Saudi Arabia is one of the most data-hungry retail markets in the Gulf. The Ministry of Commerce counted 43,854 e-commerce commercial registrations at the end of Q4 2025, up from 40,041 a year earlier, with Riyadh, Makkah and Eastern provinces leading (Sharikat Mubasher, citing MoC). More online sellers mean more prices, more promotions and more catalogue changes to track every day.
What is a retail data API for Saudi Arabia? A retail data API for Saudi Arabia is a managed feed that collects public product, price, promotion, stock and seller data from KSA marketplaces and retailer websites, matches Arabic and English listings to one product record, normalises prices in SAR (including 15% VAT), and delivers it on a fixed schedule through REST API, S3, Snowflake or BigQuery.
This guide is for data and analytics heads, e-commerce directors and pricing teams at brands, retailers and distributors selling in KSA. It focuses on the engineering and governance side: which sources matter, how bilingual matching works, what a realistic SLA looks like, what the Saudi PDPL means for a public-data feed, and what to put in your RFP.
Spreadsheets and one-off scrapes break down quickly in KSA. Listings appear in Arabic and English, the same product carries different titles on each platform, and prices change several times a day around Ramadan, White Friday and payday weekends. A retail data API turns this into a stable, documented feed that your BI, pricing engine or data warehouse can rely on.
Coverage should follow where your category actually sells. The table below shows the main public online channels in KSA and what each one typically adds to a feed. Exact coverage, fields and refresh are confirmed during scoping, and only publicly visible data is collected.
| Channel type | Examples (public online stores) | What it adds to the feed | Data notes |
|---|---|---|---|
| Marketplaces | Amazon.sa, Noon | Multi-seller prices, Buy Box / featured offer, ratings, delivery promises | Many sellers per product; Arabic and English page versions |
| Fashion & lifestyle | Namshi, brand stores of global fashion retailers | Sizes, colours, size availability, sale prices | Large, fast-changing catalogues; frequent markdowns |
| Electronics & office | Jarir, eXtra | Model-level prices, bundles, instalment offers, stock by store/city where shown | Model numbers help matching; promotions tied to bank cards |
| Grocery & pharmacy | Tamimi Markets Online, Nahdi; other chains with public online stores | Pack-size prices, multi-buy promotions, availability by city | City or store selection changes price and stock |
| D2C brand stores | Stores built on Salla or Zid | Brand-direct prices, launches, bundles | Many small stores; consistent templates help scale |
In-body image 1: ksa-bilingual-product-matching-flow.png | Alt: 'Arabic and English product titles matched to one canonical SKU'
A good schema is agreed before the first crawl. These are the field groups most enterprise buyers in KSA ask for:
Bilingual matching is where most KSA feeds succeed or fail. The same perfume can appear as an English title on one site, an Arabic title on another, and a mixed title on a third. A solid retail data API handles this in layers:
Enterprise buyers should ask for the full pipeline, not just a scraper. A typical Actowiz set-up for KSA looks like this:
| Stage | What happens | What to ask a provider |
|---|---|---|
| Collection | Scheduled crawls of public pages per platform, city and language; respectful rate limits; no logins bypassed | Which pages, which cities, how often, and what happens when a site changes |
| Normalisation | SAR prices parsed, VAT flag set, units and sizes standardised, Arabic text normalised | Show a sample with raw vs normalised values |
| Matching | Bilingual product matching to your master list with confidence scores | Match-rate on our SKUs; how overrides work |
| QA | Schema checks, null-rate and price-jump alerts, row-count vs previous run, manual spot checks | Daily QA report; what is a breach and how fast is it fixed |
| Change monitoring | Diffs on price, stock, title, image and seller; site-layout change alerts | Change log format and alert channel |
| Delivery | REST API (JSON), CSV/JSON files to S3 / Azure / GCS, direct loads to Snowflake or BigQuery | Delivery time in Asia/Riyadh, retries, history retention |
SLA: agree delivery time, freshness (for example daily by 07:00 Riyadh time, or intraday during events), completeness target per source, and response time for breakages. Avoid any provider promising '100% accuracy' – public websites change, and good providers show how they detect and repair gaps. A sample feed can usually be shared within 48 hours of a scoped request.
