
Twitter (X.com) User IDs Scraper
Pricing
$15.00/month + usage

Twitter (X.com) User IDs Scraper
Effortlessly extract Twitter IDs from any Twitter (X.com) profile with our Twitter User ID Scraper. Enter a username, handle, or profile URL to retrieve the unique ID instantly. Export data in JSON, CSV, Excel, XML, or HTML—perfect for API integration, data analysis, and database management.
5.0 (2)
Pricing
$15.00/month + usage
3
Total users
94
Monthly users
11
Runs succeeded
>99%
Last modified
23 days ago
You can access the Twitter (X.com) User IDs 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 "handles": ["elonmusk"],10 "userQueries": [],11 "profilesDesired": 10,12 "proxyConfig": {13 "useApifyProxy": True,14 "apifyProxyGroups": ["RESIDENTIAL"],15 },16}17
18# Run the Actor and wait for it to finish19run = client.actor("web.harvester/twitter-users-ids-scraper").call(run_input=run_input)20
21# Fetch and print Actor results from the run's dataset (if there are any)22print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])23for item in client.dataset(run["defaultDatasetId"]).iterate_items():24 print(item)25
26# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Twitter (X.com) User IDs Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter (X.com) User IDs Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
$pip install apify-client
Other API clients include: