Scrape restaurants in Istanbul from Google Maps, district by district

One city, thousands of restaurants

Istanbul is one of the densest restaurant markets in the world. Kebab houses in Fatih, meyhane rows in Beyoglu, seafood spots along the Bosphorus, brunch cafes in Kadikoy, and fine dining in Nisantasi all sit inside the same metro area. If you sell to hospitality (POS systems, delivery software, suppliers, web design, or reservation tools) that density is a gift, but only if you can list it fully.

The problem is that Google Maps is built for browsing, not for building a list. Scroll a few screens and you lose track of which venues you already saw. Copy a phone number by hand and you burn a minute per lead. Multiply that across a city this size and the manual route is hopeless.

That is where a browser based scraper earns its keep. It reads the same public listings you already see on the map and writes them into a clean, structured table. The map stays the source, the extension does the typing.

How to scrape Istanbul restaurants step by step

The workflow is simple once you accept one rule: never try to grab the whole city in a single search. Google Maps returns roughly 120 results per query, so a broad search like "restaurants in Istanbul" quietly hides thousands of venues. Break the city into districts and you cover everything.

Here is the loop, repeated per district:

1. Open Google Maps and search a district query. Try "restaurants in Kadikoy", then "restaurants in Besiktas", then "restaurants in Beyoglu", and so on. For dense districts, go one level deeper by neighborhood (Moda, Cihangir, Balat) so no result list hits the cap.

2. Scroll the results panel. The extension reads listings as they load, so let the left panel scroll to the end. Each row gives you the business name, address, phone, website, rating, category, and review count.

3. Capture and move on. The captured rows collect in one place. Switch to the next district and keep going. Because the tool deduplicates by place, a venue that appears in two overlapping searches is not counted twice.

If you want the full mechanics with screenshots, our how to scrape Google Maps guide walks through the same loop, and the niche-focused scrape restaurants from Google Maps post covers restaurant-specific filters. The 120-result cap itself is a documented behavior of the Google Places API, which is why splitting by area matters.

Cover both sides of the Bosphorus

A good Istanbul run treats the European and Asian sides as two campaigns. Start where your buyers are densest, then fill in. This table is a starting grid you can adapt to your niche.

Save each district as its own segment. Later, when you filter the list (for example, restaurants with fewer than 50 reviews, which often signal newer venues that still need a website or delivery setup), you can target one area at a time instead of the whole city.

The extension is the means, the dashboard is the end

Capturing names and phone numbers is the easy half. The hard half is contacting the right venues with the right message, and that is where the extension hands off to the Vonsel dashboard. Everything you capture in Istanbul flows into a mapped CRM instead of a dead CSV.

Public data, business contacts, sensible use

What you capture here is public business information: names, addresses, phones, and websites that restaurants publish themselves to be found. That is different from harvesting private personal data. Even so, outreach rules vary by country, so keep your emails relevant and easy to opt out of.

We cover the nuances in is it legal to scrape Google Maps, and it is worth understanding how Google structures place data in its own Place Details documentation. The short version: business contact data used for relevant B2B outreach is standard practice, but treat it with care.

Ready to build your Istanbul restaurant list the fast way? The capture tool is free, and everything above happens inside one dashboard.