price architecture properly.

3. Track discount campaigns

Sort by Biggest discount and watch discountRate and campaignLabels. Campaign participation ("30 günün en düşük fiyatı" and similar labels) is visible without opening each product page.

4. Find best sellers and proven products

Sort by Best sellers or Most reviewed and read rating together with reviewCount. High review volume at a strong rating is the closest thing to a proven-demand signal the marketplace publishes.

5. Compare sellers head-to-head

Because every record carries merchantName and merchantId, one export answers "who sells this cheapest, and how are they rated?" — the shortlist for competitive and partnership research.

6. Feed a pricing dashboard

Run the actor via the Apify API or on a schedule and pipe the dataset into your warehouse, BI tool or repricing model. Consistent fields across runs make week-over-week comparisons straightforward.

7. Support academic and market research

Build a citable snapshot of Turkish e-commerce at a point in time: counts by brand and price band, discount distributions, and seller concentration — all from one export instead of manual sampling.

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⚙️ How it works

1. You describe what you want — add Turkish keywords, pick a sort order, and set how much to collect.
2. The actor searches each term page by page (36 products per page), round-robin across terms so a capped run stays balanced.
3. Records are tidied as they arrive — duplicates are removed by SKU, prices stay in TRY, and each product gets a direct link to its page.
4. You get a dataset in the Apify Console: preview it in the table, filter it, and export it as JSON, CSV or Excel — or pull it through the API.

No setup, no scripts and nothing to maintain on your side. If you leave every field as it is, the actor simply collects about 100 products from the starter searches (telefon, laptop, kulaklik) so you can see the output shape right away.

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🚀 Step-by-step usage

1. Open the actor in the Apify Console and go to the Input tab.
2. Add Search terms in Turkish — telefon, laptop and kulaklik are pre-filled as a starter sample.
3. Pick a Sort order — "Recommended" is a solid default; "Price: low to high" and "Biggest discount" are the monitoring favourites.
4. Set Max results to the size you want (100 is a good first run).
5. (For deep exports) Raise Max pages per search term together with Max results.
6. Press Start and watch the live log and status counter.
7. When the run finishes, open the Dataset tab to preview records.
8. Use Export to download JSON, CSV or Excel — or open the Integrations tab to send data onward automatically.
9. Re-run any time; try scheduling daily or weekly runs to build a time series.

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📥 Input

Every field is optional. Start with the defaults, then narrow down.

Field	What it does	Example
Search terms	Turkish keywords; each searched, merged without duplicates	telefon
Sort order	Recommended, price, best sellers, reviews, rating, discount, newest	recommended
Max results	Cap on products collected across all terms	100
Max pages per search term	How deep to paginate each term (36 per page)	20
Proxy configuration	Connection settings; the default is right for most runs	default

Example 1 — Instant starter sample (zero setup)

{}

Returns about 100 products balanced across the starter searches (telefon, laptop, kulaklik).

Example 2 — Cheapest phones first

{
  "searchTerms": ["telefon"],
  "sortOrder": "artanfiyat",
  "maxItems": 200
}

Collects 200 phone listings ordered by ascending price — seller comparison in one export.

Example 3 — Biggest discounts

{
  "searchTerms": ["laptop"],
  "sortOrder": "indirimurunler",
  "maxItems": 200
}

Surfaces the deepest laptop discounts with campaign labels.

Example 4 — Most reviewed, highest rated

{
  "searchTerms": ["kulaklik"],
  "sortOrder": "degerlendirmepuani",
  "maxItems": 150
}

Ranks headphones by buyer rating, with review counts alongside.

Example 5 — Multi-term assortment pull

{
  "searchTerms": ["telefon", "tablet", "akilli saat"],
  "maxItems": 600,
  "maxPagesPerSearch": 30
}

Collects a balanced 600-product sample across three categories.

