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

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

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

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

fastcrawler/twitter-reply-scraper-0-4-1k-tweets-pay-per-result-2025
Try for free

Pay $0.40 for 1,000 results

Get 1,000 Twitter replies(comments) for just $0.40! 🚀 Effortlessly scrape Twitter comments(replies) with precision and lightning speed. No coding required — pay only for the results you get. Perfect for quick, reliable insights!

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  • Created in Mar 2025

  • Modified a day ago

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.

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    "conversationId": "1895950135865327920",
10    "queryType": "Latest",
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

Other API clients include: