Web app lookup cache
doGet checks cache for product id. On miss, read the Products sheet, put JSON in cache for 300 seconds, then return the row.
CacheService stores short-lived strings in memory-like cache scoped to the script. Scripts use it to avoid rereading huge ranges or calling slow APIs on every web app hit. Entries expire automatically after a time-to-live you choose, up to six hours per key.
Use CacheService when repeated reads are expensive: cache a JSON lookup table for doGet, store API responses for five minutes, or hold computed summary stats between trigger runs in the same busy hour.
Skip CacheService when data must always be real time, or when values are too large. Cache values max around 100 KB per key and total cache space is limited.
Get a cache with CacheService.getScriptCache() for project-wide keys.
put(key, value, expirationInSeconds) stores a string with optional TTL up to 21600 seconds.
get(key) returns null on miss; then compute, put, and return fresh data.
remove(key) or removeAll() clears stale entries after sheet structure changes.
Document cache and user cache exist for narrower scopes when needed.
Serialize objects with JSON.stringify before put and JSON.parse after get.
doGet checks cache for product id. On miss, read the Products sheet, put JSON in cache for 300 seconds, then return the row.
UrlFetchApp result is cached ten minutes so fifty sidebar searches do not hammer the same external endpoint.
A trigger refreshes KPI JSON in cache hourly while the sidebar reads cache for instant display.
Build this without starting from a blank cell
Use a Better Sheets tool for CacheService, then watch a walkthrough when you want the full pattern.
Watch how CacheService works
Guides that explain CacheService in more depth.
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Read post →Transferring Data Between Cells in Different Spreadsheets
Read post →A web app turns your script into a URL that runs doGet or doPost when someone visits or posts data. The page can read and write your spreadsheet behind the scenes, which is useful for simple forms, internal tools, and lightweight APIs without standing up a separate server.
Read guide →The Google Sheets API lets other programs read and update spreadsheets over HTTP using JSON. It is how dashboards, backends, and mobile apps sync data without opening the Google Sheets UI. Apps Script inside a file is simpler for sheet owners; the API fits systems built in Python, Node, or other stacks.
Read guide →Automation means work happens without repeating the same clicks every day: imports update, emails send, rows move, and dashboards refresh. In Sheets, automation usually stacks built-in features, Apps Script, and sometimes the Sheets API or add-ons. Start with the lightest tool that still solves the job.
Read guide →A workflow is the path work takes through your sheet: intake, review, approval, done. Good workflows use consistent columns, statuses everyone understands, and just enough automation to move tasks forward without hiding steps from the team.
Read guide →Done reading about CacheService?
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