Twitter (X) Reply Scraper
2 hours trial then $20.00/month - No credit card required now
Twitter (X) Reply Scraper
2 hours trial then $20.00/month - No credit card required now
Extract detailed information about tweets and their replies from Twitter/ X.com. This scraper can collect data on tweet & comment details, user information, and reply content, providing valuable insights for social media analysis, sentiment tracking, or trend monitoring.
You can access the Twitter (X) Reply Scraper programmatically from your own Python 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 "startUrls": [{ "url": "https://x.com/search?q=%23journorequest+min_replies%3A10&src=typed_query&f=live" }],
10 "maxRequestsPerCrawl": 10,
11}
12
13# Run the Actor and wait for it to finish
14run = client.actor("louisdeconinck/twitter-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-startTwitter (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-clientOther API clients include:
Louis Deconinck- 31 monthly users
- 1 star
- 100.0% runs succeeded
- Created in Oct 2024
- Modified 16 days ago
