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("scrapemesh/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

X (Twitter) Post Replies Scraper

scraper_one/x-post-replies-scraper

Extract replies/comments from X posts (tweets) provided as input URLs. Retrieve comment text, author, timestamp, reactions, and more. Ideal for social media monitoring, sentiment analysis, and engagement tracking. 🚀

Scraper One

1.4K

4.9

(3)

X (Twitter) Replies Retweets Scraper

api-ninja/x-twitter-replies-retweets-scraper

🔥 Scrape Twitter/X replies, retweets, tweet info, and retweet checks from tweet URLs or IDs

API ninja

269

5.0

(4)

X (Twitter) Thread & Reply Scraper

krazee_kaushik/x-thread-scraper

Scrape X threads and nested replies with full conversation structure, including hierarchical paths and parent-child relationships. Control depth to capture exactly who replied to whom. Fast, reliable, and no API key required

Krazee

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

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

scrapeengine/twitter-x-reply-scraper

ScrapeEngine

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. 🚀

Scrapier

Twitter X Reply Scraper

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.