Pricing

$0.15 / 1,000 users

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Twitter (X) Follower Scraper | $0.1 / 1K | Email| No Rate Limit

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twlo low

$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!

3.0 (8)

Pricing

$0.15 / 1,000 users

Issues response

14 hours

Last modified

a month ago

Social media

Lead generation

You can access the Twitter (X) Follower Scraper | $0.1 / 1K | Email| No Rate Limit 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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": ["elonmusk"],
10    "user_ids": [],
11    "maxFollowers": 200,
12    "maxFollowings": 200,
13    "getFollowers": True,
14    "getFollowing": True,
15}
16
17# Run the Actor and wait for it to finish
18run = client.actor("kaitoeasyapi/premium-x-follower-scraper-following-data").call(run_input=run_input)
19
20# Fetch and print Actor results from the run's dataset (if there are any)
21print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
22for item in client.dataset(run["defaultDatasetId"]).iterate_items():
23    print(item)
24
25# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Twitter (X) Follower Scraper | $0.1 / 1K | Email| 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 | Email| No Rate Limit API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

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