In-body image 2: ksa-retail-feed-delivery-architecture.png | Alt: 'Saudi retail data feed delivered via REST API, S3, Snowflake and BigQuery'
Refresh rate drives cost and value. Match it to how fast each category moves and to the KSA retail calendar. Ramadan and the two Eids follow the Hijri calendar and move roughly 11 days earlier each year; Saudi National Day is fixed on 23 September (Argaam); White Friday runs in late November across Saudi Arabia and the UAE (Amazon Ads); and Amazon.sa has run an 11.11 sale (Arab News, sponsored).
| Category / use case | Normal refresh | Event refresh | Key fields |
|---|---|---|---|
| Consumer electronics (Jarir, eXtra, marketplaces) | Daily | 2–4x daily around White Friday, 11.11 and National Day | Model price, bundles, card offers, stock |
| Fashion & footwear | Daily | Daily plus markdown diffs during Ramadan/Eid and end-of-season sales | Sale price, size availability, new arrivals |
| Grocery & FMCG | Daily or weekly | Daily through Ramadan and pre-Eid | Pack price, multi-buy, availability by city |
| Health & beauty / pharmacy | Weekly to daily | Daily during White Friday and gifting seasons | Promo depth, bundles, OOS |
| Seller / MAP monitoring | Daily | Intraday on hero SKUs | Seller list, lowest offer, Buy Box |
In-body image 3: ksa-retail-event-calendar.png | Alt: 'Saudi retail event calendar – Ramadan, Eid, National Day, White Friday, 11.11'
Saudi Arabia's Personal Data Protection Law (PDPL) is overseen by the Saudi Data and Artificial Intelligence Authority (SDAIA; see also SDAIA's PDPL guide). It entered into force on 14 September 2023, and enforcement began after a one-year grace period in September 2024 (Baker McKenzie).
In plain words: the PDPL governs data that identifies people. A retail data feed should be built around product, price, promotion, stock and business-seller data – not shoppers. Actowiz feeds exclude personal data such as reviewer names, profile links or contact details unless there is a clear lawful basis, and we do not log in to or bypass protected areas.
This is general information, not legal advice. Speak to your counsel about your specific use case.
Some teams start with an in-house scraper and move to a managed feed once bilingual matching, anti-bot changes and event-season load become a full-time job. Use these points to compare options:
| RFP item | Why it matters in KSA |
|---|---|
| Source list by platform, category and city | Prices and stock can differ between Riyadh, Jeddah and Dammam |
| Arabic + English capture and matching method | Avoids duplicate products and missed competitors |
| Field dictionary with SAR / VAT rules | Keeps price indices comparable across sites |
| Refresh plan incl. event mode | Ramadan, White Friday and 11.11 need higher frequency |
| Delivery options (API, S3, Snowflake, BigQuery) | Fits your existing data stack |
| SLA, QA reports and change monitoring | Defines what 'good' looks like and how breaks are fixed |
| PDPL position, data residency and security | Answers your legal and InfoSec reviews early |
| 48-hour sample on your own SKUs | Proves coverage and match quality before you sign |
It is a managed feed of public product, price, promotion, stock and seller data from KSA marketplaces and retailers, normalised in SAR, matched across Arabic and English listings and delivered by API or cloud storage on a fixed schedule.
Yes. Where a site offers both language versions, we collect each one and link them to the same product record, so you get title_en and title_ar side by side.
Consumer prices in KSA are usually shown including the 15% VAT. We capture the displayed SAR price and add a VAT-inclusive flag so you can calculate net prices consistently.
Daily is the most common cadence, with intraday runs available for hero SKUs and event periods. Delivery options include REST API (JSON), CSV/JSON to S3, Azure or GCS, and loads into Snowflake or BigQuery.
No. Feeds are built on product and business-seller data. Shopper or reviewer personal data is excluded, in line with the Saudi PDPL. Please check specific questions with your counsel.
After a short scoping call, a sample on your own SKUs and platforms can usually be shared within 48 hours.
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