Platform · Trendyol

Trendyol Data Scraping Services

Where a daily exchange rate is not good enough, because the currency can move materially inside one day.

Trendyol data scraping is the automated collection of publicly visible Trendyol data for Turkey — with the exchange rate captured at each observation rather than once daily, instalment terms recorded as their own field, full seller offer sets, and Turkish text normalised for matching.

Our Mercado Libre page records the FX rate daily because Latin American currencies move. Turkey needs one step further: a single daily rate can introduce error large enough to change a competitive conclusion.

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Free pilot on your own Trendyol list, returned in 24 hours. No card, no trial clock — and you keep the sample data either way.

trendyol_fx.jsonl LIVE FEED

{"trendyol_product_id":"ty-771204", "product_key":"aw-tr-44810", "price_try":2499.00, "fx_rate":0.02614, "fx_observed_at":"2026-08-10T08:12Z", "fx_source":"central_bank_intraday", "instalment_count":12, "instalment_amount":208.25, "instalment_interest_free":true, "seller_name":"Example Magaza", "is_default_offer":true, "title_normalised":"Example Brand kulaklik KB-200"} {"trendyol_product_id":"ty-771204", "price_try":2499.00, "fx_rate":0.02588, "fx_observed_at":"2026-08-10T16:40Z", "note":"same TRY price, 1.0% FX move within one day"}

2 of 4,102,440 offer rowsFX stamped per observation, not per day · schema v1.9

Independence and trademarks. Actowiz Solutions is not affiliated with, endorsed by or connected to Trendyol or its owners. Trendyol and related marks belong to their respective owners, used here only to name the publicly accessible source this service collects from.

Our Data Powers

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Trendyol at a glance

How we handle Trendyol specifically

Platform-specific handling, not a generic retail template pointed at a different domain.

Platform: Trendyol across Turkey
FX handling: Rate captured at each observation, not once per day
Why: The currency can move materially within a single trading day
Instalments: Instalment count and interest-free status as separate fields
Sellers: Full offer set with seller identity
Language: Turkish text normalised with diacritics handled
Refresh: Daily standard; more frequent where FX volatility matters to you
Region: Turkey

Platform specifics

What makes Turkish marketplace data different

These are the reasons a Trendyol dataset needs its own handling rather than a shared retail schema.

Daily FX is not precise enough here

Cross-market price comparison always needs the exchange rate recorded. Most markets tolerate a daily rate. Turkey does not reliably.

What goes wrong with a daily rate

A price collected in the morning converted at an end-of-day rate produces a figure that never existed.
The error is directional during a sustained move, so it does not average out across a category.
Comparing to another market's price converted at a different moment compounds two errors.
Historical series drift when each day's rate is applied to observations taken at varying times.

We store price_try exactly as displayed, and record fx_rate, fx_observed_at and fx_source at the moment of each price observation. Conversion stays derived rather than baked in, so you can recompute against any rate and any convention.

Local currency remains authoritative on every record. Any vendor delivering a single converted figure for this market without the rate and its timestamp is asking you to trust arithmetic you cannot reconstruct.

Instalments are the dominant purchase mechanic

Instalment purchase is deeply embedded in Turkish retail, and instalment terms are displayed prominently alongside price. As on Mercado Libre, the monthly figure is frequently what shoppers compare.

Two listings at the same price differ if one offers twelve interest-free instalments and the other three.
Interest-free instalments cost the seller, so their presence signals margin and commitment.
Instalment terms are a competitive lever pulled independently of price.
Terms differ by seller on the same product, so the offer set matters.

We capture instalment_count, instalment_amount and instalment_interest_free as separate fields. We do not compute an effective price from them, because the right comparison depends on whether your buyer is price-sensitive or cash-flow-sensitive.

Turkish text and full offer sets

Turkish product titles use diacritics that trip naive matching, mix Turkish with English brand and model terms, and embed pack and quantity information in seller-formatted text.

We normalise diacritics, map brands across spellings, extract model numbers and compare attributes, delivering product_key with match_confidence. Uncertain matches are flagged rather than merged.

On the offer side, a listing frequently carries several sellers with different prices and different instalment terms. We collect the full set with is_default_offer and seller identity, because as on every marketplace we cover, the non-default offers are where brand and channel questions get answered — and here they are also where the instalment terms differ most.

Scope

What we collect on Trendyol, and what we do not

The right column matters more than the left. Anyone can list fields; the limits are what tell you whether the dataset will hold up.

✅ What we collect

Price in TRY exactly as displayed, with local currency authoritative
FX rate, timestamp and source recorded at each observation, not once daily
Conversion derived rather than baked in, so it can be recomputed
Instalment count, amount and interest-free status as separate fields
Full seller offer set with identity and default-offer flag
Turkish text normalised with diacritics handled, plus stable product identity
Match confidence per record, with low confidence flagged not merged
Campaign period recorded as context
Ratings and review text without reviewer profiles

❌ What we do not, and why

A single converted price without the rate and its timestamp
An effective price computed from instalment terms
Seller panel or any credentialed Trendyol system
Sales volumes or seller economics
Reviewer names, profiles or review histories

Core Trendyol fields

The full dictionary is agreed during scoping. These are the fields specific to this platform.

