Premium X User Scraper | $0.15/1000 Users | Pay Per Result
Pay $0.15 for 1,000 Users
Premium X User Scraper | $0.15/1000 Users | Pay Per Result
Pay $0.15 for 1,000 Users
Just $0.15 per 1000 profiles! Premium Twitter(X) User Data Extractor. Get instant access to comprehensive user details: bio, metrics, verified status & more. Trusted by analysts for accurate data. Lightning - fast extraction, 99.9% success rate. Blazing - fast: 40 profiles/second for bulk extraction
You can access the Premium X User Scraper | $0.15/1000 Users | Pay Per Result 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 = { "user_ids": [
9 44196397,
10 1055894724245155800,
11 ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("kaitoeasyapi/premium-twitter-user-scraper-pay-per-result").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-startPremium X User Scraper | $0.15/1000 Users | Pay Per Result API in Python
The Apify API client for Python is the official library that allows you to use Premium X User Scraper | $0.15/1000 Users | Pay Per Result API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Kaito Easy API- 2 monthly users
- 2 stars
- Created in Nov 2024
- Modified about 8 hours ago
