Search results from Google Drive API ordered by upload date instead of relevance

I’m working with the Google Documents List API to search through my files. When I search using the Google Drive web interface, the results show up ordered by how relevant they are to my search query. The documents with the most matches appear at the top. However, when I use the API, the search results come back sorted by the most recently uploaded files first instead of by relevance. I’ve tried different approaches but can’t get the API to return results in the same order as the web interface. What parameters should I add to make the API sort results by relevance rather than upload date?

I encountered a similar issue while developing a search tool with the Google Drive API. Unfortunately, by default, the API does not sort results by relevance, which can be quite frustrating. What I found helpful was to fetch results based on your search query and then implement a scoring system to rank them based on the frequency of search terms in the document titles and content. Additionally, experimenting with the q parameter by enclosing key phrases in quotes or using the fullText: search modifier can improve relevance. It’s not a perfect solution, but it moves you closer to the behavior of the web interface.

i feel ya, it’s annoying! I’ve faced this too. The api isn’t set to sort by relevance outta the box. You might wanna tweak your query or manually sort results once they’re returned. hope that helps!

This happens because the Drive API and web interface sort results differently. The web interface uses relevance scoring, but the API defaults to chronological order. I’ve dealt with this in enterprise document management - you can work around it by combining search strategies. Try setting the orderBy parameter to relevance if your API version supports it, though it’s not available on all endpoints. What worked for me was a two-stage approach: first, get results using refined search terms with operators like name: for filename matches, then rank them client-side based on term frequency and metadata. The API’s pretty limited here, so you’ll probably need custom relevance logic to match what the web interface does.