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📤 Output

Each run produces one record per Hepsiburada product (its default variant). Field names stay the same across terms and sort orders, so exports are easy to combine and compare. Empty values are simply left out of a record.

Coverage legend (from the local verification runs below): 🟢 present for nearly every record · 🟡 present when the product provides it · ⚪ present for a smaller share of records.

Product identity

Field	Meaning	Coverage
name	Product name as listed	🟢 every record
brand	Brand, e.g. Samsung	🟢 every record
sku	Product SKU (HBCV…)	🟢 every record
productUrl	Direct link to the product page	🟢 every record
searchTerm	Keyword that surfaced the product	🟢 every record

Price & discount

Field	Meaning	Coverage
price	Current price in TRY	🟢 every record
currency	Always TRY	🟢 every record
originalPrice	Price before discount in TRY	🟢 nearly every record
discountRate	Discount in percent	🟡 only on discounted products

Seller & availability

Field	Meaning	Coverage
merchantName	Seller name	🟢 every record
merchantId	Seller identifier	🟢 every record
inStock	Whether the default variant is procurable	🟢 every record
campaignLabels	Campaign labels, e.g. 30 günün en düşük fiyatı	🟡 campaign products only

Buyer signals & provenance

Field	Meaning	Coverage
rating	Buyer rating (0–5)	🟢 every rated product
reviewCount	Number of buyer reviews	🟢 every record
scrapedAt	When this actor collected the record	🟢 every record

Example output record

{
  "name": "Samsung Galaxy A17 5g 256 GB 8 GB Ram (Samsung Türkiye Garantili) Mavi",
  "brand": "Samsung",
  "sku": "HBCV00009SA9G8",
  "price": 17399.07,
  "currency": "TRY",
  "productUrl": "https://www.hepsiburada.com/samsung-galaxy-a17-5g-256-gb-8-gb-ram-samsung-turkiye-garantili-mavi-p-HBCV00009SA9G8",
  "searchTerm": "telefon",
  "scrapedAt": "2026-10-23T13:43:20.272Z",
  "originalPrice": 17669.07,
  "discountRate": 2,
  "merchantName": "gureller",
  "merchantId": "a69106e7-57d4-41b0-b10f-506a18b6ccee",
  "rating": 4.7,
  "reviewCount": 791,
  "inStock": true,
  "campaignLabels": ["30 günün en düşük fiyatı"]
}

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✅ Proven results (local verification)

This actor was run locally before release. All numbers below are from those real runs — same code, same output shape you will receive.

Check	Input	Result
Starter sample	telefon (default terms), default cap	30 products collected in the sample run
Live search size	telefon, page 1	10,000 products matched (marketplace-reported total)
Live search size	laptop, page 1	10,000 products matched (marketplace-reported total)
Pagination	36 products per page, sayfa= stepping	Verified page after page with SKU deduplication

Field fill highlights from the telefon sample (30 records):

• Identity, price and seller were complete: name, brand, sku, price, currency, merchantName, merchantId, productUrl, searchTerm and scrapedAt appeared on every record.
• Ratings were present with review counts on rated products (for example 4.7 from 791 reviews) — real buyer numbers, nothing padded.
• originalPrice appeared on every sampled record; discountRate appeared on the discounted share (4 of 30) and campaignLabels on campaign products (9 of 30), by design.
• inStock was reported on every record, including out-of-stock variants (false is real data and is kept).
• Sample product links were opened and answered successfully.

What this means for you: the core columns you will filter and sort on arrive filled. A single popular term already matches 10,000 products, and multi-term deep exports go well beyond that — raise Max results and Max pages per search term together to collect at that scale.

