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Questions and objections in Twitter replies
Created by
ReapX
Read reply language beside focal post and author identity to find repeated audience problems.
Twitter Comment Scraperreapx/twitter-comment-scraper
ID of the commented post
Author numeric ID
Canonical x.com URL of the commented post
Full comment text
TextNumberBooleanListObject
Input
Which source URLs?:https://x.com/NASA/status/2042756933686337713
How many results?:3
Output fields
ID of the commented post
Author numeric ID
Canonical x.com URL of the commented post
Full comment text
Sign up on Apify01
Create your Apify account to access the Twitter Comment Scraper.
Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
