Question # How do you find Salla stores? Four methods, what each one actually gives you, and where each one runs out. Last updated 24 October 2026 There are four practical ways to find stores on Salla (سلة), the Saudi e-commerce platform: browsing Salla's Mahally marketplace, searching for salla.sa store addresses, working back from social profiles, and using a structured store dataset. The first three surface stores one at a time. Only the fourth answers "how many" and "which ones match my segment". For scale: as of October 2026, SallaData had verified 41,038 Salla stores, 40,085 of them active. Finding them one by one is possible; finding all of them that way is not. ## 1. Salla's Mahally marketplace [Mahally (محلي)](https://mahally.com/) is the shopper-facing marketplace built on Salla stores. It invites shoppers to browse "tens of thousands of local stores from Salla" and to search products by name, category and city. Because the listings come from the platform itself, a store on Mahally is a store on Salla. Good for: confirming a store runs on Salla, and browsing what sells in a category. Runs out when: you need a list. Mahally is built for shoppers buying products, not for exporting merchants: there is no download, no count per category, and nothing about a store's contacts or business registration beyond what you click through to. ## 2. Store address patterns Salla stores without their own domain are served at an address of the form salla.sa/ — one real example from the dataset preview is salla.sa/white_camellia1 . Searching for that pattern in a search engine surfaces stores that have not moved to their own domain. Good for: quick, free, ad-hoc lookups. Runs out when: merchants move to a custom domain — and established ones usually do, so this method is biased against exactly the stores most worth finding. A store on brand.com still runs on Salla, but nothing in its address says so. Search engines also cap results and return links, not fields. ## 3. Social and marketing footprints Saudi online merchants are visibly active on social platforms, and many link their storefront from their profiles. In the October 2026 dataset, 25,241 stores link an Instagram account, and TikTok and Snapchat are common too. Working backwards from that activity surfaces stores that are trading. Good for: finding merchants with commercial momentum in a niche. Runs out when: you need completeness or comparability. You see the merchants who market loudly, not the ones who sell quietly, and nothing you collect is consistent enough to compare across stores. ## 4. A structured Salla store dataset The first three methods answer "is this store on Salla?". A dataset answers "how many stores match this profile, and which ones?" — because it records the same fields for every store. In SallaData, those fields are: store name, website and Salla link, store since, category (one of 21), the store's own menu categories, phone, WhatsApp, email, Instagram, TikTok, Snapchat and X, BNPL providers, commercial registration, freelance licence and VAT numbers where the store publishes them, and the store's status and date last verified. There is no location or city column. Good for: sizing a segment, building a target list, tracking a category over time. Runs out when: you need something the dataset does not record — coverage is never total, and a blank cell means the store does not publish that field. ## What does a segment look like in practice? Say you sell to perfume stores and want ones that take buy-now-pay-later payments and are registered companies. In the October 2026 data, Perfumes & Oud has 2,625 stores, and 2,324 of them (89%) publish a phone number. Across categorised active stores, 54% offer Tamara or Tabby and 48% publish a commercial registration number — so expect roughly 1,390 active perfume stores with Tamara or Tabby, and roughly 1,250 with a CR number. Those are estimates from average field shares; the actual filtered count is in the file. Doing the same by hand would mean opening a few thousand storefronts and copying fields from each. ## Which method should you use? - Looking up one specific store — Mahally or a salla.sa search is enough, and free. - Finding a handful of merchants in a niche — social profiles, accepting the bias. - Answering how big is this segment , or building a list of more than a few dozen stores — only a dataset does that. See how many Salla stores there are for the full category breakdown. - Wanting data from inside stores (orders, products) — that is the Salla API, and it only covers stores that install your app; see Salla API vs a store database . ## Sources and method Dataset figures are from the SallaData October 2026 build; segment estimates multiply the active store count in a category by the average share of stores carrying each field. Mahally's description was read on [mahally.com](https://mahally.com/) on 24 October 2026. How stores are found and verified is in the [methodology](/methodology/). ## Related questions [How many Salla stores are there?](/questions/how-many-salla-stores/) [What is Salla?](/questions/what-is-salla/) [How do you find customers for a Salla app?](/questions/how-to-find-customers-for-a-salla-app/) [Salla API or a Salla store database?](/questions/salla-api-vs-store-database/) ## Need the full dataset? Search, filter and export Salla stores that match your target market. [Get SallaData](/#get-access) --- Source: https://salladata.com/questions/how-to-find-salla-stores/ (updated 2026-10-24)