Scrape restaurants in Mexico City Turn Google Maps into a restaurant lead list

Mexico City is a restaurant goldmine

Few cities in the world pack as much food density as Mexico City. Taquerias, fondas, cafeterias, marisquerias, and fine dining rooms sit side by side across colonias like Condesa, Roma Norte, Polanco, Coyoacan, and Narvarte. According to Mexico's national statistics institute, INEGI, food and beverage services are one of the largest employers in the country, and the capital concentrates a huge share of them.

That density is exactly what makes the city a great target for prospecting with Google Maps data. Whether you sell POS systems, delivery software, reservation tools, marketing services, or supplies, every one of these venues is a public business profile with a phone number, an address, and often a website. The list you need is already on the map. You just have to capture it in a usable form.

Copying rows by hand is not an option at this scale. A free browser extension does the capture in the background while you scroll, which is where this guide starts.

How to scrape restaurants in Mexico City step by step

The process is simple once you accept one rule: work zone by zone. Google Maps limits how many results it will render for one query, so a broad search burns effort without ever showing you the full city. Here is the practical flow.

1. Install the extension. Add the free Vonsel Chrome extension. There is no trial and no card, so you can be capturing within a minute. For the full walkthrough see how to scrape Google Maps.

2. Search by colonia or alcaldia. Open Google Maps and search a local term such as restaurantes en Roma Norte, tacos Polanco, or marisquerias Coyoacan. Spanish queries surface the venues locals actually use. Repeat per zone so each search stays under the result cap.

3. Let the extension capture. As the results load, names, addresses, phone numbers, websites, ratings, and review counts are pulled into a structured list. This is the same idea behind our guide to scrape restaurants from Google Maps, applied to one specific city.

4. Export or send to the dashboard. Download the capture as CSV or Excel (see export Google Maps data to CSV), or push it straight into the Vonsel dashboard where the real work happens.

Search zones that cover the whole city

To build a list that actually represents Mexico City, split it into search zones. Mixing central colonias with outer boroughs keeps each query small enough to return full results. Here is a starting grid you can adapt.

Because Google caps results per query, this split is not optional. We explain the mechanics in why Google limits 120 results. The extension keeps every capture in one history, so you can reopen a previous scrape and add a new colonia without starting over.

Where the Vonsel dashboard takes over

The extension is the means. The end is what the Vonsel dashboard does with the data. Once your Mexico City captures are in, a plain list becomes a value added database contextualized with the pain points that make a pitch land.

Scrape responsibly and stay useful

Restaurant profiles on Google Maps are public business data, but responsible practice still matters, especially for outreach. Capture business contact details, not personal ones, and respect local marketing rules when you email or call.

The data comes from public listings that Google itself documents through the Places API, and browser extensions run inside Chrome's published extension platform. For a plain language take on the boundaries, read is it legal to scrape Google Maps. Public data still deserves a respectful pitch.

Want to widen beyond the capital? The same playbook scales to the whole country in scrape business leads in Mexico, and to the difference between capture and clean data in Google Maps data vs bought lists.