Sentiment Analysis Training Dataset from Replies

Created by

API Dojo

Actor

Fast Twitter (X) Replies Scraper API

Pull reply text and engagement metrics across a tweet's conversation. Structured data ready to feed into a sentiment classifier.

Try for free

Fast Twitter (X) Replies Scraper APIapidojo/twitter-replies-scraper

text

Author Name

UserName

+8 fields

Input

Tweet IDs:1981345445986402472

Use Search:true

Maximum number of items on output:500

Output fields

text

Author Name

UserName

Description

Retweets

Replies

Likes

Quotes

Views

Created At

url

How it works

Sign up on Apify or log in

The Fast Twitter (X) Replies Scraper API Actor is ready to run with the inputs already set for "Sentiment Analysis Training Dataset from Replies". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Sentiment Analysis Training Dataset from Replies" task

The Fast Twitter (X) Replies Scraper API Actor will start running based on the input automatically. You can also change all the input fields, like tweet ids, use search, and more, to match your specific use case.

Receive the "Sentiment Analysis Training Dataset from 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, text, author name, 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 "Sentiment Analysis Training Dataset from Replies" task via API.