Example: there's a website for all the weather radar stations in Canada that lets you see the last two hours of 10-minute radar snapshots. I wanted a dump of them to try some ML algorithms, but even after requests and emails there simply wasn't one.
So I set up a lambda to run every hour, load the website for all 31 weather stations and save all 6 images from the last hour to S3.
It took me an hour to setup. I've never gotten around to making that ML project, but lambda has kept on chugging away for me, GBs of data saved away. The only real cost is the s3 storage, still under $2/month.
Serverless is brilliant for little things like that.