I am running a project where I need to look for a list of titles on MS Academic. I have the list of titles as full title strings, such as: "Betting Against Beta" by Frazzini and Pedersen (2014). I built a scraper with using the API, which applies the following search term: expr=And(Y>=2000,Ti='{query}'), where query is the normalized title (I prepare the normalized versions myself by lowering cases, removing non-alphanumeric characters, etc).
However, this method only yields results in some cases and returns nothing for a considerable number of other papers. Worringly, sometimes the manual search using MS Academic finds the paper, but the API is unable to return the same result. An example of mine is: "Corporate Leverage, Debt Maturity and Credit Supply: The Role of Credit Default Swaps" by Saretto and Tookes (2013). While MS Academic finds the desired item, the API is unable to find it.
My question would be: is there a way to make the search criteria less restrictive for normalized title strings? It seems to me that the API only returns search results where the normalized title is 100% match, but this then reduces the number of matches even if there would be a search result.