Analyze public replies to a product launch tweet

Created by

Khadin Akbar

Actor

X (Twitter) Replies Scraper - Tweet Replies, No Login

Collect reply text, author details, and engagement metrics from a specific launch post for sentiment review and stakeholder reporting.

Try for free

X (Twitter) Replies Scraper - Tweet Replies, No Loginkhadinakbar/x-twitter-replies-scraper

Parent Tweet URL

Ranking Mode

Reply URL

Reply Text

+9 fields

Input

Tweet URLs or IDs(required):https://x.com/OpenAI/status/2065225362544726371

Reply ranking mode:Relevance

Maximum replies:10

Maximum pages per tweet:10

Dedupe replies:true

Output fields

Parent Tweet URL

Ranking Mode

Reply URL

Reply Text

Created At

Author Username

Author Name

Author Followers

Likes

Retweets

Replies

Views

Language

How it works

Sign up on Apify or log in

The X (Twitter) Replies Scraper - Tweet Replies, No Login Actor is ready to run with the inputs already set for "Analyze public replies to a product launch tweet". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze public replies to a product launch tweet" task

The X (Twitter) Replies Scraper - Tweet Replies, No Login Actor will start running based on the input automatically. You can also change all the input fields, like tweet urls or ids, reply ranking mode, and more, to match your specific use case.

Receive the "Analyze public replies to a product launch tweet" 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 parent tweet url, ranking mode, reply url, 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 "Analyze public replies to a product launch tweet" task via API.