Pricing

$20.00/month + usage

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

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Developed by

fastcrawler

Capture all Twitter replies, including hidden and nested ones that conversation ID methods often miss. With advanced sentiment and tone analysis, quickly sort replies by likes, relevance, or emotion. No cookies required. Fast, accurate, and ideal for complete conversation scraping.

5.0 (1)

Pricing

$20.00/month + usage

Total users

182

Monthly users

Runs succeeded

>99%

Issues response

4.4 hours

Last modified

3 days ago

Social media

You can access the Twitter(X) Comment Scraper:Support Sentiment&Tone Analyzer programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "tweetUrl": "https://x.com/sama/status/1910363426972635455",
<  "sentimentAnalysis": false,
<  "nextCursor": "",
<  "rankingMode": "Relevance"
<}' |
<apify call fastcrawler/twitter-x-comment-scraper-support-sentiment-tone-analyzer --silent --output-dataset

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

The Apify CLI is the official tool that allows you to use Twitter(X) Comment Scraper:Support Sentiment&Tone Analyzer locally, providing convenience functions and automatic retries on errors.

Install the Apify CLI

$npm i -g apify-cli
$apify login

Other API clients include:

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

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

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

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

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