There are three types of searches provided by the Places API: Find Place, Nearby Search and Text Search. Each allows you to specify a location with radius to start the search from. The location is specified as a latitude/longitude pair. You received ZERO_RESULTS because you didn't specify a location for your request. If the location parameter is not specified "the API uses IP address biasing by default" according to the documentation. So, there are no Aldi stores within range of the location of your IP address.
Find Place will only return one result though, in my experience, it sometimes returns two. Both Nearby Search and Text Search will return up to 60 place results. All three of the Place search requests allow specifying a radius around your location of up to 50 kilometers. If you need to find Aldi places worldwide you'll need to make quite a few requests.
I am weeks into a similar project to find all locations for a list of restaurant chains in the US. I have found that Nearby Search is a better choice for my use case and should be considered always before committing to Text Search for a project. I've tested Aldi searches with both Nearby Search and Text Search and found that they provide the identical set of place_id results. This Nearby Search request will find all Aldi locations within 50 kilometers of New York City:
https://maps.googleapis.com/maps/api/place/nearbysearch/json?location=40.785276%2C-73.9651827&name=Aldi&radius=50000&key=MY_API_KEY
Here is the same as a Text Search:
https://maps.googleapis.com/maps/api/place/textsearch/json?query=Aldi&location=40.785276%2C-73.9651827&radius=50000&key=MY_API_KEY
So why should we care? Text Search according to API documentation "... returns all of the available data fields for the selected place, and you will be billed accordingly." Furthermore "... the Text Search service is subject to a 10-times multiplier. That is, each Text Search request that you make will count as 10 requests against your quota." A Nearby Search request is less expensive and not subject to the 10x multiplier. It returns a subset of the available data fields that you might find sufficient. If you need additional data fields, you can get only what you need from a Places Detail request. Do the math for your application before you select Text Search. It might be dramatically less expensive to implement using Nearby Search followed by Places Detail requests if necessary. In any case, you don't want to be shocked when you hit quota limits unexpectedly because of the 10x multiplier OR the billed transaction costs are more than you expect!
I have found additional hurdles that should be considerations for projects attempting to find all locations for a business in a large area:
- The Places API will prefer places within your radius but will include places outside your radius if it determines they are relevant and within the 60 place limit. I have had places returned more than 450 kilometers from my requested search position.
- Results are going to be returned for places with names that are NOT what you searched for. In my search for the restaurant Benihana in Seattle a Nearby Search request only returns a restaurant with the name Hamansu. Upon investigation, this is because there is not a Benihana in Seattle, however, Hamansu is similar to Benihana in that it serves Japanese dishes grilled tableside. The API documentation states your search term will be "matched against all content that Google has indexed for this place, including but not limited to name, type, and address, as well as customer reviews and other third-party content."
- Results are returned 20 at a time. If there are more results, a page_token is provided to make a request to get the next page of up to 20 results. Each request is chargeable. You will be billed for the 3 requests required to get 60 results. I'm not saying this is bad, just be aware of the expense and quota usage you are incurring with this API.
- If there are more than 60 results for your radius then you haven't found all the possible locations within it. And, you can't determine with certainty what the effective radius covered was for the 60 results. You need to search with a small enough radius to return < 60 results for each request. A worldwide search is going to require a large quota and $ budget to pursue.