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$0.40 / 1,000 results

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Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ｜ 2025

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fastcrawler

Get 1,000 Twitter replies(comments) for just $0.40! 🚀 Instantly download Twitter replies and comments. Our tool provides precise and rapid data extraction, no coding required. Pay only for the data you need, and gain valuable insights for market analysis, sentiment monitoring, and more.

0.0 (0)

Pricing

$0.40 / 1,000 results

Total users

Monthly users

Runs succeeded

>99%

Issues response

5.3 hours

Last modified

11 days ago

Social media

Automation

You can access the Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ｜ 2025 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    "conversationIds": ["1895950135865327920"],
10    "queryType": "Top",
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("fastcrawler/twitter-reply-scraper-0-4-1k-tweets-pay-per-result-2025").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 Reply Scraper | $0.4/1K Tweets | Pay-Per Result ｜ 2025 API in Python

The Apify API client for Python is the official library that allows you to use Twitter Reply Scraper | $0.4/1K Tweets | Pay-Per Result ｜ 2025 API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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