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🔌 Integrations

Because results live in a standard Apify dataset, they flow into the tools you already use:

• Spreadsheets — export CSV or Excel, or connect Google Sheets to refresh a TRY price workbook on a schedule.
• Databases & warehouses — pull the dataset through the Apify API into Postgres, BigQuery, Snowflake or your internal catalogue.
• Automation platforms — trigger Make, Zapier or n8n workflows when a scheduled run finishes (for example: "seller undercut on SKU …").
• Chat alerts — post a Slack or email digest of the biggest discount movers after each run.
• BI dashboards — feed Looker Studio, Tableau or Power BI from the exported data for an always-current assortment view.
• Custom code — call the actor from the Apify API / SDKs in your own pricing pipeline and read structured JSON back.

A typical pattern: schedule the actor daily per keyword, then let an automation diff prices by sku and flag the biggest movers.

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💡 Tips for better results

• Search in Turkish. Hepsiburada is a Turkish marketplace — telefon, kulaklik, akilli saat return far richer results than English equivalents.
• Start with the starter sample. Run the pre-filled terms first to see the output shape, then focus on your keywords.
• Match the sort to the question. Cheapest-first answers "who is cheapest?", biggest-discount answers "what is on campaign?", most- reviewed answers "what is proven?".
• Read rating with reviewCount. A 5.0 from 4 reviews and a 4.8 from 4,800 reviews are different signals; the pair tells the story.
• Raise both caps together. Max results and Max pages per search term work as a pair; deep exports need both lifted.
• Keep runs comparable. Same terms and sort on a schedule give you a clean time series; changing inputs mid-series breaks comparisons.
• Split broad topics into terms. Several focused keywords collect a wider overall selection than one very broad term alone.

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⚠️ Limitations

• Search-result data. The actor collects what search listings show for your terms. Variant-level detail beyond the default variant lives on each product page — follow productUrl.
• Default variant per product. One record represents the product's default variant (its headline price and seller). Other colour / capacity variants are listed on the product page itself.
• Discounts mirror the marketplace. If a product has no campaign, there is no discount to report. The actor never invents one.
• Prices move. TRY prices, campaigns and stock change through the day — treat each run as a timestamped snapshot (scrapedAt).
• Turkish catalogue. Content, currency and campaign labels are Turkish (TRY) by design; that is the marketplace's own language.

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❓ FAQ

Do I need a Hepsiburada account?

No. The actor works with public search results. Just press Start.

What happens if I run it with no input at all?

You still get data: about 100 products balanced across the starter searches (telefon, laptop, kulaklik). It is the fastest way to see exactly what the output looks like.

How many products can I collect?

A single popular term matches up to 10,000 products. Set Max results and raise Max pages per search term (36 products per page) to collect deeply; combining terms goes further still.

Which keywords should I use?

Turkish category and product words: telefon (phone), laptop, kulaklik (headphones), tablet, akilli saat (smartwatch). Add brand names to focus on one maker's range.

Why do some products have no discount?

They are not on campaign. discountRate and campaignLabels only exist when the marketplace applies them — full-price products correctly carry neither.

Can I compare sellers for the same product?

Yes. Search the product keyword, sort by price low-to-high, and read price next to merchantName / merchantId. Every record names its seller.

Can I run this on a schedule and track price changes?

Yes. Schedule identical inputs (daily works well) and compare exports by sku and scrapedAt. Changing prices and campaigns show movement.

Which export format should I choose?

CSV or Excel for spreadsheet work, JSON for code and pipelines. The Console preview table is handy for a quick look and light filtering.

Are prices really in Turkish lira?

Yes — currency is always TRY and price / originalPrice are the lira amounts shown on Hepsiburada. No conversion is applied.

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🔍 Keywords

Hepsiburada scraper · Turkey marketplace data · Turkish e-commerce scraper · Hepsiburada prices · seller price monitoring · TRY price tracker · discount and campaign tracking · assortment research Turkey · marketplace product export · Turkish product data API

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📄 Disclaimer

This is an independent tool for collecting publicly available search information. Not affiliated with Hepsiburada. Hepsiburada is a trademark of its respective owner; product and brand names appear here only to describe what the data refers to. Please respect Hepsiburada's terms when using collected data.