Twitter Users IDs Scraper
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Twitter Users IDs Scraper
1 day trial then $15.00/month - No credit card required now
Easily extract Twitter Users' IDs from any user profile using our Twitter ID Scraper. Download your data in versatile formats like JSON and Excel, ensuring seamless integration with a variety of applications, reports, and databases. Ideal for social media analytics and Twitter data analysis.
You can access the Twitter Users IDs Scraper 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 "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-startTwitter ID Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter Users IDs Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Web HarvesterActor Metrics
4 monthly users
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3 bookmarks
95% runs succeeded
Created in Sep 2023
Modified 19 days ago
