Questions and objections in Twitter replies

Created by

ReapX

Actor

Twitter Comment Scraper

Read reply language beside focal post and author identity to find repeated audience problems.

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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

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

How it works

Sign up on Apify or log in

The Twitter Comment Scraper Actor is ready to run with the inputs already set for "Questions and objections in Twitter replies". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Questions and objections in Twitter replies" task

The Twitter Comment Scraper Actor will start running based on the input automatically. You can also change all the input fields, like which source urls? and how many results?, to match your specific use case.

Receive the "Questions and objections in Twitter replies" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ID of the commented post, author numeric id, canonical x.com url of the commented post, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Questions and objections in Twitter replies" task via API.