Field	What it is on this platform
trendyol_product_id	Platform product identifier, the join key
product_key / match_confidence	Normalised identity with confidence
price_try	Price in TRY exactly as displayed
fx_rate / fx_observed_at / fx_source	Rate, timestamp and source at this observation
instalment_count / instalment_amount	Number of instalments and the monthly figure
instalment_interest_free	Whether the plan carries no interest
seller_name / is_default_offer	Seller identity and whether this is the shown offer
title_raw / title_normalised	Published title and our normalised form
campaign_context	Which campaign period, if any, the observation falls within
shipping_cost / free_shipping_threshold	Shipping treatment as displayed
rating_avg / rating_count	Ratings without reviewer identity

Use cases

What teams do with Trendyol data

Auditable cross-market comparison from a volatile currency

FX rate and timestamp are recorded at each observation with conversion left derived, so a cross-market figure can be reconstructed rather than trusted.

Instalment-aware competitive analysis

Instalment count, amount and interest-free status are captured alongside price, so a competitor offering better terms at the same price is identified.

Channel monitoring across seller offers

Full offer sets with seller identity surface unauthorised sellers and show where instalment terms differ most between them.

Turkish market entry assessment

Normalised product identity with offer sets shows who currently sells a category, at what price and on what payment terms.

The 24-hour sample — run on your sources, not ours

Send us a Trendyol item or category list. We run real collection against it and return the output within 24 hours, with the platform-specific fields populated so you can check them yourself rather than take our word for it.

Real extraction from your actual sources
Returned within 24 hours
Coverage and QA note included
You keep the data either way
No card, no trial clock
Named engineer on the call

Get my free sample Book a 20-min scoping call Reply within one business day. Reference calls available under NDA.

How we engage

Three ways to engage us

Same collection pipeline and QA underneath. The difference is who holds the schedule and how the data reaches you.

Managed service (most common)

We own the collection, the QA and the delivery. You receive clean data on a schedule and never touch a scraper.

Dedicated engineer assigned to your account
Site changes fixed by us, not reported to you
Scheduled delivery to your warehouse or S3
Named contact on Slack or email

Best fit: Teams who need the data, not the infrastructure.

API access

The same collection pipeline exposed as an authenticated REST endpoint your systems query directly.

On-demand and scheduled endpoints
Rate limits agreed to your load profile
Sandbox keys for integration testing
Versioned schema with deprecation notice

Best fit: Product and engineering teams building on live data.

One-time or project extraction

A defined pull for a specific question — market sizing, diligence, a pitch, a one-off audit.

Fixed scope agreed in writing upfront
Single delivery with full QA report
Methodology documented for your records
Converts to managed if you want continuity

Best fit: Research, strategy and diligence work with a deadline.

Pricing

Every engagement is quoted individually, because the honest answer depends on your scope: how many sources, how many records, how often, and how the data reaches you. We scope it with you, run a free pilot on your own sources, and then quote a fixed monthly figure — no per-request metering and no overage billing when volumes move. Request a quote and you will have a number after one call.

Trendyol is usually collected alongside its competitors

Almost nobody buys a single platform in isolation. Trendyol data becomes useful when it sits next to the competitor set on one schema, refreshed on one schedule, so a price index or availability comparison is genuinely like-for-like.

That is what ecommerce data scraping covers, and a Trendyol-only engagement can be expanded into it without rebuilding. If you already know you need several platforms, start there instead — it is the same pipeline and usually the better scoping conversation.

FAQ

Trendyol data scraping: frequently asked questions

Platform-specific questions, including what cannot be collected here.

Because the currency can move materially within a single trading day. A price collected in the morning and converted at an end-of-day rate produces a figure that never existed.

The error is directional during a sustained move, so it does not average out across a category, and comparing to another market converted at a different moment compounds it.

We can, but conversion stays derived rather than baked in. Local currency is authoritative on every record, with the rate, timestamp and source stored alongside it.

That means you can recompute against any rate or convention. A single converted figure without the rate and its timestamp asks you to trust arithmetic you cannot reconstruct.

Because the right comparison depends on your buyer. A price-sensitive shopper compares headline price; a cash-flow-sensitive one compares the monthly figure, and instalment purchase is deeply embedded here.

We deliver count, amount and interest-free status as separate fields so you can model either, rather than embedding our judgement about your customer.

Yes, with a default-offer flag and seller identity. Instalment terms differ by seller on the same product, so the offer set carries more information here than on marketplaces without instalment culture.

As everywhere, the non-default offers are where brand protection questions get answered.

Diacritic normalisation, brand mapping across spellings, model number extraction and attribute comparison, delivering a stable product key with confidence.

Titles mix Turkish with English brand terms and embed pack information in seller-formatted text, so raw title matching fails. Uncertain matches are flagged rather than merged.

We quote individually. Drivers are category scope, whether full offer sets are required, and observation frequency — which here is partly an FX precision question rather than only a price-change question.

One scoping call, a free pilot within 24 hours, then a fixed monthly quote. Request a quote.

See real Trendyol data before you commit to anything

Send us an item or category list. We return the output within 24 hours with the platform-specific fields populated.

Get a free sample Talk to an engineer

Free pilot, no card, no obligation. If we cannot collect a field you need on this platform, the sample shows you that too.

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