Pricing

$5.00/month + usage

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Twitter Profile Scraper

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Developed by

Pratik Dani

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.

5.0 (1)

Pricing

$5.00/month + usage

Total users

244

Monthly users

Runs succeeded

69%

Last modified

14 days ago

Social media

Lead generation

You can access the Twitter Profile 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.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

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-start

Twitter 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-client

Other API clients include:

Twitter Profile Scraper API in JavaScript

Twitter Profile Scraper API through CLI

Twitter Profile Scraper OpenAPI definition

Twitter Profile Scraper API

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