what is the fastest data structure to store and access string objects in python?

I have created a python script to collect over 100,000 comments from the Youtube developer API. Originally i just use a list to append all the comments as they come in. However if I want to scale number of comments, I may need a faster means of storage. Is there any better solutions like e.g sqlite that is faster than a list? I need to both store and access the comments. The order of elements does not matter, as I use these comments for sentiment analysis.

edit: The data structure do not need to be indexed, and the ordering does not matter. I will also not be searching the data structure, just retrieving them one by one.

here is the current code snippet that I use:

 # Fetch comments    comments = []    nextPageToken = None    while len(comments) < LIMIT:        request = youtube.commentThreads().list(            part='snippet',            videoId=video_id,            maxResults=100,  # You can fetch up to 100 comments per request            pageToken=nextPageToken        )        response = request.execute()        for item in response['items']:            comment = item['snippet']['topLevelComment']['snippet']            comments.append(comment['textDisplay'])        nextPageToken = response.get('nextPageToken')        if not nextPageToken:            break

this works fine, but I can't help but feel I can increase the speed in some way.