Pricing

from $4.99 / 1,000 results

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.

Pricing

from $4.99 / 1,000 results

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Developer

API Empire

Actor stats

Bookmarked

Total users

Monthly active users

20 days ago

Last modified

Categories

Social media

Developer tools

Automation

You can access the Twitter X Reply Scraper 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

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = {
9    "startUrls": ["https://x.com/search?q=%23journorequest+min_replies%3A10&src=typed_query&f=live"],
10    "proxyConfiguration": { "useApifyProxy": False },
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("api-empire/twitter-x-reply-scraper").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Twitter X Reply Scraper API in Python

The Apify API client for Python is the official library that allows you to use Twitter X Reply Scraper API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Twitter X Reply Scraper API in JavaScript

Twitter X Reply Scraper API through CLI

Twitter X Reply Scraper OpenAPI definition

Twitter X Reply Scraper API

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

scrapemesh/twitter-x-reply-scraper

ScrapeMesh

Twitter X Reply Scraper

scraply/twitter-x-reply-scraper

Scraply

X (Twitter ) Reply Scraper

scrapebase/twitter-x-reply-scraper

ScrapeBase

Twitter X Reply Scraper

scrapeengine/twitter-x-reply-scraper

ScrapeEngine

Twitter X Reply Scraper

scrapepilotapi/twitter-x-reply-scraper

ScrapePilot

Twitter X Reply Scraper

scrapium/twitter-x-reply-scraper

Scrapium

Twitter X Reply Scraper

scraperx/twitter-x-reply-scraper

ScraperX

Twitter X Reply Scraper

scrapio/twitter-x-reply-scraper

💬 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. 🚀

Scrapio

Twitter X Reply Scraper

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. 🚀