Twitter(X) Comment Scraper:Support Sentiment&Tone Analyzer avatar
Twitter(X) Comment Scraper:Support Sentiment&Tone Analyzer

Pricing

$15.00/month + usage

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Twitter(X) Comment Scraper:Support Sentiment&Tone Analyzer

Twitter(X) Comment Scraper:Support Sentiment&Tone Analyzer

Developed by

fastcrawler

fastcrawler

Maintained by Community

Extract all Twitter/X comments for just $0.01 – No cookie required! With advanced sentiment and tone analysis, easily sort all replies by relevance or likes. Fast, accurate, and designed for efficiency, it’s the ultimate tool for analyzing complete Twitter conversations without needing cookies.

5.0 (1)

Pricing

$15.00/month + usage

10

Total users

159

Monthly users

29

Runs succeeded

>99%

Issue response

4.4 hours

Last modified

3 days ago

Twitter/X Reply/Comment Scraper:Support Sentiment&Tone Analyzer 2025

Discover the power of Reply Fast Scraper—your ultimate tool for extracting and analyzing Twitter/X replies and comments with ease. Sort replies by relevancy, likes, or latest, and enjoy advanced sentiment and tone analysis for deeper insights.

Designed for unmatched speed and precision, Reply Fast Scraper lets you extract data at a blazing 100 replies per second. Customize your extraction with advanced filters to get exactly what you need. Perfect for researchers analyzing conversations or businesses tracking customer feedback and trends.

Starting at just $15/month, unlock effortless data scraping and turn Twitter replies into actionable insights!

Contact and Feature Requests

  • If you need customized features or have specific requirements
  • support for second-level tweet monitoring
  • Real-time username change monitoring
  • real-time follow activity monitoring, feel free to contact me
  • If you need any sort of support, please send an email to fastcrawler9@gmail.com | tg | discord

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Cost

Tweet Reply Cost

Input Parameters

FieldTypeDescription
tweetUrlstringURL of the tweet. eg: https://x.com/realDonaldTrump/status/1844869841087258770
sentimentAnalysisbooleanAnalyze the provided tweet and identify the primary \n\n tone (Positive, Negative, Neutral, Humorous, Sarcastic, Enthusiastic, Angry, Informative) \n\n sentiment (Positive, Negative, Neutral). \n\n Note: The analysis may take longer when checked.
rankingModestringSort replies by:["Relevancy", "Latest", "Likes"]
maxItemsIntegerMaximum number of items that you want as output.

Output Example

{
"commentId": "1844873984250138716",
"userId": "1355721251180961792",
"isBlueVerified": true,
"twitterName": "Gunther Eagleman™",
"twitterUsername": "GuntherEagleman",
"viewCount": "250756",
"replyContent": "@realDonaldTrump If you support President Trump, we are family! \n\nVote for law and order!",
"likeCount": 6808,
"replyCount": 395,
"retweetCount": 486,
"quoteCount": 12,
"bookmarkCount": 20,
"createdAt": "Fri Oct 11 22:53:28 +0000 2024"
}