Twitter Profile Scraper
Pay $40.00 for 1,000 results
Twitter Profile Scraper
Pay $40.00 for 1,000 results
The **Twitter Profile Scraper** collects detailed information from any public Twitter profile. Enter the profile URL to retrieve data such as follower count, post details, and profile information. Ideal for tracking and analyzing Twitter activity.
You can access the Twitter Profile 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 = { "url": "https://x.com/elonmusk" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("pratikdani/twitter-profile-scraper").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
15for item in client.dataset(run["defaultDatasetId"]).iterate_items():
16 print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-startTwitter Profile Scraper API in Python
The Apify API client for Python is the official library that allows you to use Twitter Profile Scraper API in Python, providing convenience functions and automatic retries on errors.
Install the apify-client
pip install apify-clientOther API clients include:
Pratik Dani- 13 monthly users
- 1 star
- 99.0% runs succeeded
- 1.1 days response time
- Created in Aug 2024
- Modified 24 days ago
