I have encountered similar problems, and the final choice was to use excel.
It all depends on your needs. Whichever is more convenient for you to choose. Let me talk about my situation first.

My needs at that time were only to crawl a few hundred pieces of data each time, and I would throw it away every time.
So it was more convenient to use excel. To operate excel, I used openpyxl.
It was only used to save the crawled data, not The operation style is quite simple to use.

It depends on how many thousands of pieces of data you have. If you consider that it will continue to increase in the future, it is more convenient to store it directly in the database for later operation.
Then again, if you think that saving it in excel now can meet your needs and is more convenient. , you can also save it in excel.
As the data grows in the future, I feel that excel cannot meet the demand, so I write a script to directly import the data in excel into the database.

The questioner is worried about not being familiar with MySQL. This is not a problem at all. If you have learned other databases, it is not difficult to learn MySQL.

Database

Sooner or later we have to contact you

Less data, direct text file storage is better than Excel...

I think this has nothing to do with what database is used for storage. The data crawled by the crawler can be stored in execl. Later, you can write a program to import the execl data into the database. This can also improve the speed of crawler processing. If it is stored in the database during the crawling process Not so good

If you don’t understand mysql, just use openpyxl

Save it as a csv text file, it can still be opened with Excel, and it is also convenient to import into the database.

SQLite

If you have less data and low concurrency, use Sqlite. If you are not familiar with SQL, use ORM. For example, peewee~

Definitely use a database for post-processing.