This is script is a scraping script developed with Python and its automation library Selenium. Consists of reading a list of keywords, searching them in the Google Maps search, and getting its data and cover image.

The script goes one by one searching for the keyword, and storing the data in a list, to finally export it to an Excel file located in the folder specified by the user when running the script.

In the presentation video I show the script running without hiding the Chrome window, and it can be seen quite clear the process that the script follows.

However, although I have added that version in the build folder, the final version and the one it is in the source code, works without showing the Chrome window, because it works with 5 simultaneous threads to increase the speed and obtain the results faster.

For now the script works only for Spanish and English languages, however, I can add more languages in the future.

To execute this script you need to run it in the command prompt.

google_maps_scraper_juaristech.exe

Then, some questions will appear, which are necessary to run the script:

1. You will need to type "ES" for Spanish or "EN" for English.

   [1] Introduce the language, (ES o EN): 

2. You will need to specify the folder to save the output Excel and images. For example: D:\Projects\Spain\Madrid\output\

   [2] Introduce the path to save the images:

3. To finish, you need to specify where is located the .txt file with the keywords to search. For example: D:\Projects\Spain\Madrid\places.txt

   [3] Introduce the path of the keywords txt file:

Then the script starts to work, and when it finished, the Excel file would appear in the output folder.

For any doubts about how to use the program, you can read the article of our web or see the demo video.

• Explanatory article: https://juaristech.com/google-maps-scraper
• Demo video: https://youtu.be/XX-u-eNkRFs

The used requirements are specified in the requierements.txt file. If you want to execute the .py script from python, you can install the dependencies with the next command:

pip install -r requirements.txt

• Website: JuarisTech
• Email: admin@juaristech.com