
Twitter (X) Reply Scraper
Pricing
$20.00/month + usage

Twitter (X) Reply Scraper
Extract detailed information about tweets and their replies from Twitter/ X.com. This scraper collects data on tweet & comment details, user information, and reply content, providing insights for social media analysis, sentiment tracking & trend monitoring. No authentication or cookies needed.
5.0 (3)
Pricing
$20.00/month + usage
4
Total users
219
Monthly users
31
Runs succeeded
51%
Issue response
0.36 hours
Last modified
a month ago
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.
1from apify_client import ApifyClient2
3# Initialize the ApifyClient with your Apify API token4# Replace '<YOUR_API_TOKEN>' with your token.5client = ApifyClient("<YOUR_API_TOKEN>")6
7# Prepare the Actor input8run_input = {9 "startUrls": [{ "url": "https://x.com/search?q=%23journorequest+min_replies%3A10&src=typed_query&f=live" }],10 "maxSearchResults": 5,11 "maxReplies": 5,12}13
14# Run the Actor and wait for it to finish15run = client.actor("louisdeconinck/twitter-reply-scraper").call(run_input=run_input)16
17# Fetch and print Actor results from the run's dataset (if there are any)18print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])19for item in client.dataset(run["defaultDatasetId"]).iterate_items():20 print(item)21
22# 📚 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: