Zap.co.il Store Profiles & Reviews Scraper

Zap.co.il Store Profiles & Reviews Scraper extracts store profiles and customer reviews from zap.co.il, Israel's largest price-comparison marketplace. Give it a store link, and get a clean record with the store's name, category, city, website, phone, address, email, owner, rating, and all of its reviews.

It's a simple tool for building merchant directories, generating leads, and monitoring store reputation. No coding required.

Why use this scraper?

• 🏪 Merchant directories & lead lists — name, phone, email, website, and rating for any store (or the whole directory), ready for CRM or outreach.
• 📈 Reputation monitoring — track any seller's rating and incoming reviews over time, and catch problems early.
• 🥊 Competitive analysis — compare sellers by rating, review volume, and what customers actually say.
• ⚙️ Automate it — schedule runs and pull only new reviews to keep your data current.

How to use it

1. Open the Input tab.
2. Paste one or more store URLs (or store IDs), or turn on Scrape store directory to crawl every store.
3. (Optional) Set a proxy — an Israeli proxy is recommended for the most reliable results.
4. Click Start. When it finishes, view or download the data as JSON, CSV, or Excel.

Input

You only need one target. Example:

{
    "storeUrls": ["https://www.zap.co.il/clientcard.aspx?siteid=3516"]
}

Field	Description
storeUrls	One or more store page links.
siteIds	Store IDs, if you have them instead of full links.
scrapeStoreDirectory	Crawl zap's full store directory (all stores), bounded by maxStores.
maxStores	Limit how many stores to scrape when crawling the directory. 0 = no limit.
includeReviews	Scrape each store's reviews (default on). Turn off for a faster profile/contact-only run.
maxReviews	Limit reviews per store (newest first). 0 = all.
reviewsSince	Only reviews on or after a date (YYYY-MM-DD) — great for scheduled runs.
proxyConfiguration	Proxy settings; an Israeli proxy is recommended.

Output sample

One record per store, with all reviews nested:

{
    "siteId": "3516",
    "name": "חי מחשבים",
    "enName": "18Comp",
    "category": "Computers & peripherals",
    "city": "Yokneam",
    "website": "18comp.co.il",
    "phone": "052-6869366",
    "extraPhone": null,
    "address": "HaAlonim 66, Yokneam",
    "email": "18haycomp@gmail.com",
    "owner": "חי מחשבים",
    "memberSince": 2011,
    "ratingYearly": null,
    "reviewCount": 137,
    "reviews": [
        {
            "reviewId": "1426071",
            "author": "קרין ויגאל",
            "date": "2024-10-18",
            "ratingStars": 5,
            "text": "Professional and courteous service. Fast phone response…",
            "productBought": "Laptop",
            "helpful": 0,
            "notHelpful": 0
        }
    ],
    "storeUrl": "https://www.zap.co.il/clientcard.aspx?siteid=3516",
    "scrapedAt": "2026-05-30T00:00:00.000Z"
}

You can download the dataset in JSON, CSV, Excel, or HTML, or pull it via the API.

Output fields

Field	Description
siteId, name, enName	Store ID and name (Hebrew / English)
category, city	What the store sells and where
website, phone, extraPhone, address, email, owner	Contact details
memberSince	Year the store joined zap
ratingYearly	Store's recent rating (0–5; null if unrated)
reviewCount	Total number of reviews the store has
reviews[]	Each review: author, date, rating, text, product bought, helpful votes
storeUrl, scrapedAt	Store link and capture time

Output views

The Output tab gives you two ready-made tables of the same run:

• Stores — one row per store
• Reviews — one row per review (with the store name attached), great for analysis

Want stores for a specific category? (e.g. only cellphone shops)

zap's store directory isn't filtered by category, so this scraper can't pull "only cellphone stores" on its own. The accurate way is to first find the merchants that sell that category, then profile them here:

1. Run the Zap.co.il Product Prices & Reviews Scraper with your category (e.g. e-cellphone) and parts: ["offers"]. Each offer includes a merchantId.
2. Collect the unique merchantId values and paste them into this scraper's siteIds.

You then get full profiles + reviews for exactly the stores that sell in that category.

How many stores can I scrape?

As many as you like. Each store profile comes from one page; reviews are collected page by page. Use maxStores, maxReviews, and reviewsSince to keep runs fast and predictable. reviewCount always reports the store's true total, even when you cap the reviews collected.

Integrations

Connect the scraper to your stack with the Apify API, scheduling, webhooks, and integrations like Make, Zapier, Google Sheets, and Slack. Tip: the Zap.co.il Product Prices & Reviews Scraper gives each offer a merchant ID you can feed straight into this scraper's siteIds.

Is it legal?

The scraper collects only publicly available store information and never logs in or submits anything. Store names and reviews are in Hebrew. Because the output includes contact details, you are responsible for using the data lawfully — including anti-spam and privacy rules — and for complying with zap.co.il's Terms of Service.

Feedback

Found an issue or want a new feature? Open an issue on the Actor's Issues tab.