General Locations
Last updated
Last updated
The General Locations search allows you to find leads that are physical locations, like cafes, coffee shops, bars, breweries, restaurants, gift shops, and more. Anything that can be found on Google Maps is fair game.
This is particularly effective for contacting independent retailers, like mom-and-pop shops.
For each shop, we extract their contact info, like email, Instagram account, phone number, and website.
Instagram DMs to independent retailers are particularly effective. Many customers have gotten incredible results from Instagram DM outreach.
For a visual walkthrough of this, watch the product demo at the top of this page.
Go to Find Leads
Click General Locations
Type in your search phrase and number of results
Search phrase can be something like "cafes in London", "restaurants in Toronto, Canada", "plant-based breweries", etc. Anything sort of search term you can type in Google Maps is fair game, so be creative!
Max results are limited to 200 per search. This is a Google Maps limitation, which is where our data is sourced. If you want to find more than 200 results, we suggest breaking down searches by neighbourhood. E.g. Italian restaurants in Yorkville, Toronto; Italian restaurants in Queen Street, Toronto, etc.
Tip: a clever trick some customers have used is to systematically search by post code. E.g. Cafes in SE1, London, Cafes in SE2, London, etc.
Click go to search, and you can see your live search results pop up.
Anything that's listed on Google Maps, which is a wide range of places, including bars, restaurants, coffee shops, cafes, gift shops, retailers, merch stores, cafes, etc.
Coverage is global.
Before the search, select the "Only include results with Instagram" or Only include results with Email" filters.
You can remove chains/ physical stores by filtering out keywords, like Walgreens, Walmart, Whole Foods, etc. Do this in the All Leads section, and apply your filters on columns like Name or Description.
The bot works by extracting data from Google Maps, and then our AI goes into each location’s website and extracts their contact info. This ensures data is as real-time and up-to-date as possible.
Fields include:
Instagram profile
Phone number
Address
Ratings
Reviews
Website
Type of location (e.g. Restaurant, cafe, coffee shop, bar, etc.)
Description
Price
Real-time data
Data does not come from any static database, which goes out of date incredibly quickly. This is important because the independent retailers are opening and closing all the time.
Global coverage
Google Maps as a data source allows you to find retailers from anywhere in the world.
Huge time saver
Doing this manually would requiring extracting every location off Google Maps manually, finding each location’s website, and then going through every link of each site to find their contact info.
Coverage is global.
This is based on Google Maps’ algorithm, which prioritizes relevance based on your search term. For example, if you search “sustainable cafes in Toronto”, it will show cafes with a sustainable focus first. If you search “cheap sustainable cafes in Toronto”, it will likely show cafes with a lower price tag first.
Yes. If a location has been found before, future searches will automatically exclude it.
A duplicate is defined as any location having the same website. This means that if a retailer has multiple locations, and each location has its own website, it will not be considered a duplicate.
Try your search phrase in Google Maps first. The results this system pulls will be very similar. This means you can experiment with nuanced search phrases like “high end restaurants in london uk” or “gluten-free restaurants in miami” to be super targeted. Then, when you’re happy with the types of results that turn up, put this search phrase in The Super SaaS.
Upload a CSV of your existing customers into the system (make sure you have each location’s website since this field is what is used to detect duplicates). As long as your list is in the system, future searches will exclude them.
This is a Google Maps limitation. It will never show more than 200 results per search. However, there are plenty of ways to get around this. See below.
Decrease your search area. Instead of searching “cafes in Toronto”, which will definitely contain more than 200 cafes, break it down by smaller geographies. E.g. “cafes in Yorkville, Toronto”, “cafes in M4W, Toronto”, etc.
Breaking down by neighbourhood, zip code, postcode, etc. can help you systematically map out an area.
Alternatively, use our Advanced Search feature (newly released, in BETA):
Refine your search phrase. For example, instead of typing “coffee shops in Los Angeles”, where there is a Starbucks around every corner, try “independent coffee shops in Los Angeles”. You can test what search phrases work best directly on Google Maps before starting a search.