![]() If we only have a single sheet, this should suffice. We need to parse CSV files, so we need to pass the link to CSV option to our code. Make sure to click the Start publishing button. Next, we need to publish the worksheet: go to File -> Publish to the Web. The premise is simple: create a new Google Spreadsheet, enter the headers (column names) and fill the table with data (rows). iterating through data to create blocks (by using a templating engine).The parser will return JSON data which can be used for any purpose required, e.g.: Upon first look, Papa Parse seems to be a general-purpose CSV parser with a no-nonsense quick-start documentation that is readable at a glance. Luckily, they provided an alternative (albeit much more general-purpose, but still usable for simple examples). It's a shame since that package seemed to offer many utility features for listing data from spreadsheets out of the box (including reading data from multiple sheets). I was excited while reading their npm page, but the Github readme stated how the package is getting deprecated by Google's changes. The promising library user in the aforementioned example was Tabletop. The readme stated it used Google Sheets as a database, which I found interesting and decided to investigate further. One of the first results was React95 and the first link inside the showcase was a recipe app from one of the library's contributors. ![]() This brought up some nostalgia inside me and I quickly remembered there are several libraries available for recreating that classic look and feel. On a recent meeting, a fellow dev commented on a piece of software he saw as being "just like Windows 95".
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