![Twitter ID Scraper avatar](https://images.apifyusercontent.com/8PA81A1L0m7e3youCwIiiDRfw0T66vZyNIQaG3OqTBI/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9Wc1RyZVN1Y3pzWGhoUklxYS9vM1BSMjlmTEZ5bXBoNktZaS1waWdlb24ucG5n.webp)
Twitter ID Scraper
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1 day trial then $8.00/month - No credit card required now
View all Actors![Twitter ID Scraper](https://images.apifyusercontent.com/8PA81A1L0m7e3youCwIiiDRfw0T66vZyNIQaG3OqTBI/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9Wc1RyZVN1Y3pzWGhoUklxYS9vM1BSMjlmTEZ5bXBoNktZaS1waWdlb24ucG5n.webp)
![Twitter ID Scraper](https://images.apifyusercontent.com/8PA81A1L0m7e3youCwIiiDRfw0T66vZyNIQaG3OqTBI/rs:fill:250:250/aHR0cHM6Ly9hcGlmeS1pbWFnZS11cGxvYWRzLXByb2QuczMuYW1hem9uYXdzLmNvbS9Wc1RyZVN1Y3pzWGhoUklxYS9vM1BSMjlmTEZ5bXBoNktZaS1waWdlb24ucG5n.webp)
Twitter ID Scraper
web.harvester/twitter-users-ids-scraper
Try for free
1 day trial then $8.00/month - No credit card required now
Easily extract Twitter 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.
The code examples below show how to run the Actor and get its results. To run the code, you need to have an Apify account. Replace <YOUR_API_TOKEN> in the code with your API token, which you can find under Settings > Integrations in Apify Console. Learn more
1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4client = ApifyClient("<YOUR_API_TOKEN>")
5
6# Prepare the Actor input
7run_input = {
8 "handles": ["elonmusk"],
9 "profilesDesired": 10,
10}
11
12# Run the Actor and wait for it to finish
13run = client.actor("web.harvester/twitter-users-ids-scraper").call(run_input=run_input)
14
15# Fetch and print Actor results from the run's dataset (if there are any)
16print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
17for item in client.dataset(run["defaultDatasetId"]).iterate_items():
18 print(item)
19
20# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start
Developer
Maintained by Community
Actor metrics
- 6 monthly users
- 3 stars
- 100.0% runs succeeded
- Created in Sep 2023
- Modified 7 months ago
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