Diego Moretti

Scraping data from Google Street View to advance research goals is certainly possible but does require care to follow ethical data practices. Here are some pointers that may help guide your web scraping development:

- Thoroughly review Google's terms of service on allowable usage as you build your scraper. Stay within reasonable bounds of fair use for non-commercial work.

- Use proper time delays, sampling, and throttling so your scraper does not overload or disrupt Google's systems. Avoid aggressive data collection.

- Do not redistribute full copies of copyrighted Street View images outside your project. Process them into deidentified analytical datasets.

- Transparently document your methodology and intent in any publications. Making collected data publicly available may help build goodwill.

- Consider using Street View static image APIs where feasible before resorting to broad scraping.

- Develop the scraper to be courteous and minimally invasive regarding Google resources to avoid issues.

There are GitHub repositories that could provide helpful sample code, but do exercise ethical responsibility. I'm happy to advise further as you navigate creating the scraper. Please feel free to reach out anytime.

Technically scraping is not legal (if I'm not mistaking) so first you would need to make sure if Google is okay with that. Most likely they are but still it. After that internet is full of tutorials.

read this

https://oxylabs.io/blog/how-to-scrape-google-maps

Perhaps : http://docs.scrapy.org/

Ok, if you sure that it is legit, this is the tutorial https://hackernoon.com/how-to-scrape-data-from-google-maps-using-python

I used packages for other website so they work, might just need few adjustments incase versions have changed.

yes you can do it quickly in python

I share with you a project I did about scraping with python and neo4j

https://scrapinginpython.blogspot.com