Data Scraping for Chain Store Locations

Job ID: 38936802

Budget: $250 – $750 USD

Scrapping chain stores:
The project: obtain the addresses of the points of sale for each brand in my file (I have 3669, organized and classified in an Excel file).
The aim would be to have an Excel file for each brand, showing at least:
- Name of the unit (=name of the outlet. Ex: Boulangerie Paul Quimper)
- Address of the unit.
If other information can be retrieved, it might be interesting to add it,
for example:- GPS coordinates to ensure that the mapping will be accurate
- Date of creation of the unit (= of the sales outlet)
- Referenced website
- Google rating, etc. But not necessary.
I suppose the best place to find all this information is Google Maps, which will be the most up-to-date source. But maybe URSSAF or societe.com would be better sources, you tell me.
To put it simply, when we search for “Boulangeries Paul France” in Google Maps, we should get 408 results (that's the number of their outlets to date, cf their website). So by scrapping the data, we should be able to recreate the mapping of their locations.
Related categories: Data Entry Excel Web Scraping Data Mining