Pricing

from $3.99 / 1,000 results

Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown

💬 Twitter/X Reply Scraper extracts tweet replies at scale—usernames, text, timestamps, IDs & thread context. 🔎 Perfect for social listening, sentiment, competitor research & engagement tracking. ⚡ CSV/JSON export for dashboards, BI & automation. 🚀

Pricing

from $3.99 / 1,000 results

Rating

0.0

(0)

Developer

Scrapio

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

Categories

Social media

Automation

Developer tools

You can access the Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown 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

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "startUrls": [
12        "https://x.com/search?q=%23journorequest+min_replies%3A10&src=typed_query&f=live"
13    ],
14    "proxyConfiguration": {
15        "useApifyProxy": false
16    }
17};
18
19// Run the Actor and wait for it to finish
20const run = await client.actor("scrapio/twitter-x-reply-scraper").call(input);
21
22// Fetch and print Actor results from the run's dataset (if any)
23console.log('Results from dataset');
24console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
25const { items } = await client.dataset(run.defaultDatasetId).listItems();
26items.forEach((item) => {
27    console.dir(item);
28});
29
30// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown API in Python

Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown API through CLI

Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown OpenAPI definition

Twitter X Reply Scraper: Reply Sentiment & Tone Breakdown API

Twitter X Reply Scraper — Conversation Engagement Analytics

scrapier/twitter-x-reply-scraper

🐦 Twitter X Reply Scraper collects tweet replies at scale—usernames, timestamps, text, likes—from public threads. 🔎 Ideal for social listening, brand monitoring, competitor analysis & research. 📊 Export CSV/JSON and integrate via API for sentiment, reporting & dashboards. 🚀

Scrapier

Twitter X Reply Scraper

scraper-engine/twitter-x-reply-scraper

🐦 Twitter X Reply Scraper (twitter-x-reply-scraper) extracts public replies from X posts—usernames, handles, timestamps, text, and engagement—at scale. 🔎 Threads, filters & pagination. 📄 Export CSV/JSON. ⚡ Perfect for social listening, brand monitoring, research & customer support.

Scraper Engine

Twitter X Reply Scraper By Verified & Engagement Filter

api-empire/twitter-x-reply-scraper

💬 Twitter X Reply Scraper captures public replies from X/Twitter threads — usernames, timestamps, text, links, IDs & engagement. ⚡ Export CSV/JSON, filter by keywords, track sentiment & monitor campaigns. 🚀 Perfect for social listening, customer support, and research.

API Empire

Twitter X Reply Scraper

scrapeengine/twitter-x-reply-scraper

ScrapeEngine

Twitter X Reply Scraper

scraperx/twitter-x-reply-scraper

ScraperX

X (Twitter) Tweet Replies Scraper — Comments & Sentiment

seemuapps/x-tweet-replies-scraper

Extract every reply under any X (Twitter) post — full text, author, and engagement metrics. Perfect for sentiment analysis, brand monitoring, and community research.

Andrew

X (Twitter) Comments Scraper - Export Tweet Replies

vulnv/twitter-comments-scraper

Scrape comments and replies from any X (Twitter) post. Export the reply text, author profile, likes, retweets, reply and view counts to JSON, CSV or Excel. No login or cookies needed.

VulnV

Twitter X Posts Scraper With Contact Links

scrapier/Twitter-X-Posts-Scraper

🐦 Twitter X Posts Scraper extracts X posts/tweets at scale — by user, hashtag, keyword, or date — with text, hashtags, mentions, links, media, timestamps, likes, replies & reposts. 📊 Perfect for social listening, competitor analysis, sentiment & marketing research. ⚡ CSV/JSON export.

Scrapier

Twitter X Posts Scraper By Keyword & Hashtag Search

scrapelabsapi/Twitter-X-Posts-Scraper

Twitter X Posts Scraper By Keyword & Hashtag Search collects posts from X with text, timestamps, likes, reposts, replies, hashtags & media links. Fast, reliable, and scalable for social listening, competitor tracking, sentiment and marketing research.

ScrapeLabs

X/Twitter Tweet Replies Scraper

scrapesmith/x-twitter-tweet-replies-scraper

Extract all replies and conversations from any X (Twitter) tweet. Get full reply threads with author details, engagement stats, timestamps and media. Perfect for sentiment analysis, customer feedback tracking and archiving viral threads.