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Twitter (X.com) User IDs Scraper

Pricing

$15.00/month + usage

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Twitter (X.com) User IDs Scraper

Twitter (X.com) User IDs Scraper

Developed by

Web Harvester

Web Harvester

Maintained by Community

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 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 "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 finish
19run = 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: