# Salla Zid Stores Scraper (`temp_4all/salla-zid-stores-scraper`) Actor

Extract products, prices, and links from any Salla or Zid store in seconds. Export to Excel/CSV. | استخرج جميع منتجات وأسعار متاجر سلة وزد بضغطة زر وصدّرها كملف إكسل.

- **URL**: https://apify.com/temp_4all/salla-zid-stores-scraper.md
- **Developed by:** [Fahad alfadhli](https://apify.com/temp_4all) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.01 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🛒 Salla & Zid Stores Scraper (مستخرج بيانات سلة وزد)

The ultimate data extraction tool for MENA's leading e-commerce platforms. Easily scrape products, prices, and links from any **Salla** or **Zid** store with a single click.

أقوى أداة لاستخراج البيانات من المتاجر الإلكترونية (سلة وزد). اسحب جميع المنتجات، الأسعار، والروابط بضغطة زر واحدة وصدّرها كملف Excel.

***

### 🚀 Why Use This Scraper? (لماذا تستخدم هذه الأداة؟)

Unlike basic scrapers, this tool uses advanced **Virtual Browser (Playwright)** technology to bypass Cloudflare and extract hidden data from Salla's Shadow DOM and JSON-LD SEO tags.
على عكس الأدوات العادية، هذه الأداة تستخدم متصفحات وهمية متقدمة لتخطي حماية المتاجر واستخراج البيانات المخفية بدقة عالية.

- **Competitor Monitoring:** Track your competitors' prices and product catalogs. (مراقبة أسعار ومنتجات المنافسين).
- **Market Research:** Discover top-selling items and average market prices. (دراسة السوق ومعرفة متوسط الأسعار).
- **Data Migration:** Quickly backup or migrate store data. (أخذ نسخة احتياطية من بيانات المتاجر).

### ⚙️ Features (المميزات)

- ✅ **Bypass Anti-Scraping:** Built-in stealth techniques to avoid blocks.
- ✅ **Hidden Data Extraction:** Scrapes Shadow DOM and deeply nested product tags.
- ✅ **Clean Output:** Ready-to-use structured data.
- ✅ **Export Options:** Download results in Excel, CSV, JSON, or HTML.

### 🛠️ How to Use (طريقة الاستخدام)

It's incredibly simple. You don't need any coding skills!
الأمر بسيط جداً ولا يتطلب أي خبرة برمجية!

1. Go to the **Input** tab.
2. Paste the store URL in the `Store URL` field (e.g., `https://salla.sa/storename`).
3. Click **Start**.
4. Wait for the run to finish, then go to the **Storage** tab to download your Excel/CSV file.

### 📊 Sample Output (مثال على البيانات المستخرجة)

The scraper will provide a clean dataset looking like this:
الأداة ستستخرج البيانات وترتبها لك بهذا الشكل:

| Product Name (اسم المنتج) | Price (السعر) | Product Link (رابط المنتج) |
| :--- | :--- | :--- |
| عطر الورد الطبيعي 100 مل | 150 SAR | https://salla.sa/store/product-1 |
| سيروم العناية بالبشرة | 95 SAR | https://salla.sa/store/product-2 |
| مقشر الجسم بالشوفان | غير متوفر | https://salla.sa/store/product-3 |

***

**Note:** This tool is for educational and ethical market research purposes only. Please respect the terms of service of the websites you scrape.

# Actor input Schema

## `start_url` (type: `string`):

أدخل رابط متجر سلة أو زد هنا (مثال: https://salla.sa/storename)

## Actor input object example

```json
{
  "start_url": "https://salla.sa/test"
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "start_url": "https://salla.sa/test"
};

// Run the Actor and wait for it to finish
const run = await client.actor("temp_4all/salla-zid-stores-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "start_url": "https://salla.sa/test" }

# Run the Actor and wait for it to finish
run = client.actor("temp_4all/salla-zid-stores-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "start_url": "https://salla.sa/test"
}' |
apify call temp_4all/salla-zid-stores-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,temp_4all/salla-zid-stores-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/TqO2XKP1hhP6pTxZI/builds/EkdWbdF4VdmQiirjz/openapi.json