Twitter (X) Follower Scraper | $0.1 / 1K Users | No Rate Limit
Pay $0.10 for 1,000 Users
Twitter (X) Follower Scraper | $0.1 / 1K Users | No Rate Limit
Pay $0.10 for 1,000 Users
$0.1 per 1000 twitter followers/following! The most affordable X data scraper. Get instant access to follower & following lists. Trusted by marketing pros for accurate social data. Lightning - fast extraction, 99.9% success rate. Start collecting valuable twitter(X) data today!
You can access the Twitter (X) Follower Scraper | $0.1 / 1K Users | No Rate Limit 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 "user_names": ["kaitoEasyAPI"],
10 "user_ids": [1846987139428635000],
11 "getFollowers": True,
12 "getFollowing": True,
13}
14
15# Run the Actor and wait for it to finish
16run = client.actor("kaitoeasyapi/premium-x-follower-scraper-following-data").call(run_input=run_input)
17
18# Fetch and print Actor results from the run's dataset (if there are any)
19print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
20for item in client.dataset(run["defaultDatasetId"]).iterate_items():
21 print(item)
22
23# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter (X) Follower Scraper | $0.1 / 1K Users | No Rate Limit API in Python
The Apify API client for Python is the official library that allows you to use Twitter (X) Follower Scraper | $0.1 / 1K Users | No Rate Limit API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Kaito Easy APIActor Metrics
73 monthly users
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9 stars
77% runs succeeded
0.016 hours response time
Created in Nov 2024
Modified 4 days ago
