Pricing

from $0.00015 / replies

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X (Twitter) Reply Scraper | $0.15/1K Replies | Pay-Per Result

Try for free

Scrape X (Twitter) replies, comments, conversations & profile reply timelines for $0.15 per 1,000 rows on paid Apify plans. Bulk URLs or IDs. Nested replies. Filters run before billing. No start fee. No query fee. No X login. Built by Xquik. Not affiliated with X Corp.

Pricing

from $0.00015 / replies

Rating

5.0

(4)

Developer

Xquik

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

Social media

Lead generation

Developer tools

You can access the X (Twitter) Reply Scraper | $0.15/1K Replies | Pay-Per Result 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": [{ "url": "https://x.com/OpenAI/status/2082577277246972300" }],
10    "maxItems": 25,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("xquik/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

X (Twitter) Reply Scraper | $0.15/1K API in Python

The Apify API client for Python is the official library that allows you to use X (Twitter) Reply Scraper | $0.15/1K Replies | Pay-Per Result API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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