Daraz Scraper - South Asia Product Prices & Sellers avatar

Daraz Scraper - South Asia Product Prices & Sellers

Pricing

from $2.10 / 1,000 results

Go to Apify Store
Daraz Scraper - South Asia Product Prices & Sellers

Daraz Scraper - South Asia Product Prices & Sellers

Export Daraz listings in bulk across Pakistan, Bangladesh, Sri Lanka, Nepal and Myanmar: product name, brand, price, discount, rating, review and sold counts, seller name and ID, location, SKU and product URL. Download as JSON, CSV or Excel.

Pricing

from $2.10 / 1,000 results

Rating

0.0

(0)

Developer

Logiover

Logiover

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

16 hours ago

Last modified

Categories

Share

Daraz Scraper — South Asia Product Prices & Sellers

Daraz in rows: product name, brand, price, discount, rating, review and sold counts, seller name and ID, ships-from location, SKU and product URL — across Pakistan, Bangladesh, Sri Lanka, Nepal and Myanmar.

What does the Daraz Scraper do?

This Actor collects product listings from Daraz, the Alibaba-owned marketplace that dominates online retail across South Asia, and returns one row per product with the brand, seller and sold count as separate columns — the fields a price monitor or a market-entry study actually needs, and the ones a rendered product grid buries in markup.

All five Daraz country sites are the same software on different domains, so one input switch moves the crawl between them: daraz.pk, daraz.com.bd, daraz.lk, daraz.com.np and daraz.com.mm. The currency column follows the market automatically, and the run is pinned to that country's own residential addresses, because Daraz varies both pricing and availability by where the request comes from.

Who is it for?

  • Price monitoring and repricing teams tracking competitors across South Asian markets.
  • Brands and distributors checking who is reselling their products and at what price.
  • Market researchers sizing categories before entering Pakistan, Bangladesh or Sri Lanka.
  • E-commerce sellers benchmarking their listings against the rest of the category.
  • Dropshippers and sourcing agents finding products and the sellers behind them.
  • Analysts studying pricing, discounting and demand across five emerging markets.

Use cases

  • Track a category's prices daily across one or several Daraz markets.
  • Compare the same product's price in Pakistan against Bangladesh.
  • Build a seller directory with IDs, names and shipping locations.
  • Find the best-selling products in a category using the sold count.
  • Monitor discount campaigns by watching the discount column.
  • Identify unauthorised resellers of your brand.
  • Size a category by pulling every product in it.
  • Feed a price-comparison or repricing tool with live market data.

Why use this Daraz Scraper?

  • Five country sites in one Actor, with the currency set correctly per market.
  • 40 products per page, so a thousand-row export is twenty-five requests.
  • Seller name and seller ID on every row, which turns a product export into a seller directory.
  • Sold count and review count, the two signals that separate a listing that moves from one that sits.
  • Country-pinned residential proxying, because Daraz shows different prices and stock to visitors from outside its market.
  • Search terms or a whole category — pull one query or walk an entire department.

What data can you extract?

FieldDescription
itemIdDaraz's own product identifier
nameProduct title
brandNameBrand as listed
priceCurrent price as a number
currencyPKR, BDT, LKR, NPR or MMK, following the market
discountDiscount as Daraz states it, e.g. 13% Off
ratingScoreAverage rating out of 5
reviewCountNumber of reviews
soldCountUnits sold, as Daraz displays it
sellerNameStore name
sellerIdSeller identifier
locationWhere the item ships from
skuIdSKU identifier
countryMarket the row came from
imageUrlProduct image
urlDirect link to the product

Sample output

{
"itemId": "1968708690",
"name": "ACER NITRO 5 GAMING LAPTOP",
"brandName": "Acer",
"price": 130000,
"currency": "PKR",
"discount": "13% Off",
"ratingScore": 5,
"reviewCount": 7,
"soldCount": "9 sold",
"sellerName": "HAIDERISTAN",
"sellerId": "6005346352364",
"location": "Balochistan",
"skuId": "14053420666",
"country": "Pakistan",
"imageUrl": "https://pk-live-21.slatic.net/kf/S843211571d694b0bbfac489196.jpg",
"url": "https://www.daraz.pk/products/acer-nitro-5-i1968708690.html"
}

How to use the Daraz Scraper

Option A — search one market

Pick a Country site, put terms in Search terms, set Maximum products and run.

Option B — a whole category

Leave the search empty and set Category path to the path from a Daraz category URL, for example smartphones or mens-shoes.

Option C — compare markets

Run the same search term against two markets and compare the exports on price and currency.

Option D — build a seller list

Run a category deep and deduplicate on sellerId. You now have every active seller in that category with their shipping location.

Input parameters

ParameterTypeDescription
marketselectPakistan, Bangladesh, Sri Lanka, Nepal or Myanmar
searchQueriesarraySearch terms, one per line
categoryPathstringCategory path from a Daraz category URL
sortByselectPopularity, price, newest or best selling
maxItemsintegerHow many products to collect in total
proxyConfigurationobjectCountry-pinned residential proxy, required

Tips for best results

  • Leave the proxy pinned. Daraz serves each market from inside its own country; a request from elsewhere gets different prices or none at all.
  • Sort by best selling when you want what moves rather than what exists.
  • ratingScore and reviewCount fill on roughly half of listings — new products have no reviews yet, and that is genuine information rather than a gap.
  • Use several search terms in one run. The row budget is shared and every product is deduplicated across them.
  • Category paths are exact. Copy the path out of the URL rather than guessing it.

Integrations

Push results to Google Sheets, Airtable, Slack, Zapier, Make or your own service through Apify's integrations, or schedule a daily run so price changes land automatically.

API usage

curl -X POST "https://api.apify.com/v2/acts/YOUR_USERNAME~daraz-scraper/runs?token=YOUR_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"market": "pk",
"searchQueries": ["laptop"],
"maxItems": 1000
}'

Results export as JSON, CSV, Excel, XML or RSS.

Use with AI agents (MCP)

Exposed as a tool through Apify's MCP server, so an agent can check a price, find sellers or compare markets on demand.

FAQ

Do I need a Daraz account or API key?

No. The listing data this Actor reads is what any visitor's browser receives.

Which countries are covered?

Pakistan, Bangladesh, Sri Lanka, Nepal and Myanmar — every Daraz market, switchable from one input field.

How many products can one run return?

Categories and popular searches page deep, so several thousand rows from one run is normal. A narrow search naturally exhausts sooner.

Why is the proxy required?

Daraz serves each market from inside its own country and varies prices, stock and even which sellers appear. Running from the wrong country produces data that does not match what a local buyer sees.

Why are ratingScore and soldCount sometimes empty?

Because the product has no reviews or no recorded sales yet. Daraz omits the figure rather than showing a zero, and the Actor reports what was there.

Can I get every seller in a category?

Yes — run the category deep and deduplicate the export on sellerId.

Can I export to CSV or Excel?

Yes — JSON, CSV, Excel, XML and RSS.

How fresh is the data?

Every run fetches live from Daraz.

Why did my run return zero products?

Usually a category path that does not exist on the chosen market. Open the category on the site first and copy the path out of its URL.

This Actor reads publicly available listing data, which is generally lawful to collect. You are responsible for how you use it — check Daraz's terms, respect intellectual property in images and descriptions, and do not use seller details for unsolicited bulk contact.

Pair with the other marketplace and e-commerce Actors in the store to cover Southeast Asia, the Middle East and Africa alongside South Asia.