Trendyol Scraper for Product and Price Data

Trendyol Scraper: Essential Data Fields

With our Trendyol data scraper we collect detailed product information for you, listing by listing. The address carries the first keys: a Trendyol product URL is a brand or store slug, the product slug, then -p- and the numeric productContentId. Reviews sit at /yorumlar under that address, seller questions at /saticiya-sor, the shop at /magaza/name-m-storeId. Facet pages use a parallel grammar: -x-c for a category, -x-b for a brand, -r for color, -g for gender, -a with -v for an attribute and its value.

Three identifiers do the real work and they are not the same thing. The productContentId names the page itself. The productGroupId ties the color and size siblings together, and each sibling is its own -p- address, so one sweatshirt in five colors is five product ids under one group. Every buyable variant carries an itemNumber and a barcode, and a listingId binds it to one seller. Add the merchant id - the number that ends the store URL - and a price row traces to an exact seller, size and moment.

These fields give you everything you need to analyze listings, compare products, and make faster decisions across categories:

• Product name and brand, with the brand id and brand page address
• Current price and old, crossed-out price in storefront currency
• Discount percentage and value during promotions
• Installment ceiling (taksit) and the VAT rate on the line
• Stock state: in stock, almost sold out, remaining-quantity hint
• Review count and average rating in stars, counted separately
• Favorite count and rolling three-day purchase and basket counters
• Category path and the whole tree above the title
• Product images and additional photos
• Seller name, seller score and the badges the shop carries
• Free shipping flag, estimated delivery date, remaining cargo days

Additional Trendyol Data

Our service also helps you extract more specific Trendyol product data using a flexible extractor setup. These fields are useful for detailed product and seller analysis:

• SKU, seller product codes, barcodes and variant item numbers
• Seller details: shop name, registered company name, city and score
• Promotion and flash sale timing, with end date and countdown
• Country, currency and language of the storefront a row came from
• Metadata like product color, size, material and every attribute pair
• Questions put to the seller, the answers posted back, size guide values

Coverage is the part people underestimate. A listing hands out 36 products per page and stops at about page 138, roughly five thousand rows, while the category behind it can report tens of thousands of matches. A full feed is never one long crawl: we slice by category, brand, attribute and price band until every slice fits under that ceiling, then reconcile against Trendyol's own per-locale sitemaps.

Seller identity is a dataset in itself, and for brand protection it is the one that counts. A card names the winning merchant and the other shops selling the same item, each with its own score, shipping promise and price, and an authorized seller carries a badge - that is how an official brand store is told apart from a reseller on the same page. Review authors appear as masked initials, and personal data stays out of our standard exports.