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URL: https://apify.com/amrameng/zap-stores-scraper

⇱ Zap.co.il Store & Review Scraper – Merchant Data Β· Apify


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Zap.co.il Store Profiles & Reviews Scraper

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Zap.co.il Store Profiles & Reviews Scraper

Store profiles and store reviews from zap.co.il (Israel's largest price-comparison marketplace). One row per store: name, category, city, website, phone(s), address, email, owner, rating, and customer reviews. Target by store URL, site ID, or a store-category listing. Read-only.

Pricing

from $10.00 / 1,000 results

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πŸ‘ Amram Englander

Amram Englander

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a month ago

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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?

  • πŸͺ Merchant directories & lead lists β€” name, phone, email, website, and rating for any store (or the whole directory), ready for CRM or outreach.
  • πŸ“ˆ Reputation monitoring β€” track any seller's rating and incoming reviews over time, and catch problems early.
  • πŸ₯Š Competitive analysis β€” compare sellers by rating, review volume, and what customers actually say.
  • βš™οΈ Automate it β€” 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 β€” 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"]
}
FieldDescription
storeUrlsOne or more store page links.
siteIdsStore IDs, if you have them instead of full links.
scrapeStoreDirectoryCrawl zap's full store directory (all stores), bounded by maxStores.
maxStoresLimit how many stores to scrape when crawling the directory. 0 = no limit.
includeReviewsScrape each store's reviews (default on). Turn off for a faster profile/contact-only run.
maxReviewsLimit reviews per store (newest first). 0 = all.
reviewsSinceOnly reviews on or after a date (YYYY-MM-DD) β€” great for scheduled runs.
proxyConfigurationProxy settings; an Israeli proxy is recommended.

Output sample

One record per store, with all reviews nested:

{
"siteId":"3516",
"name":"Χ—Χ™ ΧžΧ—Χ©Χ‘Χ™Χ",
"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":"Χ—Χ™ ΧžΧ—Χ©Χ‘Χ™Χ",
"memberSince":2011,
"ratingYearly":null,
"reviewCount":137,
"reviews":[
{
"reviewId":"1426071",
"author":"Χ§Χ¨Χ™ΧŸ Χ•Χ™Χ’ΧΧœ",
"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

FieldDescription
siteId, name, enNameStore ID and name (Hebrew / English)
category, cityWhat the store sells and where
website, phone, extraPhone, address, email, ownerContact details
memberSinceYear the store joined zap
ratingYearlyStore's recent rating (0–5; null if unrated)
reviewCountTotal number of reviews the store has
reviews[]Each review: author, date, rating, text, product bought, helpful votes
storeUrl, scrapedAtStore link and capture time

Output views

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

  • Stores β€” one row per store
  • Reviews β€” 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.

How much does it cost to scrape Zap.co.il stores?

You pay only for Apify platform usage. A profile/contact-only run (includeReviews: false) is cheapest β€” one page per store. Collecting reviews adds page requests per store. Use maxStores, maxReviews, and reviewsSince to keep runs predictable. New Apify accounts include a monthly free-usage tier that covers small runs at no cost.

FAQ

What format is the data in? Can I export to Excel or CSV? Yes β€” JSON, CSV, Excel, or HTML, or via the Apify API. One record per store with reviews nested.

Can I run it on a schedule? Yes. Schedule runs in the Apify Console and use reviewsSince to pull only new reviews for ongoing reputation monitoring.

Can I scrape only stores in one category (e.g. cellphone shops)? Not directly β€” zap's store directory isn't filtered by category. Run the Zap.co.il Product Prices & Reviews Scraper for that category, collect the merchantId values, and paste them into siteIds here.

Is the data in Hebrew? Store names and review text are in Hebrew. Contact fields, ratings, and IDs are language-neutral.

Do I need a proxy? An Israeli proxy is recommended for the most reliable results.

Feedback

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

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