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Google map data extractor install#
Google map data extractor driver#
Google map data extractor software#
Google map data extractor download#

Z: The zoom level on the map (bigger means closer).

The format is as LAT: The latitude of the location we would like to see The next stage was to figure out the Google Maps URL I needed to use so I could navigate to it in Selenium. We now have the browser object ready browser = selenium_webdriver.Firefox( options=browser_options, firefox_binary="~/working/firefox/firefox", capabilities=capabilities_argument )Īt last, I can start to grab some Google Maps data. # Even more setup! capabilities_argument = selenium_DesiredCapabilities().FIREFOX capabilities_argument = True # This is the money. browser_options = selenium_options() browser_options.add_argument("-headless")įinally, I add the capabilities and instance the browser. I do not want an actual window of Firefox to get generated so instead I start it in “headless” mode. # Import the libraries for selenium from selenium import webdriver as selenium_webdriver from import Options as selenium_options from _capabilities import DesiredCapabilities as selenium_DesiredCapabilities To do this in Python first load the packages from Selenium and instance a Firefox session. Remember that I am going to run a web browser in the background and use it to load Google Maps and extract some data.

Google map data extractor install#

Last but not least install some of the extra packages needed for running the code apt-get install -y libgtk-3-0 libdbus-glib-1-2 xvfb # Setting up the virtual display for Firefox export DISPLAY=:99 Launching the Browser from webdriverdownloader import GeckoDriverDownloader gdd = GeckoDriverDownloader() gdd.download_and_install("v0.23.0") In the Kaggle notebook, I ran the following to actually install the driver. Using pip: pip install webdriverdownloader pip install seleniumįinally, I got to my python code. While at it I also loaded the Selenium package.

Google map data extractor driver#

Next, I needed to install a driver to allow for communication between python and firefox. ~/working/firefox chmod -R 777 ~/working/firefox Now copy the extracted files into this new directory and set the permissions to allow execution by all. To make it clean I created a new working directory for this project: mkdir ~/working/firefox Once extracted note the location of your directory.

Google map data extractor download#

The first step is to download and unpack a distribution of Firefox which will be our automated browser.

Google map data extractor software#

To start I must first install the required software to allow us to emulate a browser in order to extract the image data from Google Maps (in addition to some other data). My working environment is with Kaggle which is an online data and notebook website which is super useful. The data table with Names and Coordinates of the places that were marked in Google Maps will be loaded as an Excel table.As for my toolkit, we are using Python for everything and leveraging the packages for Selenium (web browser emulator used for automation), Pillow (image handling library) and Matplotlib (plotting data values). In the next Dialogue for Open XML, Select ‘As an XML table’ and Click OK There will be a warning message, but click on Yes against the question ‘Do you want to open it anyway?’ Either drag this file into an Excel or use Excel to open this KML file. In the dialogue box for Export to KML/KMZ, Select the Layer Name instead of Entire Map > Mark the checkbox against the Label ‘Export as KML instead of KMZ’ > Click on DownloadĪ KML file with the same layer name will be downloaded automatically. To export this data into Excel, Click on the 3 dot menu against the Map name > Select Export KML/KMZ If you want to see the list of added places, click on the 3 dot menu against the layer name and select Open Data Table Once you have located the place click on the location on Map, Select Add to Map Locate the places either manually or Type in the place name in the search bar

Let me explain the process of adding 6 Municipal Corporations of Kerala to a personalized Map in Google and exporting that data into ExcelĪdd and Name a layer (Here I will name the Layer as Municipal Corporations Kerala) Places marked in Google Maps can be exported as KML files and these files can be viewed or edited in Excel or any other text editor.