Methodology

# How the SallaData dataset is built

Sources, verification, categories and per-column coverage — so you know what you are buying.

Last updated
24 October 2026

SallaData is a dataset of 41,038 stores running on the Salla e-commerce platform,
compiled from public sources, including the stores' own storefronts and Salla's Mahally marketplace,
and verified in October 2026. Each store was individually confirmed to be running on Salla.
40,085 of those stores were active at verification.

For the count broken down by category, and why other sources publish different totals, see
[How many Salla stores are there?](/questions/how-many-salla-stores/)

## 1. Finding stores

Salla does not publish a directory of its merchants. Stores are discovered from publicly available
sources, covering both storefronts on salla.sa and stores on their own custom domains.

## 2. Verifying each store

A discovered address is only kept once it is confirmed to be a live Salla store. Stores that are closed
or in maintenance are kept and labelled with their status rather than dropped, so the full tier can include
them and the ranked tiers can exclude them.

## 3. Where the fields come from

Contact details, social profiles, payment options and business registration numbers are the ones each
store publishes on its own public storefront. Nothing is guessed or appended from third-party lists. When a
store does not publish a field, the cell is blank.

## 4. How categories are assigned

Salla does not publish store categories, so each store is assigned one of 21 categories
from its menu, name, description and keywords. This is accurate for most stores; spot-check before precise
targeting. The store's own menu categories are included as a separate column.

## 5. Coverage by column

Share of all 41,038 stores that have a value in each column:

| Group | Column | Coverage |
| --- | --- | --- |
| Contact | Phone | 76% |
| Contact | WhatsApp | 70% |
| Contact | Email | 55% |
| Social profiles | Instagram | 62% |
| Social profiles | TikTok | 60% |
| Social profiles | Snapchat | 36% |
| Social profiles | X (Twitter) | 22% |
| Business | BNPL providers | 44% |
| Business | Commercial registration | 39% |
| Business | Freelance licence | 31% |
| Business | VAT number | 18% |
| Store | Website & Salla link | 100% |
| Store | Store name | 89% |
| Store | Store since | 87% |
| Store | Category | 74% |
| Store | Store menu categories | 40% |

In absolute numbers: 31,354 stores have a phone number, 28,578 a WhatsApp number,
22,743 an email, 25,241 an Instagram profile, 16,178 a commercial registration
number and 7,296 a VAT number.

## 6. Ranking and tiers

Stores are ranked by data quality — how many useful fields they carry — and the tiers are nested: the
Top 10k holds the 10,000 most complete stores, each with phone, WhatsApp, email, name and category, and the
Top 20k includes it.

## 7. Freshness

Every purchase is a dated snapshot. Each record carries the date it was last verified, and every file
ships with a README of column definitions and coverage. Stores open, close and change details all the time,
so validate records before relying on them.

## 8. Corrections and removal

Store owners can ask for a record to be corrected or removed — see the
[Data Use Policy](/data-use/), or email [me@kirwako.dev](mailto:me@kirwako.dev).

## Citing this data

Aggregate figures from this page may be quoted with attribution: Source: SallaData
(salladata.com), October 2026 .

## Need the full dataset?

Search, filter and export Salla stores that match your target market.

[Get SallaData](/#get-access)

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Source: https://salladata.com/methodology/ (updated 2026-10-24)