Google Maps

Quick guide on using Python with the Google Maps API. Learn how to get your API key, and use the Geocoding and Distance Matrix APIs.

A small data project to visualize and analyze bad Google Maps reviews of popular European landmarks.

In this manual, you‘ll learn how to extract valuable data from Google Maps. Discover various techniques and tools to help you scrape images, extract restaurant data, gather contact details, scrape reviews, and much more.

How to complete your contact database with phone numbers, emails, addresses, ZIP codes, and social media details from places registered on Google Maps.

Find out how extracting quantitative data from Google Maps can help us understand and suggest improvements in the urban environment.

Your extended go-to guide on how to use the Google Maps Scraper geolocation features to the fullest.

So you’ve extracted data from the website, now what? What about a little data visualization experiment, the one involving an early morning bicycle ride through Paris?

Data collection in search for an ultimate vegan experience - here's how you can do it, even if you've never extracted Google Maps data before.

Data collection for a gastronomic mission - here's how you can do it in 6 simple steps, even if you've never collected web data before.

Area 51 Google Maps coordinates - if we scrape them, what kind of data will we get? Trick question and trickier answer.

A quick start guide to scraping gas station data, including location, fuel company name, contact details, gas prices per each gas type, and even reviews.

Heard the term API, but don't know exactly what it means? We explain the basics and list 7 characteristics of a good API.

Use our Google Places crawler to scrape data from Google Maps Our Google Places crawler lets you get lots more information from Google Maps than the official API