Pricing

$0.25 / 1,000 tweets

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Twitter Tweet Reply Scrape | $0.25/1K Tweets | Pay-Per Result

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Kaito Easy API

🚀 Instantly scrape Twitter/X replies & conversations with Pay only $0.25/1K tweets. Get complete reply chains, user info & engagement metrics. Perfect for sentiment analysis, market research & competitor tracking. 100% reliable data extraction, no API needed!

5.0 (1)

Pricing

$0.25 / 1,000 tweets

Total users

235

Monthly users

Runs succeeded

>99%

Issues response

4.2 hours

Last modified

8 days ago

Social media

Lead generation

News

You can access the Twitter Tweet Reply Scrape | $0.25/1K Tweets | 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 = { "conversation_ids": ["1846987139428634858"] }
9
10# Run the Actor and wait for it to finish
11run = client.actor("kaitoeasyapi/twitter-reply").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Twitter Tweet Reply Scrape | $0.25/1K Tweets | Pay-Per Result API in Python

The Apify API client for Python is the official library that allows you to use Twitter Tweet Reply Scrape | $0.25/1K Tweets | 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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