Twitter X Scraper: Followers / Followings

Overview

This Apify actor scrapes real-time data from X (Twitter), including posts, timelines, hashtags, searches, and replies. It's designed for lead generation, social media analysis, and SEO tools, providing structured data for market research, sentiment analysis, trend tracking, and brand monitoring.

Key Features

• Extract detailed posts: Captures text, links, and engagement metrics (likes, retweets, replies, quotes).
• Multiple scraping modes: Scrape user timelines, keyword searches, hashtags, or specific post replies.
• Capture conversation threads: Retrieve full threads for deeper context.
• Performance and control: Fast scraping with configurable results limits.
• Flexible export: Output data in JSON, CSV, or directly to Apify datasets for analysis.

How to Use

1. Create a new Actor in Apify.
2. Upload the provided actor code and Dockerfile.
3. Configure the input parameters (see Input section).
4. Run the actor. Results will be available in your chosen dataset format.

Input

Configure the actor using a JSON input object. Here's the main structure:

{
  "Input_Search": [ "elonmusk" ],
  "TypeScraper": "timeline_users",
  "resultsLimit": 19
}

• Input_Search: An array containing the target usernames, keywords, hashtags, or tweet IDs to scrape.
• TypeScraper: The scraping mode. Options are timeline_users, search, hashtags, or replies.
• resultsLimit: The maximum number of posts to collect.

Output

The actor outputs an array of post objects in JSON format. Each object contains comprehensive data.

[
  {
    "type": "timeline_users",
    "link_post": "https://x.com/elonmusk/status/1957668936335651087",
    "retweet_count": 20,
    "reply_count": 54,
    "favorite_count": 180,
    "quote_count": 3,
    "timestamp": 1755579620,
    "source": "Twitter for iPhone",
    "text": "@daniel_flesch @GadSaad @ShirionOrg Wow, a majority in Vienna!",
    "creation_date": "Tue Aug 19 05:00:20 +0000 2025",
    "link_user": "https://x.com/elonmusk",
    "user.full_name": "Elon Musk",
    "user.id": "44196397",
    "user.is_private": false,
    "user.is_verified": false,
    "user.profile_pic_url": null
  }
]

This data can be exported to CSV or used directly via the Apify API for integration into data pipelines, dashboards, or analytical models.