🏯 Twitter (X) User Scraper (Pay Per Result)
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Pay $0.30 for 1,000 users
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🏯 Twitter (X) User Scraper (Pay Per Result)
apidojo/twitter-user-scraper
Try for free
Pay $0.30 for 1,000 users
Introducing Twitter (X) User Scraper, the ultimate solution for direct user extraction from Twitter (X). It offers blazing speed and comprehensiveness, delivering lightning-fast user extraction features.
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 "startUrls": [
9 "https://twitter.com/apify",
10 "https://twitter.com/BillGates",
11 "https://twitter.com/SpaceX/status/1725852544587727145",
12 "https://twitter.com/search?q=elon&src=typed_query",
13 ],
14 "searchTerms": [
15 "elonmusk",
16 "taylorswift13",
17 ],
18 "maxItems": 1000,
19 "twitterHandles": [
20 "elonmusk",
21 "taylorswift13",
22 ],
23 "twitterUserIds": [
24 "44196397",
25 "17919972",
26 ],
27 "customMapFunction": "(object) => { return {...object} }",
28}
29
30# Run the Actor and wait for it to finish
31run = client.actor("apidojo/twitter-user-scraper").call(run_input=run_input)
32
33# Fetch and print Actor results from the run's dataset (if there are any)
34print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
35for item in client.dataset(run["defaultDatasetId"]).iterate_items():
36 print(item)
37
38# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startDeveloper
API DojoMaintained by Community
Actor metrics
- 146 monthly users
- 12 stars
- 98.4% runs succeeded
- 4.4 hours response time
- Created in Nov 2023
- Modified about 11 hours ago
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