🏯 Twitter (X) User Scraper

The ultimate tool for efficient and high-speed extraction of Twitter (X) user data. Whether you need to gather followers, followings, or retweeters, this scraper is designed for scalability and precision.

     

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Introduction

The Twitter (X) User Scraper enables fast, reliable extraction of user data from Twitter (X), providing researchers, analysts, and businesses with valuable insights. It can scrape user profiles, followers, following lists, and retweeters, all at lightning speeds with minimal setup. If you're working on large datasets or need a quick solution to gather Twitter data, this tool is for you.

Key Features:

• Extracts comprehensive user data, including followers, followings, and retweeters.
• Handles Twitter profiles and Tweet URLs with ease.
• Processes data quickly at speeds of 30-80 users per second.
• Designed for both large-scale and small-scale scraping needs.
• User-friendly interface with extensive customization options.

Features

Feature	Description
Fast Extraction	Scrape up to 80 users per second with minimal delays.
Flexible Input	Supports both Twitter profile and Tweet URLs.
Multi-Functional	Fetch followers, followings, or retweeters as needed.
No Proxy Required	Works without the need for proxies.
Easy Setup	Simple input parameters, no complex configuration.

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What Data This Scraper Extracts

Field Name	Field Description
userName	The username of the Twitter (X) user.
url	Direct URL to the user profile.
followers	The total count of followers for the user.
following	The total count of followings for the user.
description	The bio description of the user.
location	The listed location of the user.
verified	Whether the user is verified.
favouritesCount	The number of tweets the user has liked.
statusesCount	The total number of tweets made by the user.

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Example Output

[
    {
        "followerOf": "elonmusk",
        "type": "user",
        "userName": "ThisIsKyleR",
        "url": "https://x.com/ThisIsKyleR",
        "twitterUrl": "https://twitter.com/ThisIsKyleR",
        "id": "1467931973616386052",
        "name": "Kyle Rittenhouse",
        "isVerified": true,
        "isBlueVerified": true,
        "verifiedType": "business",
        "profilePicture": "https://pbs.twimg.com/profile_images/1726405741798408192/jTrLlE51_normal.jpg",
        "coverPicture": "https://pbs.twimg.com/profile_banners/1467931973616386052/1700442268",
        "description": "Order my new book ACQUITTED today!👇",
        "location": "USA",
        "followers": 1147899,
        "following": 561,
        "protected": false,
        "status": "",
        "canDm": true,
        "canMediaTag": true,
        "createdAt": "Mon Dec 06 19:00:41 +0000 2021"
    }
]

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Directory Structure Tree

twitter-user-scraper/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── twitter_parser.py
│   │   └── utils_time.py
│   ├── outputs/
│   │   └── exporters.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.txt
│   └── sample.json
├── requirements.txt
└── README.md

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Use Cases

• Data Analysts use it to scrape large Twitter (X) datasets for sentiment analysis, so they can analyze social media trends quickly and efficiently.
• Researchers use it to extract followers or retweeters of specific tweets to gather insights for market research.
• Entrepreneurs use it to gather customer sentiment data from Twitter (X) profiles or Tweets, allowing them to make informed business decisions.
• Developers use it to extract user data for integration into applications, allowing them to enrich their platforms with social media insights.

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FAQs

How do I retrieve user data for multiple profiles? Simply provide the usernames multiple times in the twitterHandles input field, ensuring the total number of entries meets the minimum requirement of 5.

Can I scrape followers from a Tweet URL? Yes, you can extract followers from a specific Tweet URL. Just ensure you enable the "getFollowers" option.

What is the maximum number of users I can scrape? There is no strict upper limit, but the performance depends on the number of items requested. Adjust the maxItems field based on the size of your task.

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Performance Benchmarks and Results

Primary Metric: Scrapes 30-80 users per second with high accuracy. Reliability Metric: 99% success rate when parameters are correctly configured. Efficiency Metric: Handles 100k+ users with minimal server resource usage. Quality Metric: High data completeness, with over 95% of fields populated across test samples.

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